From 71bdb01547ed26f8742cbdb470d03fd005c861dc Mon Sep 17 00:00:00 2001 From: LinasKo Date: Mon, 24 Jun 2024 15:35:21 +0300 Subject: [PATCH] Sinks cookbooks: add 'person' label, min_consectutive_frames --- .../serialise-detections-to-csv.ipynb | 12577 +-------------- .../serialise-detections-to-json.ipynb | 12581 +--------------- 2 files changed, 286 insertions(+), 24872 deletions(-) diff --git a/docs/notebooks/serialise-detections-to-csv.ipynb b/docs/notebooks/serialise-detections-to-csv.ipynb index 4ca5806a..01173ff0 100644 --- a/docs/notebooks/serialise-detections-to-csv.ipynb +++ b/docs/notebooks/serialise-detections-to-csv.ipynb @@ -37,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 5, "metadata": { "id": "6vRfXc_Je5Ee" }, @@ -72,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 6, "metadata": { "id": "urRjZjh2f30v" }, @@ -120,7 +120,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -161,13 +161,13 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 8, "metadata": { "id": "Jpw_TzAsm2oL" }, "outputs": [], "source": [ - "byte_track = sv.ByteTrack()\n", + "byte_track = sv.ByteTrack(minimum_consecutive_frames=3)\n", "byte_track.reset()" ] }, @@ -186,7 +186,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 32, "metadata": { "id": "-yvv6N1uTKSl" }, @@ -211,7 +211,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 33, "metadata": { "id": "eRQiVkblapCk" }, @@ -219,14 +219,18 @@ "source": [ "def callback(predictions: dict, frame: VideoFrame) -> np.ndarray:\n", " detections = sv.Detections.from_inference(predictions)\n", + "\n", + " # Only keep person detections\n", " detections = detections[detections.class_id == 0]\n", + " detections.data[\"class_name\"] = np.array([\"person\" for _ in range(len(detections))])\n", + "\n", " detections = byte_track.update_with_detections(detections)\n", " csv_sink.append(detections, custom_data={'frame_number': frame.frame_id})" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 34, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -256,7 +260,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 35, "metadata": { "id": "bYpA9VxBsOvS" }, @@ -268,7 +272,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 36, "metadata": { "id": "RrewOF02AYta" }, @@ -292,7 +296,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 37, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -330,63 +334,69 @@ " class_id\n", " confidence\n", " tracker_id\n", + " class_name\n", " frame_number\n", " \n", " \n", " \n", " \n", " 0\n", - " 1460.000000\n", - " 469.00000\n", - " 1544.00000\n", - " 641.00000\n", + " 1142.0\n", + " 950.0\n", + " 1245.0\n", + " 1080.0\n", " 0\n", - " 0.805656\n", - " 1\n", + " 0.767850\n", + " 185\n", + " person\n", " 1\n", " \n", " \n", " 1\n", - " 1447.000000\n", - " 320.00000\n", - " 1516.00000\n", - " 480.00000\n", + " 750.0\n", + " 450.0\n", + " 823.0\n", + " 620.0\n", " 0\n", - " 0.786558\n", - " 2\n", + " 0.748268\n", + " 168\n", + " person\n", " 1\n", " \n", " \n", " 2\n", - " 1142.000000\n", - " 950.00000\n", - " 1245.00000\n", - " 1080.00000\n", + " 1419.0\n", + " 702.0\n", + " 1526.0\n", + " 887.0\n", " 0\n", - " 0.767850\n", - " 3\n", + " 0.550286\n", + " 179\n", + " person\n", " 1\n", " \n", " \n", " 3\n", - " 259.000000\n", - " 435.00000\n", - " 326.00000\n", - " 610.00000\n", + " 1674.0\n", + " 12.0\n", + " 1727.0\n", + " 141.0\n", " 0\n", - " 0.765763\n", - " 4\n", + " 0.546864\n", + " 174\n", + " person\n", " 1\n", " \n", " \n", " 4\n", - " 665.000000\n", - " 649.00000\n", - " 744.00000\n", - " 851.00000\n", + " 1616.0\n", + " 18.0\n", + " 1655.0\n", + " 127.0\n", " 0\n", - " 0.765134\n", - " 5\n", + " 0.520566\n", + " 181\n", + " person\n", " 1\n", " \n", " \n", @@ -399,98 +409,104 @@ " ...\n", " ...\n", " ...\n", + " ...\n", " \n", " \n", - " 9024\n", - " 391.778870\n", - " 470.54680\n", - " 461.86307\n", - " 632.92175\n", + " 8757\n", + " 394.0\n", + " 471.0\n", + " 460.0\n", + " 633.0\n", " 0\n", " 0.466400\n", - " 97\n", + " 244\n", + " person\n", " 341\n", " \n", " \n", - " 9025\n", - " 1012.071800\n", - " 59.12985\n", - " 1052.57750\n", - " 174.31790\n", + " 8758\n", + " 115.0\n", + " 256.0\n", + " 199.0\n", + " 399.0\n", " 0\n", - " 0.403422\n", - " 99\n", + " 0.431374\n", + " 223\n", + " person\n", " 341\n", " \n", " \n", - " 9026\n", - " 1854.523700\n", - " 259.76390\n", - " 1914.65420\n", - " 442.42612\n", - " 0\n", - " 0.719575\n", - " 100\n", - " 341\n", - " \n", - " \n", - " 9027\n", - " 74.071335\n", - " 700.19543\n", - " 173.33969\n", - " 893.13947\n", + " 8759\n", + " 77.0\n", + " 700.0\n", + " 169.0\n", + " 892.0\n", " 0\n", " 0.416318\n", - " 84\n", + " 240\n", + " person\n", " 341\n", " \n", " \n", - " 9028\n", - " 430.643300\n", - " 464.88147\n", - " 499.40198\n", - " 604.87256\n", + " 8760\n", + " 1010.0\n", + " 59.0\n", + " 1055.0\n", + " 174.0\n", " 0\n", - " 0.310143\n", - " 101\n", + " 0.403422\n", + " 246\n", + " person\n", + " 341\n", + " \n", + " \n", + " 8761\n", + " 1758.0\n", + " 0.0\n", + " 1809.0\n", + " 96.0\n", + " 0\n", + " 0.313793\n", + " 236\n", + " person\n", " 341\n", " \n", " \n", "\n", - "

9029 rows \u00d7 8 columns

\n", + "

8762 rows \u00d7 9 columns

\n", "" ], "text/plain": [ - " x_min y_min x_max y_max class_id confidence \\\n", - "0 1460.000000 469.00000 1544.00000 641.00000 0 0.805656 \n", - "1 1447.000000 320.00000 1516.00000 480.00000 0 0.786558 \n", - "2 1142.000000 950.00000 1245.00000 1080.00000 0 0.767850 \n", - "3 259.000000 435.00000 326.00000 610.00000 0 0.765763 \n", - "4 665.000000 649.00000 744.00000 851.00000 0 0.765134 \n", - "... ... ... ... ... ... ... \n", - "9024 391.778870 470.54680 461.86307 632.92175 0 0.466400 \n", - "9025 1012.071800 59.12985 1052.57750 174.31790 0 0.403422 \n", - "9026 1854.523700 259.76390 1914.65420 442.42612 0 0.719575 \n", - "9027 74.071335 700.19543 173.33969 893.13947 0 0.416318 \n", - "9028 430.643300 464.88147 499.40198 604.87256 0 0.310143 \n", + " x_min y_min x_max y_max class_id confidence tracker_id \\\n", + "0 1142.0 950.0 1245.0 1080.0 0 0.767850 185 \n", + "1 750.0 450.0 823.0 620.0 0 0.748268 168 \n", + "2 1419.0 702.0 1526.0 887.0 0 0.550286 179 \n", + "3 1674.0 12.0 1727.0 141.0 0 0.546864 174 \n", + "4 1616.0 18.0 1655.0 127.0 0 0.520566 181 \n", + "... ... ... ... ... ... ... ... \n", + "8757 394.0 471.0 460.0 633.0 0 0.466400 244 \n", + "8758 115.0 256.0 199.0 399.0 0 0.431374 223 \n", + "8759 77.0 700.0 169.0 892.0 0 0.416318 240 \n", + "8760 1010.0 59.0 1055.0 174.0 0 0.403422 246 \n", + "8761 1758.0 0.0 1809.0 96.0 0 0.313793 236 \n", "\n", - " tracker_id frame_number \n", - "0 1 1 \n", - "1 2 1 \n", - "2 3 1 \n", - "3 4 1 \n", - "4 5 1 \n", - "... ... ... \n", - "9024 97 341 \n", - "9025 99 341 \n", - "9026 100 341 \n", - "9027 84 341 \n", - "9028 101 341 \n", + " class_name frame_number \n", + "0 person 1 \n", + "1 person 1 \n", + "2 person 1 \n", + "3 person 1 \n", + "4 person 1 \n", + "... ... ... \n", + "8757 person 341 \n", + "8758 person 341 \n", + "8759 person 341 \n", + "8760 person 341 \n", + "8761 person 341 \n", "\n", - "[9029 rows x 8 columns]" + "[8762 rows x 9 columns]" ] }, - "execution_count": 27, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -511,7 +527,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 38, "metadata": { "id": "aa24sW8FI-xV" }, @@ -566,7 +582,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 39, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -576,12335 +592,26 @@ }, "outputs": [ { - "data": { - "text/plain": [ - "[Detections(xyxy=array([[1460., 469., 1544., 641.],\n", - " [1447., 320., 1516., 480.],\n", - " [1142., 950., 1245., 1080.],\n", - " [ 259., 435., 326., 610.],\n", - " [ 665., 649., 744., 851.],\n", - " [ 750., 450., 823., 620.],\n", - " [1794., 144., 1851., 272.],\n", - " [1202., 128., 1255., 263.],\n", - " [ 710., 242., 765., 387.],\n", - " [ 199., 44., 265., 161.],\n", - " [1091., 46., 1133., 148.],\n", - " [1419., 702., 1526., 887.],\n", - " [1674., 12., 1727., 141.],\n", - " [ 566., 271., 629., 405.],\n", - " [ 32., 793., 137., 990.],\n", - " [1616., 18., 1655., 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0.45141318, 0.5006808 , 0.361104 , 0.413945 ,\n", - " 0.3610831 , 0.41018718, 0.38015574, 0.3550932 , 0.42105192,\n", - " 0.6910728 , 0.4535978 , 0.43746734, 0.3902371 , 0.32082507],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 20, 21, 22, 24, 29, 31, 23, 34, 35, 15, 25, 28]), data={'frame_number': ['9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9', '9']}),\n", - " Detections(xyxy=array([[1.47469263e+03, 4.95624634e+02, 1.55639343e+03, 6.62523438e+02],\n", - " [1.46283179e+03, 3.43140320e+02, 1.53349792e+03, 5.05608826e+02],\n", - " [1.12049097e+03, 8.89918823e+02, 1.25641736e+03, 1.07728430e+03],\n", - " [2.50140701e+02, 4.64855774e+02, 3.21812408e+02, 6.40426941e+02],\n", - " [6.74508545e+02, 6.00233521e+02, 7.50095398e+02, 7.92497192e+02],\n", - " [7.52966675e+02, 4.17794647e+02, 8.18815430e+02, 5.74805664e+02],\n", - " [1.79770825e+03, 1.55897064e+02, 1.85863599e+03, 2.87414886e+02],\n", - " [1.20398535e+03, 1.11818253e+02, 1.25615894e+03, 2.48208298e+02],\n", - " [7.10841797e+02, 2.16294342e+02, 7.67889771e+02, 3.66009430e+02],\n", - " [2.28137817e+02, 2.97617226e+01, 2.89912628e+02, 1.44771637e+02],\n", - " [1.09296863e+03, 5.33406792e+01, 1.13689880e+03, 1.57803864e+02],\n", - " [1.39305432e+03, 7.08169678e+02, 1.49807202e+03, 8.87549500e+02],\n", - " [1.67904224e+03, 1.47348032e+01, 1.73505029e+03, 1.48444183e+02],\n", - " [5.69793945e+02, 2.79660797e+02, 6.33836182e+02, 4.17653320e+02],\n", - " [1.62175732e+03, 1.97449284e+01, 1.66067163e+03, 1.27677307e+02],\n", - " [1.17283264e+03, 1.38572678e+02, 1.21893494e+03, 2.57842346e+02],\n", - " [9.18291245e+01, 1.27301216e+02, 1.45159088e+02, 2.48863129e+02],\n", - " [9.25430969e+02, 1.89483002e+02, 9.81158081e+02, 3.24513824e+02],\n", - 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0.62932444, 0.6661068 , 0.44641212, 0.45320004, 0.4621664 ,\n", - " 0.528739 , 0.65719557, 0.52820295, 0.6087802 , 0.5293806 ,\n", - " 0.4178263 , 0.46833682, 0.5284926 , 0.41437942, 0.45302907,\n", - " 0.39826244, 0.35476407, 0.392907 , 0.4800076 , 0.41404808,\n", - " 0.6238171 , 0.39024618, 0.38107595, 0.42679095, 0.38477117],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 20, 21, 22, 24, 29, 31, 23, 34, 35, 15, 25, 33]), data={'frame_number': ['10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10', '10']}),\n", - " Detections(xyxy=array([[1.4755292e+03, 5.0129321e+02, 1.5583114e+03, 6.7027881e+02],\n", - " [1.4629800e+03, 3.4659683e+02, 1.5341847e+03, 5.1018567e+02],\n", - " [1.1200034e+03, 8.8527856e+02, 1.2528438e+03, 1.0718217e+03],\n", - " [2.4958005e+02, 4.6731473e+02, 3.2267276e+02, 6.4480096e+02],\n", - " [6.7468073e+02, 5.9782129e+02, 7.5123914e+02, 7.9276147e+02],\n", - " [7.5184766e+02, 4.1554538e+02, 8.1848828e+02, 5.7588562e+02],\n", - " [1.7978014e+03, 1.5627522e+02, 1.8593817e+03, 2.8823123e+02],\n", - " [1.2045608e+03, 1.0884772e+02, 1.2563116e+03, 2.4561932e+02],\n", - " [7.1107812e+02, 2.1597263e+02, 7.6734290e+02, 3.6355722e+02],\n", - " [2.3130760e+02, 2.6833277e+01, 2.9403952e+02, 1.4382112e+02],\n", - " [1.0928285e+03, 5.3344868e+01, 1.1366317e+03, 1.5682912e+02],\n", - " [1.3922628e+03, 7.0887152e+02, 1.4958892e+03, 8.8648407e+02],\n", - " [1.6794515e+03, 1.6373573e+01, 1.7356848e+03, 1.5046074e+02],\n", - " [5.6943457e+02, 2.8664676e+02, 6.3266046e+02, 4.2282239e+02],\n", - " [1.6216949e+03, 1.9988523e+01, 1.6608373e+03, 1.2790082e+02],\n", - " [1.1730504e+03, 1.3709830e+02, 1.2187688e+03, 2.5509882e+02],\n", - " [9.2589500e+01, 1.2840233e+02, 1.4521437e+02, 2.4882227e+02],\n", - " [9.2539117e+02, 1.9091562e+02, 9.8016101e+02, 3.2390417e+02],\n", - " [9.0487775e+02, 8.3378372e+01, 9.4370105e+02, 1.9568718e+02],\n", - " [7.9767163e+02, 7.1205627e+01, 8.3986328e+02, 1.9382159e+02],\n", - " [8.5141968e+02, 6.3640194e+01, 8.9199615e+02, 1.9282602e+02],\n", - " [1.5898987e+03, 1.8959801e+01, 1.6312512e+03, 1.2433023e+02],\n", - " [3.4294971e+02, 4.9050549e+02, 3.9931967e+02, 6.3316705e+02],\n", - " [3.7699744e+02, 9.1097431e+00, 4.2324203e+02, 1.2474036e+02],\n", - " [1.8462303e+03, 6.4542749e+02, 1.9225341e+03, 8.3704395e+02],\n", - " [1.3865629e+03, 2.5442178e+00, 1.4427369e+03, 1.8171318e+02],\n", - " [7.2494922e+02, 1.6508420e+00, 7.6585284e+02, 9.1395775e+01],\n", - " [1.6966608e+03, 9.1400002e+01, 1.7863392e+03, 3.0420001e+02],\n", - " [9.8668542e+02, 1.1427111e+02, 1.0429216e+03, 2.5568961e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.47303125, 0.77498686, 0.8092903 , 0.73588127, 0.83034205,\n", - " 0.64422596, 0.6744968 , 0.43937075, 0.49456808, 0.5088695 ,\n", - " 0.5165414 , 0.735908 , 0.5267669 , 0.5337224 , 0.53065217,\n", - " 0.401164 , 0.51645446, 0.5390071 , 0.33272687, 0.38811356,\n", - " 0.31039506, 0.35379815, 0.43664104, 0.4721255 , 0.68150616,\n", - " 0.36316648, 0.46171415, 0.36240268, 0.3491185 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 20, 21, 22, 24, 29, 31, 34, 35, 25, 37, 33]), data={'frame_number': ['11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11', '11']}),\n", - " Detections(xyxy=array([[1.4758683e+03, 5.0333737e+02, 1.5602388e+03, 6.7576544e+02],\n", - " [1.4628693e+03, 3.5044803e+02, 1.5351458e+03, 5.1644232e+02],\n", - " [1.1172527e+03, 8.8046393e+02, 1.2507664e+03, 1.0722969e+03],\n", - " [2.4854749e+02, 4.7077081e+02, 3.2253833e+02, 6.4894238e+02],\n", - " [6.7463690e+02, 5.9511230e+02, 7.5173413e+02, 7.9170227e+02],\n", - " [7.5058203e+02, 4.1481995e+02, 8.1659045e+02, 5.7573767e+02],\n", - " [1.7981934e+03, 1.5704710e+02, 1.8599219e+03, 2.8848425e+02],\n", - " [1.2050026e+03, 1.0645986e+02, 1.2567898e+03, 2.4471352e+02],\n", - " [7.1130579e+02, 2.1395033e+02, 7.6764435e+02, 3.6202710e+02],\n", - " [2.3418843e+02, 2.4464315e+01, 2.9697202e+02, 1.4218436e+02],\n", - " [1.0926022e+03, 5.3315693e+01, 1.1366842e+03, 1.5643703e+02],\n", - " [1.3900911e+03, 7.0978601e+02, 1.4924485e+03, 8.8676776e+02],\n", - " [1.6796859e+03, 1.8304832e+01, 1.7357880e+03, 1.5184511e+02],\n", - " [5.6927905e+02, 2.9131104e+02, 6.3219550e+02, 4.2676486e+02],\n", - " [1.6217900e+03, 1.9398851e+01, 1.6607314e+03, 1.2597027e+02],\n", - " [1.1726699e+03, 1.3457814e+02, 1.2184126e+03, 2.5217209e+02],\n", - " [9.2919456e+01, 1.2881776e+02, 1.4516904e+02, 2.4882558e+02],\n", - " [9.2600159e+02, 1.9138972e+02, 9.8050958e+02, 3.2361862e+02],\n", - " [9.0629022e+02, 7.8859779e+01, 9.4531824e+02, 1.9208409e+02],\n", - " [7.9693683e+02, 7.0284744e+01, 8.3941223e+02, 1.9442030e+02],\n", - " [8.5134283e+02, 6.2970787e+01, 8.9164606e+02, 1.9218350e+02],\n", - " [1.5906128e+03, 1.8967222e+01, 1.6316534e+03, 1.2419788e+02],\n", - " [3.4212354e+02, 4.8932974e+02, 3.9847940e+02, 6.3280859e+02],\n", - " [3.7730673e+02, 7.4761357e+00, 4.2382367e+02, 1.2316646e+02],\n", - " [1.8458496e+03, 6.4362158e+02, 1.9222168e+03, 8.3629492e+02],\n", - " [1.3853604e+03, 2.1055956e+00, 1.4414994e+03, 1.8118306e+02],\n", - " [7.2468140e+02, 3.6071271e-01, 7.6614410e+02, 9.0694641e+01],\n", - " [1.6984042e+03, 9.3413635e+01, 1.7869193e+03, 3.0327063e+02],\n", - " [9.8644232e+02, 1.1527849e+02, 1.0429680e+03, 2.5700412e+02],\n", - " [3.8944028e+02, 4.9639999e+02, 4.5675974e+02, 6.6820001e+02],\n", - " [5.4572414e+01, 8.1092487e+02, 1.5252029e+02, 9.8849017e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.543808 , 0.73424476, 0.80752325, 0.7320458 , 0.83668715,\n", - " 0.5976478 , 0.6972042 , 0.434889 , 0.5386827 , 0.4794286 ,\n", - " 0.55111593, 0.7459599 , 0.51143473, 0.5501023 , 0.52341545,\n", - " 0.37782198, 0.5506868 , 0.63986593, 0.3116889 , 0.40723097,\n", - " 0.33176607, 0.3650251 , 0.41972855, 0.5597423 , 0.7571516 ,\n", - " 0.3597949 , 0.41683212, 0.43374136, 0.39001417, 0.39669874,\n", - " 0.42633584], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 20, 21, 22, 24, 29, 31, 34, 35, 25, 37, 33, 39, 15]), data={'frame_number': ['12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12', '12']}),\n", - " Detections(xyxy=array([[1.47804443e+03, 5.09285339e+02, 1.56278345e+03, 6.82995361e+02],\n", - " [1.46496313e+03, 3.52453064e+02, 1.53789648e+03, 5.19333862e+02],\n", - " [1.11316479e+03, 8.72328735e+02, 1.24851953e+03, 1.07185571e+03],\n", - " [2.47213501e+02, 4.77254059e+02, 3.21484711e+02, 6.54319092e+02],\n", - " [6.73684326e+02, 5.87654785e+02, 7.51489807e+02, 7.87479004e+02],\n", - " [7.49399841e+02, 4.10030731e+02, 8.15945068e+02, 5.74468140e+02],\n", - " [1.79945093e+03, 1.58634781e+02, 1.86230212e+03, 2.92532379e+02],\n", - " [1.20611060e+03, 1.03631721e+02, 1.25467749e+03, 2.32474762e+02],\n", - " [7.12305481e+02, 2.11946442e+02, 7.66825195e+02, 3.54858582e+02],\n", - " [2.38018143e+02, 2.42962322e+01, 2.99066406e+02, 1.38961395e+02],\n", - " [1.09175830e+03, 5.73013916e+01, 1.13677734e+03, 1.61633484e+02],\n", - " [1.38511377e+03, 7.12117432e+02, 1.48479834e+03, 8.86208740e+02],\n", - " [1.67984607e+03, 2.03400841e+01, 1.73570081e+03, 1.52986465e+02],\n", - " [5.68623474e+02, 2.95666412e+02, 6.31270874e+02, 4.30844452e+02],\n", - " [1.62161047e+03, 1.84969692e+01, 1.66153198e+03, 1.26592392e+02],\n", - " [1.17326074e+03, 1.34386932e+02, 1.21884290e+03, 2.50532120e+02],\n", - " [9.18632050e+01, 1.26957397e+02, 1.44299835e+02, 2.48170197e+02],\n", - " [9.25012207e+02, 1.92185410e+02, 9.80510559e+02, 3.27503784e+02],\n", - " [7.96638977e+02, 6.86241760e+01, 8.39284180e+02, 1.94003174e+02],\n", - " [8.50467590e+02, 6.07530632e+01, 8.91048584e+02, 1.91953796e+02],\n", - " [1.59139258e+03, 1.83064594e+01, 1.63255713e+03, 1.24137924e+02],\n", - " [3.43256805e+02, 4.89596405e+02, 3.99455383e+02, 6.32706116e+02],\n", - " [3.78697083e+02, 6.22843361e+00, 4.23972717e+02, 1.18579155e+02],\n", - " [1.84510767e+03, 6.39763123e+02, 1.92204651e+03, 8.34862305e+02],\n", - " [1.38538428e+03, 5.72882593e-01, 1.44202014e+03, 1.81000534e+02],\n", - " [1.69943091e+03, 9.48621826e+01, 1.78822852e+03, 3.05321014e+02],\n", - " [9.86284363e+02, 1.15577782e+02, 1.04302637e+03, 2.57426544e+02],\n", - " [3.90970581e+02, 4.89935242e+02, 4.59693176e+02, 6.64967590e+02],\n", - " [6.04386940e+01, 8.13925232e+02, 1.58714218e+02, 9.87565247e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6020986 , 0.7595825 , 0.8179324 , 0.697662 , 0.8022044 ,\n", - " 0.70055664, 0.6548932 , 0.44009313, 0.3681957 , 0.4465897 ,\n", - " 0.5250599 , 0.6959586 , 0.51846665, 0.50795835, 0.47823447,\n", - " 0.35426182, 0.47099525, 0.6716826 , 0.47172788, 0.42445928,\n", - " 0.3556159 , 0.35815564, 0.3727963 , 0.76816726, 0.51231396,\n", - " 0.51567006, 0.38185138, 0.30642793, 0.3126571 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 21, 22, 24, 29, 31, 34, 35, 37, 33, 39, 15]), data={'frame_number': ['13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13', '13']}),\n", - " Detections(xyxy=array([[1.47971082e+03, 5.13423828e+02, 1.56479517e+03, 6.88252625e+02],\n", - " [1.46870349e+03, 3.55741364e+02, 1.54051587e+03, 5.19626160e+02],\n", - " [1.11143127e+03, 8.66130554e+02, 1.24719116e+03, 1.07170532e+03],\n", - " [2.45868530e+02, 4.80242279e+02, 3.20641479e+02, 6.56846985e+02],\n", - " [6.73151855e+02, 5.83014771e+02, 7.50218689e+02, 7.82056030e+02],\n", - " [7.49645691e+02, 4.07010437e+02, 8.15709167e+02, 5.72094360e+02],\n", - " [1.80097681e+03, 1.61178436e+02, 1.86341174e+03, 2.94000519e+02],\n", - " [1.20526990e+03, 1.01283867e+02, 1.25440906e+03, 2.31284119e+02],\n", - " [7.11403625e+02, 2.05904556e+02, 7.65074341e+02, 3.46149231e+02],\n", - " [2.40553879e+02, 2.36406994e+01, 3.00481689e+02, 1.36462448e+02],\n", - " [1.09044482e+03, 5.80936127e+01, 1.13713708e+03, 1.65536118e+02],\n", - " [1.38178772e+03, 7.12287842e+02, 1.47959790e+03, 8.85333801e+02],\n", - " [1.67993359e+03, 2.17394924e+01, 1.73625928e+03, 1.54700867e+02],\n", - " [5.68061523e+02, 2.97223389e+02, 6.31236023e+02, 4.33628235e+02],\n", - " [1.62245129e+03, 1.81621971e+01, 1.66221875e+03, 1.25499100e+02],\n", - " [1.17298096e+03, 1.32354797e+02, 1.21944470e+03, 2.50042374e+02],\n", - " [9.13108444e+01, 1.26266624e+02, 1.43459793e+02, 2.47273468e+02],\n", - " [9.23829224e+02, 1.93105164e+02, 9.80003967e+02, 3.30893280e+02],\n", - " [7.96893311e+02, 6.73532486e+01, 8.38891907e+02, 1.91875366e+02],\n", - " [8.50249268e+02, 5.92888374e+01, 8.90731750e+02, 1.91218765e+02],\n", - " [1.59186511e+03, 1.80612831e+01, 1.63331873e+03, 1.24770470e+02],\n", - " [3.80482574e+02, 5.80643082e+00, 4.24648376e+02, 1.15580849e+02],\n", - " [1.84276965e+03, 6.35153015e+02, 1.92069165e+03, 8.33146423e+02],\n", - " [1.38486389e+03, 3.23156901e-02, 1.44140491e+03, 1.80260315e+02],\n", - " [1.70003796e+03, 9.44978409e+01, 1.79052734e+03, 3.08978058e+02],\n", - " [9.86400757e+02, 1.16298134e+02, 1.04284998e+03, 2.56852448e+02],\n", - " [5.74796997e+02, 2.14991776e+02, 6.28130737e+02, 3.14849579e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.74829483, 0.80204993, 0.80376685, 0.68989635, 0.78663814,\n", - " 0.7210028 , 0.68936 , 0.43168023, 0.38241318, 0.38629094,\n", - " 0.4962868 , 0.71052706, 0.53086734, 0.5892946 , 0.4725955 ,\n", - " 0.33700228, 0.48457468, 0.67859435, 0.4926675 , 0.4300391 ,\n", - " 0.3873422 , 0.33710414, 0.74984515, 0.41009444, 0.64079475,\n", - " 0.32109275, 0.33806208], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 21, 22, 24, 31, 34, 35, 37, 33, 30]), data={'frame_number': ['14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14', '14']}),\n", - " Detections(xyxy=array([[ 1.48068042e+03, 5.15536438e+02, 1.56643408e+03,\n", - " 6.92736267e+02],\n", - " [ 1.47135059e+03, 3.59527618e+02, 1.54215198e+03,\n", - " 5.20241516e+02],\n", - " [ 1.10884680e+03, 8.61974670e+02, 1.24350720e+03,\n", - " 1.07167029e+03],\n", - " [ 2.45031952e+02, 4.81231018e+02, 3.20039185e+02,\n", - " 6.56972046e+02],\n", - " [ 6.73281982e+02, 5.77475281e+02, 7.49362122e+02,\n", - " 7.74843140e+02],\n", - " [ 7.50208984e+02, 4.02684021e+02, 8.15201111e+02,\n", - " 5.66662842e+02],\n", - " [ 1.80108264e+03, 1.64099213e+02, 1.86358069e+03,\n", - " 2.97151062e+02],\n", - " [ 1.20359668e+03, 9.64803238e+01, 1.25434766e+03,\n", - " 2.30921066e+02],\n", - " [ 7.10207825e+02, 1.99738785e+02, 7.63938538e+02,\n", - " 3.40356812e+02],\n", - " [ 2.43008575e+02, 2.21118679e+01, 3.01256592e+02,\n", - " 1.32248032e+02],\n", - " [ 1.08899854e+03, 5.90165825e+01, 1.13625037e+03,\n", - " 1.67621689e+02],\n", - " [ 1.37800818e+03, 7.10981079e+02, 1.47509607e+03,\n", - " 8.85019348e+02],\n", - " [ 1.67997571e+03, 2.28928280e+01, 1.73642053e+03,\n", - " 1.55299606e+02],\n", - " [ 5.67709778e+02, 2.99058167e+02, 6.30703125e+02,\n", - " 4.35256592e+02],\n", - " [ 1.62282129e+03, 1.87030754e+01, 1.66238696e+03,\n", - " 1.25090576e+02],\n", - " [ 1.17213794e+03, 1.30320755e+02, 1.21969971e+03,\n", - " 2.50609604e+02],\n", - " [ 9.07388306e+01, 1.25347733e+02, 1.42836365e+02,\n", - " 2.46950958e+02],\n", - " [ 9.23479187e+02, 1.95388351e+02, 9.79716797e+02,\n", - " 3.34107422e+02],\n", - " [ 7.97194275e+02, 6.49024734e+01, 8.39227966e+02,\n", - " 1.90422272e+02],\n", - " [ 8.49986877e+02, 5.87687111e+01, 8.90153687e+02,\n", - " 1.90291763e+02],\n", - " [ 1.59203040e+03, 1.79736214e+01, 1.63355896e+03,\n", - " 1.25001816e+02],\n", - " [ 3.79620972e+02, 4.32778597e+00, 4.24240448e+02,\n", - " 1.14570595e+02],\n", - " [ 1.84000916e+03, 6.32277954e+02, 1.91876196e+03,\n", - " 8.31981262e+02],\n", - " [ 1.38401990e+03, -1.45050764e-01, 1.44050122e+03,\n", - " 1.79996429e+02],\n", - " [ 1.69857251e+03, 9.43300552e+01, 1.79070996e+03,\n", - " 3.13015869e+02],\n", - " [ 1.70517505e+03, 1.83611832e+02, 1.76443420e+03,\n", - " 3.15009735e+02],\n", - " [ 3.41322235e+02, 4.91292389e+02, 3.98376495e+02,\n", - " 6.36653320e+02]], dtype=float32), mask=None, confidence=array([0.766446 , 0.84159553, 0.80717874, 0.7143651 , 0.7622952 ,\n", - " 0.6996334 , 0.6973609 , 0.508836 , 0.5535498 , 0.44232383,\n", - " 0.5096408 , 0.7263727 , 0.53764904, 0.54281026, 0.4725556 ,\n", - " 0.3339986 , 0.51279575, 0.62383056, 0.5088681 , 0.48592928,\n", - " 0.36938152, 0.34433836, 0.74183613, 0.48532683, 0.39961395,\n", - " 0.5265634 , 0.33773875], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 21, 22, 24, 31, 34, 35, 37, 23, 29]), data={'frame_number': ['15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15', '15']}),\n", - " Detections(xyxy=array([[1.48300488e+03, 5.16226868e+02, 1.56762378e+03, 6.91669617e+02],\n", - " [1.47394226e+03, 3.62827545e+02, 1.54302698e+03, 5.19005005e+02],\n", - " [1.10824744e+03, 8.57987427e+02, 1.24106885e+03, 1.07103674e+03],\n", - " [2.43466873e+02, 4.82794861e+02, 3.18460876e+02, 6.57524109e+02],\n", - " [6.72979980e+02, 5.72255737e+02, 7.48043640e+02, 7.67626343e+02],\n", - " [7.52345398e+02, 3.99180176e+02, 8.15116638e+02, 5.58735046e+02],\n", - " [1.80143652e+03, 1.66475067e+02, 1.86393396e+03, 3.00263153e+02],\n", - " [1.20303076e+03, 9.40995331e+01, 1.25361035e+03, 2.28222748e+02],\n", - " [7.09344299e+02, 1.96899612e+02, 7.62612793e+02, 3.36333954e+02],\n", - " [2.43787079e+02, 2.02556458e+01, 3.01418945e+02, 1.30086853e+02],\n", - " [1.08805823e+03, 5.99889107e+01, 1.13563562e+03, 1.69023102e+02],\n", - " [1.37566455e+03, 7.09808350e+02, 1.47193030e+03, 8.84912903e+02],\n", - " [1.67958838e+03, 2.32888107e+01, 1.73618042e+03, 1.55476746e+02],\n", - " [5.67493774e+02, 3.02324402e+02, 6.29924622e+02, 4.37110718e+02],\n", - " [1.62262720e+03, 1.89072323e+01, 1.66207605e+03, 1.24279984e+02],\n", - " [1.17140552e+03, 1.28948898e+02, 1.21951538e+03, 2.50233978e+02],\n", - " [8.99831619e+01, 1.25012932e+02, 1.41821030e+02, 2.46182678e+02],\n", - " [9.24333984e+02, 1.97532700e+02, 9.79949219e+02, 3.35271210e+02],\n", - " [7.96833008e+02, 6.20279846e+01, 8.39182922e+02, 1.89240311e+02],\n", - " [8.50218079e+02, 5.86111755e+01, 8.89626892e+02, 1.87969849e+02],\n", - " [1.59207898e+03, 1.79458885e+01, 1.63360303e+03, 1.25080185e+02],\n", - " [1.83685339e+03, 6.30047180e+02, 1.91620471e+03, 8.29679504e+02],\n", - " [1.38450159e+03, 4.83357042e-01, 1.44075000e+03, 1.79910583e+02],\n", - " [1.69869189e+03, 1.08192154e+02, 1.78656848e+03, 3.17139648e+02],\n", - " [1.70456396e+03, 1.85486832e+02, 1.76495776e+03, 3.18325500e+02],\n", - " [3.40825745e+02, 4.91705780e+02, 3.98235352e+02, 6.37596558e+02],\n", - " [5.73894043e+02, 2.17085281e+02, 6.28747314e+02, 3.19593781e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.73081285, 0.83260196, 0.80523777, 0.6421966 , 0.7961923 ,\n", - " 0.5671569 , 0.69437116, 0.52460635, 0.53654945, 0.43919152,\n", - " 0.5221428 , 0.7742598 , 0.5230784 , 0.48300028, 0.48325306,\n", - " 0.41974145, 0.49223462, 0.6195103 , 0.5459367 , 0.46859732,\n", - " 0.38399702, 0.7288937 , 0.45940107, 0.37086225, 0.49216515,\n", - " 0.35615706, 0.32922006], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 21, 22, 24, 34, 35, 37, 23, 29, 30]), data={'frame_number': ['16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16', '16']}),\n", - " Detections(xyxy=array([[1.48461951e+03, 5.17678894e+02, 1.56789246e+03, 6.90420044e+02],\n", - " [1.47575256e+03, 3.63251373e+02, 1.54504468e+03, 5.19092651e+02],\n", - " [1.10710864e+03, 8.54701904e+02, 1.23788501e+03, 1.07080908e+03],\n", - " [2.42875793e+02, 4.83922913e+02, 3.17259369e+02, 6.56264282e+02],\n", - " [6.73376465e+02, 5.66498413e+02, 7.46358887e+02, 7.57772583e+02],\n", - " [7.54277405e+02, 3.95996521e+02, 8.14674194e+02, 5.49841003e+02],\n", - " [1.80192761e+03, 1.67979645e+02, 1.86431702e+03, 3.02032806e+02],\n", - " [1.20302600e+03, 9.32891006e+01, 1.25311780e+03, 2.26630722e+02],\n", - " [7.08848083e+02, 1.94629868e+02, 7.61632629e+02, 3.32966095e+02],\n", - " [2.43864838e+02, 1.56094618e+01, 3.02165710e+02, 1.28027359e+02],\n", - " [1.08791858e+03, 6.29562531e+01, 1.13519177e+03, 1.70817017e+02],\n", - " [1.37311572e+03, 7.10017334e+02, 1.46734680e+03, 8.83555969e+02],\n", - " [1.67932788e+03, 2.34003468e+01, 1.73617175e+03, 1.56163788e+02],\n", - " [5.67238159e+02, 3.04138611e+02, 6.29147339e+02, 4.37721863e+02],\n", - " [1.62034351e+03, 1.89825420e+01, 1.66146521e+03, 1.26658127e+02],\n", - " [1.17172571e+03, 1.28488495e+02, 1.22013489e+03, 2.50167404e+02],\n", - " [8.97217407e+01, 1.24899460e+02, 1.41423172e+02, 2.45910019e+02],\n", - " [9.24961487e+02, 1.99619980e+02, 9.79747681e+02, 3.35641510e+02],\n", - " [7.96394653e+02, 6.09756584e+01, 8.38823242e+02, 1.89478027e+02],\n", - " [8.49682312e+02, 5.85917358e+01, 8.88745972e+02, 1.87110306e+02],\n", - " [1.59197424e+03, 1.79405403e+01, 1.63368787e+03, 1.25761436e+02],\n", - " [1.83477930e+03, 6.26053650e+02, 1.91486267e+03, 8.25608215e+02],\n", - " [1.38124524e+03, 1.40648329e+00, 1.43625464e+03, 1.79218765e+02],\n", - " [1.70103503e+03, 1.24484436e+02, 1.78337878e+03, 3.20609344e+02],\n", - " [1.70414563e+03, 1.83436752e+02, 1.76674255e+03, 3.21370422e+02],\n", - " [3.40438354e+02, 4.91857178e+02, 3.97741638e+02, 6.37265747e+02],\n", - " [5.73963501e+02, 2.18152252e+02, 6.28511169e+02, 3.19709290e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.69468176, 0.8345074 , 0.8227769 , 0.7250813 , 0.81958556,\n", - " 0.6205816 , 0.67434335, 0.5279275 , 0.36207145, 0.5348816 ,\n", - " 0.56678057, 0.85189354, 0.51869094, 0.45811552, 0.43037775,\n", - " 0.40435597, 0.4868595 , 0.57559276, 0.5121465 , 0.4465797 ,\n", - " 0.34240037, 0.8044373 , 0.49803257, 0.32696623, 0.5271479 ,\n", - " 0.41069454, 0.3245692 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 21, 22, 24, 34, 35, 37, 23, 29, 30]), data={'frame_number': ['17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17', '17']}),\n", - " Detections(xyxy=array([[1.4890038e+03, 5.2276080e+02, 1.5700769e+03, 6.8980511e+02],\n", - " [1.4768522e+03, 3.6597815e+02, 1.5485688e+03, 5.2705701e+02],\n", - " [1.1050536e+03, 8.4523151e+02, 1.2325360e+03, 1.0617075e+03],\n", - " [2.4113199e+02, 4.8622141e+02, 3.1439670e+02, 6.5565588e+02],\n", - " [6.7471027e+02, 5.5986890e+02, 7.4386615e+02, 7.4090863e+02],\n", - " [7.5473608e+02, 3.9024301e+02, 8.1345081e+02, 5.3926886e+02],\n", - " [1.8020016e+03, 1.7113422e+02, 1.8638607e+03, 3.0461273e+02],\n", - " [1.2030798e+03, 9.1745026e+01, 1.2528856e+03, 2.2479712e+02],\n", - " [7.0775092e+02, 1.9323831e+02, 7.6019672e+02, 3.3051480e+02],\n", - " [2.4755432e+02, 1.2616428e+01, 3.0524136e+02, 1.2534511e+02],\n", - " [1.0875724e+03, 6.4044395e+01, 1.1353319e+03, 1.7276253e+02],\n", - " [1.3653097e+03, 7.0941913e+02, 1.4587395e+03, 8.8305585e+02],\n", - " [1.6789629e+03, 2.3409607e+01, 1.7357485e+03, 1.5572340e+02],\n", - " [5.6727112e+02, 3.0539999e+02, 6.2873907e+02, 4.3786996e+02],\n", - " [1.6199003e+03, 1.9009190e+01, 1.6621388e+03, 1.2820305e+02],\n", - " [8.9016953e+01, 1.2553227e+02, 1.4056831e+02, 2.4582500e+02],\n", - " [9.2529492e+02, 2.0300934e+02, 9.8024524e+02, 3.3970242e+02],\n", - " [7.9567609e+02, 5.9959473e+01, 8.3793799e+02, 1.8893942e+02],\n", - " [8.4980548e+02, 5.8614990e+01, 8.8878040e+02, 1.8681375e+02],\n", - " [1.5915409e+03, 1.7942858e+01, 1.6334094e+03, 1.2666936e+02],\n", - " [1.8313590e+03, 6.1872833e+02, 1.9117690e+03, 8.1621881e+02],\n", - " [1.3810077e+03, 4.2014307e-01, 1.4363195e+03, 1.7964302e+02],\n", - " [1.7044867e+03, 1.8791339e+02, 1.7681914e+03, 3.2705557e+02],\n", - " [3.3976523e+02, 4.8926352e+02, 3.9810489e+02, 6.3647052e+02],\n", - " [1.7364462e+03, 9.6247650e+01, 1.7974032e+03, 2.0050366e+02],\n", - " [9.0982153e+02, 7.4744629e+01, 9.4864935e+02, 1.8772682e+02],\n", - " [6.9312805e+01, 8.1976465e+02, 1.6718987e+02, 9.8723151e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6950549 , 0.80665326, 0.80906665, 0.72317386, 0.82549936,\n", - " 0.7292315 , 0.67730665, 0.5158666 , 0.37696466, 0.5650953 ,\n", - " 0.61558694, 0.73479795, 0.52320457, 0.46677807, 0.4791845 ,\n", - " 0.5538597 , 0.6547561 , 0.58256537, 0.55593866, 0.35200772,\n", - " 0.8209913 , 0.44921708, 0.5975341 , 0.44626045, 0.42289144,\n", - " 0.35552445, 0.3584829 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 24, 34, 35, 23, 29, 27, 20, 15]), data={'frame_number': ['18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18', '18']}),\n", - " Detections(xyxy=array([[1.4921184e+03, 5.2589008e+02, 1.5719852e+03, 6.8876544e+02],\n", - " [1.4774613e+03, 3.7019867e+02, 1.5508900e+03, 5.3519391e+02],\n", - " [1.1040824e+03, 8.3850195e+02, 1.2268284e+03, 1.0516851e+03],\n", - " [2.3948666e+02, 4.8830219e+02, 3.1238251e+02, 6.5732141e+02],\n", - " [6.7627423e+02, 5.5493011e+02, 7.4390411e+02, 7.3145715e+02],\n", - " [7.5423816e+02, 3.8624252e+02, 8.1300909e+02, 5.3488129e+02],\n", - " [1.8020774e+03, 1.7293005e+02, 1.8635884e+03, 3.0617700e+02],\n", - " [1.2023805e+03, 9.0580894e+01, 1.2522003e+03, 2.2419536e+02],\n", - " [7.0451031e+02, 1.9150124e+02, 7.5784558e+02, 3.3107477e+02],\n", - " [2.5154518e+02, 1.0892288e+01, 3.0827124e+02, 1.2242373e+02],\n", - " [1.0883284e+03, 6.5730270e+01, 1.1358287e+03, 1.7344174e+02],\n", - " [1.3590231e+03, 7.0918817e+02, 1.4518457e+03, 8.8221967e+02],\n", - " [1.6790631e+03, 2.4043091e+01, 1.7340013e+03, 1.5154237e+02],\n", - " [5.6777942e+02, 3.0978564e+02, 6.2743872e+02, 4.3785178e+02],\n", - " [1.6218712e+03, 1.9675636e+01, 1.6635338e+03, 1.2747329e+02],\n", - " [8.8594345e+01, 1.2511705e+02, 1.4042146e+02, 2.4581020e+02],\n", - " [9.2541492e+02, 2.0554503e+02, 9.8109808e+02, 3.4380792e+02],\n", - " [7.9559271e+02, 5.9615166e+01, 8.3742767e+02, 1.8875983e+02],\n", - " [8.4948468e+02, 5.8651222e+01, 8.8852142e+02, 1.8672768e+02],\n", - " [1.5908461e+03, 1.8605364e+01, 1.6324789e+03, 1.2766088e+02],\n", - " [1.8299808e+03, 6.1413794e+02, 1.9101262e+03, 8.0814716e+02],\n", - " [1.3777598e+03, 7.2592193e-01, 1.4315719e+03, 1.7847929e+02],\n", - " [1.7055918e+03, 1.9084407e+02, 1.7690436e+03, 3.2848129e+02],\n", - " [3.3928308e+02, 4.8829819e+02, 3.9783060e+02, 6.3485052e+02],\n", - " [1.1463945e+03, 4.4560001e+02, 1.2148054e+03, 5.8040002e+02],\n", - " [1.7367145e+03, 9.7946541e+01, 1.7976505e+03, 2.0246552e+02],\n", - " [9.0926483e+02, 6.8377563e+01, 9.4939252e+02, 1.8622731e+02],\n", - " [7.0920868e+01, 8.2227783e+02, 1.7135263e+02, 9.8855652e+02],\n", - " [9.8691107e+02, 1.2291564e+02, 1.0441033e+03, 2.6477652e+02],\n", - " [3.8193875e+02, 3.5208588e+00, 4.2563721e+02, 1.0986938e+02],\n", - " [1.1706276e+03, 1.2047494e+02, 1.2185269e+03, 2.4080811e+02],\n", - " [5.7434955e+02, 2.2331310e+02, 6.2806415e+02, 3.2367087e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6931848 , 0.77244437, 0.7949796 , 0.67327684, 0.7862734 ,\n", - " 0.777331 , 0.6398593 , 0.4872512 , 0.6107496 , 0.60122365,\n", - " 0.6119969 , 0.7060862 , 0.4533603 , 0.49016127, 0.4311139 ,\n", - " 0.5971351 , 0.68651676, 0.53506595, 0.525618 , 0.31277412,\n", - " 0.78798294, 0.42232198, 0.6066795 , 0.46663353, 0.5105101 ,\n", - " 0.35901767, 0.32107872, 0.3044023 , 0.3000227 , 0.35484594,\n", - " 0.33502242, 0.31587487], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 24, 34, 35, 23, 29, 40, 27, 20, 15, 33, 31, 17, 30]), data={'frame_number': ['19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19', '19']}),\n", - " Detections(xyxy=array([[1.4933629e+03, 5.2759790e+02, 1.5731337e+03, 6.8895319e+02],\n", - " [1.4771700e+03, 3.7236703e+02, 1.5521686e+03, 5.4081946e+02],\n", - " [1.1043857e+03, 8.3286530e+02, 1.2227588e+03, 1.0426145e+03],\n", - " [2.3830154e+02, 4.9030789e+02, 3.1161606e+02, 6.6118262e+02],\n", - " [6.7551324e+02, 5.5130713e+02, 7.4321741e+02, 7.2693414e+02],\n", - " [7.5361914e+02, 3.8356519e+02, 8.1263159e+02, 5.3209998e+02],\n", - " [1.8020204e+03, 1.7420445e+02, 1.8635300e+03, 3.0801660e+02],\n", - " [1.2009242e+03, 8.8893219e+01, 1.2511624e+03, 2.2404829e+02],\n", - " [7.0142145e+02, 1.8962080e+02, 7.5559009e+02, 3.3072116e+02],\n", - " [2.5585986e+02, 9.6591520e+00, 3.1239459e+02, 1.2007962e+02],\n", - " [1.0885790e+03, 6.6321968e+01, 1.1360707e+03, 1.7363484e+02],\n", - " [1.3518044e+03, 7.0843158e+02, 1.4451167e+03, 8.8192212e+02],\n", - " [1.6794084e+03, 2.4918514e+01, 1.7330084e+03, 1.4857068e+02],\n", - " [5.6822711e+02, 3.1268384e+02, 6.2671088e+02, 4.3708954e+02],\n", - " [1.6220948e+03, 1.9928551e+01, 1.6645837e+03, 1.2984074e+02],\n", - " [8.8538429e+01, 1.2496857e+02, 1.4028384e+02, 2.4515637e+02],\n", - " [9.2554663e+02, 2.0710025e+02, 9.8133142e+02, 3.4529068e+02],\n", - " [7.9579553e+02, 5.9525738e+01, 8.3702081e+02, 1.8871605e+02],\n", - " [8.4877258e+02, 5.8689419e+01, 8.8771198e+02, 1.8605614e+02],\n", - " [1.5906650e+03, 1.8860817e+01, 1.6320068e+03, 1.2802461e+02],\n", - " [1.8297988e+03, 6.1126801e+02, 1.9079607e+03, 7.9592511e+02],\n", - " [1.3785223e+03, 8.5164654e-01, 1.4318625e+03, 1.7805023e+02],\n", - " [1.7059233e+03, 1.9183496e+02, 1.7700638e+03, 3.2957996e+02],\n", - " [3.3810074e+02, 4.8794742e+02, 3.9742386e+02, 6.3555719e+02],\n", - " [1.1447408e+03, 4.4436914e+02, 1.2124587e+03, 5.7778442e+02],\n", - " [1.7377898e+03, 9.9843666e+01, 1.7988083e+03, 2.0507521e+02],\n", - " [9.8638385e+02, 1.2472365e+02, 1.0433560e+03, 2.6535074e+02],\n", - " [3.8183878e+02, 2.8845875e+00, 4.2652527e+02, 1.0959387e+02],\n", - " [1.1690011e+03, 1.1679812e+02, 1.2174147e+03, 2.3890208e+02],\n", - " [5.7515515e+02, 2.2566129e+02, 6.2783362e+02, 3.2437610e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7389187 , 0.8048488 , 0.8034867 , 0.66758114, 0.8166512 ,\n", - " 0.76628876, 0.6500992 , 0.55103666, 0.57264507, 0.5632608 ,\n", - " 0.6635504 , 0.8112265 , 0.46880928, 0.5088076 , 0.4709368 ,\n", - " 0.58553576, 0.67892605, 0.4958813 , 0.5148748 , 0.33538115,\n", - " 0.8030796 , 0.4588527 , 0.64742243, 0.4965765 , 0.54064983,\n", - " 0.38837674, 0.44846532, 0.38476947, 0.39184517, 0.3808179 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 24, 34, 35, 23, 29, 40, 27, 33, 31, 17, 30]), data={'frame_number': ['20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20', '20']}),\n", - " Detections(xyxy=array([[1.49310242e+03, 5.29457642e+02, 1.57481897e+03, 6.94298523e+02],\n", - " [1.47882727e+03, 3.78320221e+02, 1.55337549e+03, 5.44810242e+02],\n", - " [1.10567676e+03, 8.26999634e+02, 1.21819495e+03, 1.03002734e+03],\n", - " [2.36387329e+02, 4.94933563e+02, 3.11552124e+02, 6.71138977e+02],\n", - " [6.74664185e+02, 5.47480591e+02, 7.43538269e+02, 7.25523193e+02],\n", - " [7.52912598e+02, 3.80705963e+02, 8.12320007e+02, 5.29909546e+02],\n", - " [1.80180872e+03, 1.75943527e+02, 1.86300403e+03, 3.09300842e+02],\n", - " [1.20060339e+03, 8.76657562e+01, 1.25121790e+03, 2.24062042e+02],\n", - " [7.02402222e+02, 1.88349136e+02, 7.55941833e+02, 3.28715607e+02],\n", - " [2.59744598e+02, 8.60789013e+00, 3.17458374e+02, 1.19956711e+02],\n", - " [1.08901074e+03, 6.64986572e+01, 1.13649280e+03, 1.73654053e+02],\n", - " [1.33735767e+03, 7.08808228e+02, 1.43211951e+03, 8.80501953e+02],\n", - " [1.67956555e+03, 2.38628044e+01, 1.73530090e+03, 1.52187332e+02],\n", - " [5.68179260e+02, 3.12303040e+02, 6.27347900e+02, 4.36748657e+02],\n", - " [1.62183850e+03, 1.93627033e+01, 1.66529492e+03, 1.32030106e+02],\n", - " [8.83282471e+01, 1.24921028e+02, 1.39779510e+02, 2.44260681e+02],\n", - " [9.25561584e+02, 2.07620819e+02, 9.81450012e+02, 3.45771698e+02],\n", - " [7.95961365e+02, 5.88704033e+01, 8.36798706e+02, 1.88721680e+02],\n", - " [8.48106262e+02, 5.87265968e+01, 8.87164978e+02, 1.85825943e+02],\n", - " [1.59001733e+03, 1.89581089e+01, 1.63106482e+03, 1.28146881e+02],\n", - " [1.82702197e+03, 6.09067566e+02, 1.90457959e+03, 7.88859680e+02],\n", - " [1.37777344e+03, 2.39073038e-01, 1.43042371e+03, 1.77237076e+02],\n", - " [1.70562341e+03, 1.90779861e+02, 1.77081873e+03, 3.29243378e+02],\n", - " [3.37175293e+02, 4.87172089e+02, 3.97113281e+02, 6.35827698e+02],\n", - " [1.14360730e+03, 4.40829956e+02, 1.21225012e+03, 5.76125244e+02],\n", - " [1.73878333e+03, 1.01150597e+02, 1.79924963e+03, 2.06000427e+02],\n", - " [9.86624817e+02, 1.27328575e+02, 1.04335303e+03, 2.67540924e+02],\n", - " [3.81846130e+02, 2.00357270e+00, 4.27452728e+02, 1.09496872e+02],\n", - " [1.16831555e+03, 1.14872765e+02, 1.21648193e+03, 2.36935913e+02],\n", - " [7.07621536e+01, 8.22421692e+02, 1.75467133e+02, 9.92288208e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7331395 , 0.78109014, 0.81124747, 0.75687206, 0.79684234,\n", - " 0.72692716, 0.6401992 , 0.5028747 , 0.51850235, 0.59827733,\n", - " 0.65540904, 0.76056105, 0.4638243 , 0.48258474, 0.43962893,\n", - " 0.56717914, 0.6937438 , 0.46209767, 0.5011611 , 0.32800403,\n", - " 0.749744 , 0.41801152, 0.64941 , 0.41975296, 0.5417016 ,\n", - " 0.39888144, 0.35408032, 0.34201837, 0.3493991 , 0.4456186 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 24, 34, 35, 23, 29, 40, 27, 33, 31, 17, 15]), data={'frame_number': ['21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21', '21']}),\n", - " Detections(xyxy=array([[1.49303503e+03, 5.33365417e+02, 1.57795959e+03, 7.05456116e+02],\n", - " [1.48029480e+03, 3.83791748e+02, 1.55484399e+03, 5.50144287e+02],\n", - " [1.10684900e+03, 8.21044617e+02, 1.21394263e+03, 1.01605725e+03],\n", - " [2.34913956e+02, 4.99864441e+02, 3.10382538e+02, 6.77418762e+02],\n", - " [6.73816162e+02, 5.43572937e+02, 7.44195862e+02, 7.25878235e+02],\n", - " [7.52618103e+02, 3.78439819e+02, 8.12256226e+02, 5.27926270e+02],\n", - " [1.80262744e+03, 1.77198059e+02, 1.86319580e+03, 3.09712219e+02],\n", - " [1.20044397e+03, 8.85858917e+01, 1.25064124e+03, 2.24133408e+02],\n", - " [7.01626648e+02, 1.85985809e+02, 7.54652710e+02, 3.24086365e+02],\n", - " [2.64084045e+02, 1.02619114e+01, 3.22216888e+02, 1.19982117e+02],\n", - " [1.09019922e+03, 6.65221558e+01, 1.13761414e+03, 1.73612930e+02],\n", - " [1.32804126e+03, 7.09615540e+02, 1.42547888e+03, 8.82646790e+02],\n", - " [1.67938904e+03, 2.41284809e+01, 1.73504126e+03, 1.52174561e+02],\n", - " [5.67172485e+02, 3.07412079e+02, 6.29249207e+02, 4.37255676e+02],\n", - " [1.62026685e+03, 1.91438866e+01, 1.66440479e+03, 1.32849991e+02],\n", - " [8.86175003e+01, 1.24911217e+02, 1.39906265e+02, 2.43939697e+02],\n", - " [9.25817993e+02, 2.06431198e+02, 9.81898560e+02, 3.44557617e+02],\n", - " [7.95910339e+02, 5.86552353e+01, 8.36188843e+02, 1.88084579e+02],\n", - " [8.47349915e+02, 5.74331322e+01, 8.86829407e+02, 1.85098160e+02],\n", - " [1.82422400e+03, 6.05046265e+02, 1.90119922e+03, 7.80416504e+02],\n", - " [1.37770166e+03, 1.55084450e-02, 1.42974695e+03, 1.76946411e+02],\n", - " [1.70674719e+03, 1.94268753e+02, 1.77114124e+03, 3.29041046e+02],\n", - " [3.36618988e+02, 4.86895081e+02, 3.96568542e+02, 6.35273865e+02],\n", - " [1.14295886e+03, 4.38277740e+02, 1.21183911e+03, 5.74187744e+02],\n", - " [9.86459473e+02, 1.30903122e+02, 1.04293628e+03, 2.70298462e+02],\n", - " [3.82450073e+02, 1.70651591e+00, 4.28470734e+02, 1.08833397e+02],\n", - " [1.16676489e+03, 1.13568039e+02, 1.21346118e+03, 2.33631058e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7350922 , 0.7821529 , 0.81582516, 0.807138 , 0.7672289 ,\n", - " 0.7012374 , 0.6449531 , 0.5140005 , 0.5258084 , 0.5487246 ,\n", - " 0.6612051 , 0.7315391 , 0.5071331 , 0.48398328, 0.40855813,\n", - " 0.54765344, 0.68141663, 0.52317446, 0.5437056 , 0.75548196,\n", - " 0.3769221 , 0.54635787, 0.41992775, 0.5316416 , 0.3283046 ,\n", - " 0.34922862, 0.3284958 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 34, 35, 23, 29, 40, 33, 31, 17]), data={'frame_number': ['22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22', '22']}),\n", - " Detections(xyxy=array([[ 1.49289856e+03, 5.38017883e+02, 1.58112195e+03,\n", - " 7.18052002e+02],\n", - " [ 1.48123608e+03, 3.86397278e+02, 1.55819006e+03,\n", - " 5.58612854e+02],\n", - " [ 1.10702966e+03, 8.11699890e+02, 1.21008337e+03,\n", - " 1.00093768e+03],\n", - " [ 2.33167801e+02, 5.04930725e+02, 3.09227722e+02,\n", - " 6.84953613e+02],\n", - " [ 6.72218079e+02, 5.37654907e+02, 7.44410034e+02,\n", - " 7.25543213e+02],\n", - " [ 7.53524963e+02, 3.75729187e+02, 8.13231323e+02,\n", - " 5.25350037e+02],\n", - " [ 1.80457361e+03, 1.77605988e+02, 1.86425476e+03,\n", - " 3.08470856e+02],\n", - " [ 1.19860632e+03, 8.63663635e+01, 1.24891614e+03,\n", - " 2.22904892e+02],\n", - " [ 7.01881104e+02, 1.79868408e+02, 7.55684265e+02,\n", - " 3.19785065e+02],\n", - " [ 2.68610504e+02, 9.63450813e+00, 3.26872864e+02,\n", - " 1.17415184e+02],\n", - " [ 1.09087695e+03, 6.78144836e+01, 1.13780554e+03,\n", - " 1.74215393e+02],\n", - " [ 1.32010437e+03, 7.10575134e+02, 1.41792896e+03,\n", - " 8.80815430e+02],\n", - " [ 1.67993713e+03, 2.48691730e+01, 1.73629517e+03,\n", - " 1.55467880e+02],\n", - " [ 5.67145508e+02, 3.05573212e+02, 6.31576660e+02,\n", - " 4.39385071e+02],\n", - " [ 1.62157251e+03, 2.03673077e+01, 1.66539905e+03,\n", - " 1.33144165e+02],\n", - " [ 8.82001801e+01, 1.24250931e+02, 1.39171478e+02,\n", - " 2.42509125e+02],\n", - " [ 9.26749512e+02, 2.06583511e+02, 9.82547913e+02,\n", - " 3.43371490e+02],\n", - " [ 7.95621094e+02, 5.86083946e+01, 8.34925842e+02,\n", - " 1.85881516e+02],\n", - " [ 8.46372986e+02, 5.43198471e+01, 8.86762634e+02,\n", - " 1.84183517e+02],\n", - " [ 1.81580603e+03, 5.99680603e+02, 1.89462903e+03,\n", - " 7.74858582e+02],\n", - " [ 1.37804431e+03, -6.08142503e-02, 1.42919458e+03,\n", - " 1.76188904e+02],\n", - " [ 1.70793689e+03, 1.95491608e+02, 1.77244922e+03,\n", - " 3.27534088e+02],\n", - " [ 3.35105896e+02, 4.85488678e+02, 3.95712463e+02,\n", - " 6.35724731e+02],\n", - " [ 1.14170471e+03, 4.34638824e+02, 1.21282886e+03,\n", - " 5.75061340e+02],\n", - " [ 3.84932983e+02, 2.29504776e+00, 4.29860504e+02,\n", - " 1.05302422e+02],\n", - " [ 1.16472803e+03, 1.09842537e+02, 1.21045288e+03,\n", - " 2.29810410e+02],\n", - " [ 7.42073135e+01, 8.21578186e+02, 1.82088593e+02,\n", - " 9.95583069e+02]], dtype=float32), mask=None, confidence=array([0.6682897 , 0.76038814, 0.7421888 , 0.77639186, 0.7589246 ,\n", - " 0.63146657, 0.63957274, 0.49119243, 0.57830715, 0.40548208,\n", - " 0.5982392 , 0.7503159 , 0.5057428 , 0.47057065, 0.45889413,\n", - " 0.5417229 , 0.6771311 , 0.5644842 , 0.5429336 , 0.7760249 ,\n", - " 0.38996866, 0.47320563, 0.38091594, 0.35362744, 0.3768961 ,\n", - " 0.33652937, 0.32954878], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 34, 35, 23, 29, 40, 31, 17, 15]), data={'frame_number': ['23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23', '23']}),\n", - " Detections(xyxy=array([[ 1.49389856e+03, 5.41659302e+02, 1.58312988e+03,\n", - " 7.24732849e+02],\n", - " [ 1.48273242e+03, 3.89240936e+02, 1.55952039e+03,\n", - " 5.61685181e+02],\n", - " [ 1.10532935e+03, 8.05136414e+02, 1.20787976e+03,\n", - " 9.94905151e+02],\n", - " [ 2.32414703e+02, 5.09368988e+02, 3.08298859e+02,\n", - " 6.89653015e+02],\n", - " [ 6.71399414e+02, 5.32950500e+02, 7.44710754e+02,\n", - " 7.24272949e+02],\n", - " [ 7.53446838e+02, 3.72847015e+02, 8.14700134e+02,\n", - " 5.27186829e+02],\n", - " [ 1.80602747e+03, 1.78358963e+02, 1.86523181e+03,\n", - " 3.07936859e+02],\n", - " [ 1.19771436e+03, 8.49262466e+01, 1.24783423e+03,\n", - " 2.21833069e+02],\n", - " [ 7.01625610e+02, 1.77679001e+02, 7.55140747e+02,\n", - " 3.16956696e+02],\n", - " [ 2.70625366e+02, 8.78815842e+00, 3.29363831e+02,\n", - " 1.15861557e+02],\n", - " [ 1.09142749e+03, 7.02532196e+01, 1.13757288e+03,\n", - " 1.75064575e+02],\n", - " [ 1.31632593e+03, 7.09599976e+02, 1.41569482e+03,\n", - " 8.80132324e+02],\n", - " [ 1.67871741e+03, 2.51310310e+01, 1.73555042e+03,\n", - " 1.57346786e+02],\n", - " [ 5.67412720e+02, 3.10051849e+02, 6.32195923e+02,\n", - " 4.43432159e+02],\n", - " [ 1.62119421e+03, 2.08350773e+01, 1.66532507e+03,\n", - " 1.33892075e+02],\n", - " [ 8.75439682e+01, 1.23345436e+02, 1.38747742e+02,\n", - " 2.41989441e+02],\n", - " [ 9.26767517e+02, 2.07251282e+02, 9.82455627e+02,\n", - " 3.42862305e+02],\n", - " [ 7.95514282e+02, 5.79610558e+01, 8.34465881e+02,\n", - " 1.85068359e+02],\n", - " [ 8.45674011e+02, 5.25116997e+01, 8.86437988e+02,\n", - " 1.83201218e+02],\n", - " [ 1.80906702e+03, 5.95855225e+02, 1.89001599e+03,\n", - " 7.71699707e+02],\n", - " [ 1.37773022e+03, -8.16913396e-02, 1.42816931e+03,\n", - " 1.75919800e+02],\n", - " [ 1.71021802e+03, 1.97866837e+02, 1.77439331e+03,\n", - " 3.26914612e+02],\n", - " [ 3.34128387e+02, 4.84318329e+02, 3.94511566e+02,\n", - " 6.34583313e+02],\n", - " [ 1.14164673e+03, 4.32769714e+02, 1.21284888e+03,\n", - " 5.73337158e+02],\n", - " [ 3.85916534e+02, 3.23454857e+00, 4.30264557e+02,\n", - " 1.03341934e+02],\n", - " [ 1.16511548e+03, 1.04553146e+02, 1.21152832e+03,\n", - " 2.27141296e+02],\n", - " [ 7.48811188e+01, 8.22036499e+02, 1.83206131e+02,\n", - " 9.96167114e+02]], dtype=float32), mask=None, confidence=array([0.7053909 , 0.76300824, 0.76983833, 0.7584357 , 0.7740713 ,\n", - " 0.65645754, 0.61742127, 0.4801366 , 0.54080856, 0.36990327,\n", - " 0.60209525, 0.763905 , 0.43950617, 0.47281364, 0.44418436,\n", - " 0.5410198 , 0.67653817, 0.5420449 , 0.55776805, 0.8283059 ,\n", - " 0.35530555, 0.46756348, 0.33217895, 0.3988319 , 0.39081523,\n", - " 0.39071319, 0.5720922 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 177.34042 ],\n", - " [1313.3965 , 709.8946 , 1413.4822 , 879.8934 ],\n", - " [1678.6805 , 27.181742 , 1735.479 , 160.00876 ],\n", - " [ 568.48004 , 316.36243 , 632.78326 , 446.92563 ],\n", - " [1621.3844 , 21.663967 , 1665.604 , 134.15501 ],\n", - " [ 87.28784 , 123.01555 , 138.61876 , 241.81456 ],\n", - " [ 926.43646 , 208.12054 , 982.7448 , 344.61722 ],\n", - " [ 795.188 , 57.08288 , 833.93994 , 184.1269 ],\n", - " [ 845.7633 , 52.51287 , 886.6482 , 182.85016 ],\n", - " [1801.887 , 591.2561 , 1886.5133 , 770.7499 ],\n", - " [1378.3473 , 1.9078014, 1427.7723 , 175.83522 ],\n", - " [ 333.9549 , 483.89456 , 393.8927 , 633.49036 ],\n", - " [1143.315 , 430.83853 , 1212.6038 , 567.26074 ],\n", - " [ 386.6014 , 2.9284556, 430.69052 , 100.65124 ],\n", - " [1163.2269 , 102.6462 , 1208.7474 , 225.55943 ],\n", - " [ 75.99604 , 823.51215 , 183.97523 , 996.3582 ],\n", - " [ 912.7328 , 44.224247 , 955.24835 , 171.5426 ],\n", - " [1590.1382 , 22.60581 , 1629.2285 , 127.24493 ]],\n", - " 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data={'frame_number': ['38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38', '38']}),\n", - " Detections(xyxy=array([[1.5214222e+03, 6.0968713e+02, 1.6102416e+03, 7.9705011e+02],\n", - " [1.5145652e+03, 4.4515646e+02, 1.5918192e+03, 6.0969702e+02],\n", - " [1.0920867e+03, 7.3231763e+02, 1.1853265e+03, 9.2099237e+02],\n", - " [2.2020596e+02, 5.6643073e+02, 3.0828397e+02, 7.5583514e+02],\n", - " [6.7641760e+02, 4.7620401e+02, 7.4552509e+02, 6.6215314e+02],\n", - " [7.5300360e+02, 3.3336575e+02, 8.1144989e+02, 4.8579999e+02],\n", - " [1.8254227e+03, 2.0723618e+02, 1.8927930e+03, 3.4075266e+02],\n", - " [7.0472699e+02, 1.4608195e+02, 7.5384344e+02, 2.7908502e+02],\n", - " [1.0943500e+03, 9.6680107e+01, 1.1420562e+03, 2.0662457e+02],\n", - " [1.2514895e+03, 7.2372314e+02, 1.3455509e+03, 9.0711493e+02],\n", - " [1.6857013e+03, 4.5467201e+01, 1.7458953e+03, 1.8029703e+02],\n", - " [1.6327628e+03, 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2.1353545e+02, 1.8074122e+03, 3.7844659e+02],\n", - " [ 1.1643552e+03, 8.1418182e+01, 1.2045131e+03, 2.0251370e+02],\n", - " [ 5.7530341e+02, 2.5826910e+02, 6.3222980e+02, 3.6589508e+02],\n", - " [ 1.1950464e+03, 6.2791759e+01, 1.2407085e+03, 1.9053751e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.77947474, 0.81638527, 0.75662124, 0.86882055, 0.7661546 ,\n", - " 0.5440873 , 0.65166366, 0.62045497, 0.5090973 , 0.7021545 ,\n", - " 0.462791 , 0.56824267, 0.6230388 , 0.64940935, 0.52208537,\n", - " 0.590682 , 0.7937052 , 0.43319052, 0.32584363, 0.48972932,\n", - " 0.41100225, 0.31975114, 0.5069499 , 0.54850227, 0.375885 ,\n", - " 0.4390049 , 0.3237338 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 18, 19, 21, 22, 34,\n", - " 35, 24, 14, 29, 10, 43, 23, 17, 30, 8]), data={'frame_number': ['41', '41', '41', '41', '41', '41', '41', '41', 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],\n", - " [ 847.51587 , 57.612156, 888.2184 , 184.7529 ],\n", - " [1761.1345 , 534.6178 , 1849.6227 , 721.63965 ],\n", - " [1379.3318 , 40.61714 , 1420.1619 , 176.82635 ],\n", - " [1600.8037 , 35.477898, 1643.6104 , 137.46431 ],\n", - " [ 571.93835 , 346.5068 , 643.1403 , 494.83713 ],\n", - " [ 335.82495 , 484.3363 , 394.92563 , 636.5626 ],\n", - " [ 320.96603 , 2.288038, 373.40518 , 94.924126],\n", - " [ -7.751736, 97.4892 , 39.89373 , 180.68108 ],\n", - " [1732.4092 , 220.9259 , 1807.1471 , 380.786 ],\n", - " [ 574.748 , 258.69513 , 632.0235 , 366.77197 ],\n", - " [1741.6693 , 138.8 , 1807.7307 , 251.2 ],\n", - " [ 104.7798 , 856.21967 , 215.78578 , 1048.8008 ]],\n", - " dtype=float32), mask=None, confidence=array([0.70883876, 0.81933075, 0.7739107 , 0.8245385 , 0.7500685 ,\n", - " 0.56635875, 0.5952806 , 0.5658439 , 0.4669504 , 0.7205405 ,\n", - " 0.4428386 , 0.55301774, 0.60962117, 0.6735072 , 0.5440474 ,\n", - " 0.603044 , 0.77620625, 0.4288085 , 0.39368924, 0.48650402,\n", - " 0.41523424, 0.379512 , 0.35460562, 0.5738048 , 0.4756592 ,\n", - " 0.42102298, 0.44978547], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 18, 19, 21, 22, 34,\n", - " 35, 24, 14, 29, 10, 43, 23, 30, 44, 15]), data={'frame_number': ['42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42', '42']}),\n", - " Detections(xyxy=array([[ 1.53483472e+03, 6.21751038e+02, 1.62015906e+03,\n", - " 7.99070923e+02],\n", - " [ 1.51995789e+03, 4.63371094e+02, 1.60225146e+03,\n", - " 6.38087280e+02],\n", - " [ 1.08292212e+03, 7.19719421e+02, 1.17827588e+03,\n", - " 9.21171204e+02],\n", - " [ 2.15033005e+02, 5.79672607e+02, 3.00127228e+02,\n", - " 7.60873718e+02],\n", - " [ 6.79458557e+02, 4.58011200e+02, 7.42257507e+02,\n", - " 6.28002197e+02],\n", - " [ 7.52044312e+02, 3.18247040e+02, 8.08890076e+02,\n", - " 4.66635834e+02],\n", - " [ 1.83121448e+03, 2.18417953e+02, 1.90088721e+03,\n", - " 3.58647186e+02],\n", - " [ 7.03296997e+02, 1.40505753e+02, 7.52585449e+02,\n", - " 2.74749176e+02],\n", - " [ 1.09533264e+03, 9.89467392e+01, 1.14297803e+03,\n", - " 2.08575531e+02],\n", - " [ 1.24255273e+03, 7.30546692e+02, 1.32849634e+03,\n", - " 9.06498352e+02],\n", - " [ 1.68567297e+03, 5.32791748e+01, 1.74649487e+03,\n", - " 1.91156326e+02],\n", - " [ 1.63862012e+03, 2.87964001e+01, 1.68272205e+03,\n", - " 1.43320190e+02],\n", - " [ 8.53214874e+01, 1.22987930e+02, 1.37574677e+02,\n", - " 2.41623550e+02],\n", - " [ 9.20807251e+02, 2.49043533e+02, 9.81384033e+02,\n", - " 3.95143524e+02],\n", - " [ 7.97639832e+02, 5.25558434e+01, 8.37065918e+02,\n", - " 1.79873825e+02],\n", - " [ 8.48533752e+02, 5.72922287e+01, 8.89411377e+02,\n", - " 1.84284012e+02],\n", - " [ 1.75906909e+03, 5.29782043e+02, 1.84711438e+03,\n", - " 7.17664429e+02],\n", - " [ 1.38000366e+03, 4.21752892e+01, 1.42046094e+03,\n", - " 1.76972290e+02],\n", - " [ 5.72318787e+02, 3.50072998e+02, 6.42130066e+02,\n", - " 4.96636963e+02],\n", - " [ 3.35985107e+02, 4.84825958e+02, 3.94997009e+02,\n", - " 6.36227844e+02],\n", - " [ 3.23604492e+02, 5.96184969e-01, 3.73895721e+02,\n", - " 9.05434952e+01],\n", - " [-1.22563581e+01, 7.74471664e+01, 4.54283333e+01,\n", - " 1.80303314e+02],\n", - " [ 1.73425964e+03, 2.26205566e+02, 1.80858203e+03,\n", - " 3.85610413e+02],\n", - " [ 5.75581726e+02, 2.61411865e+02, 6.32180969e+02,\n", - " 3.67673126e+02],\n", - " [ 1.73793494e+03, 1.42051971e+02, 1.80960681e+03,\n", - " 2.64207886e+02],\n", - " [ 1.06618034e+02, 8.59413391e+02, 2.15491638e+02,\n", - " 1.04843677e+03],\n", - " [ 9.86856018e+02, 1.62568588e+02, 1.04790454e+03,\n", - " 3.04314941e+02],\n", - " [ 1.16441907e+03, 8.04858932e+01, 1.20517322e+03,\n", - " 2.02118546e+02]], dtype=float32), mask=None, confidence=array([0.71564543, 0.7674833 , 0.76338893, 0.7495344 , 0.7417069 ,\n", - " 0.62709594, 0.52830625, 0.50972444, 0.5423796 , 0.76486707,\n", - " 0.49449015, 0.4148514 , 0.6252849 , 0.6665392 , 0.5438607 ,\n", - " 0.5385113 , 0.7763009 , 0.45518667, 0.391084 , 0.4080267 ,\n", - " 0.32340586, 0.4521741 , 0.60429674, 0.41658074, 0.41734046,\n", - " 0.3039411 , 0.4138793 , 0.36357805], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 18, 19, 21, 22, 34,\n", - " 35, 14, 29, 10, 43, 23, 30, 44, 15, 33, 17]), data={'frame_number': ['43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43', '43']}),\n", - " Detections(xyxy=array([[ 1.5404149e+03, 6.2523340e+02, 1.6241282e+03, 7.9686035e+02],\n", - " [ 1.5220673e+03, 4.6974429e+02, 1.6046912e+03, 6.4693878e+02],\n", - " [ 1.0812003e+03, 7.1444958e+02, 1.1767231e+03, 9.1984528e+02],\n", - " [ 2.1174979e+02, 5.8180029e+02, 2.9605118e+02, 7.6152838e+02],\n", - " [ 6.7946753e+02, 4.5395416e+02, 7.4242651e+02, 6.2355725e+02],\n", - " [ 7.5171478e+02, 3.1570453e+02, 8.0834979e+02, 4.6312344e+02],\n", - " [ 1.8324114e+03, 2.2149896e+02, 1.9028049e+03, 3.6309351e+02],\n", - " [ 7.0258997e+02, 1.3949623e+02, 7.5259644e+02, 2.7612311e+02],\n", - " [ 1.0964401e+03, 1.0012352e+02, 1.1430933e+03, 2.0802171e+02],\n", - " [ 1.2379796e+03, 7.3131964e+02, 1.3227770e+03, 9.0590045e+02],\n", - " [ 1.6855995e+03, 5.5579090e+01, 1.7460593e+03, 1.9241734e+02],\n", - " [ 1.6399868e+03, 3.0380695e+01, 1.6831155e+03, 1.4340646e+02],\n", - " [ 8.4867737e+01, 1.2299081e+02, 1.3737706e+02, 2.4186568e+02],\n", - " [ 9.2139935e+02, 2.5178169e+02, 9.8197375e+02, 3.9799887e+02],\n", - " [ 7.9785211e+02, 5.2849548e+01, 8.3716077e+02, 1.7988921e+02],\n", - " [ 8.4914020e+02, 5.7824993e+01, 8.9029065e+02, 1.8542915e+02],\n", - " [ 1.7587224e+03, 5.2609448e+02, 1.8458752e+03, 7.1362500e+02],\n", - " [ 1.3803163e+03, 4.3342922e+01, 1.4205123e+03, 1.7702246e+02],\n", - " [ 5.7447327e+02, 3.5728735e+02, 6.4104083e+02, 4.9720251e+02],\n", - " [ 3.3615405e+02, 4.8500449e+02, 3.9556985e+02, 6.3675977e+02],\n", - " [ 3.2623419e+02, -2.2823936e-03, 3.7553317e+02, 8.8993935e+01],\n", - " [-1.3446907e+01, 6.7604218e+01, 4.8248051e+01, 1.8014958e+02],\n", - " [ 1.7356124e+03, 2.3001283e+02, 1.8096654e+03, 3.8863724e+02],\n", - " [ 5.7539618e+02, 2.6304288e+02, 6.3272229e+02, 3.7056671e+02],\n", - " [ 1.7346505e+03, 1.4389197e+02, 1.8115203e+03, 2.7529465e+02],\n", - " [ 1.0839182e+02, 8.6251312e+02, 2.1483414e+02, 1.0475643e+03],\n", - " [ 1.0549423e+03, 1.0046000e+03, 1.1344578e+03, 1.0790000e+03],\n", - " [ 9.8646021e+02, 1.6620735e+02, 1.0485348e+03, 3.0938669e+02],\n", - " [ 1.1627727e+03, 8.0377518e+01, 1.2036406e+03, 2.0230835e+02],\n", - " [ 1.6074161e+03, 3.7743366e+01, 1.6497134e+03, 1.3970543e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.69969195, 0.808533 , 0.7662133 , 0.8026978 , 0.72995555,\n", - " 0.64974713, 0.5104001 , 0.5258909 , 0.5790687 , 0.7585491 ,\n", - " 0.47674522, 0.44827342, 0.64194167, 0.65107673, 0.5145183 ,\n", - " 0.47527733, 0.80611795, 0.46409327, 0.40004578, 0.4385485 ,\n", - " 0.39150852, 0.4607803 , 0.62108856, 0.41848734, 0.39426702,\n", - " 0.49269703, 0.5204852 , 0.3431406 , 0.44523355, 0.3290275 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 18, 19, 21, 22, 34,\n", - " 35, 14, 29, 10, 43, 23, 30, 44, 15, 45, 33, 17, 24]), data={'frame_number': ['44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44', '44']}),\n", - " Detections(xyxy=array([[ 1.54430530e+03, 6.29716309e+02, 1.62829089e+03,\n", - " 7.99247131e+02],\n", - " [ 1.52422449e+03, 4.76621002e+02, 1.60609094e+03,\n", - " 6.53434143e+02],\n", - " [ 1.07956897e+03, 7.10630127e+02, 1.17330896e+03,\n", - " 9.14244141e+02],\n", - " [ 2.09909180e+02, 5.85779480e+02, 2.91901001e+02,\n", - " 7.60310791e+02],\n", - " [ 6.78820923e+02, 4.50605774e+02, 7.41804321e+02,\n", - " 6.19438843e+02],\n", - " [ 7.50912720e+02, 3.14209381e+02, 8.07527100e+02,\n", - " 4.60604065e+02],\n", - " [ 1.83186597e+03, 2.23248840e+02, 1.90375476e+03,\n", - " 3.67961334e+02],\n", - " [ 7.02752258e+02, 1.37871170e+02, 7.52839050e+02,\n", - " 2.74754730e+02],\n", - " [ 1.09741333e+03, 1.02505333e+02, 1.14322888e+03,\n", - " 2.09092972e+02],\n", - " [ 1.23426685e+03, 7.30889404e+02, 1.31766431e+03,\n", - " 9.02306946e+02],\n", - " [ 1.68603357e+03, 5.83741188e+01, 1.74540027e+03,\n", - " 1.92153610e+02],\n", - " [ 1.64068091e+03, 3.22922058e+01, 1.68300903e+03,\n", - " 1.44062607e+02],\n", - " [ 8.46598053e+01, 1.22992462e+02, 1.37345642e+02,\n", - " 2.41957840e+02],\n", - " [ 9.22299805e+02, 2.54049591e+02, 9.82838196e+02,\n", - " 4.00291382e+02],\n", - " [ 7.98020325e+02, 5.29595642e+01, 8.37095215e+02,\n", - " 1.79239700e+02],\n", - " [ 8.49713562e+02, 5.80180359e+01, 8.90921753e+02,\n", - " 1.85197144e+02],\n", - " [ 1.75755273e+03, 5.22194336e+02, 1.84397363e+03,\n", - " 7.09565552e+02],\n", - " [ 1.38002551e+03, 4.30271263e+01, 1.42026501e+03,\n", - " 1.77037125e+02],\n", - " [ 5.76822083e+02, 3.59270721e+02, 6.41100342e+02,\n", - " 4.93923645e+02],\n", - " [ 3.36142670e+02, 4.85064758e+02, 3.95851929e+02,\n", - " 6.36956787e+02],\n", - " [ 3.30367828e+02, 1.14681685e+00, 3.78120392e+02,\n", - " 8.78143768e+01],\n", - " [-1.08047190e+01, 6.43633499e+01, 5.12661934e+01,\n", - " 1.79461304e+02],\n", - " [ 1.73656079e+03, 2.31942917e+02, 1.81017139e+03,\n", - " 3.89001495e+02],\n", - " [ 5.76253906e+02, 2.64257477e+02, 6.33292419e+02,\n", - " 3.70930084e+02],\n", - " [ 1.73564758e+03, 1.45865555e+02, 1.81151746e+03,\n", - " 2.75969391e+02],\n", - " [ 1.08799484e+02, 8.64250305e+02, 2.14037506e+02,\n", - " 1.04715344e+03],\n", - " [ 1.05421033e+03, 1.00109198e+03, 1.13793506e+03,\n", - " 1.07976257e+03],\n", - " [ 9.86791504e+02, 1.67424835e+02, 1.04960864e+03,\n", - " 3.12404572e+02],\n", - " [ 1.16283228e+03, 8.36847687e+01, 1.20311792e+03,\n", - " 2.03064026e+02],\n", - " [ 1.61017200e+03, 3.54518433e+01, 1.65372278e+03,\n", - " 1.42175842e+02],\n", - " [ 1.15654675e+03, 3.81118103e+02, 1.22262207e+03,\n", - " 5.07310211e+02]], dtype=float32), mask=None, confidence=array([0.75608295, 0.8085505 , 0.74878204, 0.7625905 , 0.70490754,\n", - " 0.64558244, 0.4535105 , 0.4677813 , 0.57145447, 0.6633799 ,\n", - " 0.47708282, 0.43364674, 0.62146866, 0.64981216, 0.486839 ,\n", - " 0.46486598, 0.82232714, 0.4749791 , 0.32468587, 0.43374383,\n", - " 0.43329826, 0.41315606, 0.54220337, 0.36877835, 0.3738671 ,\n", - " 0.4710007 , 0.5743851 , 0.3244309 , 0.38984096, 0.36959225,\n", - " 0.30043423], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 19, 21, 34, 35, 14, 29, 23,\n", - " 15, 45, 24, 8, 44, 30, 2, 16, 46, 18, 48, 33, 40]), data={'frame_number': ['66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66', '66']}),\n", - " Detections(xyxy=array([[ 1.5917742e+03, 7.3071399e+02, 1.6843774e+03, 9.1919708e+02],\n", - " [ 1.0602643e+03, 6.1237317e+02, 1.1461520e+03, 7.9808398e+02],\n", - " [ 1.7364417e+02, 6.8108972e+02, 2.6886026e+02, 8.8277405e+02],\n", - " [ 6.8982172e+02, 3.7455667e+02, 7.5151624e+02, 5.3709796e+02],\n", - " [ 7.4585083e+02, 2.5959259e+02, 8.0136877e+02, 4.0256030e+02],\n", - " [ 1.8579219e+03, 2.5575232e+02, 1.9241691e+03, 4.0212408e+02],\n", - " [ 7.0845428e+02, 9.0472794e+01, 7.5574823e+02, 2.2331447e+02],\n", - " [ 1.1036538e+03, 1.3246930e+02, 1.1524139e+03, 2.4608315e+02],\n", - " [ 1.1485258e+03, 7.6111237e+02, 1.2377200e+03, 9.3593707e+02],\n", - " [ 1.7013475e+03, 7.7756485e+01, 1.7704288e+03, 2.1966290e+02],\n", - " [ 9.1456226e+02, 2.9481894e+02, 9.8021088e+02, 4.4274020e+02],\n", - " [ 8.0067249e+02, 4.8917763e+01, 8.3745282e+02, 1.7498926e+02],\n", - " [ 1.7103823e+03, 4.4911945e+02, 1.7890381e+03, 6.2253394e+02],\n", - " [ 1.3793517e+03, 3.3917812e+01, 1.4228521e+03, 1.7088147e+02],\n", - " [ 5.7448511e+02, 3.9790521e+02, 6.4964111e+02, 5.5387860e+02],\n", - " [ 3.4013443e+02, 4.7682965e+02, 3.9789563e+02, 6.3397485e+02],\n", - " [ 1.7713401e+03, 2.7860297e+02, 1.8498585e+03, 4.4155106e+02],\n", - " [ 1.4882875e+02, 8.9279846e+02, 2.6391272e+02, 1.0753627e+03],\n", - " [ 1.0095700e+03, 8.6535632e+02, 1.1078556e+03, 1.0399574e+03],\n", - " [ 1.6383680e+03, 4.8906841e+01, 1.6797710e+03, 1.5639751e+02],\n", - " [ 1.1831975e+03, 1.8211206e+01, 1.2289668e+03, 1.5153078e+02],\n", - " [ 1.7496168e+03, 1.8441257e+02, 1.8170269e+03, 3.2043552e+02],\n", - " [ 5.7632220e+02, 3.0150943e+02, 6.3799756e+02, 4.1886206e+02],\n", - " [ 1.5689906e+03, 5.7023120e+02, 1.6572153e+03, 7.5477789e+02],\n", - " [ 1.6730244e+03, 3.8547821e+01, 1.7154226e+03, 1.5576665e+02],\n", - " [ 3.9894183e+02, 4.7975165e+02, 4.7271838e+02, 6.4966663e+02],\n", - " [ 6.4652222e+01, 5.9029213e+01, 1.4405611e+02, 2.3497502e+02],\n", - " [ 9.0337463e+02, 3.0541927e+01, 9.4205676e+02, 1.4869850e+02],\n", - " [ 9.9366168e+02, 2.0104243e+02, 1.0562948e+03, 3.4993140e+02],\n", - " [-1.1888201e-01, 5.4040002e+02, 2.1918882e+01, 6.5900000e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6783034 , 0.7271104 , 0.8731189 , 0.74787265, 0.5611575 ,\n", - " 0.4094606 , 0.4925949 , 0.56057936, 0.6350194 , 0.62729883,\n", - " 0.6381922 , 0.54220253, 0.8420702 , 0.55304354, 0.65946114,\n", - " 0.546545 , 0.5005884 , 0.69102097, 0.7924074 , 0.47974634,\n", - " 0.38283557, 0.6170732 , 0.6458417 , 0.6074309 , 0.3567518 ,\n", - " 0.3571769 , 0.64942664, 0.3511029 , 0.47194237, 0.38125288],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 19, 21, 34, 35, 14, 29, 23,\n", - " 15, 45, 24, 8, 44, 30, 2, 16, 46, 18, 48, 33, 50]), data={'frame_number': ['67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67', '67']}),\n", - " Detections(xyxy=array([[1.5980122e+03, 7.3504590e+02, 1.6885516e+03, 9.1714911e+02],\n", - " [1.0581960e+03, 6.0808582e+02, 1.1439447e+03, 7.9603662e+02],\n", - " [1.7210944e+02, 6.8709503e+02, 2.6525345e+02, 8.8338837e+02],\n", - " [6.9051068e+02, 3.6963623e+02, 7.5082599e+02, 5.2818701e+02],\n", - " [7.4532629e+02, 2.5574309e+02, 8.0004913e+02, 3.9591611e+02],\n", - " [1.8609657e+03, 2.5856216e+02, 1.9264467e+03, 4.0710651e+02],\n", - " [7.0861871e+02, 8.8794563e+01, 7.5611151e+02, 2.2175406e+02],\n", - " [1.1037308e+03, 1.3515646e+02, 1.1524703e+03, 2.4838828e+02],\n", - " [1.1435146e+03, 7.6561780e+02, 1.2331409e+03, 9.4311530e+02],\n", - " [1.7025862e+03, 8.0859604e+01, 1.7707256e+03, 2.2047064e+02],\n", - " [9.1435529e+02, 2.9763132e+02, 9.7978992e+02, 4.4437943e+02],\n", - " [8.0117004e+02, 4.8923462e+01, 8.3762024e+02, 1.7359346e+02],\n", - " [1.7060398e+03, 4.4530789e+02, 1.7852736e+03, 6.2109735e+02],\n", - " [1.3803105e+03, 3.5177368e+01, 1.4231406e+03, 1.7019885e+02],\n", - " [5.7619501e+02, 4.0456674e+02, 6.4844031e+02, 5.5436786e+02],\n", - " [3.4067535e+02, 4.7617166e+02, 3.9816071e+02, 6.3265527e+02],\n", - " [1.7722019e+03, 2.8282358e+02, 1.8514091e+03, 4.4681000e+02],\n", - " [1.5105673e+02, 8.9588879e+02, 2.6503516e+02, 1.0783232e+03],\n", - " [1.0070752e+03, 8.5856342e+02, 1.1050043e+03, 1.0390599e+03],\n", - " [1.6399415e+03, 4.8517223e+01, 1.6817235e+03, 1.5639867e+02],\n", - " [1.7495502e+03, 1.8551183e+02, 1.8216561e+03, 3.3262711e+02],\n", - " [5.7601062e+02, 3.0235965e+02, 6.3895148e+02, 4.2305832e+02],\n", - " [1.6748242e+03, 3.8904526e+01, 1.7162860e+03, 1.5477420e+02],\n", - " [3.9852176e+02, 4.7876437e+02, 4.7355551e+02, 6.4946893e+02],\n", - " [6.9412155e+01, 5.7551128e+01, 1.4699858e+02, 2.3422670e+02],\n", - " [9.0352118e+02, 3.1301605e+01, 9.4208466e+02, 1.4920863e+02],\n", - " [9.9419635e+02, 2.0087656e+02, 1.0566555e+03, 3.4976123e+02],\n", - " [1.7226766e-01, 5.2492200e+02, 2.4814381e+01, 6.5748254e+02],\n", - " [8.6521918e+02, 5.8059700e+01, 9.0726672e+02, 1.7286911e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6793573 , 0.69504017, 0.86071527, 0.7949296 , 0.5389331 ,\n", - " 0.45788977, 0.46404618, 0.56446826, 0.7055798 , 0.57236356,\n", - " 0.58353096, 0.49934447, 0.7311316 , 0.5678525 , 0.4330258 ,\n", - " 0.5201837 , 0.5787718 , 0.5818102 , 0.76854765, 0.4837183 ,\n", - " 0.5901728 , 0.55271655, 0.31109446, 0.31803685, 0.7045718 ,\n", - " 0.39020282, 0.40764448, 0.46222258, 0.32960087], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 19, 21, 34, 35, 14, 29, 23,\n", - " 15, 45, 24, 44, 30, 16, 46, 18, 48, 33, 50, 22]), data={'frame_number': ['68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68', '68']}),\n", - " Detections(xyxy=array([[ 1.60070715e+03, 7.41167664e+02, 1.69016858e+03,\n", - " 9.18199524e+02],\n", - " [ 1.05834656e+03, 6.03981079e+02, 1.14421155e+03,\n", - " 7.94086243e+02],\n", - " [ 1.71047180e+02, 6.92509949e+02, 2.61815552e+02,\n", - " 8.82721802e+02],\n", - " [ 6.90957703e+02, 3.65280304e+02, 7.51694702e+02,\n", - " 5.24408936e+02],\n", - " [ 7.44517456e+02, 2.52400269e+02, 7.98878479e+02,\n", - " 3.90881927e+02],\n", - " [ 1.86246179e+03, 2.58376465e+02, 1.92825635e+03,\n", - " 4.12268768e+02],\n", - " [ 7.09293762e+02, 8.55992126e+01, 7.56955505e+02,\n", - " 2.19261642e+02],\n", - " [ 1.10346875e+03, 1.37449402e+02, 1.15276306e+03,\n", - " 2.51859924e+02],\n", - " [ 1.13905908e+03, 7.68571167e+02, 1.22700122e+03,\n", - " 9.45085083e+02],\n", - " [ 1.70255615e+03, 8.26682816e+01, 1.77058801e+03,\n", - " 2.22027069e+02],\n", - " [ 9.13700989e+02, 2.99931549e+02, 9.80221802e+02,\n", - " 4.48878693e+02],\n", - " [ 8.01248169e+02, 4.82671814e+01, 8.37782227e+02,\n", - " 1.73077179e+02],\n", - " [ 1.70162329e+03, 4.42009094e+02, 1.78150342e+03,\n", - " 6.20005859e+02],\n", - " [ 1.38068384e+03, 3.56687660e+01, 1.42323181e+03,\n", - " 1.69953110e+02],\n", - " [ 5.76054077e+02, 4.05698212e+02, 6.47453918e+02,\n", - " 5.53725281e+02],\n", - " [ 3.41192200e+02, 4.75935608e+02, 3.97929504e+02,\n", - " 6.30175842e+02],\n", - " [ 1.77256238e+03, 2.84359253e+02, 1.85184485e+03,\n", - " 4.48052155e+02],\n", - " [ 1.53652695e+02, 8.99663513e+02, 2.64894684e+02,\n", - " 1.07873267e+03],\n", - " [ 1.00625183e+03, 8.52252563e+02, 1.10322827e+03,\n", - " 1.03814539e+03],\n", - " [ 1.64097046e+03, 4.83498383e+01, 1.68389636e+03,\n", - " 1.57031479e+02],\n", - " [ 1.75058032e+03, 1.87182983e+02, 1.82356677e+03,\n", - " 3.37053986e+02],\n", - " [ 5.77943848e+02, 3.03930908e+02, 6.39186951e+02,\n", - " 4.21368103e+02],\n", - " [ 7.24846954e+01, 5.64798622e+01, 1.48250427e+02,\n", - " 2.33947006e+02],\n", - " [ 9.03497986e+02, 3.15074806e+01, 9.42204834e+02,\n", - " 1.50032639e+02],\n", - " [ 9.95089661e+02, 2.02080032e+02, 1.05739941e+03,\n", - " 3.50971649e+02],\n", - " [-6.39259636e-01, 5.09992310e+02, 2.67552319e+01,\n", - " 6.57671265e+02],\n", - " [ 8.65202271e+02, 5.79482918e+01, 9.07252380e+02,\n", - " 1.72060898e+02]], dtype=float32), mask=None, confidence=array([0.61983705, 0.6971202 , 0.8491185 , 0.76358336, 0.5655996 ,\n", - " 0.5002104 , 0.4182909 , 0.5458671 , 0.7676382 , 0.60900676,\n", - " 0.5656126 , 0.47947013, 0.72055525, 0.5678094 , 0.48630664,\n", - " 0.50979584, 0.61453384, 0.717715 , 0.78208303, 0.45256758,\n", - " 0.6287081 , 0.5693797 , 0.72065914, 0.40821674, 0.4440058 ,\n", - " 0.3822296 , 0.34451312], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 19, 21, 34, 35, 14, 29, 23,\n", - " 15, 45, 24, 44, 30, 18, 48, 33, 50, 22]), data={'frame_number': ['69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69', '69']}),\n", - " Detections(xyxy=array([[1.6027188e+03, 7.4458093e+02, 1.6955555e+03, 9.2653009e+02],\n", - " [1.0580563e+03, 6.0060126e+02, 1.1434330e+03, 7.9085486e+02],\n", - " [1.6973595e+02, 6.9634912e+02, 2.5821848e+02, 8.8093066e+02],\n", - " [6.9095459e+02, 3.6181003e+02, 7.5215894e+02, 5.2118689e+02],\n", - " [7.4342645e+02, 2.5059274e+02, 7.9727783e+02, 3.8714005e+02],\n", - " [1.8635635e+03, 2.6086972e+02, 1.9283440e+03, 4.1677289e+02],\n", - " [7.0996631e+02, 8.3150162e+01, 7.5685284e+02, 2.1509933e+02],\n", - " [1.1038097e+03, 1.4090230e+02, 1.1524176e+03, 2.5377684e+02],\n", - " [1.1349452e+03, 7.7093323e+02, 1.2240247e+03, 9.5288000e+02],\n", - " [1.7044401e+03, 8.3305588e+01, 1.7718701e+03, 2.2189487e+02],\n", - " [9.1308844e+02, 3.0138199e+02, 9.8141901e+02, 4.5442795e+02],\n", - " [8.0162567e+02, 4.8027180e+01, 8.3814581e+02, 1.7223535e+02],\n", - " [1.6989253e+03, 4.3628351e+02, 1.7792701e+03, 6.1641980e+02],\n", - " [1.3807391e+03, 3.5194374e+01, 1.4233389e+03, 1.6987378e+02],\n", - " [5.7508600e+02, 4.0869000e+02, 6.4535327e+02, 5.5406195e+02],\n", - " [3.4117828e+02, 4.7586157e+02, 3.9736517e+02, 6.2858344e+02],\n", - " [1.7732828e+03, 2.8551758e+02, 1.8526091e+03, 4.4840347e+02],\n", - " [1.5534435e+02, 9.0303723e+02, 2.6398434e+02, 1.0781459e+03],\n", - " [1.0067199e+03, 8.4805798e+02, 1.1018671e+03, 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0.59855866, 0.63843775, 0.6712513 , 0.58197665,\n", - " 0.54411566, 0.62907803, 0.646667 , 0.43109143, 0.44316995,\n", - " 0.4268199 , 0.39948034], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 9, 11, 19, 21, 34, 35, 14, 29, 45, 44, 30, 51, 53, 55,\n", - " 33, 50, 48, 22, 57, 61, 56, 13, 54, 63]), data={'frame_number': ['131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131', '131']}),\n", - " Detections(xyxy=array([[ 1.05381201e+03, 3.83959381e+02, 1.12723279e+03,\n", - " 5.49108215e+02],\n", - " [ 6.83127991e+02, 1.89716858e+02, 7.36813416e+02,\n", - " 3.34378448e+02],\n", - " [ 7.16985352e+02, 1.21014053e+02, 7.70038513e+02,\n", - " 2.45168747e+02],\n", - " [ 7.05899963e+02, -2.59171665e-01, 7.43915649e+02,\n", - " 1.01137962e+02],\n", - " [ 1.13001782e+03, 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1.90266434e+02, 1.20461572e+03,\n", - " 2.73678894e+02]], dtype=float32), mask=None, confidence=array([0.64514226, 0.6565223 , 0.65451515, 0.42733675, 0.55823433,\n", - " 0.81576467, 0.5586635 , 0.7994274 , 0.5395661 , 0.5718237 ,\n", - " 0.51090103, 0.7042004 , 0.7794426 , 0.56163454, 0.6803817 ,\n", - " 0.79210305, 0.6207739 , 0.46950054, 0.8282412 , 0.6117976 ,\n", - " 0.5704565 , 0.58837473, 0.6524297 , 0.48036477, 0.35038668,\n", - " 0.47130772, 0.35095888, 0.3077768 , 0.47690666], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 9, 11, 19, 21, 34, 35, 14, 29, 45, 44, 30, 51, 53, 55,\n", - " 33, 50, 48, 22, 57, 61, 56, 13, 54, 63, 46, 40]), data={'frame_number': ['132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132', '132']}),\n", - " Detections(xyxy=array([[ 1.0543256e+03, 3.8162030e+02, 1.1285396e+03, 5.4870160e+02],\n", - " [ 6.8237158e+02, 1.8766696e+02, 7.3537152e+02, 3.3040408e+02],\n", - " [ 7.1685406e+02, 1.1706049e+02, 7.6953528e+02, 2.4305620e+02],\n", - " [ 7.0500922e+02, -3.4689707e-01, 7.4217975e+02, 9.8473457e+01],\n", - " [ 1.1304666e+03, 2.6101071e+02, 1.1844531e+03, 3.8861786e+02],\n", - " [ 9.0252051e+02, 4.6513235e+02, 9.7519684e+02, 6.3433014e+02],\n", - " [ 7.9936505e+02, 3.1373365e+01, 8.3871747e+02, 1.5752795e+02],\n", - " [ 1.5797898e+03, 2.6294772e+02, 1.6495068e+03, 4.1958115e+02],\n", - " [ 1.3805298e+03, 2.7154722e+01, 1.4178290e+03, 1.6228117e+02],\n", - " [ 5.3425763e+02, 5.8767279e+02, 6.1953595e+02, 7.4384790e+02],\n", - " [ 3.3336258e+02, 4.7400665e+02, 3.9313281e+02, 6.1757837e+02],\n", - " [ 1.0113837e+03, 5.6241650e+02, 1.0700375e+03, 7.3135254e+02],\n", - " [ 1.7721165e+03, 3.4528665e+02, 1.8547847e+03, 5.1736633e+02],\n", - " [ 5.3952441e+02, 4.4624139e+02, 6.0722333e+02, 5.8947974e+02],\n", - " [ 1.2151904e+03, 6.1450861e+02, 1.3023647e+03, 8.0186798e+02],\n", - " [ 6.9170923e+02, 6.9105933e+02, 7.7661890e+02, 8.9190649e+02],\n", - " [ 6.7366013e+01, 1.0686821e+02, 1.2326408e+02, 2.3186641e+02],\n", - " [ 9.5073199e+02, 3.4044452e+02, 1.0200713e+03, 5.0457126e+02],\n", - " [ 9.3585960e+01, 6.7851312e+02, 1.9621751e+02, 8.7463770e+02],\n", - " [ 9.1663788e+02, 1.1417602e+02, 9.6185797e+02, 2.5437959e+02],\n", - " [ 8.5744202e+02, 3.8500015e+01, 8.9779205e+02, 1.6172121e+02],\n", - " [ 3.0989038e+02, 3.5101418e+01, 3.6245380e+02, 1.3506038e+02],\n", - " [ 2.1271342e+02, 3.0609486e+00, 2.6992316e+02, 1.1713009e+02],\n", - " [ 4.4253442e+02, 4.9093384e+02, 5.0679291e+02, 6.2402527e+02],\n", - " [ 1.7136497e+03, 1.6502107e+02, 1.7865016e+03, 3.1525726e+02],\n", - " [ 1.8835024e+03, 2.6236929e+02, 1.9190811e+03, 3.8179730e+02],\n", - " [ 3.7885425e+02, 4.5901904e+02, 4.6431110e+02, 6.5031451e+02],\n", - " [ 1.1618511e+03, 1.8701045e+02, 1.2053197e+03, 2.7075348e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7379756 , 0.6179108 , 0.66505843, 0.38437885, 0.5522722 ,\n", - " 0.815214 , 0.6428133 , 0.76392245, 0.52717495, 0.57876056,\n", - " 0.49712995, 0.664199 , 0.71417797, 0.4888857 , 0.74341255,\n", - " 0.74860215, 0.6595961 , 0.6771778 , 0.7828405 , 0.5520168 ,\n", - " 0.60619444, 0.6666343 , 0.6481478 , 0.48698267, 0.41062278,\n", - " 0.39387625, 0.41477048, 0.4381099 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 9, 11, 19, 21, 34, 35, 14, 29, 45, 44, 30, 51, 53, 55,\n", - " 33, 50, 48, 22, 57, 61, 56, 13, 54, 46, 40]), data={'frame_number': ['133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133', '133']}),\n", - " Detections(xyxy=array([[ 1.05348413e+03, 3.77560516e+02, 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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33]), data={'frame_number': ['181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181', '181']}),\n", - " Detections(xyxy=array([[1.05670129e+03, 2.49902527e+02, 1.11899817e+03, 3.93010345e+02],\n", - " [6.79594727e+02, 8.35521469e+01, 7.29852295e+02, 2.16191681e+02],\n", - " [7.19773254e+02, 2.75439796e+01, 7.65864746e+02, 1.47603882e+02],\n", - " [1.16843604e+03, 3.89253906e+02, 1.22886096e+03, 5.27564026e+02],\n", - " [9.22956787e+02, 6.14692993e+02, 1.00834039e+03, 7.99930786e+02],\n", - " [8.19603271e+02, 1.85437441e+00, 8.60560425e+02, 1.19979797e+02],\n", - " [1.54726709e+03, 1.58392532e+02, 1.60709448e+03, 2.99106354e+02],\n", - " [5.31041443e+02, 7.56416199e+02, 6.23156921e+02, 9.32819336e+02],\n", - " [3.34924530e+02, 4.58988861e+02, 3.90744476e+02, 6.06693054e+02],\n", - " [1.03185779e+03, 3.94971130e+02, 1.08263452e+03, 5.45979858e+02],\n", - " [1.82154968e+03, 5.04102631e+02, 1.91467407e+03, 6.84759949e+02],\n", - " [5.09960175e+02, 5.82412903e+02, 5.83190369e+02, 7.37445007e+02],\n", - " [1.24949463e+03, 4.04910736e+02, 1.32330518e+03, 5.77268616e+02],\n", - " [6.92082581e+02, 4.97918823e+02, 7.73795898e+02, 6.88370117e+02],\n", - " [6.79114075e+01, 1.10148682e+02, 1.16349571e+02, 2.35850113e+02],\n", - " [9.00739929e+02, 1.98892105e+02, 9.56696594e+02, 3.46666626e+02],\n", - " [8.65491089e+02, 2.68563539e-01, 9.01964722e+02, 1.16487411e+02],\n", - " [4.77119720e+02, 1.95243053e+01, 5.24605103e+02, 1.19966431e+02],\n", - " [2.01139069e+02, 3.81384125e+01, 2.66840729e+02, 1.67500168e+02],\n", - " [1.16823523e+03, 1.02059402e+02, 1.22017212e+03, 2.11412338e+02],\n", - " [1.82794495e+03, 1.35641083e+02, 1.87854553e+03, 2.65548340e+02],\n", - " [1.38192615e+03, 2.30467110e+01, 1.41997058e+03, 1.55105606e+02],\n", - " [1.18430281e+01, 6.16952698e+02, 7.47547836e+01, 7.82651794e+02],\n", - " [1.77932825e+03, 1.36828537e+02, 1.83380151e+03, 2.58015747e+02],\n", - " [2.03198654e+02, 8.89641846e+02, 3.03504730e+02, 1.07985071e+03],\n", - " [9.40706970e+02, 4.76618591e+02, 1.02024945e+03, 6.40556335e+02],\n", - " [1.74474255e+03, 2.58504089e+02, 1.82131396e+03, 4.15658203e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.633211 , 0.71546614, 0.52536976, 0.82216346, 0.77716553,\n", - " 0.5875535 , 0.72917885, 0.72821194, 0.47004893, 0.6017798 ,\n", - " 0.8244257 , 0.6696695 , 0.7335782 , 0.5209971 , 0.68023264,\n", - " 0.7046366 , 0.4362513 , 0.41771424, 0.4731632 , 0.60548234,\n", - " 0.63394153, 0.5260378 , 0.4417104 , 0.56646687, 0.52165204,\n", - " 0.61263824, 0.3199389 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 13]), data={'frame_number': ['182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182', '182']}),\n", - " Detections(xyxy=array([[1.05629163e+03, 2.45837692e+02, 1.11938391e+03, 3.91205933e+02],\n", - " [6.79387695e+02, 8.05635605e+01, 7.30459412e+02, 2.15235199e+02],\n", - " [7.19964478e+02, 2.33175621e+01, 7.66092163e+02, 1.45248520e+02],\n", - " [1.17034607e+03, 3.92736542e+02, 1.22928369e+03, 5.27665405e+02],\n", - " [9.23001526e+02, 6.25744751e+02, 1.00912463e+03, 8.11191589e+02],\n", - " [8.19938354e+02, 1.12617874e+00, 8.61504211e+02, 1.20352303e+02],\n", - " [1.54665295e+03, 1.56137711e+02, 1.60721643e+03, 2.98855988e+02],\n", - " [5.32039429e+02, 7.60800415e+02, 6.22452271e+02, 9.32138428e+02],\n", - " [3.35209351e+02, 4.58908661e+02, 3.91202667e+02, 6.07401367e+02],\n", - " [1.03241040e+03, 3.90025787e+02, 1.08167090e+03, 5.36650024e+02],\n", - " [1.81997449e+03, 5.10459686e+02, 1.91673120e+03, 6.98519043e+02],\n", - " [5.06855865e+02, 5.87134583e+02, 5.83207397e+02, 7.48076782e+02],\n", - " [1.25094385e+03, 3.99831909e+02, 1.32222034e+03, 5.65453247e+02],\n", - " [6.92649597e+02, 4.92997284e+02, 7.74092957e+02, 6.84681519e+02],\n", - " [6.71381454e+01, 1.10769165e+02, 1.16124657e+02, 2.36795731e+02],\n", - " [9.01220276e+02, 2.03588623e+02, 9.57513672e+02, 3.51757568e+02],\n", - " [8.66295593e+02, 5.53742707e-01, 9.02194946e+02, 1.13762032e+02],\n", - " [4.80814423e+02, 1.98277168e+01, 5.28099121e+02, 1.17983345e+02],\n", - " [2.00707474e+02, 3.89384384e+01, 2.65760468e+02, 1.67590012e+02],\n", - " [1.17036218e+03, 9.81430969e+01, 1.22331384e+03, 2.10452057e+02],\n", - " [1.83038806e+03, 1.38846451e+02, 1.88103772e+03, 2.67023651e+02],\n", - " [1.38194580e+03, 2.30413952e+01, 1.41996326e+03, 1.55016388e+02],\n", - " [1.22454281e+01, 6.19692627e+02, 7.62420349e+01, 7.81371399e+02],\n", - " [1.78030823e+03, 1.38596329e+02, 1.83416479e+03, 2.59773590e+02],\n", - " [2.05541580e+02, 8.95511047e+02, 3.04872437e+02, 1.08134082e+03],\n", - " [9.40152466e+02, 4.79397675e+02, 1.02474207e+03, 6.54487427e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.57933265, 0.6955369 , 0.40635633, 0.8088628 , 0.8057507 ,\n", - " 0.5804381 , 0.7233689 , 0.7380561 , 0.4308563 , 0.62299883,\n", - " 0.84053224, 0.62055606, 0.74804556, 0.54643524, 0.6867135 ,\n", - " 0.67760956, 0.41120023, 0.5103914 , 0.4938535 , 0.6247815 ,\n", - " 0.6701462 , 0.49813426, 0.3093109 , 0.5633311 , 0.449248 ,\n", - " 0.62955946], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33]), data={'frame_number': ['183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183', '183']}),\n", - " Detections(xyxy=array([[1.0559187e+03, 2.4242169e+02, 1.1197703e+03, 3.9064819e+02],\n", - " [6.7975134e+02, 7.8850937e+01, 7.3156128e+02, 2.1495879e+02],\n", - " [7.2021130e+02, 2.1131968e+01, 7.6598535e+02, 1.4376897e+02],\n", - " [1.1714755e+03, 3.9458789e+02, 1.2296307e+03, 5.2689282e+02],\n", - " [9.2207538e+02, 6.3119135e+02, 1.0096709e+03, 8.1864246e+02],\n", - " [8.1999646e+02, 8.7091148e-01, 8.6191632e+02, 1.2052096e+02],\n", - " [1.5456836e+03, 1.5470044e+02, 1.6067089e+03, 2.9884979e+02],\n", - " [5.3101190e+02, 7.6360083e+02, 6.2218848e+02, 9.3508221e+02],\n", - " [3.3535556e+02, 4.5888782e+02, 3.9135043e+02, 6.0768427e+02],\n", - " [1.0327410e+03, 3.8627396e+02, 1.0811947e+03, 5.2984351e+02],\n", - " [1.8195038e+03, 5.1473059e+02, 1.9172653e+03, 7.0497607e+02],\n", - " [5.0558191e+02, 5.9208948e+02, 5.8268591e+02, 7.5398749e+02],\n", - " [1.2514508e+03, 3.9338226e+02, 1.3211469e+03, 5.5508008e+02],\n", - " [6.9328589e+02, 4.9057242e+02, 7.7319080e+02, 6.8073950e+02],\n", - " [6.5883583e+01, 1.1099826e+02, 1.1570347e+02, 2.3779176e+02],\n", - " [9.0147260e+02, 2.0595349e+02, 9.5779205e+02, 3.5424664e+02],\n", - " [8.6812103e+02, 3.3783798e+00, 9.0344635e+02, 1.1413639e+02],\n", - " [4.8340628e+02, 1.9943563e+01, 5.3191003e+02, 1.1790608e+02],\n", - " [2.0049702e+02, 3.9874947e+01, 2.6476157e+02, 1.6757643e+02],\n", - " [1.1721666e+03, 9.6083992e+01, 1.2247500e+03, 2.0817992e+02],\n", - " [1.8307710e+03, 1.3937267e+02, 1.8824651e+03, 2.6884366e+02],\n", - " [1.3819562e+03, 2.3036587e+01, 1.4199635e+03, 1.5498502e+02],\n", - " [1.3082089e+01, 6.2396533e+02, 7.7994614e+01, 7.8074628e+02],\n", - " [1.7812369e+03, 1.3988899e+02, 1.8349760e+03, 2.6170840e+02],\n", - " [2.0797246e+02, 9.0285388e+02, 3.0429584e+02, 1.0803695e+03],\n", - " [9.4046228e+02, 4.8101950e+02, 1.0265198e+03, 6.6093829e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5029325 , 0.7023273 , 0.44943607, 0.7813077 , 0.7939558 ,\n", - " 0.5538399 , 0.7184761 , 0.7587008 , 0.48372975, 0.65612614,\n", - " 0.7914219 , 0.63461363, 0.7298549 , 0.5503723 , 0.6740518 ,\n", - " 0.6908357 , 0.39043432, 0.5508899 , 0.47144982, 0.62967765,\n", - " 0.674862 , 0.49033332, 0.39681664, 0.6063777 , 0.3122506 ,\n", - " 0.6180478 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33]), data={'frame_number': ['184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184', '184']}),\n", - " Detections(xyxy=array([[1.05638599e+03, 2.40567276e+02, 1.11998657e+03, 3.89890381e+02],\n", - " [6.80746887e+02, 7.76186066e+01, 7.33750732e+02, 2.15598450e+02],\n", - " [7.19307739e+02, 1.90587997e+01, 7.64947876e+02, 1.43280197e+02],\n", - " [1.17112952e+03, 3.97160248e+02, 1.22912463e+03, 5.27823914e+02],\n", - " [9.21271667e+02, 6.34434937e+02, 1.00898798e+03, 8.21306152e+02],\n", - " [8.20055054e+02, 1.45479465e+00, 8.62023682e+02, 1.20613831e+02],\n", - " [1.54404993e+03, 1.53572693e+02, 1.60517578e+03, 2.98272095e+02],\n", - " [5.27727966e+02, 7.65163818e+02, 6.22300415e+02, 9.42720764e+02],\n", - " [3.35056091e+02, 4.58228699e+02, 3.91111053e+02, 6.07803589e+02],\n", - " [1.03319641e+03, 3.84335297e+02, 1.08069556e+03, 5.24100830e+02],\n", - " [1.81966345e+03, 5.20153137e+02, 1.91764062e+03, 7.11215698e+02],\n", - " [5.04536987e+02, 5.96493347e+02, 5.82434326e+02, 7.59384399e+02],\n", - " [1.25156409e+03, 3.87799561e+02, 1.32080151e+03, 5.48745911e+02],\n", - " [6.95098816e+02, 4.87142853e+02, 7.71987122e+02, 6.72088074e+02],\n", - " [6.46836319e+01, 1.10420166e+02, 1.15631729e+02, 2.38804520e+02],\n", - " [9.01875671e+02, 2.07424698e+02, 9.58279785e+02, 3.55739807e+02],\n", - " [8.68730591e+02, 4.43718672e+00, 9.03962341e+02, 1.14330704e+02],\n", - " [4.86031342e+02, 1.99862175e+01, 5.36063416e+02, 1.18550461e+02],\n", - " [2.00512985e+02, 4.02017593e+01, 2.64977325e+02, 1.68850830e+02],\n", - " [1.17303467e+03, 9.60402527e+01, 1.22507214e+03, 2.07394684e+02],\n", - " [1.83222058e+03, 1.39531082e+02, 1.88490698e+03, 2.70134338e+02],\n", - " [1.38188123e+03, 2.23708687e+01, 1.42004797e+03, 1.54975479e+02],\n", - " [1.37544794e+01, 6.25462341e+02, 8.21932983e+01, 7.83741455e+02],\n", - " [1.78190723e+03, 1.40996689e+02, 1.83488562e+03, 2.61731689e+02],\n", - " [2.08431305e+02, 9.09402222e+02, 3.01583618e+02, 1.07913513e+03],\n", - " [9.40045776e+02, 4.83455811e+02, 1.02508838e+03, 6.62004089e+02],\n", - " [3.80792999e+02, 4.84866943e+02, 4.61522736e+02, 6.41006592e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.42563915, 0.72725105, 0.464135 , 0.6853647 , 0.7605534 ,\n", - " 0.5452077 , 0.7518393 , 0.74135375, 0.51869154, 0.67726713,\n", - " 0.80544174, 0.66752535, 0.7286743 , 0.6031136 , 0.670451 ,\n", - " 0.6913604 , 0.3857973 , 0.5346965 , 0.49720743, 0.58992124,\n", - " 0.6455829 , 0.4483686 , 0.65538526, 0.56253606, 0.49627715,\n", - " 0.59320843, 0.3234321 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 46]), data={'frame_number': ['185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185', '185']}),\n", - " Detections(xyxy=array([[1.05726196e+03, 2.39308868e+02, 1.12005054e+03, 3.88398468e+02],\n", - " [6.80224060e+02, 7.65646591e+01, 7.34153687e+02, 2.15912521e+02],\n", - " [7.18777771e+02, 1.76858463e+01, 7.64072449e+02, 1.42502884e+02],\n", - " [1.17021753e+03, 4.00672943e+02, 1.22899121e+03, 5.31407288e+02],\n", - " [9.20179199e+02, 6.37485413e+02, 1.00750360e+03, 8.22777344e+02],\n", - " [8.19827698e+02, 1.69432449e+00, 8.61638489e+02, 1.20012794e+02],\n", - " [1.54357581e+03, 1.52560776e+02, 1.60447998e+03, 2.97469879e+02],\n", - " [5.25536682e+02, 7.69577454e+02, 6.21986755e+02, 9.51365723e+02],\n", - " [3.35220490e+02, 4.58647430e+02, 3.90751404e+02, 6.07198669e+02],\n", - " [1.03395935e+03, 3.81071411e+02, 1.08059729e+03, 5.17423035e+02],\n", - " [1.81915417e+03, 5.24049316e+02, 1.91823975e+03, 7.18010620e+02],\n", - " [5.03029327e+02, 6.00012451e+02, 5.82186584e+02, 7.65218750e+02],\n", - " [1.25135596e+03, 3.84551483e+02, 1.31957361e+03, 5.42583679e+02],\n", - " [6.93050171e+02, 4.83320923e+02, 7.69658203e+02, 6.69592957e+02],\n", - " [6.36743431e+01, 1.11503548e+02, 1.14871986e+02, 2.39166565e+02],\n", - " [9.02239868e+02, 2.09213684e+02, 9.58280212e+02, 3.56198303e+02],\n", - " [8.67467041e+02, 2.14733529e+00, 9.03609375e+02, 1.13773949e+02],\n", - " [4.86889038e+02, 2.00016003e+01, 5.38155518e+02, 1.19460869e+02],\n", - " [2.00654236e+02, 4.22748375e+01, 2.64289703e+02, 1.69296097e+02],\n", - " [1.17336487e+03, 9.47747498e+01, 1.22579773e+03, 2.07840256e+02],\n", - " [1.83444812e+03, 1.40861710e+02, 1.88670190e+03, 2.69256195e+02],\n", - " [1.38186267e+03, 2.21187782e+01, 1.42007471e+03, 1.54973938e+02],\n", - " [1.42296076e+01, 6.28591858e+02, 8.54089203e+01, 7.86754517e+02],\n", - " [1.78247705e+03, 1.42695007e+02, 1.83510986e+03, 2.63003845e+02],\n", - " [2.09768814e+02, 9.14266663e+02, 3.01294220e+02, 1.07922375e+03],\n", - " [9.41396545e+02, 4.84912964e+02, 1.02619324e+03, 6.63511902e+02],\n", - " [3.79554474e+02, 4.84309296e+02, 4.60310150e+02, 6.41003845e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.47331974, 0.74122417, 0.51216114, 0.65336657, 0.76790875,\n", - " 0.55478203, 0.74512386, 0.7713631 , 0.46680728, 0.67359334,\n", - " 0.7575297 , 0.7085015 , 0.74220526, 0.6873558 , 0.6448761 ,\n", - " 0.738901 , 0.43769923, 0.64335924, 0.5113003 , 0.5518722 ,\n", - " 0.6449428 , 0.48813912, 0.6132853 , 0.6383973 , 0.69409424,\n", - " 0.5552746 , 0.31166178], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 46]), data={'frame_number': ['186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186', '186']}),\n", - " Detections(xyxy=array([[1.0575916e+03, 2.3761371e+02, 1.1207534e+03, 3.8926013e+02],\n", - " [6.7917493e+02, 7.5576744e+01, 7.3316504e+02, 2.1478343e+02],\n", - " [7.1872223e+02, 1.6580814e+01, 7.6358435e+02, 1.4161537e+02],\n", - " [1.1693007e+03, 4.0453207e+02, 1.2301373e+03, 5.3862988e+02],\n", - " [9.1923798e+02, 6.3914642e+02, 1.0061216e+03, 8.2314374e+02],\n", - " [8.2017853e+02, 2.4620109e+00, 8.6170941e+02, 1.1980964e+02],\n", - " [1.5429783e+03, 1.5158865e+02, 1.6040156e+03, 2.9789493e+02],\n", - " [5.2290729e+02, 7.7375031e+02, 6.2233398e+02, 9.6173737e+02],\n", - " [3.3493530e+02, 4.5815497e+02, 3.9031082e+02, 6.0697845e+02],\n", - " [1.0340615e+03, 3.7730704e+02, 1.0807500e+03, 5.1377057e+02],\n", - " [1.8204203e+03, 5.2866321e+02, 1.9201846e+03, 7.2499988e+02],\n", - " [5.0179135e+02, 6.0319171e+02, 5.8149597e+02, 7.6925055e+02],\n", - " [1.2511809e+03, 3.8150888e+02, 1.3198638e+03, 5.4116992e+02],\n", - " [6.9260223e+02, 4.7870392e+02, 7.6786200e+02, 6.6348853e+02],\n", - " [6.2791779e+01, 1.1191253e+02, 1.1444880e+02, 2.3927678e+02],\n", - " [9.0263940e+02, 2.1046475e+02, 9.5870239e+02, 3.5692157e+02],\n", - " [8.6698346e+02, 1.3053083e+00, 9.0348218e+02, 1.1293719e+02],\n", - " [4.8772693e+02, 1.8687483e+01, 5.3949811e+02, 1.1848916e+02],\n", - " [2.0087144e+02, 4.5023102e+01, 2.6389291e+02, 1.7074684e+02],\n", - " [1.1734810e+03, 9.3039574e+01, 1.2260333e+03, 2.0674631e+02],\n", - " [1.8359113e+03, 1.4198528e+02, 1.8879950e+03, 2.6885065e+02],\n", - " [1.3819459e+03, 2.2684599e+01, 1.4199988e+03, 1.5497533e+02],\n", - " [1.4155909e+01, 6.3233136e+02, 9.0070679e+01, 7.9508484e+02],\n", - " [1.7829812e+03, 1.4395335e+02, 1.8354938e+03, 2.6409573e+02],\n", - " [2.1213039e+02, 9.1851953e+02, 3.0258490e+02, 1.0798307e+03],\n", - " [9.4274780e+02, 4.8666592e+02, 1.0270260e+03, 6.6458795e+02],\n", - " [3.7824762e+02, 4.8346283e+02, 4.5881479e+02, 6.4100299e+02],\n", - " [1.7454756e+03, 2.6463544e+02, 1.8221906e+03, 4.2262161e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.53571993, 0.7193931 , 0.4926502 , 0.7019812 , 0.79474986,\n", - " 0.53187025, 0.73843604, 0.7890506 , 0.48960894, 0.69043547,\n", - " 0.77727467, 0.72326994, 0.69902974, 0.70448387, 0.6563451 ,\n", - " 0.7237175 , 0.44128442, 0.5143384 , 0.5338476 , 0.4740909 ,\n", - " 0.62270075, 0.47678578, 0.7906751 , 0.6071473 , 0.77060735,\n", - " 0.60421896, 0.337347 , 0.32510287], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 46, 13]), data={'frame_number': ['187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187', '187']}),\n", - " Detections(xyxy=array([[1.05851978e+03, 2.35741516e+02, 1.12087549e+03, 3.87035583e+02],\n", - " [6.77939331e+02, 7.26363068e+01, 7.32285767e+02, 2.13755890e+02],\n", - " [7.19566101e+02, 1.36010094e+01, 7.64506470e+02, 1.40681488e+02],\n", - " [1.16652637e+03, 4.09166870e+02, 1.23033862e+03, 5.48467041e+02],\n", - " [9.19983276e+02, 6.45573364e+02, 1.00382843e+03, 8.22451050e+02],\n", - " [8.20851135e+02, 1.43178666e+00, 8.62515869e+02, 1.19091560e+02],\n", - " [1.54190564e+03, 1.47337952e+02, 1.60341003e+03, 2.95483246e+02],\n", - " [5.20347168e+02, 7.82372864e+02, 6.21423401e+02, 9.74657104e+02],\n", - " [3.34900665e+02, 4.57977142e+02, 3.90082184e+02, 6.06905151e+02],\n", - " [1.03408472e+03, 3.72032349e+02, 1.08149060e+03, 5.10567993e+02],\n", - " [1.82063879e+03, 5.34204590e+02, 1.92045398e+03, 7.31409973e+02],\n", - " [5.00369965e+02, 6.06239929e+02, 5.79612061e+02, 7.71279480e+02],\n", - " [1.24966675e+03, 3.77861176e+02, 1.31942334e+03, 5.40143005e+02],\n", - " [6.94934143e+02, 4.73113831e+02, 7.66061218e+02, 6.48056030e+02],\n", - " [6.09108391e+01, 1.11398712e+02, 1.13230446e+02, 2.38635330e+02],\n", - " [9.03132019e+02, 2.11516937e+02, 9.59195984e+02, 3.57101562e+02],\n", - " [8.67362671e+02, 3.33366990e-01, 9.04188843e+02, 1.12661530e+02],\n", - " [4.91923004e+02, 1.88495007e+01, 5.41157715e+02, 1.16142265e+02],\n", - " [2.00386383e+02, 4.73486557e+01, 2.64335419e+02, 1.75236206e+02],\n", - " [1.17604260e+03, 9.31022568e+01, 1.22750415e+03, 2.04416229e+02],\n", - " [1.83830750e+03, 1.43027924e+02, 1.88985095e+03, 2.68650879e+02],\n", - " [1.38197864e+03, 2.29001732e+01, 1.41997290e+03, 1.54977692e+02],\n", - " [1.47040510e+01, 6.37588440e+02, 9.50780029e+01, 8.04669006e+02],\n", - " [1.78365723e+03, 1.45705414e+02, 1.83706787e+03, 2.67103455e+02],\n", - " [2.16755310e+02, 9.25957642e+02, 3.04595673e+02, 1.08063281e+03],\n", - " [9.44099792e+02, 4.90504852e+02, 1.02709631e+03, 6.65501099e+02],\n", - " [3.78900787e+02, 4.86445557e+02, 4.57802429e+02, 6.41002502e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.51571053, 0.6507496 , 0.38058817, 0.72872305, 0.7999993 ,\n", - " 0.49568594, 0.7400392 , 0.8112397 , 0.52936804, 0.6530668 ,\n", - " 0.66282254, 0.76785725, 0.67851526, 0.6660523 , 0.67302823,\n", - " 0.7090683 , 0.37481675, 0.38958782, 0.5624687 , 0.61358154,\n", - " 0.68627656, 0.43530166, 0.74630463, 0.61957175, 0.7986306 ,\n", - " 0.52954483, 0.31296045], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 46]), data={'frame_number': ['188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188', '188']}),\n", - " Detections(xyxy=array([[1.06064368e+03, 2.33805603e+02, 1.12179517e+03, 3.82318420e+02],\n", - " [6.77340576e+02, 7.02733917e+01, 7.30769836e+02, 2.10138916e+02],\n", - " [7.20283936e+02, 1.58075533e+01, 7.63800232e+02, 1.39723511e+02],\n", - " [1.16475903e+03, 4.13435669e+02, 1.23045105e+03, 5.56007202e+02],\n", - " [9.20326416e+02, 6.48501526e+02, 1.00289557e+03, 8.21982178e+02],\n", - " [8.20823792e+02, 1.71629477e+00, 8.61762024e+02, 1.17518440e+02],\n", - " [1.54078027e+03, 1.45130508e+02, 1.60196936e+03, 2.93309540e+02],\n", - " [5.18448914e+02, 7.88169495e+02, 6.20686829e+02, 9.84023987e+02],\n", - " [3.34681366e+02, 4.57918427e+02, 3.89552795e+02, 6.06226624e+02],\n", - " [1.03361011e+03, 3.68856598e+02, 1.08158997e+03, 5.09511566e+02],\n", - " [1.82205615e+03, 5.37484314e+02, 1.92109131e+03, 7.34320435e+02],\n", - " [4.98918762e+02, 6.08580017e+02, 5.77883911e+02, 7.73191589e+02],\n", - " [1.24898413e+03, 3.75309692e+02, 1.31936768e+03, 5.39258362e+02],\n", - " [6.95149536e+02, 4.67798889e+02, 7.65453125e+02, 6.41035889e+02],\n", - " [6.00319443e+01, 1.11854912e+02, 1.12972862e+02, 2.39031219e+02],\n", - " [9.03712097e+02, 2.12495758e+02, 9.59661743e+02, 3.57741486e+02],\n", - " [8.68034729e+02, 6.43791139e-01, 9.04577515e+02, 1.11930130e+02],\n", - " [4.94156433e+02, 1.82498856e+01, 5.42198792e+02, 1.15923035e+02],\n", - " [2.00257370e+02, 4.88397102e+01, 2.64465607e+02, 1.77531631e+02],\n", - " [1.17687842e+03, 9.25389175e+01, 1.22881433e+03, 2.04929398e+02],\n", - " [1.83994275e+03, 1.44040146e+02, 1.89103516e+03, 2.68534912e+02],\n", - " [1.38199146e+03, 2.29803658e+01, 1.41996582e+03, 1.54980103e+02],\n", - " [1.70881653e+01, 6.43423218e+02, 1.00576721e+02, 8.12134705e+02],\n", - " [1.78368542e+03, 1.49614151e+02, 1.83585242e+03, 2.67531708e+02],\n", - " [2.20661652e+02, 9.31147400e+02, 3.07064453e+02, 1.08081702e+03],\n", - " [9.46361511e+02, 4.92505280e+02, 1.03059277e+03, 6.70982483e+02],\n", - " [3.77273315e+02, 4.85582977e+02, 4.56006927e+02, 6.41002136e+02],\n", - " [1.74700659e+03, 2.68145599e+02, 1.82217004e+03, 4.22188538e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.53631645, 0.69238335, 0.43626094, 0.7291115 , 0.7560239 ,\n", - " 0.48944858, 0.7478514 , 0.8186603 , 0.49467036, 0.66731006,\n", - " 0.5997544 , 0.75907695, 0.7079274 , 0.6744205 , 0.64404124,\n", - " 0.7211694 , 0.340746 , 0.41669548, 0.47665137, 0.6353562 ,\n", - " 0.69811594, 0.4682398 , 0.7606834 , 0.5902227 , 0.8178803 ,\n", - " 0.5565902 , 0.33295178, 0.34411567], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 46, 13]), data={'frame_number': ['189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189', '189']}),\n", - " Detections(xyxy=array([[1.06231323e+03, 2.33172668e+02, 1.12194336e+03, 3.77966156e+02],\n", - " [6.77725342e+02, 6.87880707e+01, 7.30235901e+02, 2.06835571e+02],\n", - " [7.19877075e+02, 1.60922699e+01, 7.62874756e+02, 1.38763824e+02],\n", - " [1.16474548e+03, 4.17569061e+02, 1.23110315e+03, 5.60732605e+02],\n", - " [9.21330566e+02, 6.52779968e+02, 1.00234967e+03, 8.21682434e+02],\n", - " [8.20820862e+02, 2.50212646e+00, 8.61453796e+02, 1.17615456e+02],\n", - " [1.54001648e+03, 1.43707870e+02, 1.60048267e+03, 2.91226624e+02],\n", - " [5.17039795e+02, 7.92203369e+02, 6.19799255e+02, 9.90033081e+02],\n", - " [3.34908569e+02, 4.58566620e+02, 3.89716461e+02, 6.06641785e+02],\n", - " [1.03242078e+03, 3.67124664e+02, 1.08131934e+03, 5.11891296e+02],\n", - " [1.82450610e+03, 5.43172241e+02, 1.92064929e+03, 7.34566284e+02],\n", - " [4.98036987e+02, 6.10655457e+02, 5.76306763e+02, 7.73760986e+02],\n", - " [1.24834424e+03, 3.74490570e+02, 1.31907104e+03, 5.39743652e+02],\n", - " [6.97024719e+02, 4.65326050e+02, 7.65482056e+02, 6.33966431e+02],\n", - " [5.94084320e+01, 1.13340034e+02, 1.12549583e+02, 2.39163681e+02],\n", - " [9.03660400e+02, 2.14114273e+02, 9.59451172e+02, 3.58566010e+02],\n", - " [8.68643616e+02, 7.77380168e-01, 9.05021301e+02, 1.11691132e+02],\n", - " [4.96300110e+02, 1.73698902e+01, 5.43065369e+02, 1.15191368e+02],\n", - " 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0.50416267, 0.7823504 , 0.56406575, 0.8524673 ,\n", - " 0.7103021 , 0.36088082], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 46]), data={'frame_number': ['190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190', '190']}),\n", - " Detections(xyxy=array([[1.06409485e+03, 2.32363922e+02, 1.12283240e+03, 3.75105255e+02],\n", - " [6.78042786e+02, 6.56518326e+01, 7.29871216e+02, 2.02342056e+02],\n", - " [7.20327087e+02, 1.62515507e+01, 7.62587219e+02, 1.36466965e+02],\n", - " [1.16461792e+03, 4.20339417e+02, 1.23080872e+03, 5.62386414e+02],\n", - " [9.21230042e+02, 6.54872375e+02, 1.00330084e+03, 8.25473083e+02],\n", - " [8.21410583e+02, 2.80128598e+00, 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0.74585825, 0.7371097 , 0.74886125, 0.49266988, 0.6867666 ,\n", - " 0.6161846 , 0.4908305 , 0.49845278, 0.7047448 , 0.5608571 ,\n", - " 0.6663821 , 0.4871616 , 0.43942913, 0.5915742 , 0.8146316 ,\n", - " 0.39552265, 0.4242586 , 0.35644227], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 50, 33, 66, 13, 46, 56]), data={'frame_number': ['202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202', '202']}),\n", - " Detections(xyxy=array([[1.06434766e+03, 2.05798050e+02, 1.12431116e+03, 3.52487091e+02],\n", - " [6.80422241e+02, 4.40314941e+01, 7.30359436e+02, 1.77392746e+02],\n", - " [7.22451904e+02, 1.52378380e+00, 7.65465698e+02, 1.12755371e+02],\n", - " [1.17793677e+03, 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7.2966988e+01, 1.2358289e+03, 1.8268794e+02],\n", - " [1.8470753e+03, 1.6133810e+02, 1.8974230e+03, 2.8750027e+02],\n", - " [1.3797959e+03, 2.1987059e+01, 1.4180774e+03, 1.5500763e+02],\n", - " [4.3062397e+01, 7.0158478e+02, 1.4269025e+02, 8.7102997e+02],\n", - " [1.7931404e+03, 1.6309084e+02, 1.8561552e+03, 2.9373792e+02],\n", - " [9.6179730e+02, 5.4500952e+02, 1.0469208e+03, 7.3104950e+02],\n", - " [7.3194598e+02, 9.3671527e+02, 8.7886023e+02, 1.0800106e+03],\n", - " [1.7572493e+03, 2.9688943e+02, 1.8352428e+03, 4.5507019e+02],\n", - " [3.7714545e+02, 4.7358768e+02, 4.6453857e+02, 6.4115247e+02],\n", - " [9.3117731e+02, 0.0000000e+00, 9.8582269e+02, 1.0744075e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6672403 , 0.6545848 , 0.4641578 , 0.7027849 , 0.8250799 ,\n", - " 0.7238929 , 0.7949048 , 0.3270312 , 0.574134 , 0.31868827,\n", - " 0.58570385, 0.7538067 , 0.642212 , 0.51383096, 0.7575773 ,\n", - " 0.49711993, 0.5120787 , 0.6266845 , 0.66222453, 0.55759627,\n", - " 0.45824808, 0.4775206 , 0.6904491 , 0.86781496, 0.37813333,\n", - " 0.3273018 , 0.39726597], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 33, 66, 13, 46, 67]), data={'frame_number': ['204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204', '204']}),\n", - " Detections(xyxy=array([[1.06463794e+03, 1.99474243e+02, 1.12439929e+03, 3.43925415e+02],\n", - " [6.82234131e+02, 3.90867081e+01, 7.30667786e+02, 1.69248215e+02],\n", - " [7.24412659e+02, 1.52484977e+00, 7.66120728e+02, 1.09313286e+02],\n", - " [1.18261877e+03, 4.61798157e+02, 1.24426526e+03, 6.00290894e+02],\n", - " [9.30243347e+02, 7.14459045e+02, 1.02181873e+03, 9.01219788e+02],\n", - " [1.52560803e+03, 1.16211967e+02, 1.58248352e+03, 2.55936234e+02],\n", - " [5.18915466e+02, 8.62466370e+02, 6.23425049e+02, 1.05877869e+03],\n", - " [3.35357178e+02, 4.64010925e+02, 3.90402252e+02, 6.11414490e+02],\n", - " [1.02778955e+03, 3.31251251e+02, 1.07239221e+03, 4.72928284e+02],\n", - " [1.84388000e+03, 6.06607483e+02, 1.92353650e+03, 7.97318542e+02],\n", - " [4.95530762e+02, 6.67145569e+02, 5.69952087e+02, 8.21458130e+02],\n", - " [1.23911536e+03, 3.23942963e+02, 1.30946863e+03, 4.88758331e+02],\n", - " [6.98087158e+02, 4.16395905e+02, 7.67311829e+02, 5.81825134e+02],\n", - " [4.47053032e+01, 1.18120094e+02, 9.97999268e+01, 2.44158859e+02],\n", - " [8.98314453e+02, 2.42810150e+02, 9.57441589e+02, 3.92036682e+02],\n", - " [5.42275269e+02, 1.73762436e+01, 5.88523926e+02, 1.18277390e+02],\n", - " [2.03974014e+02, 6.53424530e+01, 2.67946503e+02, 1.96224243e+02],\n", - " [1.18292981e+03, 7.05710907e+01, 1.23673157e+03, 1.79707367e+02],\n", - " [1.84735876e+03, 1.62144150e+02, 1.89791577e+03, 2.88754974e+02],\n", - " [1.37981238e+03, 2.19885845e+01, 1.41806946e+03, 1.55015808e+02],\n", - " [4.67320137e+01, 7.02507690e+02, 1.45981018e+02, 8.70362427e+02],\n", - " [1.79228711e+03, 1.64738235e+02, 1.85536755e+03, 2.95261871e+02],\n", - " [9.61852539e+02, 5.50182922e+02, 1.04852197e+03, 7.40898682e+02],\n", - " [7.32446716e+02, 9.32262817e+02, 8.78928101e+02, 1.08000964e+03],\n", - " [1.75787512e+03, 2.95612457e+02, 1.83693713e+03, 4.55638428e+02],\n", - " [3.77283752e+02, 4.76182068e+02, 4.63887054e+02, 6.41053894e+02],\n", - " [9.31655273e+02, 7.69188583e-01, 9.86883118e+02, 1.09604919e+02],\n", - " [2.50739578e+02, 1.02631921e+03, 3.07862579e+02, 1.08054822e+03]],\n", - " dtype=float32), mask=None, confidence=array([0.6412779 , 0.65238845, 0.49469826, 0.6827898 , 0.82829356,\n", - " 0.7180443 , 0.7688955 , 0.3374086 , 0.61247844, 0.34035566,\n", - " 0.5459144 , 0.7475315 , 0.7291243 , 0.53697807, 0.7767128 ,\n", - " 0.52882546, 0.54534376, 0.5997405 , 0.6743382 , 0.5751678 ,\n", - " 0.67555064, 0.45847312, 0.6770523 , 0.85302055, 0.6465333 ,\n", - " 0.33325112, 0.50808024, 0.342098 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 33, 66, 13, 46, 67, 50]), data={'frame_number': ['205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205', '205']}),\n", - " Detections(xyxy=array([[1.06369678e+03, 1.93743210e+02, 1.12404248e+03, 3.38458069e+02],\n", - " [6.82179199e+02, 3.76609802e+01, 7.30253601e+02, 1.66858047e+02],\n", - " [7.24728882e+02, 1.57668996e+00, 7.65720154e+02, 1.07173233e+02],\n", - " [1.18320447e+03, 4.64241791e+02, 1.24376868e+03, 5.99792847e+02],\n", - " [9.28556335e+02, 7.18129578e+02, 1.02389966e+03, 9.12396973e+02],\n", - " [1.52538489e+03, 1.12808006e+02, 1.58134058e+03, 2.49887680e+02],\n", - " [5.20764648e+02, 8.65770508e+02, 6.24241272e+02, 1.05945728e+03],\n", - " [3.34711365e+02, 4.64766296e+02, 3.89920563e+02, 6.11817505e+02],\n", - " [1.02755359e+03, 3.28224304e+02, 1.07217358e+03, 4.70872833e+02],\n", - " [1.84538684e+03, 6.09101746e+02, 1.92290247e+03, 7.96458191e+02],\n", - " [4.95890472e+02, 6.70278442e+02, 5.69028320e+02, 8.20006897e+02],\n", - " [1.24064014e+03, 3.21536591e+02, 1.30995654e+03, 4.84635773e+02],\n", - " [6.96104248e+02, 4.13718994e+02, 7.65574219e+02, 5.79713440e+02],\n", - " [4.43568153e+01, 1.18161858e+02, 9.92402344e+01, 2.44916122e+02],\n", - " [8.98723877e+02, 2.46173080e+02, 9.58351929e+02, 3.96620667e+02],\n", - " [5.44986633e+02, 1.64085217e+01, 5.90493469e+02, 1.18127403e+02],\n", - " [2.03763763e+02, 6.55183792e+01, 2.68289581e+02, 1.97244690e+02],\n", - " [1.18492273e+03, 6.97270508e+01, 1.23856653e+03, 1.77327896e+02],\n", - " [1.84760144e+03, 1.63731033e+02, 1.89857849e+03, 2.91183044e+02],\n", - " [1.37983008e+03, 2.19899311e+01, 1.41806323e+03, 1.55017426e+02],\n", - " [5.03657532e+01, 7.04705505e+02, 1.48759613e+02, 8.69972778e+02],\n", - " [1.79269751e+03, 1.66636566e+02, 1.85558118e+03, 2.96422455e+02],\n", - " [9.61400574e+02, 5.53334778e+02, 1.04887036e+03, 7.46470337e+02],\n", - " [7.31657532e+02, 9.24986755e+02, 8.79965881e+02, 1.08000867e+03],\n", - " [1.75855127e+03, 2.97050476e+02, 1.83772327e+03, 4.57109222e+02],\n", - " [3.76829376e+02, 4.78531464e+02, 4.62830078e+02, 6.41016174e+02],\n", - " [9.31383362e+02, 2.75383055e-01, 9.87650391e+02, 1.11730988e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6401775 , 0.63858956, 0.48773596, 0.66895765, 0.8405383 ,\n", - " 0.70294243, 0.7556021 , 0.33588865, 0.5574535 , 0.4388277 ,\n", - " 0.4466194 , 0.754316 , 0.68853486, 0.5232706 , 0.74676275,\n", - " 0.48751613, 0.46913216, 0.55080354, 0.75352013, 0.53858364,\n", - " 0.6582316 , 0.53316426, 0.6546575 , 0.8304647 , 0.6017038 ,\n", - " 0.3499779 , 0.4614911 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 33, 66, 13, 46, 67]), data={'frame_number': ['206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206', '206']}),\n", - " Detections(xyxy=array([[1.06326147e+03, 1.92347946e+02, 1.12332568e+03, 3.35847443e+02],\n", - " [6.81755066e+02, 3.58789711e+01, 7.29821350e+02, 1.65405060e+02],\n", - " [7.25394165e+02, 2.30168891e+00, 7.65662659e+02, 1.05785706e+02],\n", - " [1.18262537e+03, 4.65702881e+02, 1.24363159e+03, 6.00816101e+02],\n", - " [9.26991882e+02, 7.22006836e+02, 1.02363159e+03, 9.18463684e+02],\n", - " [1.52506104e+03, 1.08941696e+02, 1.58123413e+03, 2.46400269e+02],\n", - " [5.22852417e+02, 8.68815735e+02, 6.25114746e+02, 1.05950305e+03],\n", - " [3.34493896e+02, 4.65037903e+02, 3.89711975e+02, 6.11303650e+02],\n", - " [1.02753540e+03, 3.25854858e+02, 1.07139917e+03, 4.66238007e+02],\n", - " [1.84877271e+03, 6.21255615e+02, 1.92112793e+03, 7.96698486e+02],\n", - " [4.95364105e+02, 6.72621765e+02, 5.69378784e+02, 8.22741272e+02],\n", - " [1.24137708e+03, 3.17452545e+02, 1.30869189e+03, 4.75914764e+02],\n", - " [6.93639160e+02, 4.11515167e+02, 7.65334045e+02, 5.83108032e+02],\n", - " [4.45554810e+01, 1.18164192e+02, 9.94175644e+01, 2.45839142e+02],\n", - " [8.99596313e+02, 2.49359451e+02, 9.58658386e+02, 3.98293579e+02],\n", - " [5.47712585e+02, 1.73617077e+01, 5.92625854e+02, 1.19380287e+02],\n", - " [2.03777298e+02, 6.88331070e+01, 2.67660675e+02, 1.98893616e+02],\n", - " [1.18772693e+03, 6.81342697e+01, 1.23982996e+03, 1.71838150e+02],\n", - " [1.84753235e+03, 1.64949219e+02, 1.89894177e+03, 2.93386230e+02],\n", - " [1.37984692e+03, 2.19911194e+01, 1.41805798e+03, 1.55016724e+02],\n", - " [5.32951431e+01, 7.08714600e+02, 1.50705124e+02, 8.71015625e+02],\n", - " [1.79368713e+03, 1.67970337e+02, 1.85610095e+03, 2.96787750e+02],\n", - " [9.62076050e+02, 5.57017334e+02, 1.05002991e+03, 7.51706482e+02],\n", - " [7.31793457e+02, 9.19096313e+02, 8.79311157e+02, 1.07875171e+03],\n", - " [1.75926636e+03, 2.99516296e+02, 1.83880432e+03, 4.60242126e+02],\n", - " [9.31788513e+02, 9.71581265e-02, 9.88806519e+02, 1.13802223e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6710478 , 0.6107284 , 0.44360465, 0.77084976, 0.8515142 ,\n", - " 0.66227734, 0.66351736, 0.34481263, 0.47900328, 0.32597762,\n", - " 0.5658623 , 0.7687578 , 0.7044485 , 0.5118236 , 0.71858793,\n", - " 0.5309715 , 0.48141313, 0.53431356, 0.68980265, 0.513153 ,\n", - " 0.5841979 , 0.60048914, 0.7140344 , 0.797347 , 0.305049 ,\n", - " 0.5015589 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 33, 66, 13, 67]), data={'frame_number': ['207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207', '207']}),\n", - " Detections(xyxy=array([[1.06168433e+03, 1.89274826e+02, 1.12181165e+03, 3.32990448e+02],\n", - " [6.82950623e+02, 3.59518433e+01, 7.30952026e+02, 1.65621902e+02],\n", - " [7.25490051e+02, 1.24955261e+00, 7.65086609e+02, 1.04003571e+02],\n", - " [1.18064844e+03, 4.72123627e+02, 1.24395471e+03, 6.11731384e+02],\n", - " [9.26448975e+02, 7.32489929e+02, 1.02341156e+03, 9.29096985e+02],\n", - " [1.52338843e+03, 1.06918884e+02, 1.58015015e+03, 2.45868896e+02],\n", - " [5.21996582e+02, 8.73096985e+02, 6.21057739e+02, 1.05599670e+03],\n", - " [3.35006012e+02, 4.65126312e+02, 3.90368225e+02, 6.10443848e+02],\n", - " [1.02782922e+03, 3.21093475e+02, 1.07084326e+03, 4.58606995e+02],\n", - " [1.85335864e+03, 6.33748535e+02, 1.92116882e+03, 7.99310486e+02],\n", - " [4.93471924e+02, 6.80044189e+02, 5.69891907e+02, 8.34359863e+02],\n", - " [1.24116296e+03, 3.12049072e+02, 1.30605371e+03, 4.64745605e+02],\n", - " [6.92361816e+02, 4.08157593e+02, 7.65630737e+02, 5.85139038e+02],\n", - " [4.43584633e+01, 1.19467377e+02, 9.85006027e+01, 2.46166962e+02],\n", - " [9.00739990e+02, 2.54461975e+02, 9.58637268e+02, 4.00820618e+02],\n", - " [5.53464722e+02, 1.90491352e+01, 5.98374878e+02, 1.20511635e+02],\n", - " [2.03180130e+02, 7.13738098e+01, 2.68013702e+02, 2.03432129e+02],\n", - " [1.19051501e+03, 6.62536621e+01, 1.24187952e+03, 1.69197800e+02],\n", - " [1.84786890e+03, 1.66027100e+02, 1.90065039e+03, 2.97477448e+02],\n", - " [1.37986255e+03, 2.19921665e+01, 1.41805322e+03, 1.55015259e+02],\n", - " [6.19334793e+01, 7.12072266e+02, 1.59735519e+02, 8.73952637e+02],\n", - " [1.79587231e+03, 1.69746048e+02, 1.85708459e+03, 2.96193695e+02],\n", - " [9.63599182e+02, 5.60906616e+02, 1.05306287e+03, 7.59429016e+02],\n", - " [7.30698425e+02, 9.11867188e+02, 8.79576965e+02, 1.07887512e+03],\n", - " [1.75963770e+03, 3.05666443e+02, 1.84035864e+03, 4.68617462e+02],\n", - " [9.33464478e+02, 3.13484333e-02, 9.91811218e+02, 1.17231400e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6478658 , 0.6004995 , 0.4004985 , 0.6352198 , 0.84603024,\n", - " 0.64876556, 0.7110724 , 0.3499546 , 0.45767754, 0.48453766,\n", - " 0.5071839 , 0.75431687, 0.677425 , 0.452836 , 0.66475034,\n", - " 0.57719237, 0.40860868, 0.4746419 , 0.7187657 , 0.48328558,\n", - " 0.76355076, 0.62350726, 0.7062736 , 0.8313804 , 0.56489396,\n", - " 0.49806786], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 33, 66, 13, 67]), data={'frame_number': ['208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208', '208']}),\n", - " Detections(xyxy=array([[1.0607736e+03, 1.8821803e+02, 1.1202495e+03, 3.3070175e+02],\n", - " [6.8310730e+02, 3.6717930e+01, 7.3166107e+02, 1.6845055e+02],\n", - " [7.2594153e+02, 1.5554878e+00, 7.6443414e+02, 1.0207501e+02],\n", - " [1.1787791e+03, 4.7705206e+02, 1.2451741e+03, 6.2225610e+02],\n", - " [9.2608929e+02, 7.3898444e+02, 1.0240999e+03, 9.3821997e+02],\n", - " [1.5216082e+03, 1.0690009e+02, 1.5783151e+03, 2.4510460e+02],\n", - " [5.2142493e+02, 8.7650537e+02, 6.1905096e+02, 1.0551315e+03],\n", - " [3.3503500e+02, 4.6581064e+02, 3.8945074e+02, 6.0746393e+02],\n", - " [1.0273815e+03, 3.1741656e+02, 1.0705640e+03, 4.5451453e+02],\n", - " [1.8560417e+03, 6.3933698e+02, 1.9235166e+03, 8.0698126e+02],\n", - " [4.9090451e+02, 6.8532129e+02, 5.7130945e+02, 8.4781519e+02],\n", - " [1.2414672e+03, 3.0816943e+02, 1.3053812e+03, 4.5873965e+02],\n", - " [6.9139984e+02, 4.0632962e+02, 7.6494678e+02, 5.8602899e+02],\n", - " [4.4433647e+01, 1.1995225e+02, 9.8718788e+01, 2.4758586e+02],\n", - " [9.0192902e+02, 2.5762561e+02, 9.5854004e+02, 4.0101541e+02],\n", - " [5.5661084e+02, 1.9695753e+01, 6.0202173e+02, 1.2093376e+02],\n", - " [2.0296034e+02, 7.3594856e+01, 2.6748227e+02, 2.0507983e+02],\n", - " [1.1934556e+03, 6.4945839e+01, 1.2446626e+03, 1.6831256e+02],\n", - " [1.8475021e+03, 1.6639789e+02, 1.9017523e+03, 3.0094501e+02],\n", - " [1.3798766e+03, 2.1993092e+01, 1.4180490e+03, 1.5501366e+02],\n", - " [6.7311089e+01, 7.1718457e+02, 1.6536763e+02, 8.7826691e+02],\n", - " [1.7972102e+03, 1.7102737e+02, 1.8575607e+03, 2.9589624e+02],\n", - " [9.6611633e+02, 5.6552570e+02, 1.0541675e+03, 7.6090686e+02],\n", - " [7.3104395e+02, 9.0726031e+02, 8.7954108e+02, 1.0795560e+03],\n", - " [1.7595419e+03, 3.0989844e+02, 1.8404594e+03, 4.7368109e+02],\n", - " [9.3459442e+02, 7.2526038e-03, 9.9370227e+02, 1.1976244e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5925234 , 0.5930003 , 0.3468434 , 0.66551757, 0.85190797,\n", - " 0.67384255, 0.759573 , 0.33987984, 0.505351 , 0.445204 ,\n", - " 0.56733966, 0.7268221 , 0.60647285, 0.46005708, 0.5973901 ,\n", - " 0.60313636, 0.37112862, 0.4329297 , 0.7490798 , 0.4977814 ,\n", - " 0.6530837 , 0.6493039 , 0.583656 , 0.8312756 , 0.49661797,\n", - " 0.4991982 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 33, 66, 13, 67]), data={'frame_number': ['209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209', '209']}),\n", - " Detections(xyxy=array([[1.06082874e+03, 1.88591019e+02, 1.12061145e+03, 3.31286957e+02],\n", - " [6.82733093e+02, 3.37673225e+01, 7.31686768e+02, 1.66942764e+02],\n", - " [1.17815015e+03, 4.80135071e+02, 1.24551965e+03, 6.26167786e+02],\n", - " [9.25601379e+02, 7.43258484e+02, 1.02403723e+03, 9.44105530e+02],\n", - " [1.51872229e+03, 1.06984879e+02, 1.57592615e+03, 2.44921844e+02],\n", - " [5.19402588e+02, 8.81618896e+02, 6.17424316e+02, 1.06006799e+03],\n", - " [3.34365967e+02, 4.66723602e+02, 3.88442688e+02, 6.06347473e+02],\n", - " [1.02760107e+03, 3.14823914e+02, 1.07010315e+03, 4.49122986e+02],\n", - " [1.85389197e+03, 6.46532532e+02, 1.92266870e+03, 8.19002380e+02],\n", - " [4.89179199e+02, 6.89153320e+02, 5.71971680e+02, 8.56684814e+02],\n", - " [1.24085303e+03, 3.04197174e+02, 1.30521448e+03, 4.56036560e+02],\n", - " [6.91230774e+02, 4.04438477e+02, 7.65175537e+02, 5.86481812e+02],\n", - " [4.36396027e+01, 1.20121246e+02, 9.76939316e+01, 2.47440125e+02],\n", - " [9.02762756e+02, 2.60042480e+02, 9.58780151e+02, 4.03001251e+02],\n", - " [5.58500488e+02, 1.99372578e+01, 6.04447815e+02, 1.20421989e+02],\n", - " [2.03306519e+02, 7.50426102e+01, 2.67505066e+02, 2.05633698e+02],\n", - " [1.19517188e+03, 6.38467712e+01, 1.24698804e+03, 1.68730698e+02],\n", - " [1.84821387e+03, 1.67153503e+02, 1.90323657e+03, 3.02870972e+02],\n", - " [1.37988928e+03, 2.19939079e+01, 1.41804504e+03, 1.55012115e+02],\n", - " [7.17583542e+01, 7.20953979e+02, 1.72771164e+02, 8.85758911e+02],\n", - " [1.79865027e+03, 1.72119644e+02, 1.85807544e+03, 2.95064758e+02],\n", - " [9.68751465e+02, 5.69778137e+02, 1.05546704e+03, 7.61900757e+02],\n", - " [7.31998657e+02, 9.02448242e+02, 8.79989014e+02, 1.07983252e+03],\n", - " [1.76060571e+03, 3.13401489e+02, 1.84129626e+03, 4.76827332e+02],\n", - " [9.35263184e+02, 6.66756630e-01, 9.94099670e+02, 1.20623856e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5193198 , 0.56603307, 0.64697 , 0.81959593, 0.6790504 ,\n", - " 0.7307013 , 0.3441922 , 0.48626316, 0.5307493 , 0.5758849 ,\n", - " 0.711226 , 0.5848769 , 0.43344966, 0.61525977, 0.5575188 ,\n", - " 0.31432366, 0.42313525, 0.7610433 , 0.45254374, 0.713699 ,\n", - " 0.60641956, 0.49471685, 0.8037549 , 0.46362117, 0.4486775 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61, 40,\n", - " 64, 35, 65, 24, 33, 66, 13, 67]), data={'frame_number': ['210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210', '210']}),\n", - " Detections(xyxy=array([[1.06025452e+03, 1.87490051e+02, 1.12070288e+03, 3.32266235e+02],\n", - " [6.83179749e+02, 3.27032738e+01, 7.32406860e+02, 1.66431107e+02],\n", - " [1.17622949e+03, 4.83806885e+02, 1.24532483e+03, 6.32086121e+02],\n", - " [9.25131836e+02, 7.46681824e+02, 1.02296472e+03, 9.46789673e+02],\n", - " [1.51647424e+03, 1.06425095e+02, 1.57428650e+03, 2.44276642e+02],\n", - " [5.16648010e+02, 8.87350281e+02, 6.16171997e+02, 1.06844971e+03],\n", - " [1.02697534e+03, 3.13310150e+02, 1.06933887e+03, 4.45898346e+02],\n", - " [1.85644629e+03, 6.52300598e+02, 1.92558069e+03, 8.29934753e+02],\n", - " [4.88004242e+02, 6.91784790e+02, 5.72113831e+02, 8.62556091e+02],\n", - " [1.24053442e+03, 3.01522552e+02, 1.30526660e+03, 4.54526154e+02],\n", - " [6.91370789e+02, 4.01860291e+02, 7.65750671e+02, 5.86741760e+02],\n", - " [4.37666512e+01, 1.20169548e+02, 9.75822144e+01, 2.47357101e+02],\n", - " [9.03825073e+02, 2.62179230e+02, 9.59438721e+02, 4.05661438e+02],\n", - " [5.59244812e+02, 2.00237255e+01, 6.05752197e+02, 1.20216652e+02],\n", - " [2.03169815e+02, 7.61909180e+01, 2.67119354e+02, 2.05773087e+02],\n", - " [1.19580359e+03, 6.34849129e+01, 1.24778088e+03, 1.68957214e+02],\n", - " [1.84865259e+03, 1.68057693e+02, 1.90425171e+03, 3.04854889e+02],\n", - " [1.37990076e+03, 2.19946289e+01, 1.41804138e+03, 1.55010712e+02],\n", - " [1.80030151e+03, 1.71807556e+02, 1.85909766e+03, 2.94035614e+02],\n", - " [9.72431824e+02, 5.73880371e+02, 1.05648792e+03, 7.60763245e+02],\n", - " [7.33668945e+02, 8.98181580e+02, 8.80789978e+02, 1.07994312e+03],\n", - " [1.75921619e+03, 3.14639771e+02, 1.84136218e+03, 4.81868469e+02],\n", - " [9.34731689e+02, 2.50427634e-01, 9.93615723e+02, 1.20850372e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.4923793 , 0.5449958 , 0.7171956 , 0.80036545, 0.6634556 ,\n", - " 0.6991428 , 0.54892343, 0.40709066, 0.49803448, 0.64759743,\n", - " 0.5995656 , 0.39317328, 0.6112433 , 0.47622055, 0.32761443,\n", - " 0.41475984, 0.7580321 , 0.4308544 , 0.62810725, 0.38877177,\n", - " 0.8160392 , 0.39021033, 0.41989756], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 44, 30, 51, 53, 55, 48, 57, 61, 40, 64,\n", - " 35, 24, 33, 66, 13, 67]), data={'frame_number': ['211', '211', '211', '211', '211', '211', '211', '211', '211', '211', '211', '211', '211', '211', '211', '211', '211', '211', '211', '211', '211', '211', '211']}),\n", - " Detections(xyxy=array([[1.05925757e+03, 1.85829575e+02, 1.11956250e+03, 3.31394135e+02],\n", - " [6.83709045e+02, 3.17033539e+01, 7.32965027e+02, 1.64981064e+02],\n", - " [1.17576868e+03, 4.87704895e+02, 1.24625769e+03, 6.36810120e+02],\n", - " [9.25428894e+02, 7.50432495e+02, 1.02205579e+03, 9.48232056e+02],\n", - " [1.51538501e+03, 1.05615784e+02, 1.57400879e+03, 2.44112183e+02],\n", - " [5.16084473e+02, 8.91977356e+02, 6.15926147e+02, 1.07409570e+03],\n", - " [1.02741199e+03, 3.11524261e+02, 1.06975183e+03, 4.43499084e+02],\n", - " [1.85854773e+03, 6.58859314e+02, 1.92613916e+03, 8.36511536e+02],\n", - " [4.87690491e+02, 6.95251831e+02, 5.72058289e+02, 8.66590759e+02],\n", - " [1.24009302e+03, 2.99329926e+02, 1.30563269e+03, 4.54787079e+02],\n", - " [6.91862488e+02, 3.99015717e+02, 7.65563660e+02, 5.83648865e+02],\n", - " [4.33474312e+01, 1.21493645e+02, 9.67336273e+01, 2.47963104e+02],\n", - " [9.04770203e+02, 2.63549957e+02, 9.59788574e+02, 4.06582458e+02],\n", - " [5.60685913e+02, 2.07128258e+01, 6.07507263e+02, 1.20131592e+02],\n", - " [2.02770554e+02, 7.65638733e+01, 2.66657898e+02, 2.05761795e+02],\n", - " [1.19644897e+03, 6.27403564e+01, 1.24889600e+03, 1.69113785e+02],\n", - " [1.84921155e+03, 1.68366104e+02, 1.90551074e+03, 3.06204681e+02],\n", - " [1.37982983e+03, 2.19952621e+01, 1.41811902e+03, 1.55670181e+02],\n", - " [1.80218738e+03, 1.72974823e+02, 1.85948096e+03, 2.93615692e+02],\n", - " [9.76093628e+02, 5.75253418e+02, 1.05915466e+03, 7.60817261e+02],\n", - " [7.34629883e+02, 8.95402954e+02, 8.79547302e+02, 1.07998669e+03],\n", - " [9.34598206e+02, 9.03600007e-02, 9.93299255e+02, 1.20857811e+02],\n", - " [3.73422028e+02, 4.80778076e+02, 4.58953949e+02, 6.42825317e+02],\n", - " [3.33154266e+02, 4.67021973e+02, 3.88921753e+02, 6.09890808e+02],\n", - " [7.72854309e+01, 7.28057617e+02, 1.79496246e+02, 8.93762146e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.51962835, 0.5334225 , 0.693567 , 0.83923304, 0.68691003,\n", - " 0.73210573, 0.5365716 , 0.480784 , 0.5399273 , 0.6083004 ,\n", - " 0.58151996, 0.4296537 , 0.6480206 , 0.5190263 , 0.4323192 ,\n", - " 0.3756603 , 0.7616828 , 0.4468557 , 0.6845934 , 0.37899068,\n", - " 0.80616015, 0.45051944, 0.30056924, 0.3406239 , 0.46022707],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 44, 30, 51, 53, 55, 48, 57, 61, 40, 64,\n", - " 35, 24, 33, 66, 67, 46, 29, 65]), data={'frame_number': ['212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212', '212']}),\n", - " Detections(xyxy=array([[1.05965112e+03, 1.83958054e+02, 1.11969714e+03, 3.30482971e+02],\n", - " [6.82615051e+02, 2.94048176e+01, 7.31810608e+02, 1.63169174e+02],\n", - " [1.17703674e+03, 4.92344788e+02, 1.24711340e+03, 6.39765808e+02],\n", - " [9.26208008e+02, 7.54974670e+02, 1.02037109e+03, 9.47889038e+02],\n", - " [1.51448047e+03, 1.04046249e+02, 1.57250916e+03, 2.40813263e+02],\n", - " [5.15675598e+02, 8.98839905e+02, 6.12749573e+02, 1.07607275e+03],\n", - " [1.02754541e+03, 3.09630585e+02, 1.06996313e+03, 4.42734528e+02],\n", - " [1.86013391e+03, 6.67710083e+02, 1.92680310e+03, 8.47386292e+02],\n", - " [4.86053986e+02, 7.04278503e+02, 5.69663147e+02, 8.73827637e+02],\n", - " [1.23985217e+03, 2.97308838e+02, 1.30586597e+03, 4.55023407e+02],\n", - " [6.91456238e+02, 3.95411499e+02, 7.64805664e+02, 5.80567322e+02],\n", - " [4.35038490e+01, 1.21980309e+02, 9.68032990e+01, 2.48832520e+02],\n", - " [9.04581055e+02, 2.65295258e+02, 9.60447876e+02, 4.11492340e+02],\n", - " [5.65053101e+02, 2.03041248e+01, 6.13407776e+02, 1.22082016e+02],\n", - " [2.02069092e+02, 7.66492462e+01, 2.66375549e+02, 2.06365265e+02],\n", - " [1.19782263e+03, 6.11855431e+01, 1.25139636e+03, 1.69889191e+02],\n", - " [1.84912451e+03, 1.71066345e+02, 1.90624451e+03, 3.09930115e+02],\n", - " [1.37981580e+03, 2.19958076e+01, 1.41813904e+03, 1.55917587e+02],\n", - " [1.80475293e+03, 1.74032547e+02, 1.86036682e+03, 2.92758057e+02],\n", - " [9.76455627e+02, 5.78288696e+02, 1.05903564e+03, 7.61377319e+02],\n", - " [7.31972351e+02, 8.88749084e+02, 8.76342529e+02, 1.07936438e+03],\n", - " [9.34018127e+02, 6.91955090e-01, 9.92328613e+02, 1.20790268e+02],\n", - " [3.72281921e+02, 4.80977356e+02, 4.56818573e+02, 6.42974792e+02],\n", - " [3.32035278e+02, 4.66991730e+02, 3.88563049e+02, 6.11443848e+02],\n", - " [8.07579041e+01, 7.35935120e+02, 1.86611603e+02, 9.07272278e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.48808825, 0.5265085 , 0.6786315 , 0.82428217, 0.6050683 ,\n", - " 0.7584872 , 0.5258072 , 0.3704015 , 0.51047695, 0.5998655 ,\n", - " 0.56299996, 0.46454608, 0.6649475 , 0.40903464, 0.34785658,\n", - " 0.42669004, 0.7308998 , 0.4460915 , 0.65742415, 0.38481835,\n", - " 0.779384 , 0.47872445, 0.36158666, 0.3951531 , 0.5501355 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 44, 30, 51, 53, 55, 48, 57, 61, 40, 64,\n", - " 35, 24, 33, 66, 67, 46, 29, 65]), data={'frame_number': ['213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213', '213']}),\n", - " Detections(xyxy=array([[1.06343604e+03, 1.83980042e+02, 1.12272229e+03, 3.28891205e+02],\n", - " [6.82392700e+02, 2.72755280e+01, 7.30510559e+02, 1.58584579e+02],\n", - " [1.17882288e+03, 4.97274384e+02, 1.24809644e+03, 6.42689453e+02],\n", - " [9.27220276e+02, 7.59158081e+02, 1.01900677e+03, 9.46863342e+02],\n", - " [1.51348828e+03, 1.00856659e+02, 1.57136694e+03, 2.36979507e+02],\n", - " [5.16465637e+02, 9.05908020e+02, 6.09967529e+02, 1.07661987e+03],\n", - " [1.02749731e+03, 3.07691223e+02, 1.07016064e+03, 4.42560852e+02],\n", - " [1.86130847e+03, 6.73448120e+02, 1.92705847e+03, 8.55220398e+02],\n", - " [4.85419434e+02, 7.08891724e+02, 5.68128052e+02, 8.76392395e+02],\n", - " [1.23961621e+03, 2.96664215e+02, 1.30546167e+03, 4.55241669e+02],\n", - " [6.90001831e+02, 3.93488861e+02, 7.62560364e+02, 5.77500977e+02],\n", - " [4.34856033e+01, 1.22807045e+02, 9.62858124e+01, 2.49139648e+02],\n", - " [9.03540466e+02, 2.66534027e+02, 9.60334045e+02, 4.15233582e+02],\n", - " [5.67599365e+02, 2.08026638e+01, 6.15844727e+02, 1.22147232e+02],\n", - " [2.01199112e+02, 7.66333847e+01, 2.65559875e+02, 2.06544952e+02],\n", - " [1.19812451e+03, 5.86723900e+01, 1.25247717e+03, 1.69568481e+02],\n", - " [1.84930981e+03, 1.74680679e+02, 1.90625745e+03, 3.11943665e+02],\n", - " [1.37982214e+03, 2.19962978e+01, 1.41813794e+03, 1.56007797e+02],\n", - " [1.80657800e+03, 1.76386810e+02, 1.86109473e+03, 2.93749451e+02],\n", - " [9.76519958e+02, 5.80610046e+02, 1.05893103e+03, 7.61451843e+02],\n", - " [7.31463684e+02, 8.83110962e+02, 8.74556824e+02, 1.07912024e+03],\n", - " [9.33003845e+02, 9.20013726e-01, 9.91381470e+02, 1.21365219e+02],\n", - " [3.68471741e+02, 4.80379761e+02, 4.50246521e+02, 6.42360413e+02],\n", - " [3.31876740e+02, 4.66981750e+02, 3.88852051e+02, 6.11996216e+02],\n", - " [8.50651398e+01, 7.40651428e+02, 1.90568253e+02, 9.12013916e+02],\n", - " [1.76100244e+03, 3.22065735e+02, 1.84228210e+03, 4.87538483e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.46257252, 0.5095755 , 0.70717573, 0.81651366, 0.63898575,\n", - " 0.7676216 , 0.5522309 , 0.42575422, 0.4775362 , 0.63211685,\n", - " 0.59949976, 0.46037644, 0.6782775 , 0.33759648, 0.3778732 ,\n", - " 0.42006528, 0.7336258 , 0.45776182, 0.6814744 , 0.57565266,\n", - " 0.7646456 , 0.49149966, 0.35003477, 0.3637483 , 0.6676738 ,\n", - " 0.3582181 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 44, 30, 51, 53, 55, 48, 57, 61, 40, 64,\n", - " 35, 24, 33, 66, 67, 46, 29, 65, 13]), data={'frame_number': ['214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214', '214']}),\n", - " Detections(xyxy=array([[1.06574500e+03, 1.81421494e+02, 1.12501648e+03, 3.26375397e+02],\n", - " [6.82804138e+02, 2.32135735e+01, 7.30840332e+02, 1.54916061e+02],\n", - " [1.18197473e+03, 4.99659302e+02, 1.24993347e+03, 6.41641479e+02],\n", - " [9.28776611e+02, 7.63874756e+02, 1.01798425e+03, 9.45616272e+02],\n", - " [1.51241089e+03, 9.83949966e+01, 1.57040955e+03, 2.35620743e+02],\n", - " [5.16116455e+02, 9.11680725e+02, 6.06927307e+02, 1.07664575e+03],\n", - " [1.02767432e+03, 3.05732910e+02, 1.07071716e+03, 4.42599792e+02],\n", - " [4.84516418e+02, 7.11786743e+02, 5.66272156e+02, 8.77159363e+02],\n", - " [1.23885388e+03, 2.95884949e+02, 1.30402466e+03, 4.54130432e+02],\n", - " [6.89720154e+02, 3.90235687e+02, 7.60803650e+02, 5.71145081e+02],\n", - " [4.35726547e+01, 1.23101746e+02, 9.60348892e+01, 2.49232941e+02],\n", - " [9.02941284e+02, 2.66923767e+02, 9.60475342e+02, 4.17230469e+02],\n", - " [5.69194458e+02, 2.03284760e+01, 6.17886169e+02, 1.22817200e+02],\n", - " [2.00743820e+02, 7.72419281e+01, 2.64726562e+02, 2.06565826e+02],\n", - " [1.19982178e+03, 5.57967224e+01, 1.25448718e+03, 1.68178619e+02],\n", - " [1.85073877e+03, 1.78656509e+02, 1.90682898e+03, 3.12633484e+02],\n", - " [1.37983521e+03, 2.19967346e+01, 1.41812952e+03, 1.56037903e+02],\n", - " [1.80731165e+03, 1.77883438e+02, 1.86190137e+03, 2.96772156e+02],\n", - " [9.76287476e+02, 5.84003662e+02, 1.05970264e+03, 7.65367065e+02],\n", - " [7.31846985e+02, 8.76598572e+02, 8.73282288e+02, 1.07775024e+03],\n", - " [9.32227051e+02, 3.41838956e-01, 9.91392334e+02, 1.22855759e+02],\n", - " [3.68807373e+02, 4.80814423e+02, 4.48737000e+02, 6.42790649e+02],\n", - " [3.31769653e+02, 4.67637970e+02, 3.89022919e+02, 6.12843567e+02],\n", - " [8.80448227e+01, 7.44267395e+02, 1.92422058e+02, 9.14295471e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.44912106, 0.5517337 , 0.6848309 , 0.84753436, 0.65120053,\n", - " 0.768463 , 0.60368735, 0.4852874 , 0.6917417 , 0.64126724,\n", - " 0.4268165 , 0.79470295, 0.49176624, 0.40252262, 0.45328134,\n", - " 0.6822041 , 0.5042864 , 0.6568692 , 0.60223347, 0.77658784,\n", - " 0.53400064, 0.3921188 , 0.352135 , 0.62585044], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 30, 51, 53, 55, 48, 57, 61, 40, 64, 35,\n", - " 24, 33, 66, 67, 46, 29, 65]), data={'frame_number': ['215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215', '215']}),\n", - " Detections(xyxy=array([[1.06715771e+03, 1.79203430e+02, 1.12663867e+03, 3.24835876e+02],\n", - " [6.83146240e+02, 2.17605190e+01, 7.30110657e+02, 1.50970123e+02],\n", - " [1.18480542e+03, 5.02398834e+02, 1.25160779e+03, 6.41070801e+02],\n", - " [9.29018127e+02, 7.67446899e+02, 1.01726514e+03, 9.46324768e+02],\n", - " [1.51185730e+03, 9.62124023e+01, 1.56962390e+03, 2.33863251e+02],\n", - " [5.14937073e+02, 9.16279602e+02, 6.04211548e+02, 1.07786548e+03],\n", - " [1.02772705e+03, 3.03765411e+02, 1.07095740e+03, 4.42051331e+02],\n", - " [4.83657654e+02, 7.14029602e+02, 5.64815491e+02, 8.77918213e+02],\n", - " [1.23812708e+03, 2.92404388e+02, 1.30327722e+03, 4.51178436e+02],\n", - " [6.90201538e+02, 3.87794525e+02, 7.58930115e+02, 5.62861938e+02],\n", - " [4.34769669e+01, 1.22532883e+02, 9.61035461e+01, 2.49247635e+02],\n", - " [9.03353638e+02, 2.68959686e+02, 9.61187500e+02, 4.18557159e+02],\n", - " [5.71461670e+02, 2.14591541e+01, 6.19425903e+02, 1.23715591e+02],\n", - " [2.01404724e+02, 7.80909729e+01, 2.64917908e+02, 2.06529282e+02],\n", - " [1.20046204e+03, 4.95151978e+01, 1.25583191e+03, 1.65069687e+02],\n", - " [1.85055884e+03, 1.80101456e+02, 1.90705054e+03, 3.12811218e+02],\n", - " [1.37984985e+03, 2.19971199e+01, 1.41811914e+03, 1.56045380e+02],\n", - " [1.80774194e+03, 1.79058350e+02, 1.86264038e+03, 2.99855255e+02],\n", - " [9.74532654e+02, 5.85807495e+02, 1.06223486e+03, 7.76022461e+02],\n", - " [7.33170715e+02, 8.71654541e+02, 8.70352234e+02, 1.07338196e+03],\n", - " [9.31944214e+02, 7.77577698e-01, 9.91371826e+02, 1.24690155e+02],\n", - " [3.68885376e+02, 4.80313690e+02, 4.46972137e+02, 6.41628662e+02],\n", - " [9.02217789e+01, 7.46135986e+02, 1.93755341e+02, 9.14971252e+02],\n", - " [1.76052271e+03, 3.24690826e+02, 1.84227112e+03, 4.90530487e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.45378727, 0.60034776, 0.69221556, 0.8264333 , 0.68992287,\n", - " 0.7826108 , 0.55578375, 0.3276435 , 0.67185545, 0.64418685,\n", - " 0.4542361 , 0.80517983, 0.38164812, 0.46114025, 0.46780267,\n", - " 0.7189058 , 0.51291037, 0.6825769 , 0.6904915 , 0.7787018 ,\n", - " 0.49196813, 0.352309 , 0.5887209 , 0.35118198], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 30, 51, 53, 55, 48, 57, 61, 40, 64, 35,\n", - " 24, 33, 66, 67, 46, 65, 13]), data={'frame_number': ['216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216', '216']}),\n", - " Detections(xyxy=array([[1.0672454e+03, 1.7645555e+02, 1.1263480e+03, 3.2168475e+02],\n", - " [6.8367712e+02, 1.8630867e+01, 7.3076099e+02, 1.4823599e+02],\n", - " [1.1872498e+03, 5.0394275e+02, 1.2534598e+03, 6.4138196e+02],\n", - " [9.2660254e+02, 7.6925861e+02, 1.0188311e+03, 9.5652777e+02],\n", - " [1.5109543e+03, 9.4795479e+01, 1.5674679e+03, 2.2997331e+02],\n", - " [5.1445837e+02, 9.2112744e+02, 6.0198511e+02, 1.0781909e+03],\n", - " [1.0279980e+03, 3.0310718e+02, 1.0708092e+03, 4.4061649e+02],\n", - " [4.8346616e+02, 7.1669861e+02, 5.6352881e+02, 8.7803259e+02],\n", - " [1.2383610e+03, 2.8987183e+02, 1.3018538e+03, 4.4422818e+02],\n", - " [6.9100311e+02, 3.8566724e+02, 7.5765680e+02, 5.5451147e+02],\n", - " [4.3312153e+01, 1.2296237e+02, 9.5628311e+01, 2.4923558e+02],\n", - " [9.0325262e+02, 2.7163446e+02, 9.6170776e+02, 4.2160248e+02],\n", - " [5.7473761e+02, 2.1226526e+01, 6.2133447e+02, 1.2338398e+02],\n", - " [2.0115082e+02, 7.8370033e+01, 2.6484756e+02, 2.0713962e+02],\n", - " [1.2022172e+03, 4.3925316e+01, 1.2586533e+03, 1.6327078e+02],\n", - " [1.8521003e+03, 1.8124393e+02, 1.9087998e+03, 3.1148663e+02],\n", - " [1.3798641e+03, 2.1997459e+01, 1.4181085e+03, 1.5604463e+02],\n", - " [1.8077965e+03, 1.7945493e+02, 1.8629585e+03, 3.0164352e+02],\n", - " [9.7275995e+02, 5.9030963e+02, 1.0629454e+03, 7.8576392e+02],\n", - " [7.3545398e+02, 8.6669940e+02, 8.6745972e+02, 1.0665023e+03],\n", - " [9.3209442e+02, 1.5997716e+00, 9.9109406e+02, 1.2534395e+02],\n", - " [3.7070880e+02, 4.7879538e+02, 4.4856619e+02, 6.4118823e+02],\n", - " [9.3600105e+01, 7.4734698e+02, 1.9472714e+02, 9.1241101e+02],\n", - " [1.7611780e+03, 3.2767172e+02, 1.8420647e+03, 4.9161243e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.51411134, 0.5951796 , 0.6460371 , 0.8056014 , 0.6340436 ,\n", - " 0.79231834, 0.58682644, 0.539742 , 0.6383821 , 0.6956645 ,\n", - " 0.41234204, 0.7917955 , 0.46413952, 0.41079426, 0.39319307,\n", - " 0.65094584, 0.51690245, 0.6724866 , 0.72579765, 0.80663085,\n", - " 0.42116618, 0.3273754 , 0.38217208, 0.3248424 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 30, 51, 53, 55, 48, 57, 61, 40, 64, 35,\n", - " 24, 33, 66, 67, 46, 65, 13]), data={'frame_number': ['217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217', '217']}),\n", - " Detections(xyxy=array([[1069.1261 , 172.8451 , 1125.6754 , 311.309 ],\n", - " [ 683.8767 , 16.20906 , 730.9962 , 145.97307 ],\n", - " [1187.9905 , 509.05685 , 1254.9103 , 648.054 ],\n", - " [ 926.58374 , 779.6617 , 1023.77985 , 978.50775 ],\n", - " [1509.1691 , 91.009735 , 1565.5302 , 225.92448 ],\n", - " [ 513.0971 , 929.46155 , 598.363 , 1080.2218 ],\n", - " [1028.0654 , 300.3132 , 1070.7988 , 438.1786 ],\n", - " [ 481.14505 , 720.197 , 560.69617 , 879.9032 ],\n", - " [1237.3163 , 282.3683 , 1301.1481 , 437.03616 ],\n", - " [ 691.7073 , 380.28516 , 757.50287 , 546.84924 ],\n", - " [ 43.437607 , 123.77209 , 95.29072 , 248.55196 ],\n", - " [ 902.64624 , 277.18207 , 962.46 , 429.91272 ],\n", - " [ 579.7849 , 21.13107 , 624.6439 , 121.92383 ],\n", - " [ 201.06148 , 81.08388 , 266.14954 , 212.62627 ],\n", - " [1204.6204 , 35.37365 , 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1.06781458e+03, 4.04228577e+02],\n", - " [1.23610315e+03, 2.43925766e+02, 1.29690405e+03, 3.86135254e+02],\n", - " [7.00996338e+02, 3.39667511e+02, 7.66281616e+02, 5.05764496e+02],\n", - " [9.01175354e+02, 3.03702362e+02, 9.61995239e+02, 4.57666992e+02],\n", - " [6.13800720e+02, 2.05611897e+01, 6.59062012e+02, 1.22609306e+02],\n", - " [2.05228180e+02, 9.72187500e+01, 2.68649628e+02, 2.24736710e+02],\n", - " [1.85703271e+03, 1.62140182e+02, 1.92662732e+03, 3.26318481e+02],\n", - " [1.37968506e+03, 2.19995670e+01, 1.41727734e+03, 1.54984161e+02],\n", - " [1.82225659e+03, 1.94672485e+02, 1.88247461e+03, 3.23717133e+02],\n", - " [9.87916504e+02, 6.47862610e+02, 1.08105017e+03, 8.54909302e+02],\n", - " [7.38524841e+02, 7.93632202e+02, 8.36615295e+02, 9.85079834e+02],\n", - " [9.29819946e+02, 1.41044683e+01, 9.86342041e+02, 1.43127731e+02],\n", - " [1.75995776e+03, 3.57242798e+02, 1.84398926e+03, 5.18416504e+02],\n", - " [4.70632599e+02, 7.74810974e+02, 5.53397461e+02, 9.40853333e+02],\n", - 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- " Detections(xyxy=array([[1.06390222e+03, 1.40412216e+02, 1.12114429e+03, 2.82150421e+02],\n", - " [6.86714417e+02, 1.28079474e+00, 7.29808289e+02, 1.20350182e+02],\n", - " [1.19470337e+03, 5.60570740e+02, 1.26929260e+03, 7.13075928e+02],\n", - " [9.37296143e+02, 8.41984680e+02, 1.03983643e+03, 1.04974304e+03],\n", - " [1.49508521e+03, 6.61690750e+01, 1.54912744e+03, 2.00143661e+02],\n", - " [5.20500061e+02, 9.99422485e+02, 5.98988403e+02, 1.07981116e+03],\n", - " [1.02358484e+03, 2.63535461e+02, 1.06740637e+03, 4.00749023e+02],\n", - " [1.23581165e+03, 2.40280411e+02, 1.29710840e+03, 3.83336243e+02],\n", - " [7.01684875e+02, 3.38165497e+02, 7.65655457e+02, 4.99326843e+02],\n", - " [9.01969177e+02, 3.06581879e+02, 9.63064819e+02, 4.63253906e+02],\n", - " [6.16119446e+02, 2.01267700e+01, 6.60452332e+02, 1.23526863e+02],\n", - " [2.04483368e+02, 9.74477921e+01, 2.68991058e+02, 2.27179047e+02],\n", - " [1.85628784e+03, 1.58315704e+02, 1.92680225e+03, 3.28418762e+02],\n", - " [1.37971570e+03, 2.19996185e+01, 1.41725085e+03, 1.54984543e+02],\n", - " [1.82230261e+03, 1.95888123e+02, 1.88285339e+03, 3.25779755e+02],\n", - " [9.89259827e+02, 6.53202148e+02, 1.08239795e+03, 8.61953125e+02],\n", - " [7.40614258e+02, 7.90147522e+02, 8.33229614e+02, 9.72188721e+02],\n", - " [9.29509766e+02, 1.62034054e+01, 9.85810059e+02, 1.45481262e+02],\n", - " [1.76114636e+03, 3.58491028e+02, 1.84606433e+03, 5.19689697e+02],\n", - " [4.70989929e+02, 7.78452332e+02, 5.52547668e+02, 9.41424133e+02],\n", - " [1.35820328e+02, 8.10247742e+02, 2.40029953e+02, 9.79045044e+02],\n", - " [4.17627373e+01, 1.26398529e+02, 9.61294403e+01, 2.48075500e+02],\n", - " [3.35934753e+02, 4.76009430e+02, 3.96268066e+02, 6.16157349e+02],\n", - " [1.21986133e+03, 1.72018700e+01, 1.27289966e+03, 1.39920486e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.64397806, 0.515777 , 0.7164959 , 0.8255771 , 0.6794236 ,\n", - " 0.72221696, 0.5977157 , 0.6770429 , 0.69083697, 0.70574003,\n", - " 0.502074 , 0.37906724, 0.44128853, 0.51048934, 0.53536 ,\n", - " 0.696576 , 0.7577621 , 0.45948398, 0.65726393, 0.4002652 ,\n", - " 0.4873216 , 0.36535552, 0.30980602, 0.31606883], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 64, 35, 24, 33, 66,\n", - " 67, 13, 30, 65, 55, 29, 40]), data={'frame_number': ['232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232', '232']}),\n", - " Detections(xyxy=array([[1.06464380e+03, 1.38646698e+02, 1.12088477e+03, 2.77846100e+02],\n", - " [6.87237488e+02, 6.85872972e-01, 7.30297913e+02, 1.20038780e+02],\n", - " [1.19372778e+03, 5.66693604e+02, 1.26931970e+03, 7.19847107e+02],\n", - " [9.36279968e+02, 8.49380615e+02, 1.03917322e+03, 1.05710693e+03],\n", - " [1.49481702e+03, 6.54311218e+01, 1.54857532e+03, 1.98621078e+02],\n", - " [5.20381897e+02, 1.00273822e+03, 5.99610840e+02, 1.08002417e+03],\n", - " [1.02351086e+03, 2.60393250e+02, 1.06661951e+03, 3.94216400e+02],\n", - " [1.23566467e+03, 2.38375275e+02, 1.29723145e+03, 3.81777954e+02],\n", - " [7.01760132e+02, 3.35732758e+02, 7.65569519e+02, 4.95078857e+02],\n", - " [9.02951660e+02, 3.10225037e+02, 9.62792603e+02, 4.63992096e+02],\n", - " [6.19823914e+02, 1.99682922e+01, 6.63229858e+02, 1.24531372e+02],\n", - " [2.04057632e+02, 9.81555710e+01, 2.69248718e+02, 2.29382385e+02],\n", - " [1.85690271e+03, 1.53668289e+02, 1.92656201e+03, 3.25371521e+02],\n", - " [1.37974329e+03, 2.19996624e+01, 1.41722717e+03, 1.54985794e+02],\n", - " [1.82295068e+03, 1.98280441e+02, 1.88358435e+03, 3.28471375e+02],\n", - " [9.91065491e+02, 6.57729919e+02, 1.08416614e+03, 8.67091187e+02],\n", - " [7.43220703e+02, 7.86403503e+02, 8.31569397e+02, 9.61489563e+02],\n", - " [9.29865601e+02, 1.76385651e+01, 9.85798035e+02, 1.46983856e+02],\n", - " [1.76459644e+03, 3.59538147e+02, 1.84913196e+03, 5.19414124e+02],\n", - " [1.37497482e+02, 8.15543640e+02, 2.45854385e+02, 9.90759521e+02],\n", - " [4.16579552e+01, 1.26807472e+02, 9.62627640e+01, 2.47400208e+02],\n", - " [3.35652313e+02, 4.76121368e+02, 3.97203583e+02, 6.16090820e+02],\n", - " [1.22111255e+03, 1.60246048e+01, 1.27390649e+03, 1.39345810e+02],\n", - " [3.79350769e+02, 4.77173523e+02, 4.57855499e+02, 6.40963684e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.630453 , 0.5354189 , 0.7811111 , 0.86126626, 0.67609227,\n", - " 0.71511936, 0.64068675, 0.740044 , 0.76063454, 0.7213705 ,\n", - " 0.44494617, 0.37646228, 0.3870727 , 0.5117637 , 0.46142346,\n", - " 0.61140454, 0.71887344, 0.46648967, 0.67504317, 0.5556315 ,\n", - " 0.34391218, 0.32873678, 0.30889085, 0.334695 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 64, 35, 24, 33, 66,\n", - " 67, 13, 65, 55, 29, 40, 46]), data={'frame_number': ['233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233', '233']}),\n", - " Detections(xyxy=array([[ 1.06396973e+03, 1.37420898e+02, 1.11975598e+03,\n", - " 2.75677460e+02],\n", - " [ 6.86975647e+02, -1.56623766e-01, 7.30264709e+02,\n", - " 1.20002937e+02],\n", - " [ 1.19390344e+03, 5.72823914e+02, 1.27005664e+03,\n", - " 7.24880432e+02],\n", - " [ 9.35219482e+02, 8.56657349e+02, 1.03821851e+03,\n", - " 1.06430969e+03],\n", - " [ 1.49442395e+03, 6.38983841e+01, 1.54741101e+03,\n", - " 1.94816101e+02],\n", - " [ 5.17093018e+02, 1.01068713e+03, 5.91772217e+02,\n", - " 1.08008459e+03],\n", - " [ 1.02416138e+03, 2.54645203e+02, 1.06700476e+03,\n", - " 3.86517395e+02],\n", - " [ 1.23545276e+03, 2.35790710e+02, 1.29744336e+03,\n", - " 3.80019775e+02],\n", - " [ 6.99994080e+02, 3.31600006e+02, 7.65299011e+02,\n", - " 4.93670135e+02],\n", - " [ 9.04560669e+02, 3.14176788e+02, 9.64100220e+02,\n", - " 4.68129272e+02],\n", - " [ 6.26001160e+02, 2.12261848e+01, 6.67870239e+02,\n", - " 1.24254883e+02],\n", - " [ 2.03529968e+02, 9.97014999e+01, 2.69696869e+02,\n", - " 2.32810638e+02],\n", - " [ 1.38005103e+03, 2.19997025e+01, 1.41758386e+03,\n", - " 1.54987259e+02],\n", - " [ 1.82386475e+03, 2.01122681e+02, 1.88441895e+03,\n", - " 3.30746552e+02],\n", - " [ 9.93118958e+02, 6.63897217e+02, 1.08602112e+03,\n", - " 8.73442871e+02],\n", - " [ 7.43514893e+02, 7.79827637e+02, 8.30329651e+02,\n", - " 9.52404480e+02],\n", - " [ 9.30773926e+02, 2.14422340e+01, 9.86345886e+02,\n", - " 1.50786118e+02],\n", - " [ 1.76706372e+03, 3.61834198e+02, 1.85111023e+03,\n", - " 5.19872375e+02],\n", - " [ 4.08438454e+01, 1.26960083e+02, 9.64296265e+01,\n", - " 2.47141861e+02],\n", - " [ 3.80950592e+02, 4.77694855e+02, 4.59059204e+02,\n", - " 6.40977051e+02]], dtype=float32), mask=None, confidence=array([0.67464435, 0.56569344, 0.7204622 , 0.8575491 , 0.6678797 ,\n", - " 0.48499224, 0.5941906 , 0.71982294, 0.758499 , 0.72633934,\n", - " 0.46525592, 0.4065174 , 0.5452734 , 0.354493 , 0.6640908 ,\n", - " 0.6120752 , 0.4872351 , 0.6499163 , 0.33161598, 0.37795517],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 35, 24, 33, 66, 67,\n", - " 13, 55, 46]), data={'frame_number': ['234', '234', '234', '234', '234', '234', '234', '234', '234', '234', '234', '234', '234', '234', '234', '234', '234', '234', '234', '234']}),\n", - " Detections(xyxy=array([[ 1.06342212e+03, 1.37719086e+02, 1.11831677e+03,\n", - " 2.73644501e+02],\n", - " [ 6.87170227e+02, -4.28843826e-01, 7.30617065e+02,\n", - " 1.20062378e+02],\n", - " [ 1.19438623e+03, 5.75666016e+02, 1.27054712e+03,\n", - " 7.26608765e+02],\n", - " [ 9.34356079e+02, 8.62534546e+02, 1.03763098e+03,\n", - " 1.07077173e+03],\n", - " [ 1.49196509e+03, 6.20621223e+01, 1.54535852e+03,\n", - " 1.92815613e+02],\n", - " [ 5.13873352e+02, 1.01382196e+03, 5.88195923e+02,\n", - " 1.08008655e+03],\n", - " [ 1.02479102e+03, 2.52607620e+02, 1.06744873e+03,\n", - " 3.83098297e+02],\n", - " [ 1.23548779e+03, 2.33608505e+02, 1.29807825e+03,\n", - " 3.79497070e+02],\n", - " [ 6.98403809e+02, 3.28843933e+02, 7.64801270e+02,\n", - " 4.93933594e+02],\n", - " [ 9.04929321e+02, 3.17553040e+02, 9.62165588e+02,\n", - " 4.64965454e+02],\n", - " [ 6.30129944e+02, 2.03955803e+01, 6.71641235e+02,\n", - " 1.24800850e+02],\n", - " [ 2.02660431e+02, 1.00909470e+02, 2.69868347e+02,\n", - " 2.36037537e+02],\n", - " [ 1.37987195e+03, 2.19997387e+01, 1.41735388e+03,\n", - " 1.54988678e+02],\n", - " [ 9.95724182e+02, 6.68719543e+02, 1.08744482e+03,\n", - " 8.76320984e+02],\n", - " [ 7.43741272e+02, 7.72905701e+02, 8.31152832e+02,\n", - " 9.47988586e+02],\n", - " [ 9.32282959e+02, 2.35122452e+01, 9.87371277e+02,\n", - " 1.52173325e+02],\n", - " [ 1.76552136e+03, 3.64609528e+02, 1.85031409e+03,\n", - " 5.22611511e+02],\n", - " [ 4.02533684e+01, 1.27014481e+02, 9.67819138e+01,\n", - " 2.47044434e+02],\n", - " [ 3.81942291e+02, 4.77881409e+02, 4.59710602e+02,\n", - " 6.40318909e+02],\n", - " [ 1.44277832e+02, 8.27187073e+02, 2.58749481e+02,\n", - " 1.01307281e+03]], dtype=float32), mask=None, confidence=array([0.6360674 , 0.59598166, 0.7438867 , 0.8496744 , 0.7036824 ,\n", - " 0.5836318 , 0.59314525, 0.74886745, 0.7684269 , 0.6775286 ,\n", - " 0.4702037 , 0.44911233, 0.5515104 , 0.5353752 , 0.64774173,\n", - " 0.5117401 , 0.6751418 , 0.33378243, 0.39292052, 0.53576595],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 35, 33, 66, 67, 13,\n", - " 55, 46, 65]), data={'frame_number': ['235', '235', '235', '235', '235', '235', '235', '235', '235', '235', '235', '235', '235', '235', '235', '235', '235', '235', '235', '235']}),\n", - " Detections(xyxy=array([[1.06313611e+03, 1.37926682e+02, 1.11721313e+03, 2.72332428e+02],\n", - " [6.87351196e+02, 1.75084010e-01, 7.29973389e+02, 1.18163994e+02],\n", - " [1.19582935e+03, 5.77243652e+02, 1.27141980e+03, 7.26418884e+02],\n", - " [9.34173157e+02, 8.67210815e+02, 1.03724866e+03, 1.07497620e+03],\n", - " [1.48901575e+03, 5.94475441e+01, 1.54337988e+03, 1.91493317e+02],\n", - " [5.12899170e+02, 1.01750604e+03, 5.86340698e+02, 1.08007983e+03],\n", - " [1.02543579e+03, 2.50624908e+02, 1.06788635e+03, 3.79951111e+02],\n", - " [1.23462830e+03, 2.32232971e+02, 1.29787585e+03, 3.80081573e+02],\n", - " [6.97942871e+02, 3.27255127e+02, 7.64467224e+02, 4.92847290e+02],\n", - " [9.04669861e+02, 3.19378387e+02, 9.63814392e+02, 4.73703613e+02],\n", - " [6.34345093e+02, 2.20563087e+01, 6.74804749e+02, 1.24343582e+02],\n", - " [2.02178223e+02, 1.01987366e+02, 2.70074158e+02, 2.38525482e+02],\n", - " [1.37981750e+03, 2.19997692e+01, 1.41725317e+03, 1.54989990e+02],\n", - " [9.94741699e+02, 6.71041992e+02, 1.08590454e+03, 8.76538879e+02],\n", - " [7.44677246e+02, 7.68536743e+02, 8.33962097e+02, 9.48567627e+02],\n", - " [9.33787292e+02, 2.49129467e+01, 9.88149780e+02, 1.52632324e+02],\n", - " [1.76604211e+03, 3.66237610e+02, 1.85284326e+03, 5.27532837e+02],\n", - " [3.83224335e+02, 4.77952850e+02, 4.60996246e+02, 6.39411194e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.58407956, 0.5555905 , 0.66390294, 0.828525 , 0.7620022 ,\n", - " 0.5774715 , 0.631098 , 0.7753775 , 0.74973625, 0.6679533 ,\n", - " 0.44635627, 0.47216317, 0.54870677, 0.51662344, 0.67149085,\n", - " 0.5116812 , 0.65623724, 0.36590874], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 35, 33, 66, 67, 13,\n", - " 46]), data={'frame_number': ['236', '236', '236', '236', '236', '236', '236', '236', '236', '236', '236', '236', '236', '236', '236', '236', '236', '236']}),\n", - " Detections(xyxy=array([[ 1.0634132e+03, 1.3674202e+02, 1.1177848e+03, 2.7261734e+02],\n", - " [ 6.8787659e+02, -2.1849573e-01, 7.2993396e+02, 1.1618268e+02],\n", - " [ 1.1985081e+03, 5.7966760e+02, 1.2728923e+03, 7.2616858e+02],\n", - " [ 9.3427972e+02, 8.7274286e+02, 1.0362600e+03, 1.0776586e+03],\n", - " [ 1.4874966e+03, 5.8532349e+01, 1.5418145e+03, 1.8975661e+02],\n", - " [ 5.1323450e+02, 1.0227854e+03, 5.8373999e+02, 1.0800681e+03],\n", - " [ 1.0248716e+03, 2.4799301e+02, 1.0675303e+03, 3.7757257e+02],\n", - " [ 1.2337089e+03, 2.3049899e+02, 1.2977396e+03, 3.8107013e+02],\n", - " [ 6.9740710e+02, 3.2611429e+02, 7.6404004e+02, 4.9190942e+02],\n", - " [ 9.0582446e+02, 3.2196216e+02, 9.6511237e+02, 4.7876956e+02],\n", - " [ 6.3758618e+02, 2.3363972e+01, 6.7810413e+02, 1.2482255e+02],\n", - " [ 2.0134567e+02, 1.0236064e+02, 2.7013925e+02, 2.4072690e+02],\n", - " [ 1.3798094e+03, 2.1999796e+01, 1.4172034e+03, 1.5499117e+02],\n", - " [ 9.9731903e+02, 6.7439606e+02, 1.0875668e+03, 8.7774542e+02],\n", - " [ 7.4482220e+02, 7.6641449e+02, 8.3458630e+02, 9.4832196e+02],\n", - " [ 9.3443890e+02, 2.5393990e+01, 9.8835144e+02, 1.5274028e+02],\n", - " [ 1.7653867e+03, 3.6940677e+02, 1.8539580e+03, 5.3324530e+02],\n", - " [ 3.8330075e+02, 4.7798047e+02, 4.6117935e+02, 6.3907452e+02],\n", - " [ 4.6607904e+02, 7.9983319e+02, 5.5183319e+02, 9.7004675e+02],\n", - " [ 1.2318218e+03, 2.7810762e+01, 1.2766436e+03, 1.3210312e+02],\n", - " [ 1.5104784e+02, 8.3856110e+02, 2.6367657e+02, 1.0209181e+03]],\n", - " dtype=float32), mask=None, confidence=array([0.6099973 , 0.5578655 , 0.6455232 , 0.8228228 , 0.72818637,\n", - " 0.49010703, 0.644484 , 0.7576788 , 0.72501516, 0.6767717 ,\n", - " 0.4441533 , 0.44255134, 0.5237084 , 0.5573656 , 0.73009443,\n", - " 0.54606944, 0.64716554, 0.34070218, 0.3531137 , 0.34981382,\n", - " 0.48147753], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 35, 33, 66, 67, 13,\n", - " 46, 30, 40, 65]), data={'frame_number': ['237', '237', '237', '237', '237', '237', '237', '237', '237', '237', '237', '237', '237', '237', '237', '237', '237', '237', '237', '237', '237']}),\n", - " Detections(xyxy=array([[1.06443555e+03, 1.36358505e+02, 1.11908691e+03, 2.73463013e+02],\n", - " [6.88378235e+02, 3.36609095e-01, 7.29607849e+02, 1.13506126e+02],\n", - " [1.20146301e+03, 5.83751648e+02, 1.27411768e+03, 7.26574463e+02],\n", - " [9.34524719e+02, 8.76619324e+02, 1.03567346e+03, 1.07909424e+03],\n", - " [1.48594617e+03, 5.75995178e+01, 1.54031067e+03, 1.88529312e+02],\n", - " [5.13835632e+02, 1.02862061e+03, 5.80343811e+02, 1.08005457e+03],\n", - " [1.02585999e+03, 2.46445221e+02, 1.06819666e+03, 3.75475403e+02],\n", - " [1.23382495e+03, 2.28623123e+02, 1.29723059e+03, 3.78260376e+02],\n", - " [6.97895386e+02, 3.24471191e+02, 7.65174316e+02, 4.92332550e+02],\n", - " [9.06690308e+02, 3.23511627e+02, 9.65175354e+02, 4.79958344e+02],\n", - " [6.40480896e+02, 2.31862202e+01, 6.81413452e+02, 1.24333214e+02],\n", - " [2.01171432e+02, 1.05080345e+02, 2.69362518e+02, 2.42161011e+02],\n", - " [1.38002136e+03, 2.13389492e+01, 1.41763184e+03, 1.54992203e+02],\n", - " [9.98873047e+02, 6.76822571e+02, 1.08818909e+03, 8.78020264e+02],\n", - " [7.43781677e+02, 7.65157410e+02, 8.33957947e+02, 9.49109192e+02],\n", - " [9.34874817e+02, 2.61898346e+01, 9.88219788e+02, 1.52723816e+02],\n", - " [1.76755798e+03, 3.71196594e+02, 1.85715894e+03, 5.37957153e+02],\n", - " [3.83269409e+02, 4.77991211e+02, 4.61925934e+02, 6.39618591e+02],\n", - " [4.65034637e+02, 8.03929626e+02, 5.53894165e+02, 9.80350037e+02],\n", - " [1.55061508e+02, 8.42619019e+02, 2.66807526e+02, 1.02389813e+03],\n", - " [4.29574249e+02, 4.59882538e+02, 5.02255005e+02, 6.12850952e+02],\n", - " [9.97802124e+02, 3.78035507e+01, 1.03527588e+03, 1.43799332e+02],\n", - " [1.85506714e+03, 1.37298141e+02, 1.93123291e+03, 3.33916077e+02],\n", - " [3.34588684e+02, 4.75210815e+02, 3.96721161e+02, 6.14273071e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6323712 , 0.55543697, 0.7132824 , 0.82644033, 0.7289842 ,\n", - " 0.38725823, 0.6675888 , 0.7434623 , 0.6941419 , 0.67958814,\n", - " 0.49675065, 0.3744834 , 0.5258855 , 0.5802214 , 0.7497459 ,\n", - " 0.5244552 , 0.5168392 , 0.3766641 , 0.37681672, 0.7546504 ,\n", - " 0.31930512, 0.3565266 , 0.3912381 , 0.33672512], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 35, 33, 66, 67, 13,\n", - " 46, 30, 65, 56, 68, 64, 29]), data={'frame_number': ['238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238', '238']}),\n", - " Detections(xyxy=array([[ 1.06747046e+03, 1.34953003e+02, 1.12157410e+03,\n", - " 2.71217133e+02],\n", - " [ 6.88805847e+02, -9.50988531e-02, 7.28565491e+02,\n", - " 1.07872475e+02],\n", - " [ 1.20393616e+03, 5.87800659e+02, 1.27582532e+03,\n", - " 7.29251465e+02],\n", - " [ 9.35887634e+02, 8.83184448e+02, 1.03418079e+03,\n", - " 1.07875623e+03],\n", - " [ 1.48495813e+03, 5.79786682e+01, 1.53759814e+03,\n", - " 1.84169861e+02],\n", - " [ 1.02626880e+03, 2.45305328e+02, 1.06841687e+03,\n", - " 3.74148956e+02],\n", - " [ 1.23315723e+03, 2.24716721e+02, 1.29644006e+03,\n", - " 3.74643524e+02],\n", - " [ 6.97396606e+02, 3.21969696e+02, 7.65630737e+02,\n", - " 4.93241943e+02],\n", - " [ 9.08794739e+02, 3.25316528e+02, 9.66692932e+02,\n", - " 4.80945160e+02],\n", - " [ 6.42427429e+02, 2.31128712e+01, 6.84218384e+02,\n", - " 1.24806641e+02],\n", - " [ 2.00726471e+02, 1.06742188e+02, 2.69439423e+02,\n", - " 2.44613556e+02],\n", - " [ 1.38009363e+03, 2.10904999e+01, 1.41780164e+03,\n", - " 1.54993103e+02],\n", - " [ 1.00047504e+03, 6.82223206e+02, 1.08797754e+03,\n", - " 8.77957947e+02],\n", - " [ 7.41918579e+02, 7.58935791e+02, 8.33224304e+02,\n", - " 9.46950378e+02],\n", - " [ 9.35233643e+02, 2.84309540e+01, 9.87956482e+02,\n", - " 1.53325317e+02],\n", - " [ 1.76789600e+03, 3.73763977e+02, 1.85948645e+03,\n", - " 5.45537659e+02],\n", - " [ 3.83527527e+02, 4.77334045e+02, 4.63218994e+02,\n", - " 6.39829773e+02],\n", - " [ 4.63507721e+02, 8.11214294e+02, 5.53815918e+02,\n", - " 9.90432190e+02],\n", - " [ 1.58301483e+02, 8.45958313e+02, 2.68624115e+02,\n", - " 1.02487451e+03],\n", - " [ 9.97241760e+02, 3.76045532e+01, 1.03638904e+03,\n", - " 1.49163605e+02],\n", - " [ 1.84475854e+03, 1.26748985e+02, 1.92529565e+03,\n", - " 3.36667816e+02],\n", - " [ 3.34556519e+02, 4.75075989e+02, 3.97245056e+02,\n", - " 6.14076233e+02],\n", - " [ 4.14849358e+01, 1.26134544e+02, 9.89840622e+01,\n", - " 2.45240295e+02],\n", - " [ 1.23622998e+03, 2.54090176e+01, 1.28269165e+03,\n", - " 1.32438080e+02]], dtype=float32), mask=None, confidence=array([0.573234 , 0.47309497, 0.7074113 , 0.78983104, 0.6867545 ,\n", - " 0.63320696, 0.72406995, 0.64754164, 0.7475524 , 0.4879187 ,\n", - " 0.50971454, 0.50545466, 0.5233189 , 0.7305767 , 0.48609877,\n", - " 0.508272 , 0.3629648 , 0.3613893 , 0.39444286, 0.32173073,\n", - " 0.3788008 , 0.3277759 , 0.3300448 , 0.34629583], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 45, 51, 53, 48, 57, 61, 35, 33, 66, 67, 13, 46,\n", - " 30, 65, 68, 64, 29, 55, 40]), data={'frame_number': ['239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239', '239']}),\n", - " Detections(xyxy=array([[1.06843298e+03, 1.33156754e+02, 1.12337585e+03, 2.71107849e+02],\n", - " [6.88589417e+02, 4.57730263e-01, 7.27186218e+02, 1.03841461e+02],\n", - " [1.20505615e+03, 5.91164001e+02, 1.27818726e+03, 7.35462585e+02],\n", - " [9.37595886e+02, 8.87434692e+02, 1.03443567e+03, 1.07905701e+03],\n", - " [1.48331091e+03, 5.55141907e+01, 1.53663293e+03, 1.83298645e+02],\n", - " [1.02636377e+03, 2.43645966e+02, 1.06922070e+03, 3.75094574e+02],\n", - " [1.23189783e+03, 2.20699860e+02, 1.29452551e+03, 3.69412323e+02],\n", - " [6.97901489e+02, 3.20452484e+02, 7.65763733e+02, 4.92357300e+02],\n", - " [9.09873352e+02, 3.26566132e+02, 9.66957458e+02, 4.79888550e+02],\n", - " [6.45782898e+02, 2.30802536e+01, 6.89036011e+02, 1.25640968e+02],\n", - " [2.00390320e+02, 1.07329063e+02, 2.69638733e+02, 2.46136703e+02],\n", - " [1.38019263e+03, 2.09993687e+01, 1.41779272e+03, 1.54334076e+02],\n", - " [1.00125201e+03, 6.85416565e+02, 1.08761914e+03, 8.77091492e+02],\n", - " [7.40005615e+02, 7.54763611e+02, 8.30898682e+02, 9.43651855e+02],\n", - " [9.35746765e+02, 3.05575695e+01, 9.88124878e+02, 1.54165543e+02],\n", - " [1.76522351e+03, 3.76625488e+02, 1.85793811e+03, 5.50285217e+02],\n", - " [3.83032593e+02, 4.77747253e+02, 4.62938507e+02, 6.39913635e+02],\n", - " [1.61105896e+02, 8.50331970e+02, 2.68773621e+02, 1.02373145e+03],\n", - " [9.96761719e+02, 3.75731468e+01, 1.03703845e+03, 1.53523880e+02],\n", - " [1.83998401e+03, 1.11481537e+02, 1.92603931e+03, 3.40209351e+02],\n", - " [3.34960693e+02, 4.74366455e+02, 3.98333954e+02, 6.14010925e+02],\n", - " [4.11601295e+01, 1.26709236e+02, 9.97434082e+01, 2.45028091e+02],\n", - " [1.23794971e+03, 2.41567955e+01, 1.28480481e+03, 1.30666962e+02],\n", - " [4.29325653e+02, 4.60738342e+02, 5.03287750e+02, 6.11383057e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.54795325, 0.4198137 , 0.71827894, 0.7880211 , 0.7129281 ,\n", - " 0.6339313 , 0.7543091 , 0.63484156, 0.7623744 , 0.54225534,\n", - " 0.5374402 , 0.4944291 , 0.5502043 , 0.66061103, 0.44163305,\n", - " 0.50289553, 0.3463341 , 0.35996127, 0.3229922 , 0.37048137,\n", - " 0.3162874 , 0.43156242, 0.3619718 , 0.31330353], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 45, 51, 53, 48, 57, 61, 35, 33, 66, 67, 13, 46,\n", - " 65, 68, 64, 29, 55, 40, 56]), data={'frame_number': ['240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240', '240']}),\n", - " Detections(xyxy=array([[1.06922607e+03, 1.31216354e+02, 1.12425854e+03, 2.69148590e+02],\n", - " [6.88361572e+02, 6.83212042e-01, 7.26837036e+02, 1.02488487e+02],\n", - " [1.20563293e+03, 5.96256714e+02, 1.27949841e+03, 7.42280518e+02],\n", - " [9.38514038e+02, 8.91483948e+02, 1.03356812e+03, 1.07832849e+03],\n", - " [1.48176831e+03, 5.33315277e+01, 1.53530908e+03, 1.82377655e+02],\n", - " [1.02615332e+03, 2.42441238e+02, 1.06910522e+03, 3.74872681e+02],\n", - " [1.23097021e+03, 2.16639648e+02, 1.29360681e+03, 3.65547394e+02],\n", - " [6.97827881e+02, 3.18659943e+02, 7.64768005e+02, 4.89475311e+02],\n", - " [9.11019897e+02, 3.28268219e+02, 9.67603760e+02, 4.80044983e+02],\n", - " [6.48007507e+02, 2.30635681e+01, 6.92317261e+02, 1.24633049e+02],\n", - " [1.99594879e+02, 1.07508553e+02, 2.69072876e+02, 2.46651169e+02],\n", - " [1.38059399e+03, 2.09685593e+01, 1.41808423e+03, 1.54085403e+02],\n", - " [1.00057996e+03, 6.87776428e+02, 1.08701843e+03, 8.77309204e+02],\n", - " [7.37956665e+02, 7.51379028e+02, 8.28063721e+02, 9.39919434e+02],\n", - " [9.35592346e+02, 3.13032475e+01, 9.87851929e+02, 1.54434128e+02],\n", - " [1.76645178e+03, 3.80907959e+02, 1.85826782e+03, 5.53294250e+02],\n", - " [3.81893188e+02, 4.77906555e+02, 4.61756134e+02, 6.39948669e+02],\n", - " [1.62446304e+02, 8.53081177e+02, 2.68903351e+02, 1.02310681e+03],\n", - " [1.83827820e+03, 1.04295387e+02, 1.92617651e+03, 3.42212830e+02],\n", - " [3.34755707e+02, 4.74103058e+02, 3.98428223e+02, 6.13988098e+02],\n", - " [4.09586449e+01, 1.26901871e+02, 1.00756393e+02, 2.44957169e+02],\n", - " [1.23901221e+03, 2.37314625e+01, 1.28569775e+03, 1.29370102e+02],\n", - " [4.29765503e+02, 4.59571838e+02, 5.05777252e+02, 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[1.81628320e+03, 8.56845627e+01, 1.91400781e+03, 2.51613510e+02],\n", - " [1.26024207e+03, 1.42245638e+00, 1.30541028e+03, 9.89003983e+01],\n", - " [3.84702423e+02, 4.75194519e+02, 4.58857544e+02, 6.32755066e+02],\n", - " [4.44727203e+02, 8.90036926e+02, 5.36086914e+02, 1.07106458e+03],\n", - " [2.11737183e+02, 9.38191467e+02, 3.10271362e+02, 1.08157654e+03],\n", - " [4.29139679e+02, 4.54865723e+02, 5.10934174e+02, 6.08143616e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.59356153, 0.70989674, 0.5611785 , 0.53811806, 0.7479859 ,\n", - " 0.6698096 , 0.7561289 , 0.62587833, 0.40151674, 0.48054916,\n", - " 0.77870846, 0.5193142 , 0.52666575, 0.36843246, 0.5662251 ,\n", - " 0.756761 , 0.44667834, 0.42549333, 0.41490847, 0.6531994 ,\n", - " 0.55216336, 0.34667736], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 13, 69, 11, 70,\n", - " 40, 46, 30, 65, 56]), data={'frame_number': ['257', '257', '257', '257', '257', '257', '257', '257', '257', '257', '257', '257', '257', '257', '257', '257', '257', '257', '257', '257', '257', '257']}),\n", - " Detections(xyxy=array([[1.0676833e+03, 9.2764046e+01, 1.1188472e+03, 2.2477782e+02],\n", - " [9.7423907e+02, 9.8252783e+02, 1.0511830e+03, 1.0798164e+03],\n", - " [1.4712136e+03, 1.9744852e+01, 1.5194412e+03, 1.4437569e+02],\n", - " [1.0267078e+03, 1.9783568e+02, 1.0674497e+03, 3.2460538e+02],\n", - " [1.2393120e+03, 1.6721898e+02, 1.2983832e+03, 3.0628830e+02],\n", - " [7.0613330e+02, 2.6634607e+02, 7.7076801e+02, 4.3439581e+02],\n", - " [9.1635803e+02, 3.6998746e+02, 9.7823505e+02, 5.2901245e+02],\n", - " [1.9944006e+02, 1.2487619e+02, 2.6783789e+02, 2.6156424e+02],\n", - " [1.3835480e+03, 1.5242798e+01, 1.4212712e+03, 1.4828091e+02],\n", - " [9.9998682e+02, 7.5791199e+02, 1.0976427e+03, 9.7470447e+02],\n", - " [7.3550275e+02, 6.6943726e+02, 8.1431250e+02, 8.4590997e+02],\n", - " [9.3263300e+02, 3.8241516e+01, 9.8935284e+02, 1.7140628e+02],\n", - " [3.6662415e+01, 1.1995012e+02, 1.0505523e+02, 2.3870891e+02],\n", - " [1.3103888e+03, 9.4801752e+02, 1.4437888e+03, 1.0796180e+03],\n", - " [1.2143278e+03, 6.6136420e+02, 1.2965410e+03, 8.2094836e+02],\n", - " [1.8130533e+03, 8.3456848e+01, 1.9119348e+03, 2.5073933e+02],\n", - " [1.2623132e+03, 1.4401140e+00, 1.3071250e+03, 9.9056984e+01],\n", - " [3.8327161e+02, 4.7359836e+02, 4.5887390e+02, 6.3345947e+02],\n", - " [1.4954973e+03, 1.0192000e+03, 1.5899027e+03, 1.0800000e+03],\n", - " [4.4479648e+02, 8.9228723e+02, 5.3495862e+02, 1.0703469e+03],\n", - " [2.1486923e+02, 9.4348010e+02, 3.1251730e+02, 1.0813405e+03],\n", - " [4.2946637e+02, 4.5558636e+02, 5.1063297e+02, 6.0796680e+02],\n", - " [3.3628882e+02, 4.6715430e+02, 3.9880099e+02, 6.0722205e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6500685 , 0.7048876 , 0.5503858 , 0.62321764, 0.7121137 ,\n", - " 0.6635909 , 0.7737144 , 0.6057562 , 0.3939754 , 0.66745394,\n", - " 0.73119605, 0.5440264 , 0.5230416 , 0.5311722 , 0.7722702 ,\n", - " 0.35850275, 0.39130828, 0.46003637, 0.35393235, 0.69085926,\n", - " 0.69078207, 0.4303747 , 0.3127991 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40,\n", - " 46, 71, 30, 65, 56, 29]), data={'frame_number': ['258', '258', '258', '258', '258', '258', '258', '258', '258', '258', '258', '258', '258', '258', '258', '258', '258', '258', '258', '258', '258', '258', '258']}),\n", - " Detections(xyxy=array([[1.06746423e+03, 8.95594025e+01, 1.11790125e+03, 2.20044495e+02],\n", - " [9.74731079e+02, 9.92137817e+02, 1.04824670e+03, 1.08003394e+03],\n", - " [1.46953601e+03, 1.66767483e+01, 1.51873425e+03, 1.42632919e+02],\n", - " [1.02863184e+03, 1.95087082e+02, 1.06801599e+03, 3.17203339e+02],\n", - " [1.23950745e+03, 1.66088913e+02, 1.29863538e+03, 3.05623962e+02],\n", - " [7.08159302e+02, 2.62495819e+02, 7.69867310e+02, 4.21106598e+02],\n", - " [9.18044861e+02, 3.74705688e+02, 9.79854919e+02, 5.33768677e+02],\n", - " [1.99972015e+02, 1.25265709e+02, 2.67881866e+02, 2.60893188e+02],\n", - " [1.38361560e+03, 1.49768028e+01, 1.42145020e+03, 1.47975403e+02],\n", - " [9.98886658e+02, 7.65801941e+02, 1.09790552e+03, 9.85945435e+02],\n", - " [7.37928528e+02, 6.61575623e+02, 8.13176392e+02, 8.29474182e+02],\n", - " [9.33218384e+02, 3.74919434e+01, 9.91431335e+02, 1.75401947e+02],\n", - " [3.79311028e+01, 1.19871574e+02, 1.05971275e+02, 2.37408875e+02],\n", - " [1.29812488e+03, 9.37863159e+02, 1.43983948e+03, 1.07919568e+03],\n", - " [1.21905945e+03, 6.65034241e+02, 1.29896643e+03, 8.20486267e+02],\n", - " [1.81031311e+03, 8.43421860e+01, 1.90871936e+03, 2.49815521e+02],\n", - " [1.26391614e+03, 8.18693101e-01, 1.30815637e+03, 9.78418732e+01],\n", - " [3.82884979e+02, 4.72355194e+02, 4.59357819e+02, 6.33736023e+02],\n", - " [1.49108752e+03, 1.01154730e+03, 1.59701343e+03, 1.08000000e+03],\n", - " [4.46023682e+02, 8.99681458e+02, 5.32718872e+02, 1.06937341e+03],\n", - " [2.21036423e+02, 9.51342346e+02, 3.16258850e+02, 1.08120410e+03],\n", - " [4.28822083e+02, 4.55843109e+02, 5.09953522e+02, 6.07908630e+02],\n", - " [3.36775574e+02, 4.65536926e+02, 3.98985199e+02, 6.06901733e+02],\n", - " [9.98804199e+02, 5.03618011e+01, 1.03805054e+03, 1.69799896e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.656626 , 0.66569394, 0.56869316, 0.57230204, 0.6969755 ,\n", - " 0.58944994, 0.8007474 , 0.588758 , 0.43147984, 0.54987335,\n", - " 0.7364131 , 0.58594334, 0.47066545, 0.60784775, 0.7685183 ,\n", - " 0.408943 , 0.3697848 , 0.4521356 , 0.62166864, 0.48544604,\n", - " 0.3974273 , 0.4147942 , 0.3334158 , 0.4063651 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40,\n", - " 46, 71, 30, 65, 56, 29, 68]), data={'frame_number': ['259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259', '259']}),\n", - " Detections(xyxy=array([[1.06731165e+03, 8.77841644e+01, 1.11763867e+03, 2.18392044e+02],\n", - " [9.73385620e+02, 9.97999023e+02, 1.04571899e+03, 1.08008960e+03],\n", - " [1.46738159e+03, 1.42754278e+01, 1.51741614e+03, 1.41405380e+02],\n", - " [1.02970667e+03, 1.93508347e+02, 1.06856470e+03, 3.13218018e+02],\n", - " [1.23936108e+03, 1.64446808e+02, 1.29892322e+03, 3.05495972e+02],\n", - " [7.07873291e+02, 2.58487640e+02, 7.69181519e+02, 4.14671997e+02],\n", - " [9.18748169e+02, 3.78390625e+02, 9.81021729e+02, 5.38781372e+02],\n", - " [1.99921158e+02, 1.26038109e+02, 2.67477173e+02, 2.60595032e+02],\n", - " [1.38360144e+03, 1.48883591e+01, 1.42154309e+03, 1.47873672e+02],\n", - " [9.99792603e+02, 7.74588257e+02, 1.09923792e+03, 9.95976746e+02],\n", - " [7.38638306e+02, 6.56853271e+02, 8.12971985e+02, 8.22279053e+02],\n", - " [9.33472412e+02, 3.84937859e+01, 9.92190002e+02, 1.78837646e+02],\n", - " [3.85959091e+01, 1.19855042e+02, 1.06786995e+02, 2.36942184e+02],\n", - " [1.29026648e+03, 9.29591614e+02, 1.43662524e+03, 1.07774524e+03],\n", - " [1.22155151e+03, 6.67588196e+02, 1.29979541e+03, 8.20108643e+02],\n", - " [1.80606909e+03, 8.06018829e+01, 1.90683508e+03, 2.48863266e+02],\n", - " [1.26481274e+03, 1.29525697e+00, 1.30879651e+03, 9.74514465e+01],\n", - " [3.82967560e+02, 4.71903015e+02, 4.59947968e+02, 6.33849854e+02],\n", - " [1.48631201e+03, 1.00229089e+03, 1.60564844e+03, 1.08000000e+03],\n", - " [4.46475525e+02, 9.03553040e+02, 5.31287964e+02, 1.06815112e+03],\n", - " [2.24733994e+02, 9.57406921e+02, 3.18566101e+02, 1.08102698e+03],\n", - " [4.29676147e+02, 4.55940399e+02, 5.11249542e+02, 6.09882324e+02],\n", - " [3.37012573e+02, 4.64349518e+02, 3.98965240e+02, 6.06789917e+02],\n", - " [9.99384521e+02, 5.03470840e+01, 1.03836145e+03, 1.69389587e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6338749 , 0.65666306, 0.62720007, 0.6575247 , 0.66830325,\n", - " 0.5370532 , 0.80095696, 0.59613836, 0.4528516 , 0.62860847,\n", - " 0.7220361 , 0.6232077 , 0.47209972, 0.671443 , 0.7234286 ,\n", - " 0.5118659 , 0.35620642, 0.39456713, 0.63981223, 0.3976459 ,\n", - " 0.5013293 , 0.34884116, 0.32318377, 0.41961348], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40,\n", - " 46, 71, 30, 65, 56, 29, 68]), data={'frame_number': ['260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260', '260']}),\n", - " Detections(xyxy=array([[1.06730188e+03, 8.65393677e+01, 1.11751282e+03, 2.17215820e+02],\n", - " [9.75046448e+02, 1.00611285e+03, 1.04417310e+03, 1.08009558e+03],\n", - " [1.46566907e+03, 1.27809801e+01, 1.51591089e+03, 1.39710052e+02],\n", - " [1.03040869e+03, 1.92356964e+02, 1.06912292e+03, 3.11224731e+02],\n", - " [1.23906531e+03, 1.63265106e+02, 1.29858875e+03, 3.04893860e+02],\n", - " [7.08892151e+02, 2.57119110e+02, 7.69772461e+02, 4.10424469e+02],\n", - " [9.19442627e+02, 3.81007690e+02, 9.82298157e+02, 5.43209167e+02],\n", - " [1.99848297e+02, 1.25632553e+02, 2.67366425e+02, 2.59786652e+02],\n", - " [1.38355981e+03, 1.48665199e+01, 1.42160083e+03, 1.47848404e+02],\n", - " [9.99560303e+02, 7.78470886e+02, 1.10031860e+03, 1.00352423e+03],\n", - " [7.38510193e+02, 6.53300964e+02, 8.13965210e+02, 8.20584412e+02],\n", - " [9.34083557e+02, 3.95294609e+01, 9.92606689e+02, 1.80774292e+02],\n", - " [3.81588211e+01, 1.19859993e+02, 1.06438393e+02, 2.36789551e+02],\n", - " [1.28474194e+03, 9.24586487e+02, 1.43370142e+03, 1.07845520e+03],\n", - " [1.22382190e+03, 6.70394226e+02, 1.30068262e+03, 8.20486877e+02],\n", - " [1.80166162e+03, 8.14307785e+01, 1.90169495e+03, 2.47204529e+02],\n", - " [1.26531311e+03, 1.51089239e+00, 1.30942432e+03, 9.80352478e+01],\n", - " [3.83973236e+02, 4.70440002e+02, 4.61151764e+02, 6.32584412e+02],\n", - " [1.48078650e+03, 9.94928650e+02, 1.60984302e+03, 1.08000000e+03],\n", - " [4.45934204e+02, 9.06790894e+02, 5.30854919e+02, 1.07029163e+03],\n", - " [2.27834824e+02, 9.62099121e+02, 3.20741913e+02, 1.08017358e+03],\n", - " [4.27662506e+02, 4.55318909e+02, 5.10114380e+02, 6.10626892e+02],\n", - " [9.99700806e+02, 5.10119400e+01, 1.03833997e+03, 1.69256851e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6073205 , 0.61939675, 0.64517796, 0.632316 , 0.6412202 ,\n", - " 0.6515849 , 0.78365886, 0.5749546 , 0.4464464 , 0.68697715,\n", - " 0.7480303 , 0.63028663, 0.4327485 , 0.63970494, 0.7549076 ,\n", - " 0.56536925, 0.3389578 , 0.36042157, 0.6357104 , 0.4770651 ,\n", - " 0.45291907, 0.3643993 , 0.48316294], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40,\n", - " 46, 71, 30, 65, 56, 68]), data={'frame_number': ['261', '261', '261', '261', '261', '261', '261', '261', '261', '261', '261', '261', '261', '261', '261', '261', '261', '261', '261', '261', '261', '261', '261']}),\n", - " Detections(xyxy=array([[1.06761145e+03, 8.54917145e+01, 1.11783557e+03, 2.16879471e+02],\n", - " [9.76591064e+02, 1.01063068e+03, 1.04408630e+03, 1.07935071e+03],\n", - " [1.46328149e+03, 1.16317778e+01, 1.51385291e+03, 1.38498795e+02],\n", - " [1.03062024e+03, 1.90684540e+02, 1.06936169e+03, 3.09954407e+02],\n", - " [1.23861365e+03, 1.60938370e+02, 1.29811755e+03, 3.03451630e+02],\n", - " [7.09241150e+02, 2.55398666e+02, 7.70652649e+02, 4.08311523e+02],\n", - " [9.20416321e+02, 3.82562805e+02, 9.82675415e+02, 5.43470764e+02],\n", - " [1.99535812e+02, 1.26774948e+02, 2.66939056e+02, 2.60119537e+02],\n", - " [1.38375342e+03, 1.55298719e+01, 1.42140112e+03, 1.46528854e+02],\n", - " [1.00138855e+03, 7.83051941e+02, 1.10139380e+03, 1.00619501e+03],\n", - " [7.37289490e+02, 6.49494263e+02, 8.14175720e+02, 8.20169678e+02],\n", - " [9.34586975e+02, 3.99237747e+01, 9.92483582e+02, 1.80814346e+02],\n", - " [3.78416634e+01, 1.19871948e+02, 1.06447083e+02, 2.36753616e+02],\n", - " [1.28128809e+03, 9.18972290e+02, 1.43294629e+03, 1.07938843e+03],\n", - " [1.22492700e+03, 6.73298767e+02, 1.30266870e+03, 8.25172668e+02],\n", - " [1.79781458e+03, 7.70820847e+01, 1.90088647e+03, 2.47342850e+02],\n", - " [1.26590942e+03, 1.61742222e+00, 1.31048413e+03, 9.82984772e+01],\n", - " [1.47501807e+03, 9.87039429e+02, 1.61365234e+03, 1.08000000e+03],\n", - " [4.44592407e+02, 9.09814026e+02, 5.31219727e+02, 1.07567651e+03],\n", - " [2.29149719e+02, 9.65604370e+02, 3.22364960e+02, 1.08048535e+03],\n", - " [4.24165253e+02, 4.54425659e+02, 5.07802338e+02, 6.10250122e+02],\n", - " [9.99737732e+02, 5.25628357e+01, 1.03839929e+03, 1.71187454e+02],\n", - " [1.77598254e+03, 4.22710999e+02, 1.86513977e+03, 5.88201660e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6022713 , 0.63298166, 0.6622954 , 0.6226001 , 0.65495485,\n", - " 0.70834774, 0.7184764 , 0.58452594, 0.4505329 , 0.6342945 ,\n", - " 0.7838589 , 0.62456596, 0.42593575, 0.72487533, 0.76215535,\n", - " 0.6221279 , 0.3469644 , 0.70428765, 0.5316926 , 0.60827196,\n", - " 0.35561448, 0.4332108 , 0.40926704], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40,\n", - " 71, 30, 65, 56, 68, 13]), data={'frame_number': ['262', '262', '262', '262', '262', '262', '262', '262', '262', '262', '262', '262', '262', '262', '262', '262', '262', '262', '262', '262', '262', '262', '262']}),\n", - " Detections(xyxy=array([[1.06738098e+03, 8.38497620e+01, 1.11831909e+03, 2.17507553e+02],\n", - " [9.77551514e+02, 1.01542505e+03, 1.04283179e+03, 1.07837854e+03],\n", - " [1.46166882e+03, 1.12712774e+01, 1.51255627e+03, 1.38127197e+02],\n", - " [1.03062097e+03, 1.88816391e+02, 1.06951245e+03, 3.09605743e+02],\n", - " [1.23766614e+03, 1.58172363e+02, 1.29738159e+03, 3.01680267e+02],\n", - " [7.08178162e+02, 2.52204041e+02, 7.70805115e+02, 4.06321136e+02],\n", - " [9.19686096e+02, 3.83044586e+02, 9.83856628e+02, 5.50045837e+02],\n", - " [1.98765625e+02, 1.27176750e+02, 2.66760529e+02, 2.61549164e+02],\n", - " [1.38397827e+03, 1.51265249e+01, 1.42182617e+03, 1.46042419e+02],\n", - " [1.00332874e+03, 7.87903625e+02, 1.10120593e+03, 1.00562781e+03],\n", - " [7.36726013e+02, 6.47575806e+02, 8.14365540e+02, 8.20217529e+02],\n", - " [9.36020264e+02, 4.26830940e+01, 9.92485352e+02, 1.80769424e+02],\n", - " [3.82839699e+01, 1.19885437e+02, 1.07204903e+02, 2.36759705e+02],\n", - " [1.27756348e+03, 9.13113770e+02, 1.43090466e+03, 1.07976282e+03],\n", - " [1.22561914e+03, 6.78233459e+02, 1.30503186e+03, 8.34086182e+02],\n", - " [1.79712756e+03, 7.55737762e+01, 1.90005273e+03, 2.44754150e+02],\n", - " [1.26797510e+03, 1.68222916e+00, 1.31226526e+03, 9.64480209e+01],\n", - " [1.47290637e+03, 9.80925537e+02, 1.61686096e+03, 1.07935815e+03],\n", - " [4.44036285e+02, 9.12769836e+02, 5.30795593e+02, 1.07756531e+03],\n", - " [2.31445938e+02, 9.70087524e+02, 3.24293610e+02, 1.08053735e+03],\n", - " [4.23297089e+02, 4.54089508e+02, 5.07128235e+02, 6.08785583e+02],\n", - " [9.99291382e+02, 5.44410210e+01, 1.03820679e+03, 1.73881714e+02],\n", - " [1.77629443e+03, 4.25438507e+02, 1.86504736e+03, 5.90500244e+02],\n", - " [3.85456360e+02, 4.71386993e+02, 4.61441498e+02, 6.31186279e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.59498477, 0.64324206, 0.60325 , 0.56284267, 0.6214044 ,\n", - " 0.7485064 , 0.75623095, 0.61786765, 0.46834263, 0.5961898 ,\n", - " 0.79561746, 0.61599994, 0.4136135 , 0.78141624, 0.77987266,\n", - " 0.54733837, 0.37330148, 0.6762105 , 0.62547606, 0.6783749 ,\n", - " 0.40927315, 0.48223194, 0.39904445, 0.4264254 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40,\n", - " 71, 30, 65, 56, 68, 13, 46]), data={'frame_number': ['263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263', '263']}),\n", - " Detections(xyxy=array([[1.0669751e+03, 8.2639694e+01, 1.1181730e+03, 2.1650189e+02],\n", - " [1.4600206e+03, 9.2164116e+00, 1.5105565e+03, 1.3475476e+02],\n", - " [1.0304266e+03, 1.8753584e+02, 1.0697489e+03, 3.1090811e+02],\n", - " [1.2378455e+03, 1.5458226e+02, 1.2965537e+03, 2.9517395e+02],\n", - " [7.0735553e+02, 2.4978598e+02, 7.7059143e+02, 4.0503204e+02],\n", - " [9.2205194e+02, 3.8706940e+02, 9.8487598e+02, 5.5112921e+02],\n", - " [1.9741489e+02, 1.2862196e+02, 2.6643405e+02, 2.6470514e+02],\n", - " [1.3840782e+03, 1.4981857e+01, 1.4219587e+03, 1.4521277e+02],\n", - " [1.0152491e+03, 7.9286157e+02, 1.1084585e+03, 1.0031468e+03],\n", - " [7.3597064e+02, 6.4307037e+02, 8.1564716e+02, 8.2044336e+02],\n", - " [9.3681940e+02, 4.6369572e+01, 9.9155353e+02, 1.8069122e+02],\n", - " [3.8075306e+01, 1.1989845e+02, 1.0719413e+02, 2.3677950e+02],\n", - " [1.2726549e+03, 9.0524866e+02, 1.4281407e+03, 1.0799131e+03],\n", - " [1.2269655e+03, 6.8522467e+02, 1.3073815e+03, 8.4388824e+02],\n", - " [1.7945941e+03, 7.4450218e+01, 1.8948870e+03, 2.3912689e+02],\n", - " [1.2695564e+03, 1.0634029e+00, 1.3133639e+03, 9.4456787e+01],\n", - " [1.4661533e+03, 9.6787250e+02, 1.6246683e+03, 1.0790962e+03],\n", - " [4.4454779e+02, 9.2436780e+02, 5.2730225e+02, 1.0788113e+03],\n", - " [2.3467744e+02, 9.7491949e+02, 3.2643741e+02, 1.0798014e+03],\n", - " [4.2148947e+02, 4.5396866e+02, 5.0639578e+02, 6.0888953e+02],\n", - " [1.0006381e+03, 5.9080421e+01, 1.0392496e+03, 1.7817712e+02],\n", - " [1.7770834e+03, 4.2836935e+02, 1.8662854e+03, 5.9454742e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.594234 , 0.63206905, 0.5081186 , 0.61250275, 0.77493936,\n", - " 0.72962576, 0.5284016 , 0.52952856, 0.588273 , 0.7957634 ,\n", - " 0.6056542 , 0.38057965, 0.683905 , 0.8032929 , 0.45480415,\n", - " 0.40521175, 0.7677698 , 0.58624357, 0.5371833 , 0.3254926 ,\n", - " 0.432975 , 0.40385568], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 30, 65, 56, 68, 13]), data={'frame_number': ['264', '264', '264', '264', '264', '264', '264', '264', '264', '264', '264', '264', '264', '264', '264', '264', '264', '264', '264', '264', '264', '264']}),\n", - " Detections(xyxy=array([[1.06677771e+03, 8.15965576e+01, 1.11817090e+03, 2.15539093e+02],\n", - " [1.45906348e+03, 9.83949566e+00, 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data={'frame_number': ['265', '265', '265', '265', '265', '265', '265', '265', '265', '265', '265', '265', '265', '265', '265', '265', '265', '265', '265', '265', '265']}),\n", - " Detections(xyxy=array([[1.06676050e+03, 8.06114044e+01, 1.11812415e+03, 2.14585419e+02],\n", - " [1.45733020e+03, 8.80701065e+00, 1.50778296e+03, 1.34534668e+02],\n", - " [1.03097852e+03, 1.82607773e+02, 1.07140857e+03, 3.11136169e+02],\n", - " [1.23918689e+03, 1.48461853e+02, 1.29669092e+03, 2.84054047e+02],\n", - " [7.03339844e+02, 2.47207336e+02, 7.66826904e+02, 4.05539368e+02],\n", - " [9.24279968e+02, 3.92781738e+02, 9.85880432e+02, 5.53606384e+02],\n", - " [1.96067337e+02, 1.31781235e+02, 2.67575012e+02, 2.71877991e+02],\n", - " [1.38389136e+03, 1.49234467e+01, 1.42223816e+03, 1.45486786e+02],\n", - " [1.00976410e+03, 8.00125854e+02, 1.10110474e+03, 1.00160760e+03],\n", - " [7.35163635e+02, 6.36143433e+02, 8.16489990e+02, 8.18698669e+02],\n", - " [9.37778259e+02, 5.04551926e+01, 9.91137817e+02, 1.80786087e+02],\n", - " [3.75343018e+01, 1.19670509e+02, 1.07096893e+02, 2.36823914e+02],\n", - " [1.26162317e+03, 8.95494202e+02, 1.41600256e+03, 1.07935974e+03],\n", - " [1.22749707e+03, 6.96231201e+02, 1.30988940e+03, 8.61839050e+02],\n", - " [1.79232239e+03, 7.36132736e+01, 1.89012488e+03, 2.32965759e+02],\n", - " [1.27285388e+03, 7.98533678e-01, 1.31533679e+03, 9.01303635e+01],\n", - " [1.46077844e+03, 9.51320496e+02, 1.63121045e+03, 1.07833594e+03],\n", - " [4.45055908e+02, 9.37113342e+02, 5.24509399e+02, 1.07885107e+03],\n", - " [1.00183777e+03, 6.13991661e+01, 1.04123682e+03, 1.84374878e+02],\n", - " [1.77605347e+03, 4.32870209e+02, 1.86895801e+03, 6.07929688e+02],\n", - " [1.89868005e+03, 9.14000015e+01, 1.91871997e+03, 2.00000000e+02],\n", - " [1.85769189e+03, 2.24866547e+02, 1.91935449e+03, 3.56519623e+02],\n", - " [3.36932861e+02, 4.60077209e+02, 3.98206390e+02, 6.03977722e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.48579478, 0.6135526 , 0.46147096, 0.73105574, 0.74052584,\n", - " 0.7638415 , 0.55134666, 0.5293545 , 0.6193658 , 0.75846505,\n", - " 0.5650714 , 0.329123 , 0.69375646, 0.77996945, 0.5506144 ,\n", - " 0.4097421 , 0.7024852 , 0.5962242 , 0.46180457, 0.4160754 ,\n", - " 0.427426 , 0.36653772, 0.3023041 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 30, 68, 13, 72, 24, 29]), data={'frame_number': ['266', '266', '266', '266', '266', '266', '266', '266', '266', '266', '266', '266', '266', '266', '266', '266', '266', '266', '266', '266', '266', '266', '266']}),\n", - " Detections(xyxy=array([[1.06690881e+03, 7.96445618e+01, 1.11730200e+03, 2.11649979e+02],\n", - " [1.45684009e+03, 8.46643829e+00, 1.50663196e+03, 1.32969086e+02],\n", - " [1.03081995e+03, 1.80151627e+02, 1.07149036e+03, 3.10415436e+02],\n", - " [1.23841943e+03, 1.44590347e+02, 1.29693494e+03, 2.81573517e+02],\n", - " [7.02271606e+02, 2.46883224e+02, 7.65695129e+02, 4.05716797e+02],\n", - " [9.24713196e+02, 3.95776062e+02, 9.85218201e+02, 5.53424866e+02],\n", - " [1.94829971e+02, 1.33562439e+02, 2.67018677e+02, 2.74427917e+02],\n", - " [1.38323987e+03, 1.49250107e+01, 1.42222534e+03, 1.47037857e+02],\n", - " [1.01151868e+03, 8.04204102e+02, 1.10174573e+03, 1.00171368e+03],\n", - " [7.34841797e+02, 6.31983032e+02, 8.17004883e+02, 8.17029053e+02],\n", - " [9.37976135e+02, 5.25179901e+01, 9.91152710e+02, 1.81892960e+02],\n", - " [3.81966972e+01, 1.20500854e+02, 1.07388802e+02, 2.36844879e+02],\n", - " [1.25173389e+03, 8.91197021e+02, 1.40595215e+03, 1.07911597e+03],\n", - " [1.22849744e+03, 7.01476929e+02, 1.31076965e+03, 8.68394287e+02],\n", - " [1.78788025e+03, 8.68077393e+01, 1.87588647e+03, 2.30265518e+02],\n", - " [1.27437830e+03, 7.96392262e-01, 1.31652759e+03, 8.82430801e+01],\n", - " [1.45791296e+03, 9.45876587e+02, 1.63126038e+03, 1.07930811e+03],\n", - " [4.43456055e+02, 9.42169739e+02, 5.21860718e+02, 1.07891516e+03],\n", - " [1.00175140e+03, 6.28905716e+01, 1.04086340e+03, 1.85318085e+02],\n", - " [1.77515320e+03, 4.36219696e+02, 1.86953101e+03, 6.15180237e+02],\n", - " [1.89783105e+03, 8.80666351e+01, 1.91850830e+03, 2.00000000e+02],\n", - " [2.48409332e+02, 9.90229187e+02, 3.33057251e+02, 1.08079480e+03],\n", - " [4.20660370e+02, 4.54771393e+02, 5.06856049e+02, 6.10617126e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.52199686, 0.5954606 , 0.50877506, 0.7154899 , 0.7226255 ,\n", - " 0.7720399 , 0.56743443, 0.5371745 , 0.6319424 , 0.7536819 ,\n", - " 0.6384783 , 0.32851228, 0.69869524, 0.74709195, 0.47010213,\n", - " 0.446789 , 0.725534 , 0.5505225 , 0.49257272, 0.48367926,\n", - " 0.3545099 , 0.48212385, 0.30851802], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 30, 68, 13, 72, 65, 56]), data={'frame_number': ['267', '267', '267', '267', '267', '267', '267', '267', '267', '267', '267', '267', '267', '267', '267', '267', '267', '267', '267', '267', '267', '267', '267']}),\n", - " Detections(xyxy=array([[1.06732349e+03, 7.73563538e+01, 1.11730823e+03, 2.07953064e+02],\n", - " [1.45609058e+03, 8.39830589e+00, 1.50554773e+03, 1.32446060e+02],\n", - " [1.03117322e+03, 1.79944550e+02, 1.07108887e+03, 3.07591583e+02],\n", - " [1.23875195e+03, 1.43240204e+02, 1.29706274e+03, 2.78777893e+02],\n", - " [7.02000305e+02, 2.46195770e+02, 7.65803345e+02, 4.06530090e+02],\n", - " [9.24144836e+02, 3.98126404e+02, 9.84298828e+02, 5.54577881e+02],\n", - " [1.93496445e+02, 1.36175247e+02, 2.65705139e+02, 2.76658722e+02],\n", - " [1.38285767e+03, 1.49305363e+01, 1.42234961e+03, 1.48290115e+02],\n", - " [1.01174982e+03, 8.08884705e+02, 1.10101831e+03, 1.00160956e+03],\n", - " [7.34393738e+02, 6.29235962e+02, 8.16222290e+02, 8.13898254e+02],\n", - " [9.36989441e+02, 5.25766640e+01, 9.90869446e+02, 1.82936478e+02],\n", - " [3.79596405e+01, 1.20818871e+02, 1.07315781e+02, 2.37527191e+02],\n", - " [1.24680811e+03, 8.87137756e+02, 1.40078320e+03, 1.07966003e+03],\n", - " [1.22984082e+03, 7.05949036e+02, 1.31136462e+03, 8.72674072e+02],\n", - " [1.78064526e+03, 9.54100723e+01, 1.86174841e+03, 2.28712189e+02],\n", - " [1.27505872e+03, 1.48760235e+00, 1.31741382e+03, 8.76073914e+01],\n", - " [1.45715637e+03, 9.42637878e+02, 1.62958875e+03, 1.07971350e+03],\n", - " [1.00097266e+03, 6.47263718e+01, 1.03945667e+03, 1.85613220e+02],\n", - " [1.77665601e+03, 4.41333710e+02, 1.86980835e+03, 6.19153015e+02],\n", - " [1.89600134e+03, 8.46177063e+01, 1.91768726e+03, 2.01518814e+02],\n", - " [4.20300598e+02, 4.54924530e+02, 5.07310547e+02, 6.11583435e+02],\n", - " [7.34842224e+02, 1.90118771e+01, 7.83047729e+02, 1.19042480e+02],\n", - " [3.35694977e+02, 4.61355164e+02, 3.96962311e+02, 6.07735779e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.55224025, 0.57862186, 0.5112997 , 0.6989189 , 0.7303462 ,\n", - " 0.8087418 , 0.543022 , 0.5118436 , 0.6346611 , 0.808681 ,\n", - " 0.6744582 , 0.38329026, 0.6714647 , 0.73054814, 0.45825365,\n", - " 0.40153965, 0.7617889 , 0.52164525, 0.36182618, 0.34195495,\n", - " 0.3545795 , 0.37295163, 0.30125746], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 13, 72, 56, 57, 29]), data={'frame_number': ['268', '268', '268', '268', '268', '268', '268', '268', '268', '268', '268', '268', '268', '268', '268', '268', '268', '268', '268', '268', '268', '268', '268']}),\n", - " Detections(xyxy=array([[1.06716357e+03, 7.39029846e+01, 1.11697180e+03, 2.03982880e+02],\n", - " [1.45475427e+03, 7.75578880e+00, 1.50297546e+03, 1.28328827e+02],\n", - " [1.03230200e+03, 1.77320953e+02, 1.07124451e+03, 3.01287384e+02],\n", - " [1.23926770e+03, 1.42188797e+02, 1.29738269e+03, 2.76530945e+02],\n", - " [7.01237610e+02, 2.43385437e+02, 7.65866211e+02, 4.06906738e+02],\n", - " [9.23235718e+02, 4.02230316e+02, 9.84606384e+02, 5.61574707e+02],\n", - " [1.92293625e+02, 1.41080124e+02, 2.63938385e+02, 2.80079987e+02],\n", - " [1.38238000e+03, 1.55951052e+01, 1.42206665e+03, 1.48768799e+02],\n", - " [1.00717590e+03, 8.17160034e+02, 1.10131970e+03, 1.01828101e+03],\n", - " [7.34389954e+02, 6.24409851e+02, 8.14442810e+02, 8.04290588e+02],\n", - " [9.35075073e+02, 5.32200317e+01, 9.90973694e+02, 1.87926407e+02],\n", - " [3.69957085e+01, 1.20938965e+02, 1.07494682e+02, 2.39774185e+02],\n", - " [1.24131458e+03, 8.81888000e+02, 1.39498816e+03, 1.07987598e+03],\n", - " [1.23146252e+03, 7.11426941e+02, 1.31170642e+03, 8.76064697e+02],\n", - " [1.77044702e+03, 9.69481964e+01, 1.85018005e+03, 2.26875244e+02],\n", - " [1.27612061e+03, 1.75475597e+00, 1.31817224e+03, 8.54110031e+01],\n", - " [1.45588147e+03, 9.35305664e+02, 1.63110388e+03, 1.07988269e+03],\n", - " [1.00153125e+03, 6.86812897e+01, 1.03871045e+03, 1.85663986e+02],\n", - " [1.77673254e+03, 4.45853882e+02, 1.86973828e+03, 6.24438293e+02],\n", - " [4.21009613e+02, 4.55638397e+02, 5.07960388e+02, 6.11915771e+02],\n", - " [7.35973022e+02, 2.11070347e+01, 7.84676575e+02, 1.19628113e+02],\n", - " [3.81199066e+02, 4.75533997e+02, 4.55835144e+02, 6.32703186e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5995379 , 0.6052242 , 0.51325035, 0.71923965, 0.7696123 ,\n", - " 0.8050829 , 0.48659885, 0.5274425 , 0.5854768 , 0.8433387 ,\n", - " 0.618561 , 0.52488714, 0.59040976, 0.75502634, 0.5400282 ,\n", - " 0.37015447, 0.74595666, 0.5096142 , 0.3244558 , 0.41625142,\n", - " 0.4404205 , 0.35864896], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 13, 56, 57, 46]), data={'frame_number': ['269', '269', '269', '269', '269', '269', '269', '269', '269', '269', '269', '269', '269', '269', '269', '269', '269', '269', '269', '269', '269', '269']}),\n", - " Detections(xyxy=array([[1.06719543e+03, 7.20134583e+01, 1.11676343e+03, 2.01913925e+02],\n", - " [1.45292786e+03, 4.21490335e+00, 1.50210461e+03, 1.26847649e+02],\n", - " [1.03276318e+03, 1.75753830e+02, 1.07124878e+03, 2.97662109e+02],\n", - " [1.23823901e+03, 1.41234390e+02, 1.29738562e+03, 2.77148499e+02],\n", - " [7.01342346e+02, 2.41081192e+02, 7.66166199e+02, 4.06450348e+02],\n", - " [9.22280701e+02, 4.05651611e+02, 9.85965942e+02, 5.70688538e+02],\n", - " [1.90763138e+02, 1.42890213e+02, 2.62383484e+02, 2.81310028e+02],\n", - " [1.38221570e+03, 1.65121975e+01, 1.42193774e+03, 1.48949432e+02],\n", - " [1.00301794e+03, 8.22691589e+02, 1.10326746e+03, 1.03605908e+03],\n", - " [7.34689392e+02, 6.20760986e+02, 8.12806946e+02, 7.94795471e+02],\n", - " [9.33292603e+02, 5.34310303e+01, 9.90765625e+02, 1.91726883e+02],\n", - " [3.75819817e+01, 1.21640541e+02, 1.07922127e+02, 2.40620575e+02],\n", - " [1.23601062e+03, 8.78081055e+02, 1.38853210e+03, 1.07996106e+03],\n", - " [1.23214502e+03, 7.16634399e+02, 1.31101868e+03, 8.78454285e+02],\n", - " [1.75937109e+03, 9.74268494e+01, 1.83890417e+03, 2.25626312e+02],\n", - " [1.27621228e+03, 1.86406744e+00, 1.31863989e+03, 8.46638870e+01],\n", - " [1.45745923e+03, 9.31285889e+02, 1.63086426e+03, 1.07995105e+03],\n", - " [1.00119012e+03, 6.87681808e+01, 1.03896753e+03, 1.86959625e+02],\n", - " [4.21404724e+02, 4.55905762e+02, 5.08097809e+02, 6.11373840e+02],\n", - " [7.36328918e+02, 2.04079113e+01, 7.85929077e+02, 1.19808205e+02],\n", - " [1.82538660e+03, 8.90000000e+01, 1.88341333e+03, 2.24800003e+02],\n", - " [3.82383881e+02, 4.76596252e+02, 4.57260620e+02, 6.34281799e+02],\n", - " [1.85545581e+03, 1.93846527e+02, 1.92960364e+03, 3.65212982e+02],\n", - " [1.89002490e+03, 7.42915573e+01, 1.91504834e+03, 2.06982544e+02],\n", - " [3.37377502e+02, 4.63317932e+02, 3.97798706e+02, 6.08666565e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5827124 , 0.61410105, 0.47023875, 0.71658707, 0.7760179 ,\n", - " 0.8036885 , 0.48919547, 0.5066134 , 0.71529126, 0.8176074 ,\n", - " 0.63838905, 0.48638168, 0.59500325, 0.76375604, 0.559356 ,\n", - " 0.38852355, 0.8033459 , 0.52539223, 0.43245426, 0.40786314,\n", - " 0.40606177, 0.38374144, 0.37409353, 0.3668267 , 0.34347442],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 56, 57, 74, 46, 24, 72, 29]), data={'frame_number': ['270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270', '270']}),\n", - " Detections(xyxy=array([[1.0674718e+03, 7.0712921e+01, 1.1164307e+03, 1.9923376e+02],\n", - " [1.4521812e+03, 2.2914054e+00, 1.5012740e+03, 1.2503137e+02],\n", - " [1.0332329e+03, 1.7458307e+02, 1.0709332e+03, 2.9307123e+02],\n", - " [1.2378501e+03, 1.4029744e+02, 1.2973878e+03, 2.7681229e+02],\n", - " [7.0152386e+02, 2.3766180e+02, 7.6615930e+02, 4.0436850e+02],\n", - " [9.2242432e+02, 4.0816605e+02, 9.8855609e+02, 5.7991144e+02],\n", - " [1.8926588e+02, 1.4417250e+02, 2.6209305e+02, 2.8501050e+02],\n", - " [1.3819182e+03, 1.6198221e+01, 1.4221244e+03, 1.4967584e+02],\n", - " [1.0003121e+03, 8.2854102e+02, 1.1044827e+03, 1.0497946e+03],\n", - " [7.3573090e+02, 6.1689752e+02, 8.1128131e+02, 7.8405237e+02],\n", - " [9.3254138e+02, 5.6082962e+01, 9.9010120e+02, 1.9443886e+02],\n", - " [3.7869892e+01, 1.2190785e+02, 1.0801862e+02, 2.4093883e+02],\n", - " [1.2315298e+03, 8.7420844e+02, 1.3829868e+03, 1.0799940e+03],\n", - " [1.2312664e+03, 7.1908051e+02, 1.3098151e+03, 8.7914545e+02],\n", - " [1.7540610e+03, 9.7539780e+01, 1.8353597e+03, 2.2663864e+02],\n", - " [1.2758314e+03, 1.9098766e+00, 1.3191394e+03, 8.5119270e+01],\n", - " [1.4594524e+03, 9.2738654e+02, 1.6306680e+03, 1.0799796e+03],\n", - " [1.0007133e+03, 6.9418549e+01, 1.0387461e+03, 1.8740034e+02],\n", - " [4.2189929e+02, 4.5600327e+02, 5.0848224e+02, 6.1116254e+02],\n", - " [1.8240060e+03, 8.6714554e+01, 1.8834227e+03, 2.2571417e+02],\n", - " [3.8091586e+02, 4.7627927e+02, 4.5625226e+02, 6.3545929e+02],\n", - " [1.8580645e+03, 1.9464037e+02, 1.9283627e+03, 3.6616586e+02],\n", - " [1.8885420e+03, 6.9907883e+01, 1.9149620e+03, 2.0781651e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5936679 , 0.6292448 , 0.50321406, 0.6808814 , 0.75965166,\n", - " 0.83788425, 0.45932114, 0.5004358 , 0.7318639 , 0.76200515,\n", - " 0.67063355, 0.4091294 , 0.73998934, 0.74436736, 0.6107525 ,\n", - " 0.40179175, 0.73850507, 0.55487645, 0.3481061 , 0.3818239 ,\n", - " 0.33574808, 0.41190904, 0.35393482], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 56, 74, 46, 24, 72]), data={'frame_number': ['271', '271', '271', '271', '271', '271', '271', '271', '271', '271', '271', '271', '271', '271', '271', '271', '271', '271', '271', '271', '271', '271', '271']}),\n", - " Detections(xyxy=array([[1.06682532e+03, 6.96357803e+01, 1.11573511e+03, 1.98318329e+02],\n", - " [1.45132019e+03, 9.56350446e-01, 1.50032092e+03, 1.23753174e+02],\n", - " [1.03331860e+03, 1.74235565e+02, 1.07088330e+03, 2.91469147e+02],\n", - " [1.23783167e+03, 1.38710587e+02, 1.29857886e+03, 2.78108948e+02],\n", - " [7.01528809e+02, 2.35780640e+02, 7.65581787e+02, 4.02314697e+02],\n", - " [9.22615845e+02, 4.12926270e+02, 9.89388245e+02, 5.86579956e+02],\n", - " [1.87849045e+02, 1.45915527e+02, 2.60906281e+02, 2.86997131e+02],\n", - " [1.38176123e+03, 1.60782547e+01, 1.42224072e+03, 1.49944733e+02],\n", - " [9.98963318e+02, 8.34519775e+02, 1.10460266e+03, 1.05817432e+03],\n", 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confidence=array([0.61279607, 0.6596072 , 0.5611257 , 0.6656492 , 0.7464026 ,\n", - " 0.83177394, 0.4110296 , 0.5115249 , 0.6830344 , 0.7111063 ,\n", - " 0.6696274 , 0.40521038, 0.76748586, 0.6456484 , 0.41170692,\n", - " 0.39669636, 0.8064032 , 0.48632464, 0.30705103, 0.34878898,\n", - " 0.4262171 , 0.36007833], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 56, 74, 24, 72]), data={'frame_number': ['272', '272', '272', '272', '272', '272', '272', '272', '272', '272', '272', '272', '272', '272', '272', '272', '272', '272', '272', '272', '272', '272']}),\n", - " Detections(xyxy=array([[1.06595227e+03, 6.92981415e+01, 1.11479089e+03, 1.98057144e+02],\n", - " [1.45041003e+03, 5.08563101e-01, 1.49932056e+03, 1.23339722e+02],\n", - " [1.03250964e+03, 1.72168167e+02, 1.07035120e+03, 2.90308411e+02],\n", - " [1.23883154e+03, 1.38837891e+02, 1.29932983e+03, 2.78013000e+02],\n", - " [7.02929016e+02, 2.35808884e+02, 7.65948303e+02, 4.00930054e+02],\n", - " [9.22063660e+02, 4.17274384e+02, 9.88994080e+02, 5.90968628e+02],\n", - " [1.85750656e+02, 1.47175980e+02, 2.59423645e+02, 2.88992767e+02],\n", - " [1.38149182e+03, 1.60316467e+01, 1.42249622e+03, 1.51358521e+02],\n", - " [9.99186157e+02, 8.40549194e+02, 1.10520947e+03, 1.06376624e+03],\n", - " [7.34639343e+02, 6.09645264e+02, 8.09907654e+02, 7.73831726e+02],\n", - " [9.29793213e+02, 5.92121773e+01, 9.88825317e+02, 2.00577347e+02],\n", - " [3.76183853e+01, 1.22038361e+02, 1.07545822e+02, 2.41746094e+02],\n", - " [1.23127563e+03, 8.65736694e+02, 1.37519922e+03, 1.07178650e+03],\n", - " [1.22995325e+03, 7.26237915e+02, 1.30922058e+03, 8.85064453e+02],\n", - " [1.74635291e+03, 9.98266754e+01, 1.82765637e+03, 2.27979111e+02],\n", - " [1.27410046e+03, 1.02737284e+00, 1.31986096e+03, 8.72741013e+01],\n", - " [1.46138879e+03, 9.16863831e+02, 1.62870386e+03, 1.07810083e+03],\n", - " [1.00081195e+03, 7.21065063e+01, 1.03760010e+03, 1.85682983e+02],\n", - " [4.22042603e+02, 4.57613312e+02, 5.08816132e+02, 6.13115051e+02],\n", - " [1.86097034e+03, 2.01128540e+02, 1.92575781e+03, 3.69649841e+02],\n", - " [1.88482068e+03, 6.53903351e+01, 1.91441528e+03, 2.13052963e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.60620785, 0.70062923, 0.55525285, 0.67810965, 0.71595883,\n", - " 0.81824124, 0.5514551 , 0.5470002 , 0.7464544 , 0.74798167,\n", - " 0.66350776, 0.50121295, 0.7706332 , 0.6614053 , 0.49103594,\n", - " 0.41766378, 0.72147036, 0.463733 , 0.40795264, 0.4133658 ,\n", - " 0.35807264], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 56, 24, 72]), data={'frame_number': ['273', '273', '273', '273', '273', '273', '273', '273', '273', '273', '273', '273', '273', '273', '273', '273', '273', '273', '273', '273', '273']}),\n", - " Detections(xyxy=array([[1.0640464e+03, 6.8573486e+01, 1.1127157e+03, 1.9737610e+02],\n", - " [1.4483240e+03, 3.9329597e-01, 1.4974709e+03, 1.2391039e+02],\n", - " [1.0324891e+03, 1.7079868e+02, 1.0705288e+03, 2.8929990e+02],\n", - " [1.2398553e+03, 1.3501779e+02, 1.3002894e+03, 2.7542200e+02],\n", - " [7.0446399e+02, 2.3326970e+02, 7.6509979e+02, 3.9254559e+02],\n", - " [9.2191150e+02, 4.2275729e+02, 9.8874139e+02, 5.9575983e+02],\n", - " [1.8380208e+02, 1.4891063e+02, 2.5743430e+02, 2.8967642e+02],\n", - " [1.3811736e+03, 1.6670469e+01, 1.4221536e+03, 1.5188570e+02],\n", - " [9.9828107e+02, 8.4855695e+02, 1.1051368e+03, 1.0734962e+03],\n", - " [7.3320850e+02, 6.0523218e+02, 8.1009149e+02, 7.7222107e+02],\n", - " [9.2907843e+02, 6.0794147e+01, 9.8889618e+02, 2.0352139e+02],\n", - " [3.7466145e+01, 1.2204696e+02, 1.0695879e+02, 2.4200050e+02],\n", - " [1.2253219e+03, 8.6351276e+02, 1.3560090e+03, 1.0540963e+03],\n", - " [1.2292626e+03, 7.3542285e+02, 1.3127869e+03, 9.0162384e+02],\n", - " [1.7438735e+03, 9.7620140e+01, 1.8266041e+03, 2.2901790e+02],\n", - " [1.2737017e+03, 1.6066574e+00, 1.3194176e+03, 8.6874756e+01],\n", - " [1.4594761e+03, 9.0769696e+02, 1.6294178e+03, 1.0779783e+03],\n", - " [9.9995105e+02, 7.5162460e+01, 1.0381722e+03, 1.9214792e+02],\n", - " [4.2229358e+02, 4.5861560e+02, 5.0862210e+02, 6.1312329e+02],\n", - " [1.8827579e+03, 6.2257538e+01, 1.9115847e+03, 1.9901605e+02],\n", - " [1.8495553e+03, 1.2596436e+02, 1.9332557e+03, 3.7466638e+02],\n", - " [1.7756484e+03, 4.6111328e+02, 1.8662271e+03, 6.3478961e+02],\n", - " [1.8061147e+03, 6.0596386e+01, 1.8770508e+03, 2.2920764e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6168896 , 0.7402652 , 0.59532887, 0.6874802 , 0.6769689 ,\n", - " 0.8349881 , 0.5516057 , 0.55325276, 0.5872038 , 0.8346382 ,\n", - " 0.7028722 , 0.5255255 , 0.50123286, 0.71328855, 0.6048154 ,\n", - " 0.45420098, 0.70059013, 0.49092275, 0.35524458, 0.34304756,\n", - " 0.4902734 , 0.35082287, 0.33653522], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 56, 72, 64, 13, 74]), data={'frame_number': ['274', '274', '274', '274', '274', '274', '274', '274', '274', '274', '274', '274', '274', '274', '274', '274', '274', '274', '274', '274', '274', '274', '274']}),\n", - " Detections(xyxy=array([[1.06330701e+03, 6.90226364e+01, 1.11131812e+03, 1.97192261e+02],\n", - " [1.44770398e+03, 3.96160156e-01, 1.49669885e+03, 1.23519463e+02],\n", - " [1.03254688e+03, 1.70353363e+02, 1.07052258e+03, 2.89014099e+02],\n", - " [1.24105322e+03, 1.31670303e+02, 1.30114185e+03, 2.72534424e+02],\n", - " [7.06253967e+02, 2.29059570e+02, 7.65584473e+02, 3.85421509e+02],\n", - " [9.20929993e+02, 4.25385498e+02, 9.88223389e+02, 5.99391907e+02],\n", - " [1.82441116e+02, 1.50166885e+02, 2.56701019e+02, 2.91176483e+02],\n", - " [1.38077063e+03, 1.69134541e+01, 1.42164709e+03, 1.52074173e+02],\n", - " [9.97656738e+02, 8.53382324e+02, 1.10408911e+03, 1.07761511e+03],\n", - " [7.32612732e+02, 6.02401367e+02, 8.10908203e+02, 7.71791870e+02],\n", - " [9.29024414e+02, 6.59327545e+01, 9.87421692e+02, 2.04576035e+02],\n", - " [3.75612984e+01, 1.22046478e+02, 1.06580742e+02, 2.42087204e+02],\n", - " [1.22748511e+03, 7.41358765e+02, 1.31431714e+03, 9.13566772e+02],\n", - " [1.74222937e+03, 9.61106949e+01, 1.82463074e+03, 2.27439835e+02],\n", - " [1.27364124e+03, 1.83448374e+00, 1.31909924e+03, 8.60864868e+01],\n", - " [1.45940002e+03, 9.01079529e+02, 1.63026831e+03, 1.07918921e+03],\n", - " [9.99451538e+02, 7.62489014e+01, 1.03856714e+03, 1.95154037e+02],\n", - " [1.85179407e+03, 1.22616386e+02, 1.93150659e+03, 3.76633759e+02],\n", - " [1.77576965e+03, 4.63443787e+02, 1.86551550e+03, 6.35080017e+02],\n", - " [1.80482031e+03, 8.82529144e+01, 1.86254651e+03, 2.26247986e+02],\n", - " [7.52324341e+02, 2.27813892e+01, 7.99581238e+02, 1.22718346e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6012377 , 0.7175323 , 0.56050754, 0.6838207 , 0.66969484,\n", - " 0.86023325, 0.5470509 , 0.53890985, 0.5726536 , 0.81974506,\n", - " 0.6595551 , 0.49807966, 0.5116393 , 0.61254394, 0.41623726,\n", - " 0.67046076, 0.53231615, 0.45410416, 0.36624825, 0.46482566,\n", - " 0.35652786], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 11, 70, 40, 71, 68,\n", - " 64, 13, 74, 57]), data={'frame_number': ['275', '275', '275', '275', '275', '275', '275', '275', '275', '275', '275', '275', '275', '275', '275', '275', '275', '275', '275', '275', '275']}),\n", - " Detections(xyxy=array([[1.0624312e+03, 6.7922615e+01, 1.1114264e+03, 1.9918324e+02],\n", - " [1.4462896e+03, 4.4383511e-01, 1.4950411e+03, 1.2342445e+02],\n", - " [1.0325013e+03, 1.6958900e+02, 1.0705802e+03, 2.8899228e+02],\n", - " [1.2420048e+03, 1.2981944e+02, 1.3009493e+03, 2.6887595e+02],\n", - " [7.0602301e+02, 2.2624884e+02, 7.6465094e+02, 3.8087640e+02],\n", - " [9.2128448e+02, 4.2757727e+02, 9.8858923e+02, 6.0192920e+02],\n", - " [1.8114813e+02, 1.5190228e+02, 2.5463326e+02, 2.9101575e+02],\n", - " [1.3806447e+03, 1.7661909e+01, 1.4214333e+03, 1.5279250e+02],\n", - " [9.9973926e+02, 8.6091968e+02, 1.1040026e+03, 1.0795674e+03],\n", - " [7.3189948e+02, 6.0016187e+02, 8.1107123e+02, 7.7114496e+02],\n", - " [9.2919653e+02, 6.9183968e+01, 9.8669348e+02, 2.0487579e+02],\n", - " [3.7669453e+01, 1.2204295e+02, 1.0636597e+02, 2.4276988e+02],\n", - " [1.2115624e+03, 7.4672998e+02, 1.3268635e+03, 9.8080585e+02],\n", - " [1.7413871e+03, 9.5509865e+01, 1.8225404e+03, 2.2620847e+02],\n", - " [1.2726965e+03, 1.2565905e+00, 1.3185264e+03, 8.5817039e+01],\n", - " [1.4601230e+03, 8.9484589e+02, 1.6304797e+03, 1.0796831e+03],\n", - " [1.0005909e+03, 8.1201408e+01, 1.0393610e+03, 1.9821799e+02],\n", - " [1.8523999e+03, 1.0971912e+02, 1.9317175e+03, 3.7927811e+02],\n", - " [1.7763134e+03, 4.6623032e+02, 1.8654506e+03, 6.3586493e+02],\n", - " [1.8022328e+03, 6.9284012e+01, 1.8660278e+03, 2.2319675e+02],\n", - " [7.5603149e+02, 2.2302526e+01, 8.0119214e+02, 1.2023111e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5913143 , 0.69669276, 0.5543372 , 0.6674589 , 0.74032956,\n", - " 0.862952 , 0.5137191 , 0.5480367 , 0.6730273 , 0.79952884,\n", - " 0.6888976 , 0.42532456, 0.6588578 , 0.64953256, 0.40516818,\n", - " 0.70578146, 0.48899305, 0.4476323 , 0.3136117 , 0.43872297,\n", - " 0.37178493], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 11, 70, 40, 71, 68,\n", - " 64, 13, 74, 57]), data={'frame_number': ['276', '276', '276', '276', '276', '276', '276', '276', '276', '276', '276', '276', '276', '276', '276', '276', '276', '276', '276', '276', '276']}),\n", - " Detections(xyxy=array([[1.06210461e+03, 6.82044830e+01, 1.11084045e+03, 1.98654449e+02],\n", - " [1.44492371e+03, 5.00370145e-01, 1.49335864e+03, 1.22772423e+02],\n", - " [1.03157776e+03, 1.68036469e+02, 1.07017957e+03, 2.89055786e+02],\n", - " [1.24331140e+03, 1.29209763e+02, 1.30056506e+03, 2.64919128e+02],\n", - " [7.05288025e+02, 2.24627762e+02, 7.63613342e+02, 3.77963928e+02],\n", - " [9.22214783e+02, 4.29602264e+02, 9.89228271e+02, 6.03391479e+02],\n", - " [1.79679260e+02, 1.52494370e+02, 2.53579697e+02, 2.92204742e+02],\n", - " [1.38070776e+03, 1.79408855e+01, 1.42124902e+03, 1.52392120e+02],\n", - " [9.99341736e+02, 8.65540405e+02, 1.10252710e+03, 1.08132812e+03],\n", - " [7.31752014e+02, 5.98141724e+02, 8.11692749e+02, 7.70401306e+02],\n", - " [9.29671082e+02, 7.29958878e+01, 9.86041504e+02, 2.04909241e+02],\n", - " [3.77421227e+01, 1.22038811e+02, 1.06254448e+02, 2.43677155e+02],\n", - " [1.20306970e+03, 7.52441223e+02, 1.33069287e+03, 1.01707477e+03],\n", - " [1.74846021e+03, 9.39358215e+01, 1.83139929e+03, 2.25114792e+02],\n", - " [1.27267456e+03, 1.04503393e+00, 1.31795642e+03, 8.44119034e+01],\n", - " [1.45952441e+03, 8.88137756e+02, 1.62955432e+03, 1.07988342e+03],\n", - " [1.00134064e+03, 8.30297470e+01, 1.04002051e+03, 1.99318909e+02],\n", - " [1.80031970e+03, 6.06240234e+01, 1.86586487e+03, 2.18872208e+02],\n", - " [7.59371033e+02, 2.14690971e+01, 8.04296692e+02, 1.20066849e+02],\n", - " [3.34491150e+02, 4.59234070e+02, 3.96761505e+02, 6.10864746e+02],\n", - " [1.85078198e+03, 1.45417038e+02, 1.93526208e+03, 3.81444336e+02],\n", - " [1.87632861e+03, 5.60193748e+01, 1.90716162e+03, 1.90712723e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.545438 , 0.7233019 , 0.6332621 , 0.65217423, 0.7285168 ,\n", - " 0.8654313 , 0.56504595, 0.5626934 , 0.60898846, 0.83482444,\n", - " 0.66174453, 0.47210482, 0.7381563 , 0.6265988 , 0.39590555,\n", - " 0.6914238 , 0.4619347 , 0.31536505, 0.39023143, 0.30893487,\n", - " 0.41405872, 0.39382446], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 11, 70, 40, 71, 68,\n", - " 74, 57, 29, 24, 72]), data={'frame_number': ['277', '277', '277', '277', '277', '277', '277', '277', '277', '277', '277', '277', '277', '277', '277', '277', '277', '277', '277', '277', '277', '277']}),\n", - " Detections(xyxy=array([[ 1.06111890e+03, 6.63844986e+01, 1.11019946e+03,\n", - " 1.97843719e+02],\n", - " [ 1.44357861e+03, -1.05241820e-01, 1.49232874e+03,\n", - " 1.23233032e+02],\n", - " [ 1.03038660e+03, 1.66186935e+02, 1.06955164e+03,\n", - " 2.89139954e+02],\n", - " [ 1.24450549e+03, 1.28406952e+02, 1.30035583e+03,\n", - " 2.60855164e+02],\n", - " [ 7.07056763e+02, 2.22115662e+02, 7.65186890e+02,\n", - " 3.74995880e+02],\n", - " [ 9.23147949e+02, 4.30907959e+02, 9.90189148e+02,\n", - " 6.04446655e+02],\n", - " [ 1.78776672e+02, 1.53984131e+02, 2.52288071e+02,\n", - " 2.92595398e+02],\n", - " [ 1.38074792e+03, 1.80398712e+01, 1.42117102e+03,\n", - " 1.52226822e+02],\n", - " [ 1.00010132e+03, 8.69047119e+02, 1.10240247e+03,\n", - " 1.08175439e+03],\n", - " [ 7.31491882e+02, 5.96196289e+02, 8.12154358e+02,\n", - " 7.70261963e+02],\n", - " [ 9.29342773e+02, 7.63493500e+01, 9.84996094e+02,\n", - " 2.04843033e+02],\n", - " [ 3.78377113e+01, 1.22692131e+02, 1.05488380e+02,\n", - " 2.44010162e+02],\n", - " [ 1.20270752e+03, 7.57168091e+02, 1.33190076e+03,\n", - " 1.03169214e+03],\n", - " [ 1.74392139e+03, 9.46696472e+01, 1.82421045e+03,\n", - " 2.22747238e+02],\n", - " [ 1.27210889e+03, 3.03704232e-01, 1.31693701e+03,\n", - " 8.25747604e+01],\n", - " [ 1.46071387e+03, 8.81869202e+02, 1.62837646e+03,\n", - " 1.07807007e+03],\n", - " [ 1.00157916e+03, 8.36430435e+01, 1.04030212e+03,\n", - " 2.00993408e+02],\n", - " [ 1.79900208e+03, 6.00272217e+01, 1.86468555e+03,\n", - " 2.18009384e+02],\n", - " [ 7.63415344e+02, 2.11627235e+01, 8.09736023e+02,\n", - " 1.21334229e+02],\n", - " [ 1.81079016e+03, 5.72000008e+01, 1.86140979e+03,\n", - " 1.82199997e+02],\n", - " [ 3.36219788e+02, 4.61005646e+02, 3.98168579e+02,\n", - " 6.11693848e+02],\n", - " [ 1.87479419e+03, 5.20057602e+01, 1.90744922e+03,\n", - " 1.84694168e+02],\n", - " [ 1.77742395e+03, 4.70474518e+02, 1.86533301e+03,\n", - " 6.36288330e+02]], dtype=float32), mask=None, confidence=array([0.61862415, 0.7103209 , 0.45512682, 0.6782291 , 0.75205845,\n", - " 0.8527799 , 0.52466965, 0.55507207, 0.64479387, 0.8363645 ,\n", - " 0.6455274 , 0.40812957, 0.6758946 , 0.6454968 , 0.33935732,\n", - " 0.7922429 , 0.42024162, 0.3506587 , 0.36289766, 0.39705908,\n", - " 0.32405937, 0.39587703, 0.40633357], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 11, 70, 40, 71, 68,\n", - " 74, 57, 77, 29, 72, 13]), data={'frame_number': ['278', '278', '278', '278', '278', '278', '278', '278', '278', '278', '278', '278', '278', '278', '278', '278', '278', '278', '278', '278', '278', '278', '278']}),\n", - " Detections(xyxy=array([[ 1.06018726e+03, 6.31036835e+01, 1.10989624e+03,\n", - " 1.96259888e+02],\n", - " [ 1.44133130e+03, -3.04619908e-01, 1.48915649e+03,\n", - " 1.20801003e+02],\n", - " [ 1.02986047e+03, 1.62913940e+02, 1.06938977e+03,\n", - " 2.87257660e+02],\n", - " [ 1.24519934e+03, 1.24841232e+02, 1.30066821e+03,\n", - " 2.56763977e+02],\n", - " [ 7.07500977e+02, 2.18604446e+02, 7.65991211e+02,\n", - " 3.72672546e+02],\n", - " [ 9.23723694e+02, 4.35241577e+02, 9.89648071e+02,\n", - " 6.05362610e+02],\n", - " [ 1.77047806e+02, 1.55150513e+02, 2.50620544e+02,\n", - " 2.94005188e+02],\n", - " [ 1.38163611e+03, 1.74094696e+01, 1.42225916e+03,\n", - " 1.52154480e+02],\n", - " [ 1.00077557e+03, 8.74130859e+02, 1.10131433e+03,\n", - " 1.08168286e+03],\n", - " [ 7.31698975e+02, 5.92297607e+02, 8.13354858e+02,\n", - " 7.69017456e+02],\n", - " [ 9.29269836e+02, 7.68320007e+01, 9.85261963e+02,\n", - " 2.05422928e+02],\n", - " [ 3.78979378e+01, 1.22938087e+02, 1.05174965e+02,\n", - " 2.44782349e+02],\n", - " [ 1.20497913e+03, 7.63909912e+02, 1.33122107e+03,\n", - " 1.03727588e+03],\n", - " [ 1.73996960e+03, 9.36015091e+01, 1.81663013e+03,\n", - " 2.17874756e+02],\n", - " [ 1.27339648e+03, 7.01633751e-01, 1.31771277e+03,\n", - " 8.12515182e+01],\n", - " [ 1.46520581e+03, 8.73874878e+02, 1.63086536e+03,\n", - " 1.07607300e+03],\n", - " [ 1.00305963e+03, 8.71089935e+01, 1.04098511e+03,\n", - " 2.02223434e+02],\n", - " [ 1.79685376e+03, 6.79790344e+01, 1.85809692e+03,\n", - " 2.14472778e+02],\n", - " [ 7.68651245e+02, 2.17064934e+01, 8.16422668e+02,\n", - " 1.23128227e+02],\n", - " [ 1.80704785e+03, 5.55221024e+01, 1.85889819e+03,\n", - " 1.83572830e+02],\n", - " [ 3.35458374e+02, 4.60953796e+02, 3.98023651e+02,\n", - " 6.13960999e+02],\n", - " [ 1.87418640e+03, 5.20249748e+01, 1.90765857e+03,\n", - " 1.78666473e+02],\n", - " [ 1.77635022e+03, 4.75066833e+02, 1.86730432e+03,\n", - " 6.45687500e+02],\n", - " [ 3.77340332e+02, 4.76083618e+02, 4.50921997e+02,\n", - " 6.32229309e+02],\n", - " [ 4.23250153e+02, 4.61831207e+02, 5.07703369e+02,\n", - " 6.12213989e+02]], dtype=float32), mask=None, confidence=array([0.66344666, 0.6182524 , 0.34489775, 0.57876813, 0.6705546 ,\n", - " 0.8307687 , 0.6647757 , 0.5552029 , 0.72763926, 0.82462025,\n", - " 0.6628996 , 0.48239446, 0.6952637 , 0.618901 , 0.30103698,\n", - " 0.8325238 , 0.4867306 , 0.35204905, 0.35332483, 0.38750052,\n", - " 0.3626157 , 0.41023046, 0.7739199 , 0.35327512, 0.3511922 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 11, 70, 40, 71, 68,\n", - " 74, 57, 77, 29, 72, 13, 46, 56]), data={'frame_number': ['279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279', '279']}),\n", - " Detections(xyxy=array([[ 1.05919922e+03, 6.05913277e+01, 1.10914185e+03,\n", - " 1.94385849e+02],\n", - " [ 1.44018079e+03, -3.44047189e-01, 1.48769641e+03,\n", - " 1.19250648e+02],\n", - " [ 1.03060913e+03, 1.61723892e+02, 1.06969885e+03,\n", - " 2.84624176e+02],\n", - " [ 1.24531018e+03, 1.20262856e+02, 1.30156848e+03,\n", - " 2.54014374e+02],\n", - " [ 7.07953247e+02, 2.16715012e+02, 7.66657654e+02,\n", - " 3.71910400e+02],\n", - " [ 9.24525330e+02, 4.39418427e+02, 9.88826294e+02,\n", - " 6.04889526e+02],\n", - " [ 1.76455414e+02, 1.56857635e+02, 2.50015854e+02,\n", - " 2.95804810e+02],\n", - " [ 1.38196460e+03, 1.71667347e+01, 1.42267920e+03,\n", - " 1.52119217e+02],\n", - " [ 1.00405786e+03, 8.79147156e+02, 1.10190308e+03,\n", - " 1.07941882e+03],\n", - " [ 7.32742615e+02, 5.88968384e+02, 8.13513184e+02,\n", - " 7.64065918e+02],\n", - " [ 9.29931396e+02, 7.76055222e+01, 9.86027893e+02,\n", - " 2.06255386e+02],\n", - " [ 3.81019630e+01, 1.23026299e+02, 1.04879509e+02,\n", - " 2.45060867e+02],\n", - " [ 1.21063452e+03, 7.67729004e+02, 1.33126685e+03,\n", - " 1.03453076e+03],\n", - " [ 1.73677112e+03, 9.18517075e+01, 1.81247107e+03,\n", - " 2.16796127e+02],\n", - " [ 1.46792969e+03, 8.66465637e+02, 1.63153308e+03,\n", - " 1.07528687e+03],\n", - " [ 1.00353644e+03, 8.83471069e+01, 1.04131726e+03,\n", - " 2.03280075e+02],\n", - " [ 7.71910645e+02, 2.25715733e+01, 8.20742737e+02,\n", - " 1.23804871e+02],\n", - " [ 1.80216870e+03, 5.72359314e+01, 1.85550378e+03,\n", - " 1.88632782e+02],\n", - " [ 1.77497656e+03, 4.77957977e+02, 1.86898682e+03,\n", - " 6.54187012e+02],\n", - " [-9.95419249e-02, 2.75000000e+02, 3.20995407e+01,\n", - " 4.02799988e+02],\n", - " [ 4.23743103e+02, 4.63475616e+02, 5.06532043e+02,\n", - " 6.09299744e+02]], dtype=float32), mask=None, confidence=array([0.6447871 , 0.6118816 , 0.40237883, 0.61119515, 0.6827208 ,\n", - " 0.81303334, 0.66892684, 0.5472741 , 0.729815 , 0.7717483 ,\n", - " 0.6811501 , 0.4966082 , 0.34999484, 0.6326914 , 0.8236673 ,\n", - " 0.48007566, 0.35447332, 0.46096772, 0.6245624 , 0.39891937,\n", - " 0.30063438], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 11, 70, 71, 68, 57,\n", - " 77, 13, 78, 56]), data={'frame_number': ['280', '280', '280', '280', '280', '280', '280', '280', '280', '280', '280', '280', '280', '280', '280', '280', '280', '280', '280', '280', '280']}),\n", - " Detections(xyxy=array([[ 1.05878430e+03, 5.90300713e+01, 1.10827747e+03,\n", - " 1.91085800e+02],\n", - " [ 1.44023352e+03, -3.31053853e-01, 1.48611548e+03,\n", - " 1.14050728e+02],\n", - " [ 1.03164954e+03, 1.59360062e+02, 1.07039734e+03,\n", - " 2.81034515e+02],\n", - " [ 1.24584961e+03, 1.18630936e+02, 1.30204041e+03,\n", - " 2.51759308e+02],\n", - " [ 7.10241211e+02, 2.16095001e+02, 7.67420959e+02,\n", - " 3.67104279e+02],\n", - " [ 9.25147156e+02, 4.44195618e+02, 9.87498901e+02,\n", - " 6.03902039e+02],\n", - " [ 1.75329391e+02, 1.58768799e+02, 2.49452789e+02,\n", - " 2.99073303e+02],\n", - " [ 1.38130884e+03, 1.77319031e+01, 1.42163586e+03,\n", - " 1.51438614e+02],\n", - " [ 1.00678986e+03, 8.83464172e+02, 1.10331848e+03,\n", - " 1.07971411e+03],\n", - " [ 7.32396240e+02, 5.84538391e+02, 8.13009033e+02,\n", - " 7.59653809e+02],\n", - " [ 9.30288330e+02, 7.98140411e+01, 9.86227966e+02,\n", - " 2.07845062e+02],\n", - " [ 3.84985123e+01, 1.23054489e+02, 1.04453110e+02,\n", - " 2.44492584e+02],\n", - " [ 1.73388464e+03, 8.72179794e+01, 1.81089099e+03,\n", - " 2.16448669e+02],\n", - " [ 1.47026367e+03, 8.61194519e+02, 1.63115576e+03,\n", - " 1.07561853e+03],\n", - " [ 1.00306177e+03, 8.87404327e+01, 1.04074731e+03,\n", - " 2.03616837e+02],\n", - " [ 7.74069641e+02, 2.22391834e+01, 8.23826904e+02,\n", - " 1.23389816e+02],\n", - " [ 1.80206506e+03, 5.78434181e+01, 1.85380957e+03,\n", - " 1.85110565e+02],\n", - " [ 1.77476562e+03, 4.79618011e+02, 1.87061169e+03,\n", - " 6.59912476e+02],\n", - " [-2.10941970e-01, 2.75000000e+02, 3.22109413e+01,\n", - " 4.03723053e+02],\n", - " [ 4.23689178e+02, 4.63338409e+02, 5.07713257e+02,\n", - " 6.11044189e+02],\n", - " [ 3.34755066e+02, 4.60220337e+02, 3.97550232e+02,\n", - " 6.14127808e+02],\n", - " [ 3.74056061e+02, 4.78408875e+02, 4.47273285e+02,\n", - " 6.35983826e+02]], dtype=float32), mask=None, confidence=array([0.6603224 , 0.60075486, 0.35301816, 0.593342 , 0.6781705 ,\n", - " 0.82081693, 0.691399 , 0.55918545, 0.6837019 , 0.8432243 ,\n", - " 0.6689421 , 0.5058117 , 0.6505852 , 0.82463634, 0.4897075 ,\n", - " 0.39415085, 0.51078165, 0.43012527, 0.4023075 , 0.37368143,\n", - " 0.32305646, 0.32214093], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 57, 77,\n", - " 13, 78, 56, 29, 46]), data={'frame_number': ['281', '281', '281', '281', '281', '281', '281', '281', '281', '281', '281', '281', '281', '281', '281', '281', '281', '281', '281', '281', '281', '281']}),\n", - " Detections(xyxy=array([[ 1.05863684e+03, 5.78379974e+01, 1.10732556e+03,\n", - " 1.87232224e+02],\n", - " [ 1.43947827e+03, -2.92864889e-01, 1.48441455e+03,\n", - " 1.10803070e+02],\n", - " [ 1.03165161e+03, 1.55222519e+02, 1.07039050e+03,\n", - " 2.76433136e+02],\n", - " [ 1.24586304e+03, 1.17449257e+02, 1.30237622e+03,\n", - " 2.51021210e+02],\n", - " [ 7.10882019e+02, 2.14639435e+02, 7.69257874e+02,\n", - " 3.69422852e+02],\n", - " [ 9.25672546e+02, 4.47174438e+02, 9.87358643e+02,\n", - " 6.04755737e+02],\n", - " [ 1.75133148e+02, 1.61412323e+02, 2.49086670e+02,\n", - " 3.01568085e+02],\n", - " [ 1.38106177e+03, 1.79439678e+01, 1.42123438e+03,\n", - " 1.51173950e+02],\n", - " [ 1.00580951e+03, 8.88204895e+02, 1.10176013e+03,\n", - " 1.08102380e+03],\n", - " [ 7.32147827e+02, 5.79695740e+02, 8.12940247e+02,\n", - " 7.56128479e+02],\n", - " [ 9.30240662e+02, 8.05670090e+01, 9.86500488e+02,\n", - " 2.09720322e+02],\n", - " [ 3.87835274e+01, 1.23059906e+02, 1.04161652e+02,\n", - " 2.44262268e+02],\n", - " [ 1.72990271e+03, 8.41993942e+01, 1.80749158e+03,\n", - " 2.15701126e+02],\n", - " [ 1.47366064e+03, 8.58051147e+02, 1.62977673e+03,\n", - " 1.07512537e+03],\n", - " [ 1.00250867e+03, 9.01444321e+01, 1.03956348e+03,\n", - " 2.03022675e+02],\n", - " [ 7.74978882e+02, 2.21088428e+01, 8.25292358e+02,\n", - " 1.24541504e+02],\n", - " [ 1.80156213e+03, 5.65831375e+01, 1.85258740e+03,\n", - " 1.82284393e+02],\n", - " [ 1.77533374e+03, 4.83411865e+02, 1.87123071e+03,\n", - " 6.63936890e+02],\n", - " [-5.52217811e-02, 2.76548767e+02, 3.20552216e+01,\n", - " 4.04033936e+02],\n", - " [ 4.23624512e+02, 4.63277191e+02, 5.08184448e+02,\n", - " 6.11674622e+02],\n", - " [ 3.34261749e+02, 4.59424988e+02, 3.97109222e+02,\n", - " 6.13405273e+02],\n", - " [ 1.18359106e+03, 8.55971252e+02, 1.30269495e+03,\n", - " 1.03081592e+03],\n", - " [ 1.23317065e+03, 7.75794861e+02, 1.31979968e+03,\n", - " 9.63191467e+02]], dtype=float32), mask=None, confidence=array([0.68092895, 0.59602815, 0.51832485, 0.60622394, 0.692591 ,\n", - " 0.82478184, 0.65289426, 0.5611125 , 0.7242483 , 0.8131311 ,\n", - " 0.65193474, 0.5429531 , 0.6109417 , 0.84086764, 0.4598117 ,\n", - " 0.33136904, 0.50036454, 0.6048397 , 0.42631263, 0.30852494,\n", - " 0.319769 , 0.3580402 , 0.5456204 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 57, 77,\n", - " 13, 78, 56, 29, 69, 11]), data={'frame_number': ['282', '282', '282', '282', '282', '282', '282', '282', '282', '282', '282', '282', '282', '282', '282', '282', '282', '282', '282', '282', '282', '282', '282']}),\n", - " Detections(xyxy=array([[1.05760571e+03, 5.47892685e+01, 1.10599463e+03, 1.83180115e+02],\n", - " [1.43828625e+03, 4.19140995e-01, 1.48143958e+03, 1.06981987e+02],\n", - " [1.03262402e+03, 1.54399826e+02, 1.07007544e+03, 2.70804291e+02],\n", - " [1.24602942e+03, 1.17750587e+02, 1.30231116e+03, 2.50840668e+02],\n", - " [7.11450867e+02, 2.14157913e+02, 7.70233582e+02, 3.70332794e+02],\n", - " [9.24233215e+02, 4.48813629e+02, 9.87581299e+02, 6.11018433e+02],\n", - " [1.74682556e+02, 1.64996902e+02, 2.47425537e+02, 3.02448853e+02],\n", - " [1.38097314e+03, 1.80196152e+01, 1.42108264e+03, 1.51072052e+02],\n", - " [1.00627185e+03, 8.93776672e+02, 1.10101196e+03, 1.08136658e+03],\n", - " [7.34132629e+02, 5.76676758e+02, 8.13471802e+02, 7.50309448e+02],\n", - " [9.30151917e+02, 8.14454193e+01, 9.87344604e+02, 2.13682877e+02],\n", - " [3.84233284e+01, 1.22396713e+02, 1.03862885e+02, 2.44826004e+02],\n", - " [1.72636487e+03, 8.37318649e+01, 1.80386938e+03, 2.16123886e+02],\n", - " [1.47719934e+03, 8.55127136e+02, 1.62764099e+03, 1.07301880e+03],\n", - " [1.00228156e+03, 9.12664108e+01, 1.03911951e+03, 2.02736221e+02],\n", - " [1.79830835e+03, 5.61478767e+01, 1.84976624e+03, 1.82729401e+02],\n", - " [1.77791870e+03, 4.88699036e+02, 1.86843311e+03, 6.57458069e+02],\n", - " [2.67589092e-01, 2.78542664e+02, 3.17324104e+01, 4.03350403e+02],\n", - " [1.87159509e+03, 9.58000031e+01, 1.91860498e+03, 2.67799988e+02],\n", - " [1.17255273e+03, 8.30301208e+02, 1.30379980e+03, 1.02931909e+03],\n", - " [1.24025916e+03, 7.80181152e+02, 1.31538013e+03, 9.38023926e+02],\n", - " [1.78550439e+03, 6.01603737e+01, 1.84397388e+03, 1.97029190e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7238507 , 0.567017 , 0.44323573, 0.6328198 , 0.65187716,\n", - " 0.821056 , 0.56409156, 0.59429705, 0.7268446 , 0.8237122 ,\n", - " 0.6564201 , 0.5368925 , 0.59623295, 0.8320104 , 0.46908656,\n", - " 0.4767055 , 0.6611566 , 0.45860383, 0.425913 , 0.59442466,\n", - " 0.6437538 , 0.35461017], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13,\n", - " 78, 79, 69, 11, 74]), data={'frame_number': ['283', '283', '283', '283', '283', '283', '283', '283', '283', '283', '283', '283', '283', '283', '283', '283', '283', '283', '283', '283', '283', '283']}),\n", - " Detections(xyxy=array([[1.05673486e+03, 5.03879013e+01, 1.10536621e+03, 1.79079315e+02],\n", - " [1.43746069e+03, 2.18330864e-02, 1.48086560e+03, 1.06348930e+02],\n", - " [1.03397461e+03, 1.54190994e+02, 1.07031531e+03, 2.66760254e+02],\n", - " [1.24517798e+03, 1.16622856e+02, 1.30184399e+03, 2.50869751e+02],\n", - " [7.13561890e+02, 2.12739944e+02, 7.70649536e+02, 3.64183105e+02],\n", - " [9.24177185e+02, 4.53946289e+02, 9.88500793e+02, 6.19182556e+02],\n", - " [1.72679749e+02, 1.66948212e+02, 2.46716003e+02, 3.08029175e+02],\n", - " [1.38085889e+03, 1.80437698e+01, 1.42111157e+03, 1.51694275e+02],\n", - " [1.00861682e+03, 9.03042358e+02, 1.10057837e+03, 1.08135071e+03],\n", - " [7.36056213e+02, 5.71708130e+02, 8.11188660e+02, 7.35633850e+02],\n", - " [9.29996277e+02, 8.17203140e+01, 9.88446594e+02, 2.18406067e+02],\n", - " [3.83218918e+01, 1.22802017e+02, 1.03062614e+02, 2.45030121e+02],\n", - " [1.72086255e+03, 8.42504425e+01, 1.79834998e+03, 2.16334061e+02],\n", - " [1.47977563e+03, 8.48413635e+02, 1.62557458e+03, 1.06833630e+03],\n", - " [1.00184302e+03, 9.36212006e+01, 1.03930396e+03, 2.05253693e+02],\n", - " [1.79626758e+03, 5.53078423e+01, 1.84775671e+03, 1.82200638e+02],\n", - " [1.78053564e+03, 4.93273895e+02, 1.86637964e+03, 6.50645813e+02],\n", - " [4.44902241e-01, 2.79885254e+02, 3.15550976e+01, 4.03108765e+02],\n", - " [1.87435059e+03, 1.03661888e+02, 1.91723682e+03, 2.60246429e+02],\n", - " [1.16342871e+03, 8.17669128e+02, 1.29387732e+03, 1.02225922e+03],\n", - " [1.24659546e+03, 7.88758850e+02, 1.32307715e+03, 9.50996826e+02],\n", - " [1.85906018e+03, 4.65034523e+01, 1.89708679e+03, 1.77055496e+02],\n", - " [3.32429596e+02, 4.59872437e+02, 3.94649902e+02, 6.11540527e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7842919 , 0.58076507, 0.45231172, 0.6084843 , 0.653548 ,\n", - " 0.8091359 , 0.6846626 , 0.55173457, 0.6698526 , 0.8084432 ,\n", - " 0.6650962 , 0.5375114 , 0.6925787 , 0.8295617 , 0.5114152 ,\n", - " 0.51344454, 0.59732336, 0.43405783, 0.34811354, 0.84137094,\n", - " 0.7836703 , 0.5801007 , 0.3042305 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13,\n", - " 78, 79, 69, 11, 72, 29]), data={'frame_number': ['284', '284', '284', '284', '284', '284', '284', '284', '284', '284', '284', '284', '284', '284', '284', '284', '284', '284', '284', '284', '284', '284', '284']}),\n", - " Detections(xyxy=array([[ 1.05639648e+03, 4.81438789e+01, 1.10519141e+03,\n", - " 1.76957993e+02],\n", - " [ 1.43654785e+03, 5.63633442e-01, 1.48001758e+03,\n", - " 1.06183334e+02],\n", - " [ 1.03510559e+03, 1.53516632e+02, 1.07111108e+03,\n", - " 2.64705994e+02],\n", - " [ 1.24423315e+03, 1.14284363e+02, 1.30161328e+03,\n", - " 2.50954147e+02],\n", - " [ 7.13724915e+02, 2.10958710e+02, 7.70733826e+02,\n", - " 3.61927917e+02],\n", - " [ 9.23985107e+02, 4.56437927e+02, 9.89012024e+02,\n", - " 6.24155884e+02],\n", - " [ 1.71027451e+02, 1.69589325e+02, 2.44793564e+02,\n", - " 3.10698639e+02],\n", - " [ 1.38194080e+03, 1.73886108e+01, 1.42198364e+03,\n", - " 1.49945908e+02],\n", - " [ 1.00977014e+03, 9.11653442e+02, 1.09942969e+03,\n", - " 1.08119922e+03],\n", - " [ 7.37958862e+02, 5.67317383e+02, 8.11173401e+02,\n", - " 7.26212280e+02],\n", - " [ 9.29629456e+02, 8.24252090e+01, 9.88524963e+02,\n", - " 2.21449265e+02],\n", - " [ 3.77839394e+01, 1.22955154e+02, 1.01944420e+02,\n", - " 2.45097214e+02],\n", - " [ 1.71827417e+03, 8.31630859e+01, 1.79768604e+03,\n", - " 2.17116409e+02],\n", - " [ 1.48156519e+03, 8.40845276e+02, 1.62394470e+03,\n", - " 1.06459717e+03],\n", - " [ 1.00199890e+03, 9.51020584e+01, 1.04038098e+03,\n", - " 2.08142731e+02],\n", - " [ 1.79427966e+03, 5.22773628e+01, 1.84640967e+03,\n", - " 1.80646255e+02],\n", - " [ 1.77670532e+03, 4.96845032e+02, 1.87244812e+03,\n", - " 6.73322815e+02],\n", - " [-1.68737154e-02, 2.79570282e+02, 3.13031330e+01,\n", - " 4.03739655e+02],\n", - " [ 1.87424841e+03, 1.01350105e+02, 1.91697900e+03,\n", - " 2.56951355e+02],\n", - " [ 1.15943457e+03, 8.08264648e+02, 1.28818433e+03,\n", - " 1.01762579e+03],\n", - " [ 1.25027271e+03, 7.96231506e+02, 1.32768848e+03,\n", - " 9.61713989e+02],\n", - " [ 1.87196533e+03, 2.71399994e+02, 1.91963464e+03,\n", - " 3.92600006e+02],\n", - " [ 1.85492664e+03, 4.55817261e+01, 1.89650671e+03,\n", - " 1.78644989e+02]], dtype=float32), mask=None, confidence=array([0.73274547, 0.5497664 , 0.4907161 , 0.6125535 , 0.65158546,\n", - " 0.8242486 , 0.6844625 , 0.5451786 , 0.6499979 , 0.7544931 ,\n", - " 0.6212732 , 0.5725406 , 0.66340715, 0.81715846, 0.465194 ,\n", - " 0.54569757, 0.6382445 , 0.3442204 , 0.38104525, 0.81308615,\n", - " 0.74057996, 0.3847067 , 0.60426676], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13,\n", - " 78, 79, 69, 11, 82, 72]), data={'frame_number': ['285', '285', '285', '285', '285', '285', '285', '285', '285', '285', '285', '285', '285', '285', '285', '285', '285', '285', '285', '285', '285', '285', '285']}),\n", - " Detections(xyxy=array([[1.05636877e+03, 4.73747215e+01, 1.10507617e+03, 1.75582077e+02],\n", - " [1.43531628e+03, 1.44960761e+00, 1.47869141e+03, 1.06196754e+02],\n", - " [1.03595276e+03, 1.52658295e+02, 1.07162476e+03, 2.62709259e+02],\n", - " [1.24399670e+03, 1.10837402e+02, 1.30204834e+03, 2.49736725e+02],\n", - " [7.13754944e+02, 2.07705627e+02, 7.72086426e+02, 3.62505188e+02],\n", - " [9.24211182e+02, 4.59232269e+02, 9.90208984e+02, 6.29863342e+02],\n", - " [1.69988647e+02, 1.71182159e+02, 2.43887848e+02, 3.12951385e+02],\n", - " [1.38129846e+03, 1.77996101e+01, 1.42138196e+03, 1.51269821e+02],\n", - " [1.01024243e+03, 9.17912781e+02, 1.09893872e+03, 1.08103113e+03],\n", - " [7.38014465e+02, 5.63842285e+02, 8.11119995e+02, 7.21637573e+02],\n", - " [9.30054199e+02, 8.32920151e+01, 9.89293701e+02, 2.24503952e+02],\n", - " [3.73505707e+01, 1.23010452e+02, 1.01102005e+02, 2.45112976e+02],\n", - " [1.71494373e+03, 8.27796783e+01, 1.79477075e+03, 2.17438583e+02],\n", - " [1.48477026e+03, 8.36170471e+02, 1.62076672e+03, 1.05802014e+03],\n", - " [1.00146008e+03, 9.62587051e+01, 1.04071924e+03, 2.10501129e+02],\n", - " [1.79214514e+03, 5.05075989e+01, 1.84411267e+03, 1.78061996e+02],\n", - " [1.77609241e+03, 4.99404144e+02, 1.87447034e+03, 6.81712280e+02],\n", - " [5.46151161e-01, 2.79418976e+02, 3.18846970e+01, 4.03262268e+02],\n", - " [1.87321948e+03, 8.98854599e+01, 1.91865308e+03, 2.55419800e+02],\n", - " [1.15790344e+03, 8.02209229e+02, 1.27992139e+03, 1.00687152e+03],\n", - " [1.25124890e+03, 8.02674133e+02, 1.33019446e+03, 9.72332520e+02],\n", - " [1.87369812e+03, 2.75725464e+02, 1.91975562e+03, 3.92908966e+02],\n", - " [1.85201013e+03, 4.46081657e+01, 1.89649243e+03, 1.78532257e+02],\n", - " [3.31451813e+02, 4.59182037e+02, 3.94507385e+02, 6.11061157e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.74805355, 0.5362654 , 0.46708155, 0.61099476, 0.7201681 ,\n", - " 0.8132958 , 0.7162826 , 0.52761483, 0.67954046, 0.7445544 ,\n", - " 0.61924124, 0.5849362 , 0.6591198 , 0.82906544, 0.45150104,\n", - " 0.4830947 , 0.5877059 , 0.4210905 , 0.30748492, 0.685263 ,\n", - " 0.66525185, 0.46324658, 0.5165492 , 0.30674604], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13,\n", - " 78, 79, 69, 11, 82, 72, 29]), data={'frame_number': ['286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286', '286']}),\n", - " Detections(xyxy=array([[1.05624841e+03, 4.65010910e+01, 1.10519153e+03, 1.74487976e+02],\n", - " [1.43439783e+03, 1.78598177e+00, 1.47742603e+03, 1.04924164e+02],\n", - " [1.03633240e+03, 1.53073654e+02, 1.07172681e+03, 2.62075012e+02],\n", - " [1.24385632e+03, 1.07626633e+02, 1.30225427e+03, 2.48024521e+02],\n", - " [7.15001404e+02, 2.04580978e+02, 7.73949463e+02, 3.60813812e+02],\n", - " [9.24921631e+02, 4.63455200e+02, 9.89373657e+02, 6.29945496e+02],\n", - " [1.69559509e+02, 1.73030411e+02, 2.43003067e+02, 3.14382599e+02],\n", - " [1.38120459e+03, 1.86124020e+01, 1.42100830e+03, 1.51767639e+02],\n", - " [1.01128284e+03, 9.24001587e+02, 1.09856421e+03, 1.07950598e+03],\n", - " [7.37378418e+02, 5.60025940e+02, 8.11747559e+02, 7.20156555e+02],\n", - " [9.30260498e+02, 8.42263489e+01, 9.89545776e+02, 2.26903732e+02],\n", - " [3.72985611e+01, 1.23028481e+02, 1.00687828e+02, 2.45110168e+02],\n", - " [1.71352771e+03, 8.33217468e+01, 1.79275305e+03, 2.15617279e+02],\n", - " [1.48773242e+03, 8.29396545e+02, 1.61777161e+03, 1.04897595e+03],\n", - " [1.00092365e+03, 9.66346817e+01, 1.04183350e+03, 2.15294922e+02],\n", - " [1.78954871e+03, 4.98810425e+01, 1.84186926e+03, 1.77789719e+02],\n", - " [1.77731873e+03, 5.02212311e+02, 1.87507507e+03, 6.84229675e+02],\n", - " [2.44752631e-01, 2.80701935e+02, 3.19171104e+01, 4.05835236e+02],\n", - " [1.87462317e+03, 1.00478600e+02, 1.91744592e+03, 2.55731018e+02],\n", - " [1.15721313e+03, 7.96830383e+02, 1.26947339e+03, 9.91629395e+02],\n", - " [1.23696753e+03, 8.08761780e+02, 1.32055908e+03, 9.80808533e+02],\n", - " [1.87581982e+03, 2.79531647e+02, 1.92062366e+03, 3.93803467e+02],\n", - " [1.84932458e+03, 4.43000412e+01, 1.89623547e+03, 1.79181427e+02],\n", - " [3.30925354e+02, 4.59014893e+02, 3.94860504e+02, 6.11667114e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7227283 , 0.5731854 , 0.36314553, 0.6164743 , 0.70675397,\n", - " 0.8007473 , 0.70452833, 0.53840685, 0.5714794 , 0.7851677 ,\n", - " 0.6524463 , 0.568401 , 0.56432956, 0.8467449 , 0.4643511 ,\n", - " 0.46718505, 0.62380564, 0.4966913 , 0.3422796 , 0.55263484,\n", - " 0.5861473 , 0.42149928, 0.5163324 , 0.31448013], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13,\n", - " 78, 79, 69, 11, 82, 72, 29]), data={'frame_number': ['287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287', '287']}),\n", - " Detections(xyxy=array([[ 1.0556373e+03, 4.5580250e+01, 1.1051792e+03, 1.7481918e+02],\n", - " [ 1.4331752e+03, 1.9144924e+00, 1.4759309e+03, 1.0384162e+02],\n", - " [ 1.0365385e+03, 1.5194469e+02, 1.0723452e+03, 2.6194064e+02],\n", - " [ 1.2450159e+03, 1.0647563e+02, 1.3024199e+03, 2.4415643e+02],\n", - " [ 7.1516455e+02, 2.0215195e+02, 7.7427258e+02, 3.5827591e+02],\n", - " [ 9.2529010e+02, 4.6758212e+02, 9.9026373e+02, 6.3576617e+02],\n", - " [ 1.6989391e+02, 1.7497653e+02, 2.4225537e+02, 3.1483987e+02],\n", - " [ 1.3812186e+03, 1.8917473e+01, 1.4208196e+03, 1.5195410e+02],\n", - " [ 1.0119368e+03, 9.2933606e+02, 1.0988240e+03, 1.0795685e+03],\n", - " [ 7.3694855e+02, 5.5741388e+02, 8.1216656e+02, 7.1911163e+02],\n", - " [ 9.3126404e+02, 8.5840942e+01, 9.9002020e+02, 2.2839629e+02],\n", - " [ 3.7382175e+01, 1.2303255e+02, 1.0044685e+02, 2.4510123e+02],\n", - " [ 1.7120286e+03, 8.2235504e+01, 1.7925813e+03, 2.1495129e+02],\n", - " [ 1.4918304e+03, 8.2375446e+02, 1.6136256e+03, 1.0350920e+03],\n", - " [ 1.0000254e+03, 9.8035553e+01, 1.0422950e+03, 2.1965770e+02],\n", - " [ 1.7862336e+03, 4.7005989e+01, 1.8395344e+03, 1.7704716e+02],\n", - " [ 1.7785742e+03, 5.0447266e+02, 1.8758141e+03, 6.8630096e+02],\n", - " [-2.5307931e-02, 2.8181851e+02, 3.2086662e+01, 4.0879639e+02],\n", - " [ 1.1558419e+03, 7.9172229e+02, 1.2625125e+03, 9.8270404e+02],\n", - " [ 1.2462166e+03, 8.1405280e+02, 1.3291819e+03, 9.8512128e+02],\n", - " [ 1.8762784e+03, 2.7900174e+02, 1.9217596e+03, 3.9558905e+02],\n", - " [ 1.8479713e+03, 4.4898205e+01, 1.8959508e+03, 1.7814932e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.72600293, 0.5700871 , 0.3223112 , 0.5836304 , 0.70740706,\n", - " 0.76792395, 0.62557423, 0.53658 , 0.5851464 , 0.78473985,\n", - " 0.65271 , 0.5624038 , 0.61440474, 0.8352896 , 0.49029294,\n", - " 0.48111635, 0.722106 , 0.43794897, 0.65305805, 0.6977673 ,\n", - " 0.44374803, 0.5192185 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13,\n", - " 78, 69, 11, 82, 72]), data={'frame_number': ['288', '288', '288', '288', '288', '288', '288', '288', '288', '288', '288', '288', '288', '288', '288', '288', '288', '288', '288', '288', '288', '288']}),\n", - " Detections(xyxy=array([[ 1.05479810e+03, 4.39752502e+01, 1.10515869e+03,\n", - " 1.75009521e+02],\n", - " [ 1.43198315e+03, 2.63580585e+00, 1.47420667e+03,\n", - " 1.02827324e+02],\n", - " [ 1.24617993e+03, 1.03483185e+02, 1.30241577e+03,\n", - " 2.37447128e+02],\n", - " [ 7.16807068e+02, 1.98015015e+02, 7.75400818e+02,\n", - " 3.50793640e+02],\n", - " [ 9.25618835e+02, 4.70332092e+02, 9.92364685e+02,\n", - " 6.44406433e+02],\n", - " [ 1.70731720e+02, 1.78285889e+02, 2.41345291e+02,\n", - " 3.14927856e+02],\n", - " [ 1.38202344e+03, 1.90268002e+01, 1.42193689e+03,\n", - " 1.52020584e+02],\n", - " [ 1.01256543e+03, 9.38554199e+02, 1.09711804e+03,\n", - " 1.07884375e+03],\n", - " [ 7.35948547e+02, 5.52601624e+02, 8.13154236e+02,\n", - " 7.18900757e+02],\n", - " [ 9.33637939e+02, 9.03428345e+01, 9.90175171e+02,\n", - " 2.27569473e+02],\n", - " [ 3.75078812e+01, 1.23031563e+02, 1.00280121e+02,\n", - " 2.45090836e+02],\n", - " [ 1.70540698e+03, 8.11914215e+01, 1.78492065e+03,\n", - " 2.12747421e+02],\n", - " [ 1.49617188e+03, 8.14577698e+02, 1.60856177e+03,\n", - " 1.01259943e+03],\n", - " [ 1.00062152e+03, 1.01124603e+02, 1.04282544e+03,\n", - " 2.21924545e+02],\n", - " [ 1.78298560e+03, 4.46408348e+01, 1.83552136e+03,\n", - " 1.72153473e+02],\n", - " [ 1.78109790e+03, 5.07184906e+02, 1.87730078e+03,\n", - " 6.86920654e+02],\n", - " [-1.21859111e-01, 2.84882111e+02, 3.28152161e+01,\n", - " 4.15231903e+02],\n", - " [ 1.15556506e+03, 7.83364075e+02, 1.25746301e+03,\n", - " 9.70272827e+02],\n", - " [ 1.25131787e+03, 8.21070374e+02, 1.33273474e+03,\n", - " 9.88539001e+02],\n", - " [ 1.87604797e+03, 2.78743774e+02, 1.92387390e+03,\n", - " 4.02643707e+02],\n", - " [ 1.84519519e+03, 4.38706436e+01, 1.89363464e+03,\n", - " 1.75804321e+02],\n", - " [ 7.96301941e+02, 2.01919670e+01, 8.43002808e+02,\n", - " 1.20345573e+02]], dtype=float32), mask=None, confidence=array([0.71579033, 0.5898619 , 0.64411724, 0.7741097 , 0.7313834 ,\n", - " 0.61792207, 0.5725007 , 0.41680464, 0.8301995 , 0.69057995,\n", - " 0.5313982 , 0.59224796, 0.8255828 , 0.46624723, 0.45985252,\n", - " 0.6741135 , 0.43176585, 0.6284445 , 0.8047466 , 0.51641315,\n", - " 0.54944456, 0.40683392], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13, 78,\n", - " 69, 11, 82, 72, 57]), data={'frame_number': ['289', '289', '289', '289', '289', '289', '289', '289', '289', '289', '289', '289', '289', '289', '289', '289', '289', '289', '289', '289', '289', '289']}),\n", - " Detections(xyxy=array([[1.05446228e+03, 4.34266891e+01, 1.10520276e+03, 1.75140930e+02],\n", - " [1.43173059e+03, 3.57606459e+00, 1.47281750e+03, 1.00490341e+02],\n", - " [1.24727625e+03, 9.97774124e+01, 1.30307422e+03, 2.32340012e+02],\n", - " [7.18081848e+02, 1.95877365e+02, 7.76453186e+02, 3.46715881e+02],\n", - " [9.25919739e+02, 4.73878510e+02, 9.92313477e+02, 6.48207153e+02],\n", - " [1.70336517e+02, 1.79447540e+02, 2.41128159e+02, 3.16212463e+02],\n", - " [1.38215723e+03, 1.90618839e+01, 1.42253003e+03, 1.52702850e+02],\n", - " [1.01172626e+03, 9.45701477e+02, 1.09544287e+03, 1.07921997e+03],\n", - " [7.35347778e+02, 5.50254272e+02, 8.13744751e+02, 7.19607605e+02],\n", - " [9.34724915e+02, 9.20038071e+01, 9.90712585e+02, 2.27808777e+02],\n", - " [3.75038376e+01, 1.23028931e+02, 9.96251602e+01, 2.44420242e+02],\n", - " [1.70220825e+03, 7.94984894e+01, 1.77964709e+03, 2.08630753e+02],\n", - " [1.49824377e+03, 8.08734985e+02, 1.60617859e+03, 1.00159814e+03],\n", - " [1.00071582e+03, 1.04228989e+02, 1.04250671e+03, 2.22708023e+02],\n", - " [1.78252319e+03, 4.37949562e+01, 1.83410242e+03, 1.68312073e+02],\n", - " [1.78390063e+03, 5.10072693e+02, 1.87862585e+03, 6.86982361e+02],\n", - " [7.54006431e-02, 2.90629913e+02, 3.21909180e+01, 4.17600220e+02],\n", - " [1.15517224e+03, 7.78483765e+02, 1.25366272e+03, 9.63891479e+02],\n", - " [1.25444177e+03, 8.26716797e+02, 1.33404175e+03, 9.89594604e+02],\n", - " [1.87540674e+03, 2.77920837e+02, 1.92442334e+03, 4.06399994e+02],\n", - " [1.84342871e+03, 4.35331230e+01, 1.89229431e+03, 1.74289795e+02],\n", - " [7.98519409e+02, 1.79471207e+01, 8.43747131e+02, 1.19326836e+02],\n", - " [1.87276819e+03, 1.09767220e+02, 1.91397363e+03, 2.55589432e+02],\n", - " [3.29784332e+02, 4.58956787e+02, 3.93381500e+02, 6.10232544e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6238756 , 0.5017061 , 0.64640856, 0.7091575 , 0.7916752 ,\n", - " 0.64150584, 0.5786155 , 0.4945961 , 0.84539294, 0.6468532 ,\n", - " 0.5065993 , 0.6421196 , 0.77313215, 0.5550496 , 0.5081122 ,\n", - " 0.6156207 , 0.4628082 , 0.53335106, 0.7642391 , 0.5524967 ,\n", - " 0.6204919 , 0.42865542, 0.3254962 , 0.30691195], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 34, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13, 78,\n", - " 69, 11, 82, 72, 57, 79, 29]), data={'frame_number': ['290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290', '290']}),\n", - " Detections(xyxy=array([[1.05383716e+03, 4.19653511e+01, 1.10509473e+03, 1.74591339e+02],\n", - " [1.43094263e+03, 3.24069786e+00, 1.47176428e+03, 9.90132065e+01],\n", - " [1.24841687e+03, 9.71532211e+01, 1.30389685e+03, 2.28542526e+02],\n", - " [7.19941528e+02, 1.95171967e+02, 7.78068787e+02, 3.43968536e+02],\n", - " [9.26929993e+02, 4.76420532e+02, 9.92681885e+02, 6.48841431e+02],\n", - " [1.69383713e+02, 1.79810181e+02, 2.39919174e+02, 3.15968262e+02],\n", - " [1.38213452e+03, 1.90695305e+01, 1.42282166e+03, 1.52955536e+02],\n", - " [1.01196942e+03, 9.49273438e+02, 1.09643054e+03, 1.07931055e+03],\n", - " [7.35140076e+02, 5.48187378e+02, 8.13942322e+02, 7.19365784e+02],\n", - " [9.33830994e+02, 9.18978882e+01, 9.90196838e+02, 2.28501114e+02],\n", - " [3.82537460e+01, 1.23025826e+02, 9.99665909e+01, 2.44161331e+02],\n", - " [1.70103809e+03, 7.68927383e+01, 1.77792151e+03, 2.05789169e+02],\n", - " [1.49851355e+03, 8.02132263e+02, 1.60645032e+03, 9.97143860e+02],\n", - " [1.00112451e+03, 1.06002464e+02, 1.04266650e+03, 2.23577133e+02],\n", - " [1.78144824e+03, 4.35358124e+01, 1.83266650e+03, 1.66263474e+02],\n", - " [1.78566919e+03, 5.11703613e+02, 1.87902698e+03, 6.85523010e+02],\n", - " [6.62440240e-01, 2.95464844e+02, 3.21061516e+01, 4.19093384e+02],\n", - " [1.15692798e+03, 7.74897461e+02, 1.25408789e+03, 9.64452271e+02],\n", - " [1.25743823e+03, 8.31858704e+02, 1.33523108e+03, 9.89787354e+02],\n", - " [1.87489221e+03, 2.72834045e+02, 1.92617163e+03, 4.09708069e+02],\n", - " [1.84040002e+03, 4.14654732e+01, 1.89098193e+03, 1.73757614e+02],\n", - " [8.03321228e+02, 1.92151146e+01, 8.46620850e+02, 1.18996162e+02],\n", - " [1.87284644e+03, 1.10897934e+02, 1.91461157e+03, 2.55816711e+02],\n", - " [3.30579071e+02, 4.58969574e+02, 3.95008026e+02, 6.10695129e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.52399224, 0.51415694, 0.6896253 , 0.7112651 , 0.83052075,\n", - " 0.689974 , 0.5941307 , 0.62127614, 0.8189503 , 0.64427507,\n", - " 0.48684317, 0.622623 , 0.8072332 , 0.5126571 , 0.47138128,\n", - " 0.71494657, 0.49096468, 0.552103 , 0.77711695, 0.45576674,\n", - " 0.5647176 , 0.3570146 , 0.35396942, 0.31092465], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 34, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13, 78,\n", - " 69, 11, 82, 72, 57, 79, 29]), data={'frame_number': ['291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291', '291']}),\n", - " Detections(xyxy=array([[1.05475049e+03, 4.14672318e+01, 1.10393506e+03, 1.67856430e+02],\n", - " [1.43034106e+03, 3.11384010e+00, 1.47111389e+03, 9.85317001e+01],\n", - " [1.25058826e+03, 9.55989075e+01, 1.30576318e+03, 2.26566574e+02],\n", - " [7.19552490e+02, 1.93001236e+02, 7.78359192e+02, 3.43055908e+02],\n", - " [9.28551331e+02, 4.79231323e+02, 9.93540649e+02, 6.48909790e+02],\n", - " [1.69565460e+02, 1.80533340e+02, 2.39651428e+02, 3.15811340e+02],\n", - " [1.38215454e+03, 1.90670357e+01, 1.42289636e+03, 1.53044693e+02],\n", - " [1.01442993e+03, 9.53031128e+02, 1.09926025e+03, 1.08000562e+03],\n", - " [7.35927673e+02, 5.46222473e+02, 8.14456726e+02, 7.18088074e+02],\n", - " [9.33164307e+02, 9.31251907e+01, 9.88998718e+02, 2.28044205e+02],\n", - " [3.86165924e+01, 1.23022903e+02, 1.00029388e+02, 2.44062073e+02],\n", - " [1.70075354e+03, 7.39648895e+01, 1.77737048e+03, 2.03452927e+02],\n", - " [1.49855615e+03, 8.00567749e+02, 1.60592810e+03, 9.96359070e+02],\n", - " [1.00125726e+03, 1.06602173e+02, 1.04274036e+03, 2.23831467e+02],\n", - " [1.78051672e+03, 4.28164482e+01, 1.83082910e+03, 1.62884888e+02],\n", - " [1.78868420e+03, 5.14189697e+02, 1.88075342e+03, 6.84835327e+02],\n", - " [7.50866234e-01, 2.98526855e+02, 3.28762550e+01, 4.24289886e+02],\n", - " [1.14466125e+03, 7.73079224e+02, 1.24171399e+03, 9.62205566e+02],\n", - " [1.25863831e+03, 8.36144470e+02, 1.33539734e+03, 9.89684998e+02],\n", - " [1.87358179e+03, 2.62380981e+02, 1.92855859e+03, 4.12831879e+02],\n", - " [1.83916235e+03, 3.94138985e+01, 1.89005457e+03, 1.70957291e+02],\n", - " [8.07986023e+02, 2.10343456e+01, 8.51265320e+02, 1.20883385e+02],\n", - " [1.87140784e+03, 1.07133026e+02, 1.91490442e+03, 2.55202393e+02],\n", - " [1.03935754e+03, 1.38868637e+02, 1.07701587e+03, 2.54114319e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.46474382, 0.5099757 , 0.6808915 , 0.6271377 , 0.8504096 ,\n", - " 0.7032608 , 0.56529325, 0.67219335, 0.81070924, 0.6616081 ,\n", - " 0.4688228 , 0.64323276, 0.7586167 , 0.55704516, 0.411709 ,\n", - " 0.69002473, 0.42311943, 0.5563625 , 0.7472242 , 0.33176187,\n", - " 0.5457098 , 0.38065484, 0.40886486, 0.3072883 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 34, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13, 78,\n", - " 69, 11, 82, 72, 57, 79, 45]), data={'frame_number': ['292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292', '292']}),\n", - " Detections(xyxy=array([[1.05302954e+03, 4.00183258e+01, 1.10426587e+03, 1.72052658e+02],\n", - " [1.42986499e+03, 2.39194345e+00, 1.47054846e+03, 9.70658417e+01],\n", - " [1.25219714e+03, 9.44426270e+01, 1.30695862e+03, 2.24606552e+02],\n", - " [7.18948486e+02, 1.92267181e+02, 7.78210815e+02, 3.42806549e+02],\n", - " [9.29120728e+02, 4.81486145e+02, 9.93214355e+02, 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1.0790413e+03, 2.1936800e+02],\n", - " [1.3822462e+03, 5.4831505e+00, 1.4469331e+03, 1.5694530e+02],\n", - " [1.8619081e+03, 1.2512929e+02, 1.9156350e+03, 2.7438071e+02],\n", - " [1.8330359e+03, 7.3590256e+01, 1.8979828e+03, 2.1100972e+02],\n", - " [1.6956543e+03, 5.2511307e+01, 1.7367628e+03, 1.7995352e+02],\n", - " [1.8071754e+03, 5.6998505e+02, 1.9096621e+03, 7.5964307e+02],\n", - " [1.0282623e+03, 1.5946991e+01, 1.1015442e+03, 2.2327928e+02],\n", - " [1.3802346e+03, 1.4809549e+01, 1.4232217e+03, 1.5499986e+02],\n", - " [1.0660554e+03, 6.9905884e+02, 1.1634149e+03, 9.0305707e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.68604374, 0.551134 , 0.8251184 , 0.5827129 , 0.79008484,\n", - " 0.77388865, 0.44116038, 0.67101187, 0.8142241 , 0.40858853,\n", - " 0.46148494, 0.83600986, 0.42605898, 0.5756789 , 0.60597634,\n", - " 0.5527485 , 0.5380326 , 0.39875212, 0.48052737, 0.39993352,\n", - " 0.5133628 , 0.34652424, 0.444251 , 0.6041283 , 0.6511493 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 68, 78, 11, 72, 57, 85, 77, 45,\n", - " 89, 24, 79, 91, 13, 3, 35, 69]), data={'frame_number': ['309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309', '309']}),\n", - " Detections(xyxy=array([[1.26134839e+03, 6.79034805e+01, 1.31452576e+03, 1.99737000e+02],\n", - " [7.26280396e+02, 1.58693878e+02, 7.82627136e+02, 3.08363983e+02],\n", - " [9.22526855e+02, 5.44240540e+02, 9.95788025e+02, 7.24289307e+02],\n", - " [1.45246063e+02, 2.10797928e+02, 2.21462082e+02, 3.47607208e+02],\n", - " [7.52369873e+02, 4.80263519e+02, 8.21646423e+02, 6.38047607e+02],\n", - " [9.30594543e+02, 1.21652313e+02, 9.92665100e+02, 2.62308685e+02],\n", - " [3.49605370e+01, 1.26779335e+02, 9.42011185e+01, 2.46744812e+02],\n", - " [1.63495862e+03, 5.68171234e+01, 1.70550684e+03, 1.85011932e+02],\n", - " [1.52779541e+03, 7.12513733e+02, 1.62060559e+03, 9.16299744e+02],\n", - " [1.00047937e+03, 1.33403473e+02, 1.04048193e+03, 2.46794769e+02],\n", - " [1.87681377e+00, 3.26420563e+02, 4.32418900e+01, 4.55777588e+02],\n", - " [1.26823401e+03, 9.50134094e+02, 1.34381958e+03, 1.08177551e+03],\n", - " [1.81316809e+03, 1.52292652e+01, 1.86427649e+03, 1.36091385e+02],\n", - " [8.54092224e+02, 1.64233875e+01, 8.95065735e+02, 1.17710503e+02],\n", - " [1.40040137e+03, 9.29824890e+02, 1.56457153e+03, 1.07999780e+03],\n", - " [1.73624963e+03, 2.47984791e+01, 1.79311096e+03, 1.43414444e+02],\n", - " [1.04444458e+03, 1.09887970e+02, 1.07827856e+03, 2.17653625e+02],\n", - " [1.38139062e+03, 5.06489086e+00, 1.44640894e+03, 1.56945999e+02],\n", - " [1.83007092e+03, 7.10965958e+01, 1.91304248e+03, 2.50375565e+02],\n", - " [1.69225537e+03, 4.96268845e+01, 1.73437219e+03, 1.80776169e+02],\n", - " [1.02887915e+03, 1.29009933e+01, 1.10034766e+03, 2.24556381e+02],\n", - " [1.37953601e+03, 1.42743454e+01, 1.42225879e+03, 1.54990189e+02],\n", - " [1.06425647e+03, 6.96325134e+02, 1.16047681e+03, 8.99098694e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6570464 , 0.54631805, 0.83867884, 0.62046397, 0.76885134,\n", - " 0.7175582 , 0.4838099 , 0.6512553 , 0.8347324 , 0.32928473,\n", - " 0.54778314, 0.83668053, 0.5612567 , 0.5125567 , 0.64332426,\n", - " 0.52954865, 0.4908325 , 0.40328547, 0.5719806 , 0.42911828,\n", - " 0.38141215, 0.5611203 , 0.66656536], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 68, 78, 11, 72, 57, 85, 77, 45,\n", - " 89, 79, 91, 3, 35, 69]), data={'frame_number': ['310', '310', '310', '310', '310', '310', '310', '310', '310', '310', '310', '310', '310', '310', '310', '310', '310', '310', '310', '310', '310', '310', '310']}),\n", - " Detections(xyxy=array([[1.26207507e+03, 6.54461212e+01, 1.31480969e+03, 1.96053802e+02],\n", - " [7.27069275e+02, 1.58203812e+02, 7.83588806e+02, 3.09404633e+02],\n", - " [9.22853882e+02, 5.47964844e+02, 9.96457642e+02, 7.30917358e+02],\n", - " [1.44084091e+02, 2.12139587e+02, 2.20576889e+02, 3.48985962e+02],\n", - " [7.52589905e+02, 4.76846313e+02, 8.20625427e+02, 6.31189941e+02],\n", - " [9.31373657e+02, 1.23726433e+02, 9.92562622e+02, 2.64067688e+02],\n", - " [3.44316826e+01, 1.27027863e+02, 9.37456894e+01, 2.46997330e+02],\n", - " [1.63155676e+03, 5.65543823e+01, 1.70215845e+03, 1.85363297e+02],\n", - " [1.53035095e+03, 7.07814209e+02, 1.61910144e+03, 9.04067261e+02],\n", - " [1.85090375e+00, 3.28001923e+02, 4.33105087e+01, 4.56443329e+02],\n", - " [1.26998511e+03, 9.54886047e+02, 1.34393079e+03, 1.08017212e+03],\n", - " [1.80949597e+03, 1.25836525e+01, 1.86202295e+03, 1.36639984e+02],\n", - " [8.55296387e+02, 1.47401590e+01, 8.96296509e+02, 1.15825897e+02],\n", - " [1.39732117e+03, 9.23478394e+02, 1.56089856e+03, 1.07999805e+03],\n", - " [1.73621924e+03, 2.39354401e+01, 1.79326086e+03, 1.42738159e+02],\n", - " [1.38013599e+03, 4.92134809e+00, 1.44513550e+03, 1.56950562e+02],\n", - " [1.83416626e+03, 8.73105240e+01, 1.91491821e+03, 2.63790436e+02],\n", - " [1.69131641e+03, 4.94808884e+01, 1.73292603e+03, 1.78828796e+02],\n", - " [1.03028381e+03, 1.17026014e+01, 1.09939575e+03, 2.23634857e+02],\n", - " [1.37986548e+03, 1.34160547e+01, 1.42263831e+03, 1.54987488e+02],\n", - " [1.06419312e+03, 6.92124817e+02, 1.15770740e+03, 8.90488464e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.625698 , 0.58753 , 0.8482001 , 0.62904763, 0.7320471 ,\n", - " 0.7197133 , 0.4819255 , 0.6793446 , 0.8218775 , 0.550443 ,\n", - " 0.8125547 , 0.5215898 , 0.4848766 , 0.58770037, 0.5658535 ,\n", - " 0.4396294 , 0.4901254 , 0.41550893, 0.5057939 , 0.53065073,\n", - " 0.55448437], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 57, 85, 77, 89, 79,\n", - " 91, 3, 35, 69]), data={'frame_number': ['311', '311', '311', '311', '311', '311', '311', '311', '311', '311', '311', '311', '311', '311', '311', '311', '311', '311', '311', '311', '311']}),\n", - " Detections(xyxy=array([[1.26315625e+03, 6.32588234e+01, 1.31474060e+03, 1.90753937e+02],\n", - " [7.28007812e+02, 1.56120605e+02, 7.84589111e+02, 3.08560242e+02],\n", - " [9.23102417e+02, 5.51219299e+02, 9.96603821e+02, 7.35907166e+02],\n", - " [1.43628159e+02, 2.13907928e+02, 2.20365616e+02, 3.50777374e+02],\n", - " [7.53012024e+02, 4.73720795e+02, 8.21188660e+02, 6.27500549e+02],\n", - " [9.32385193e+02, 1.26431885e+02, 9.92445801e+02, 2.65321075e+02],\n", - " [3.43683510e+01, 1.27110069e+02, 9.41234741e+01, 2.47744141e+02],\n", - " [1.62822498e+03, 5.51819191e+01, 1.69859656e+03, 1.84215103e+02],\n", - " [1.53381982e+03, 7.02931274e+02, 1.61794470e+03, 8.88929077e+02],\n", - " [1.08071268e+00, 3.29197052e+02, 4.34194565e+01, 4.59956329e+02],\n", - " [1.27111279e+03, 9.58335571e+02, 1.34476929e+03, 1.07946973e+03],\n", - " [1.80776611e+03, 1.23077984e+01, 1.86033508e+03, 1.35578873e+02],\n", - " [8.57108704e+02, 1.41170950e+01, 8.98501038e+02, 1.15790146e+02],\n", - " [1.39932947e+03, 9.17324158e+02, 1.56187927e+03, 1.07936877e+03],\n", - " [1.73632703e+03, 2.29865704e+01, 1.79338098e+03, 1.42528854e+02],\n", - " [1.37986072e+03, 4.21283007e+00, 1.44513245e+03, 1.56956116e+02],\n", - " [1.83378857e+03, 8.61438522e+01, 1.91627209e+03, 2.69715912e+02],\n", - " [1.69152991e+03, 4.80874710e+01, 1.73001843e+03, 1.67296341e+02],\n", - " [1.03093359e+03, 1.06468010e+01, 1.09772412e+03, 2.21821716e+02],\n", - " [1.06370813e+03, 6.87383545e+02, 1.15482861e+03, 8.81423279e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6129246 , 0.58928895, 0.8345392 , 0.6766416 , 0.7636568 ,\n", - " 0.6970007 , 0.5622848 , 0.63660145, 0.77216 , 0.55137026,\n", - " 0.8292705 , 0.5320493 , 0.4759665 , 0.65147364, 0.5642421 ,\n", - " 0.53780276, 0.58038944, 0.33595395, 0.4626703 , 0.77460074],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 57, 85, 77, 89, 79,\n", - " 91, 3, 69]), data={'frame_number': ['312', '312', '312', '312', '312', '312', '312', '312', '312', '312', '312', '312', '312', '312', '312', '312', '312', '312', '312', '312']}),\n", - " Detections(xyxy=array([[1.2638628e+03, 6.1174145e+01, 1.3143787e+03, 1.8550142e+02],\n", - " [7.2911658e+02, 1.5539780e+02, 7.8548773e+02, 3.0764450e+02],\n", - " [9.2258203e+02, 5.5363916e+02, 9.9662836e+02, 7.4221643e+02],\n", - " [1.4154181e+02, 2.1517421e+02, 2.2031395e+02, 3.5603445e+02],\n", - " [7.5379346e+02, 4.7203290e+02, 8.2205585e+02, 6.2564032e+02],\n", - " [9.3301947e+02, 1.2672828e+02, 9.9278925e+02, 2.6638150e+02],\n", - " [3.4186394e+01, 1.2713048e+02, 9.4447495e+01, 2.4867557e+02],\n", - " [1.6263176e+03, 5.6674244e+01, 1.6935530e+03, 1.7985800e+02],\n", - " [1.5350580e+03, 6.9729810e+02, 1.6174750e+03, 8.7949579e+02],\n", - " [5.7125920e-01, 3.3091022e+02, 4.3673756e+01, 4.6384991e+02],\n", - " [1.2724093e+03, 9.6065924e+02, 1.3468566e+03, 1.0798092e+03],\n", - " [1.8069930e+03, 1.1612614e+01, 1.8586216e+03, 1.3194325e+02],\n", - " [8.5762988e+02, 1.3237448e+01, 8.9798633e+02, 1.1315356e+02],\n", - " [1.3989801e+03, 9.1124908e+02, 1.5615934e+03, 1.0797472e+03],\n", - " [1.7348236e+03, 2.2664999e+01, 1.7911613e+03, 1.4117041e+02],\n", - " [1.3779038e+03, 3.9588425e+00, 1.4430098e+03, 1.5762579e+02],\n", - " [1.8339524e+03, 8.8235260e+01, 1.9152399e+03, 2.7131503e+02],\n", - " [1.6850536e+03, 4.8427204e+01, 1.7248900e+03, 1.7139027e+02],\n", - " [1.0636099e+03, 6.8310657e+02, 1.1513313e+03, 8.7021185e+02],\n", - " [9.9957422e+02, 1.3965996e+02, 1.0405416e+03, 2.5692297e+02],\n", - " [1.0438524e+03, 1.0506585e+02, 1.0792081e+03, 2.1798004e+02],\n", - " [1.3806423e+03, 1.2265431e+01, 1.4237374e+03, 1.5497379e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6565858 , 0.59724754, 0.81739247, 0.67522323, 0.7332878 ,\n", - " 0.7283638 , 0.61383194, 0.5411164 , 0.76816565, 0.5385408 ,\n", - " 0.81923735, 0.5649923 , 0.39721733, 0.71037453, 0.58191895,\n", - " 0.47541744, 0.57506907, 0.37347028, 0.76928437, 0.3385511 ,\n", - " 0.43640822, 0.5424243 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 57, 85, 77, 89, 79,\n", - " 91, 69, 68, 45, 35]), data={'frame_number': ['313', '313', '313', '313', '313', '313', '313', '313', '313', '313', '313', '313', '313', '313', '313', '313', '313', '313', '313', '313', '313', '313']}),\n", - " Detections(xyxy=array([[ 1.2638998e+03, 5.3762337e+01, 1.3157771e+03, 1.8163472e+02],\n", - " [ 7.3115198e+02, 1.5124229e+02, 7.8746204e+02, 3.0340460e+02],\n", - " [ 9.2354657e+02, 5.5965015e+02, 9.9677869e+02, 7.4772015e+02],\n", - " [ 1.4066663e+02, 2.1822008e+02, 2.1980341e+02, 3.6057300e+02],\n", - " [ 7.5378583e+02, 4.6887817e+02, 8.2262555e+02, 6.2312335e+02],\n", - " [ 9.3443634e+02, 1.2876025e+02, 9.9303619e+02, 2.6671841e+02],\n", - " [ 3.3787209e+01, 1.2712841e+02, 9.4262177e+01, 2.4967461e+02],\n", - " [ 1.6214424e+03, 5.5291069e+01, 1.6894441e+03, 1.7957195e+02],\n", - " [ 1.5359351e+03, 6.9004950e+02, 1.6188328e+03, 8.7294537e+02],\n", - " [-5.6016171e-01, 3.3412955e+02, 4.4044739e+01, 4.7248331e+02],\n", - " [ 1.2754996e+03, 9.7017114e+02, 1.3469489e+03, 1.0805334e+03],\n", - " [ 1.8034877e+03, 1.0748376e+01, 1.8559882e+03, 1.3132272e+02],\n", - " [ 1.3971183e+03, 9.0205444e+02, 1.5607190e+03, 1.0786381e+03],\n", - " [ 1.7328193e+03, 2.1257578e+01, 1.7885967e+03, 1.3870915e+02],\n", - " [ 1.3774181e+03, 3.2137818e+00, 1.4426372e+03, 1.5787994e+02],\n", - " [ 1.8291185e+03, 7.6291916e+01, 1.9139774e+03, 2.6986887e+02],\n", - " [ 1.6825905e+03, 4.5090755e+01, 1.7188303e+03, 1.5543584e+02],\n", - " [ 1.0637719e+03, 6.7766040e+02, 1.1461433e+03, 8.5413928e+02],\n", - " [ 9.9939404e+02, 1.4110454e+02, 1.0399247e+03, 2.5831973e+02],\n", - " [ 1.0453414e+03, 1.0713799e+02, 1.0797581e+03, 2.1699023e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.73348457, 0.64275825, 0.8041305 , 0.6905239 , 0.720428 ,\n", - " 0.7480096 , 0.5881868 , 0.6274377 , 0.8160394 , 0.45551613,\n", - " 0.8382539 , 0.669955 , 0.77542967, 0.6156102 , 0.5821243 ,\n", - " 0.60815006, 0.39637652, 0.55994624, 0.40177467, 0.4198994 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 89, 79, 91,\n", - " 69, 68, 45]), data={'frame_number': ['314', '314', '314', '314', '314', '314', '314', '314', '314', '314', '314', '314', '314', '314', '314', '314', '314', '314', '314', '314']}),\n", - " Detections(xyxy=array([[ 1.26522058e+03, 4.97936249e+01, 1.31759460e+03,\n", - " 1.79628098e+02],\n", - " [ 7.32387146e+02, 1.47100494e+02, 7.88350891e+02,\n", - " 2.98562988e+02],\n", - " [ 9.25212402e+02, 5.62483826e+02, 9.98170959e+02,\n", - " 7.50294983e+02],\n", - " [ 1.40349075e+02, 2.20638840e+02, 2.19684341e+02,\n", - " 3.64210144e+02],\n", - " [ 7.54049988e+02, 4.66498688e+02, 8.23848206e+02,\n", - " 6.23004211e+02],\n", - " [ 9.36712402e+02, 1.30127625e+02, 9.94680664e+02,\n", - " 2.66772186e+02],\n", - " [ 3.37212639e+01, 1.27118805e+02, 9.41245499e+01,\n", - " 2.50039291e+02],\n", - " [ 1.61826245e+03, 5.21624336e+01, 1.68623340e+03,\n", - " 1.76187408e+02],\n", - " [ 1.53648401e+03, 6.85568298e+02, 1.62037708e+03,\n", - " 8.70103638e+02],\n", - " [-9.18563545e-01, 3.36602600e+02, 4.41110916e+01,\n", - " 4.76994720e+02],\n", - " [ 1.27742871e+03, 9.77478455e+02, 1.34674829e+03,\n", - " 1.08067236e+03],\n", - " [ 1.80058765e+03, 9.14597988e+00, 1.85407642e+03,\n", - " 1.30492874e+02],\n", - " [ 1.39649158e+03, 8.97289062e+02, 1.55840381e+03,\n", - " 1.07882568e+03],\n", - " [ 1.73325403e+03, 1.94367428e+01, 1.78858936e+03,\n", - " 1.37164215e+02],\n", - " [ 1.83168262e+03, 8.81294708e+01, 1.91034668e+03,\n", - " 2.68631073e+02],\n", - " [ 1.67931555e+03, 4.32085114e+01, 1.71365747e+03,\n", - " 1.46018295e+02],\n", - " [ 1.06635327e+03, 6.72448853e+02, 1.14686157e+03,\n", - " 8.46447449e+02],\n", - " [ 9.99832581e+02, 1.40933334e+02, 1.03986536e+03,\n", - " 2.58785736e+02],\n", - " [ 1.04635425e+03, 1.08613197e+02, 1.08014746e+03,\n", - " 2.16662857e+02],\n", - " [ 1.46056299e+01, 6.26474487e+02, 8.29674988e+01,\n", - " 8.11788086e+02],\n", - " [ 1.38121057e+03, 1.19918537e+01, 1.42447449e+03,\n", - " 1.54952103e+02]], dtype=float32), mask=None, confidence=array([0.75324655, 0.7113683 , 0.8220413 , 0.5960392 , 0.7642039 ,\n", - " 0.7694524 , 0.59524095, 0.6360485 , 0.7638091 , 0.44481948,\n", - " 0.86340463, 0.6407711 , 0.8090583 , 0.5663626 , 0.57035375,\n", - " 0.3379395 , 0.50721157, 0.34015805, 0.38164374, 0.3109528 ,\n", - " 0.53232527], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 79, 91, 69,\n", - " 68, 45, 84, 35]), data={'frame_number': ['315', '315', '315', '315', '315', '315', '315', '315', '315', '315', '315', '315', '315', '315', '315', '315', '315', '315', '315', '315', '315']}),\n", - " Detections(xyxy=array([[ 1.26589844e+03, 4.83774529e+01, 1.31807776e+03,\n", - " 1.78311111e+02],\n", - " [ 7.33828796e+02, 1.44291870e+02, 7.88970886e+02,\n", - " 2.92839081e+02],\n", - " [ 9.26105408e+02, 5.64080139e+02, 9.98441528e+02,\n", - " 7.51089417e+02],\n", - " [ 1.39589569e+02, 2.22808212e+02, 2.19049377e+02,\n", - " 3.67484711e+02],\n", - " [ 7.54039978e+02, 4.64402649e+02, 8.25030518e+02,\n", - " 6.23755127e+02],\n", - " [ 9.37827515e+02, 1.29249176e+02, 9.95668030e+02,\n", - " 2.66067871e+02],\n", - " [ 3.36800232e+01, 1.27106857e+02, 9.41074753e+01,\n", - " 2.50161011e+02],\n", - " [ 1.61645557e+03, 5.03543549e+01, 1.68459839e+03,\n", - " 1.74953766e+02],\n", - " [ 1.53596521e+03, 6.82766296e+02, 1.62160889e+03,\n", - " 8.70614685e+02],\n", - " [-8.03457558e-01, 3.38797394e+02, 4.45311584e+01,\n", - " 4.80597168e+02],\n", - " [ 1.27853247e+03, 9.83216248e+02, 1.34683887e+03,\n", - " 1.08063721e+03],\n", - " [ 1.79759082e+03, 9.91681957e+00, 1.85209070e+03,\n", - " 1.31570618e+02],\n", - " [ 1.39676428e+03, 8.93052002e+02, 1.55636389e+03,\n", - " 1.07890527e+03],\n", - " [ 1.73035864e+03, 2.07772026e+01, 1.78449487e+03,\n", - " 1.34644928e+02],\n", - " [ 1.82704785e+03, 7.40217667e+01, 1.90999939e+03,\n", - " 2.67223145e+02],\n", - " [ 1.67380701e+03, 4.19345093e+01, 1.71164099e+03,\n", - " 1.53165985e+02],\n", - " [ 1.06524780e+03, 6.68702637e+02, 1.14529138e+03,\n", - " 8.43248169e+02],\n", - " [ 1.00147229e+03, 1.41474854e+02, 1.04165833e+03,\n", - " 2.60211731e+02],\n", - " [ 1.04647278e+03, 1.04534004e+02, 1.08119849e+03,\n", - " 2.15243835e+02],\n", - " [ 1.62681484e+01, 6.30669434e+02, 8.72790146e+01,\n", - " 8.12298645e+02],\n", - " [ 1.38189709e+03, 9.93092728e+00, 1.42609058e+03,\n", - " 1.54949707e+02]], dtype=float32), mask=None, confidence=array([0.76127654, 0.73406005, 0.8236162 , 0.5409693 , 0.8195547 ,\n", - " 0.7804484 , 0.57224274, 0.62595737, 0.777985 , 0.53394085,\n", - " 0.81644094, 0.5680983 , 0.74737746, 0.56211567, 0.5195857 ,\n", - " 0.39087734, 0.549683 , 0.5051916 , 0.5017662 , 0.44075626,\n", - " 0.5915731 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 79, 91, 69,\n", - " 68, 45, 84, 35]), data={'frame_number': ['316', '316', '316', '316', '316', '316', '316', '316', '316', '316', '316', '316', '316', '316', '316', '316', '316', '316', '316', '316', '316']}),\n", - " Detections(xyxy=array([[ 1.26680017e+03, 4.79457855e+01, 1.31823242e+03,\n", - " 1.76597916e+02],\n", - " [ 7.34177002e+02, 1.42662231e+02, 7.89329224e+02,\n", - " 2.90103455e+02],\n", - " [ 9.27634033e+02, 5.67180115e+02, 9.98659607e+02,\n", - " 7.50552002e+02],\n", - " [ 1.38727600e+02, 2.24223770e+02, 2.18800491e+02,\n", - " 3.71270630e+02],\n", - " [ 7.53498596e+02, 4.60438812e+02, 8.25969421e+02,\n", - " 6.24161926e+02],\n", - " [ 9.38723328e+02, 1.28866531e+02, 9.96841431e+02,\n", - " 2.66418457e+02],\n", - " [ 3.37861214e+01, 1.26436165e+02, 9.46557312e+01,\n", - " 2.50849808e+02],\n", - " [ 1.61462451e+03, 4.83945465e+01, 1.68209424e+03,\n", - " 1.73216797e+02],\n", - " [ 1.53569141e+03, 6.79916199e+02, 1.62274658e+03,\n", - " 8.70355347e+02],\n", - " [-1.07246470e+00, 3.40879028e+02, 4.50049019e+01,\n", - " 4.85791779e+02],\n", - " [ 1.28010461e+03, 9.89821960e+02, 1.34698950e+03,\n", - " 1.08055750e+03],\n", - " [ 1.79387085e+03, 8.27370644e+00, 1.85010413e+03,\n", - " 1.31380371e+02],\n", - " [ 1.39688098e+03, 8.88384949e+02, 1.55432458e+03,\n", - " 1.07893970e+03],\n", - " [ 1.73033167e+03, 1.53003845e+01, 1.78539355e+03,\n", - " 1.32410172e+02],\n", - " [ 1.82405542e+03, 6.63797226e+01, 1.90801245e+03,\n", - " 2.65454498e+02],\n", - " [ 1.66453357e+03, 4.28567047e+01, 1.70703699e+03,\n", - " 1.64847702e+02],\n", - " [ 1.06041187e+03, 6.65477173e+02, 1.14063611e+03,\n", - " 8.42314636e+02],\n", - " [ 1.00212701e+03, 1.42941559e+02, 1.04230884e+03,\n", - " 2.61344147e+02],\n", - " [ 1.04612061e+03, 1.01088303e+02, 1.08131116e+03,\n", - " 2.13431152e+02],\n", - " [ 1.99518833e+01, 6.32661438e+02, 9.56021042e+01,\n", - " 8.13847778e+02],\n", - " [ 1.38194897e+03, 1.05228720e+01, 1.42618933e+03,\n", - " 1.54949951e+02]], dtype=float32), mask=None, confidence=array([0.72732264, 0.81432146, 0.8316494 , 0.67117226, 0.8038748 ,\n", - " 0.7779076 , 0.5742839 , 0.62942386, 0.7375114 , 0.5381471 ,\n", - " 0.8186115 , 0.4973562 , 0.79402876, 0.514702 , 0.5260899 ,\n", - " 0.49647373, 0.68258065, 0.58213127, 0.45253178, 0.6843878 ,\n", - " 0.5248573 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 79, 91, 69,\n", - " 68, 45, 84, 35]), data={'frame_number': ['317', '317', '317', '317', '317', '317', '317', '317', '317', '317', '317', '317', '317', '317', '317', '317', '317', '317', '317', '317', '317']}),\n", - " Detections(xyxy=array([[ 1.26746228e+03, 4.72222099e+01, 1.31858691e+03,\n", - " 1.75390152e+02],\n", - " [ 7.35818787e+02, 1.41474915e+02, 7.90546204e+02,\n", - " 2.85856018e+02],\n", - " [ 9.28911743e+02, 5.70198853e+02, 9.98692200e+02,\n", - " 7.49495422e+02],\n", - " [ 1.38122711e+02, 2.26007309e+02, 2.17742889e+02,\n", - " 3.73281464e+02],\n", - " [ 7.53276489e+02, 4.57730103e+02, 8.26301392e+02,\n", - " 6.23761658e+02],\n", - " [ 9.39403320e+02, 1.31317429e+02, 9.96894653e+02,\n", - " 2.67168610e+02],\n", - " [ 3.32809067e+01, 1.26834206e+02, 9.41086655e+01,\n", - " 2.51096085e+02],\n", - " [ 1.61427307e+03, 4.70399818e+01, 1.68107092e+03,\n", - " 1.71950943e+02],\n", - " [ 1.53501013e+03, 6.76386780e+02, 1.62369153e+03,\n", - " 8.69798096e+02],\n", - " [-1.10290742e+00, 3.42914673e+02, 4.51110077e+01,\n", - " 4.88981323e+02],\n", - " [ 1.28100879e+03, 9.96731445e+02, 1.34656885e+03,\n", - " 1.08046289e+03],\n", - " [ 1.79241003e+03, 7.69479561e+00, 1.84889417e+03,\n", - " 1.30038956e+02],\n", - " [ 1.39881055e+03, 8.85449036e+02, 1.55232080e+03,\n", - " 1.07831934e+03],\n", - " [ 1.72727905e+03, 1.26751709e+01, 1.78225916e+03,\n", - " 1.30313248e+02],\n", - " [ 1.82155688e+03, 5.95586319e+01, 1.90537903e+03,\n", - " 2.61456329e+02],\n", - " [ 1.66684131e+03, 4.12843704e+01, 1.70880579e+03,\n", - " 1.62130310e+02],\n", - " [ 1.05562634e+03, 6.62438110e+02, 1.13744446e+03,\n", - " 8.43519409e+02],\n", - " [ 1.00327759e+03, 1.44105347e+02, 1.04362207e+03,\n", - " 2.61704865e+02],\n", - " [ 1.04635291e+03, 9.91687927e+01, 1.08162158e+03,\n", - " 2.11464310e+02],\n", - " [ 2.29666290e+01, 6.33942627e+02, 1.04876305e+02,\n", - " 8.19077759e+02],\n", - " [ 1.38162585e+03, 1.20800009e+01, 1.42523328e+03,\n", - " 1.54953796e+02],\n", - " [ 3.32496460e+02, 4.55010559e+02, 3.99324158e+02,\n", - " 6.07969421e+02],\n", - " [ 1.82161218e+03, 6.00120850e+02, 1.92132532e+03,\n", - " 7.86315979e+02],\n", - " [ 8.72214661e+02, 1.09597521e+01, 9.13112976e+02,\n", - " 1.15505501e+02]], dtype=float32), mask=None, confidence=array([0.7163615 , 0.7787924 , 0.83965313, 0.6347995 , 0.828462 ,\n", - " 0.7750573 , 0.5868429 , 0.64068204, 0.7279203 , 0.6209617 ,\n", - " 0.74152875, 0.4909008 , 0.7892579 , 0.55163705, 0.52996796,\n", - " 0.4570506 , 0.68682337, 0.6866572 , 0.46347424, 0.80456454,\n", - " 0.52575976, 0.30966932, 0.46362388, 0.32509 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 79, 91, 69,\n", - " 68, 45, 84, 35, 29, 13, 57]), data={'frame_number': ['318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318', '318']}),\n", - " Detections(xyxy=array([[ 1.26732129e+03, 4.70339394e+01, 1.31840454e+03,\n", - " 1.75689133e+02],\n", - " [ 7.38647644e+02, 1.39121170e+02, 7.92730530e+02,\n", - " 2.79694885e+02],\n", - " [ 9.30181213e+02, 5.75854858e+02, 9.97891846e+02,\n", - " 7.48274353e+02],\n", - " [ 1.37959305e+02, 2.27932358e+02, 2.16688690e+02,\n", - " 3.74607697e+02],\n", - " [ 7.53201294e+02, 4.53543060e+02, 8.26373291e+02,\n", - " 6.20443481e+02],\n", - " [ 9.38538208e+02, 1.32197586e+02, 9.96651733e+02,\n", - " 2.68070526e+02],\n", - " [ 3.24726486e+01, 1.28300323e+02, 9.32104874e+01,\n", - " 2.51831573e+02],\n", - " [ 1.61221362e+03, 4.52558060e+01, 1.67691040e+03,\n", - " 1.68881271e+02],\n", - " [ 1.53577417e+03, 6.71276978e+02, 1.62559644e+03,\n", - " 8.65816956e+02],\n", - " [-5.05741835e-01, 3.45585114e+02, 4.51915779e+01,\n", - " 4.90092682e+02],\n", - " [ 1.28538293e+03, 1.00805493e+03, 1.34656628e+03,\n", - " 1.08037427e+03],\n", - " [ 1.78915344e+03, 6.86202955e+00, 1.84468408e+03,\n", - " 1.24947784e+02],\n", - " [ 1.40139880e+03, 8.79370850e+02, 1.54976172e+03,\n", - " 1.07295361e+03],\n", - " [ 1.72388635e+03, 1.17283907e+01, 1.77880469e+03,\n", - " 1.28255127e+02],\n", - " [ 1.82257202e+03, 5.69482307e+01, 1.89532642e+03,\n", - " 2.30216019e+02],\n", - " [ 1.66320837e+03, 4.00574493e+01, 1.70527686e+03,\n", - " 1.61746140e+02],\n", - " [ 1.04933057e+03, 6.58801575e+02, 1.13238196e+03,\n", - " 8.42835083e+02],\n", - " [ 1.00465125e+03, 1.45813522e+02, 1.04448865e+03,\n", - " 2.61774384e+02],\n", - " [ 1.04799048e+03, 9.58647003e+01, 1.08214807e+03,\n", - " 2.04825302e+02],\n", - " [ 2.49074497e+01, 6.39631775e+02, 1.11977707e+02,\n", - " 8.25610779e+02],\n", - " [ 1.38260571e+03, 1.73155212e+01, 1.42507996e+03,\n", - " 1.55621323e+02],\n", - " [ 3.32996613e+02, 4.54942139e+02, 3.99764008e+02,\n", - " 6.08667053e+02],\n", - " [ 1.82588916e+03, 6.02497620e+02, 1.92283850e+03,\n", - " 7.86356934e+02],\n", - " [ 8.76430237e+02, 1.21735001e+01, 9.15084229e+02,\n", - " 1.13105705e+02]], dtype=float32), mask=None, confidence=array([0.6592766 , 0.8278073 , 0.84648526, 0.6692747 , 0.8360995 ,\n", - " 0.78829443, 0.59263426, 0.6410636 , 0.7783395 , 0.60804087,\n", - " 0.7263973 , 0.53792864, 0.76670516, 0.60076237, 0.471451 ,\n", - " 0.5594405 , 0.6627543 , 0.6328622 , 0.34542176, 0.4960508 ,\n", - " 0.5450918 , 0.34767413, 0.3189147 , 0.43124968], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 79, 91, 69,\n", - " 68, 45, 84, 35, 29, 13, 57]), data={'frame_number': ['319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319', '319']}),\n", - " Detections(xyxy=array([[1.26781836e+03, 4.70363312e+01, 1.31840881e+03, 1.74558945e+02],\n", - " [7.39175415e+02, 1.36994583e+02, 7.93316406e+02, 2.75510559e+02],\n", - " [9.30007751e+02, 5.79830078e+02, 9.97538269e+02, 7.49681763e+02],\n", - " [1.38240494e+02, 2.29253342e+02, 2.16017715e+02, 3.75015625e+02],\n", - " [7.53219299e+02, 4.49439331e+02, 8.26312561e+02, 6.16646423e+02],\n", - " [9.36531799e+02, 1.33143524e+02, 9.96214966e+02, 2.71019623e+02],\n", - " [3.15906334e+01, 1.28850723e+02, 9.28011246e+01, 2.52754578e+02],\n", - " [1.61006897e+03, 4.33076363e+01, 1.67363501e+03, 1.67114273e+02],\n", - " [1.53659277e+03, 6.66218933e+02, 1.62705347e+03, 8.61836975e+02],\n", - " [2.83479244e-01, 3.47190491e+02, 4.53169441e+01, 4.89071777e+02],\n", - " [1.28779578e+03, 1.01654810e+03, 1.34622449e+03, 1.08027673e+03],\n", - " [1.78677979e+03, 9.28481007e+00, 1.84039697e+03, 1.21070740e+02],\n", - " 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0.54790914, 0.5615504 , 0.8519157 , 0.590264 , 0.47707736,\n", - " 0.6071898 , 0.6286214 , 0.72498095, 0.37257987, 0.55543983,\n", - " 0.53922075, 0.33302063, 0.39520597], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 79, 91, 69,\n", - " 68, 45, 84, 35, 29, 57]), data={'frame_number': ['320', '320', '320', '320', '320', '320', '320', '320', '320', '320', '320', '320', '320', '320', '320', '320', '320', '320', '320', '320', '320', '320', '320']}),\n", - " Detections(xyxy=array([[1.26894458e+03, 4.51244431e+01, 1.31942358e+03, 1.72223709e+02],\n", - " [7.36785339e+02, 1.33611832e+02, 7.93352600e+02, 2.76106110e+02],\n", - " [9.29348511e+02, 5.82493103e+02, 9.97984985e+02, 7.54119812e+02],\n", - " [1.38281067e+02, 2.30343796e+02, 2.15239349e+02, 3.75079376e+02],\n", - " [7.53515381e+02, 4.44716064e+02, 8.25964233e+02, 6.10700745e+02],\n", - " 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1.54472900e+03, 1.06280151e+03],\n", - " [1.71793713e+03, 8.31553650e+00, 1.77284790e+03, 1.23493828e+02],\n", - " [1.81403931e+03, 5.79958611e+01, 1.89027197e+03, 2.42909256e+02],\n", - " [1.64941858e+03, 3.43772087e+01, 1.69526123e+03, 1.61548996e+02],\n", - " [1.04200940e+03, 6.48750366e+02, 1.12423669e+03, 8.33845825e+02],\n", - " [1.00458917e+03, 1.47754227e+02, 1.04664600e+03, 2.68397491e+02],\n", - " [3.30340233e+01, 6.49235718e+02, 1.28565964e+02, 8.37841736e+02],\n", - " [1.38230444e+03, 1.90724602e+01, 1.42473914e+03, 1.55682526e+02],\n", - " [3.33399261e+02, 4.54258728e+02, 3.99630341e+02, 6.10091125e+02],\n", - " [8.85036621e+02, 1.33535109e+01, 9.22990845e+02, 1.11943520e+02],\n", - " [1.83195728e+03, 6.14578979e+02, 1.92690918e+03, 8.00174377e+02],\n", - " [1.04902112e+03, 8.31433945e+01, 1.08382141e+03, 1.94941696e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7040101 , 0.76688814, 0.8671846 , 0.6544126 , 0.73030174,\n", - " 0.78577065, 0.63304555, 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8.25033569e+02, 5.95529724e+02],\n", - " [9.30938416e+02, 1.38085022e+02, 9.95031616e+02, 2.79987213e+02],\n", - " [2.93549919e+01, 1.31035049e+02, 9.12388000e+01, 2.52460800e+02],\n", - " [1.60157056e+03, 3.99162750e+01, 1.66297192e+03, 1.63510452e+02],\n", - " [1.54417639e+03, 6.51888855e+02, 1.62883447e+03, 8.36716370e+02],\n", - " [1.69655812e+00, 3.48007690e+02, 4.69715958e+01, 4.87343597e+02],\n", - " [1.78411377e+03, 5.63592768e+00, 1.83904272e+03, 1.17948624e+02],\n", - " [1.40974170e+03, 8.58393005e+02, 1.54206909e+03, 1.05602795e+03],\n", - " [1.71596387e+03, 8.31436348e+00, 1.77098462e+03, 1.23289200e+02],\n", - " [1.81026794e+03, 5.14352531e+01, 1.88877563e+03, 2.41672836e+02],\n", - " [1.64830603e+03, 3.49681625e+01, 1.69358789e+03, 1.59678040e+02],\n", - " [1.04151355e+03, 6.44316833e+02, 1.12444446e+03, 8.32579773e+02],\n", - " [1.00348254e+03, 1.47006973e+02, 1.04653784e+03, 2.70673187e+02],\n", - " [3.48769608e+01, 6.52158264e+02, 1.32414841e+02, 8.42240051e+02],\n", - 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78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 57, 45, 96, 97]), data={'frame_number': ['325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325', '325']}),\n", - " Detections(xyxy=array([[1274.8497 , 26.649117 , 1325.5073 , 154.4203 ],\n", - " [ 736.9381 , 125.19534 , 797.1868 , 276.2596 ],\n", - " [ 926.8413 , 603.7074 , 1003.7608 , 794.7499 ],\n", - " [ 136.62605 , 234.06976 , 211.8445 , 374.76385 ],\n", - " [ 756.56445 , 425.83514 , 824.98206 , 579.7239 ],\n", - " [ 927.377 , 141.92436 , 995.7094 , 290.135 ],\n", - " [ 25.82031 , 129.26404 , 88.84099 , 250.47318 ],\n", - " [1580.5244 , 35.825645 , 1645.8998 , 161.24147 ],\n", - " [1547.4023 , 630.9163 , 1631.0297 , 809.414 ],\n", - " [ 5.8294053, 342.46292 , 56.921406 , 489.58682 ],\n", - " [1781.4917 , 3.140698 , 1836.4844 , 117.479164 ],\n", - " [1419.8595 , 838.3461 , 1529.946 , 1011.7735 ],\n", - " [1710.3333 , 7.7472067, 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0.46190363, 0.43519253], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 57, 45, 96, 97]), data={'frame_number': ['326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326', '326']}),\n", - " Detections(xyxy=array([[1.27464355e+03, 2.46535473e+01, 1.32537964e+03, 1.52568008e+02],\n", - " [7.37506958e+02, 1.22392891e+02, 7.98262634e+02, 2.75546967e+02],\n", - " [9.26551086e+02, 6.07836304e+02, 1.00316821e+03, 7.97334656e+02],\n", - " [1.36092804e+02, 2.34445084e+02, 2.11628494e+02, 3.75265228e+02],\n", - " [7.55858398e+02, 4.22067871e+02, 8.25529053e+02, 5.79136414e+02],\n", - " [9.27621948e+02, 1.42417297e+02, 9.96558777e+02, 2.91462128e+02],\n", - " [2.43145027e+01, 1.28465973e+02, 8.68670654e+01, 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data={'frame_number': ['327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327', '327']}),\n", - " Detections(xyxy=array([[1.27424353e+03, 2.33422699e+01, 1.32492590e+03, 1.51312164e+02],\n", - " [7.38900574e+02, 1.20089104e+02, 7.99415405e+02, 2.74676514e+02],\n", - " [9.26358276e+02, 6.09263123e+02, 1.00300061e+03, 7.98111511e+02],\n", - " [1.35848145e+02, 2.35203323e+02, 2.11639542e+02, 3.76078491e+02],\n", - " [7.55843750e+02, 4.21434509e+02, 8.25464539e+02, 5.79055054e+02],\n", - " [9.28587036e+02, 1.43212067e+02, 9.97339417e+02, 2.91233398e+02],\n", - " [2.40230885e+01, 1.28824844e+02, 8.58961182e+01, 2.48230865e+02],\n", - " [1.57721411e+03, 3.72551537e+01, 1.64274854e+03, 1.58908997e+02],\n", - " [1.54785522e+03, 6.23474792e+02, 1.63316577e+03, 8.07038452e+02],\n", - " [5.92309427e+00, 3.40204071e+02, 6.11750870e+01, 4.92138092e+02],\n", - " [1.78244507e+03, 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1.05120496e+03, 2.75149200e+02],\n", - " [4.91523285e+01, 6.67535461e+02, 1.49134430e+02, 8.54471924e+02],\n", - " [1.38271509e+03, 4.33307314e+00, 1.42724573e+03, 1.50240250e+02],\n", - " [3.36095642e+02, 4.46800262e+02, 4.01548157e+02, 6.03621704e+02],\n", - " [1.05159399e+03, 6.37493706e+01, 1.08608301e+03, 1.82628479e+02],\n", - " [1.38608447e+03, 9.74089233e+02, 1.52556287e+03, 1.08000928e+03],\n", - " [1.13206519e+03, 9.96608459e+02, 1.23997778e+03, 1.07967126e+03],\n", - " [9.97164612e+02, 4.50677834e+01, 1.03677893e+03, 1.64101685e+02],\n", - " [1.84324731e+03, 6.54309143e+02, 1.92765442e+03, 8.34451538e+02],\n", - " [1.04780688e+03, 1.49393053e+01, 1.08418311e+03, 1.80109833e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.71240705, 0.658499 , 0.8758508 , 0.4262466 , 0.7608821 ,\n", - " 0.75198495, 0.5033414 , 0.62637484, 0.821868 , 0.46734792,\n", - " 0.5834955 , 0.76928353, 0.46589565, 0.7842742 , 0.52311844,\n", - " 0.61725646, 0.67574674, 0.4304142 , 0.54507196, 0.35089293,\n", - " 0.49776235, 0.6412872 , 0.74696815, 0.37812603, 0.40088725,\n", - " 0.33497226], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 45, 96, 98, 99, 13, 94]), data={'frame_number': ['330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330', '330']}),\n", - " Detections(xyxy=array([[1.27434705e+03, 2.12071571e+01, 1.32490173e+03, 1.47050766e+02],\n", - " [7.42625305e+02, 1.15511581e+02, 7.97213379e+02, 2.56587799e+02],\n", - " [9.30228149e+02, 6.17590088e+02, 1.00427936e+03, 7.97539734e+02],\n", - " [1.32512558e+02, 2.41302139e+02, 2.11432526e+02, 3.86143250e+02],\n", - " [7.55050171e+02, 4.13551300e+02, 8.26329529e+02, 5.76391541e+02],\n", - " [9.32855896e+02, 1.46067215e+02, 1.00015515e+03, 2.89898163e+02],\n", - " [2.01507092e+01, 1.29934708e+02, 7.91789246e+01, 2.47911331e+02],\n", - " [1.57395630e+03, 3.27049141e+01, 1.63778052e+03, 1.50305786e+02],\n", - " [1.55154749e+03, 6.11040710e+02, 1.63683008e+03, 8.00821716e+02],\n", - " [6.26758814e+00, 3.51943329e+02, 6.39247131e+01, 4.99483704e+02],\n", - " [1.77853003e+03, 7.33007550e-01, 1.82870300e+03, 1.06737511e+02],\n", - " [1.41924609e+03, 8.10375488e+02, 1.52482007e+03, 9.88500854e+02],\n", - " [1.70085205e+03, 2.66821241e+00, 1.75583923e+03, 1.06729431e+02],\n", - " [1.80078540e+03, 3.10406303e+01, 1.87490613e+03, 2.19636536e+02],\n", - " [1.62299365e+03, 2.47913952e+01, 1.67244861e+03, 1.48242950e+02],\n", - " [1.00963727e+03, 6.08635925e+02, 1.08968481e+03, 7.90777649e+02],\n", - " [1.00910309e+03, 1.59262695e+02, 1.05225488e+03, 2.75422607e+02],\n", - " [5.10931740e+01, 6.70747253e+02, 1.54831345e+02, 8.63607605e+02],\n", - " [1.38277368e+03, 3.83107233e+00, 1.42731067e+03, 1.49933273e+02],\n", - " [3.36408875e+02, 4.47349457e+02, 4.00997589e+02, 6.02409241e+02],\n", - " [1.05278491e+03, 6.44799423e+01, 1.08600208e+03, 1.78809006e+02],\n", - " [1.38242944e+03, 9.69371277e+02, 1.52584167e+03, 1.08001709e+03],\n", - " [1.12920520e+03, 9.90659485e+02, 1.24263513e+03, 1.07920300e+03],\n", - " [1.84555505e+03, 6.58916687e+02, 1.92544116e+03, 8.33413879e+02],\n", - " [1.04812317e+03, 1.66944790e+01, 1.08391162e+03, 1.78136276e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7136526 , 0.60197395, 0.8606272 , 0.495597 , 0.8236574 ,\n", - " 0.7252902 , 0.5237852 , 0.5875579 , 0.81151676, 0.5192478 ,\n", - " 0.60093313, 0.7760268 , 0.49650103, 0.7654562 , 0.54877377,\n", - " 0.73721313, 0.5883708 , 0.5957421 , 0.568761 , 0.42995745,\n", - " 0.5045093 , 0.61252785, 0.75192153, 0.5287489 , 0.33573228],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 45, 96, 98, 13, 94]), data={'frame_number': ['331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331', '331']}),\n", - " Detections(xyxy=array([[1.27466418e+03, 2.10830059e+01, 1.32536328e+03, 1.46963593e+02],\n", - " [7.42319702e+02, 1.12494896e+02, 7.97311096e+02, 2.55284271e+02],\n", - " [9.30342285e+02, 6.20980103e+02, 1.00272729e+03, 7.96217102e+02],\n", - " [1.31833633e+02, 2.43544632e+02, 2.11758636e+02, 3.89896942e+02],\n", - " [7.55349426e+02, 4.10143219e+02, 8.27198303e+02, 5.74554321e+02],\n", - " [9.34532227e+02, 1.47055573e+02, 1.00133386e+03, 2.89708038e+02],\n", - " [1.98225193e+01, 1.30028427e+02, 7.79435654e+01, 2.47911072e+02],\n", - " [1.57192126e+03, 3.05466766e+01, 1.63610608e+03, 1.49529999e+02],\n", - " [1.55179919e+03, 6.08086060e+02, 1.63767627e+03, 8.01427063e+02],\n", - " [5.91240215e+00, 3.53706177e+02, 6.46917953e+01, 5.01053040e+02],\n", - " [1.77710657e+03, 6.88069940e-01, 1.82641064e+03, 1.04400398e+02],\n", - " [1.41780469e+03, 8.06247253e+02, 1.52588184e+03, 9.92467712e+02],\n", - " [1.69932593e+03, 1.92301047e+00, 1.75423816e+03, 1.03553154e+02],\n", - " [1.80047900e+03, 2.86737576e+01, 1.87378699e+03, 2.17937775e+02],\n", - " [1.62414221e+03, 2.38506660e+01, 1.67224060e+03, 1.43741837e+02],\n", - " [1.00855103e+03, 6.06837219e+02, 1.08875232e+03, 7.90907654e+02],\n", - " [1.00898676e+03, 1.60150772e+02, 1.05249048e+03, 2.77470917e+02],\n", - " [5.24914742e+01, 6.72532898e+02, 1.60069748e+02, 8.72212708e+02],\n", - " [1.38355139e+03, 3.67108679e+00, 1.42788684e+03, 1.49174286e+02],\n", - " [3.36105743e+02, 4.47590668e+02, 3.99860016e+02, 6.01302368e+02],\n", - " [1.05403308e+03, 6.48819580e+01, 1.08648413e+03, 1.75453552e+02],\n", - " [1.12483606e+03, 9.83427734e+02, 1.24576746e+03, 1.07965723e+03],\n", - " [1.84660522e+03, 6.61775757e+02, 1.92434204e+03, 8.34900818e+02],\n", - " [3.86637573e+02, 4.74031281e+02, 4.59412567e+02, 6.34149536e+02],\n", - " [9.98656433e+02, 4.61067543e+01, 1.03852893e+03, 1.65163208e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6991699 , 0.6594496 , 0.86257803, 0.52260846, 0.8520696 ,\n", - " 0.7357413 , 0.5440613 , 0.6320511 , 0.81942487, 0.5305309 ,\n", - " 0.57792044, 0.78141934, 0.5288148 , 0.75636977, 0.54741067,\n", - " 0.72362447, 0.67719364, 0.39650407, 0.5567904 , 0.47734454,\n", - " 0.54318243, 0.7177765 , 0.44526616, 0.37345308, 0.34831223],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 45, 98, 13, 97, 99]), data={'frame_number': ['332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332', '332']}),\n", - " Detections(xyxy=array([[1.27482715e+03, 1.97845459e+01, 1.32546155e+03, 1.45686371e+02],\n", - " [7.42429504e+02, 1.09462814e+02, 7.96434753e+02, 2.49581360e+02],\n", - " [9.30607178e+02, 6.24780762e+02, 1.00256268e+03, 7.97592896e+02],\n", - " [1.30894058e+02, 2.45001404e+02, 2.11290817e+02, 3.91915436e+02],\n", - " [7.55710754e+02, 4.07648193e+02, 8.27270996e+02, 5.71986145e+02],\n", - " [9.35571899e+02, 1.47383926e+02, 1.00200372e+03, 2.90254272e+02],\n", - " [1.94423313e+01, 1.29394897e+02, 7.71510696e+01, 2.47917526e+02],\n", - " [1.57092102e+03, 2.84599819e+01, 1.63524963e+03, 1.48634338e+02],\n", - " [1.55363586e+03, 6.03194763e+02, 1.63815283e+03, 7.95905579e+02],\n", - " [5.21340179e+00, 3.53007812e+02, 6.54852829e+01, 5.01582672e+02],\n", - " [1.77551538e+03, 7.01271534e-01, 1.82472070e+03, 1.03597992e+02],\n", - " [1.41663818e+03, 8.02877991e+02, 1.52303406e+03, 9.89483215e+02],\n", - " [1.69958130e+03, 3.71370411e+00, 1.75367737e+03, 1.01128571e+02],\n", - " [1.80048694e+03, 2.65706558e+01, 1.87334143e+03, 2.17359726e+02],\n", - " [1.62105908e+03, 2.28840904e+01, 1.66928394e+03, 1.42089127e+02],\n", - " [1.00696008e+03, 6.03672302e+02, 1.08720654e+03, 7.90437622e+02],\n", - " [1.00804401e+03, 1.62422348e+02, 1.05278284e+03, 2.83480591e+02],\n", - " [5.48053551e+01, 6.74425842e+02, 1.64654144e+02, 8.79294861e+02],\n", - " [1.38401953e+03, 4.96182728e+00, 1.42792078e+03, 1.48903381e+02],\n", - " [3.37182831e+02, 4.47702789e+02, 4.00879822e+02, 6.00907166e+02],\n", - " [1.05490857e+03, 6.64576187e+01, 1.08621326e+03, 1.72298920e+02],\n", - " [1.12211145e+03, 9.76317627e+02, 1.24931604e+03, 1.07984497e+03],\n", - " [1.84768127e+03, 6.62666992e+02, 1.92385327e+03, 8.35329712e+02],\n", - " [3.88599426e+02, 4.73300964e+02, 4.61150482e+02, 6.33216370e+02],\n", - " [9.99453918e+02, 4.84177742e+01, 1.03885571e+03, 1.65241745e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6371441 , 0.6246842 , 0.87818277, 0.4869586 , 0.8356594 ,\n", - " 0.740188 , 0.5665475 , 0.6089093 , 0.8184094 , 0.5869876 ,\n", - " 0.52243274, 0.6786872 , 0.49284756, 0.7338133 , 0.5347761 ,\n", - " 0.6832837 , 0.7012552 , 0.54007274, 0.5700475 , 0.5549185 ,\n", - " 0.5445281 , 0.81416994, 0.33939227, 0.38723484, 0.39061147],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 45, 98, 13, 97, 99]), data={'frame_number': ['333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333', '333']}),\n", - " Detections(xyxy=array([[1275.3436 , 16.052923 , 1326.3356 , 142.63077 ],\n", - " [ 742.78644 , 105.74023 , 797.08044 , 246.20671 ],\n", - " [ 930.51556 , 630.07 , 1002.67456 , 802.688 ],\n", - " [ 129.07483 , 248.78781 , 209.32701 , 395.24295 ],\n", - " [ 758.1917 , 403.5317 , 828.22906 , 565.188 ],\n", - " [ 937.77185 , 149.45331 , 1003.7197 , 292.4064 ],\n", - " [ 18.871372 , 129.15266 , 76.691826 , 249.2476 ],\n", - " [1566.7323 , 24.416538 , 1631.6749 , 147.0356 ],\n", - " [1555.4824 , 596.24225 , 1637.114 , 783.41656 ],\n", - " [ 6.0667157, 354.6752 , 66.59125 , 500.40933 ],\n", - " [1768.2274 , 2.066877 , 1818.8542 , 107.38019 ],\n", - " [1417.7329 , 795.261 , 1516.4814 , 970.1561 ],\n", - " [1698.2087 , 3.732056 , 1752.4021 , 99.662155 ],\n", - " [1799.6824 , 25.220137 , 1872.1063 , 217.20401 ],\n", - " [1616.3867 , 21.903004 , 1664.594 , 140.86467 ],\n", - " [1004.5679 , 598.67267 , 1084.7064 , 787.758 ],\n", - " [1008.2267 , 163.2427 , 1054.2874 , 288.9684 ],\n", - " [ 59.827206 , 679.6006 , 168.57593 , 883.1949 ],\n", - " [1384.2656 , 6.141315 , 1427.8485 , 148.8196 ],\n", - " [ 337.30563 , 446.43628 , 401.53162 , 600.78064 ],\n", - " [1054.9702 , 64.39085 , 1086.3334 , 169.90056 ],\n", - " [1117.9653 , 968.00745 , 1251.993 , 1079.9248 ],\n", - " [1850.0779 , 668.1769 , 1922.2788 , 833.3683 ],\n", - " [ 389.31415 , 471.71094 , 462.28915 , 633.59875 ],\n", - " [1000.8289 , 54.06122 , 1038.4934 , 164.54524 ],\n", - " [1370.7512 , 948.7979 , 1534.1724 , 1079.0869 ],\n", - " [1050.2039 , 17.874146 , 1084.4585 , 170.77055 ]],\n", - " dtype=float32), mask=None, confidence=array([0.69391644, 0.59735847, 0.8423439 , 0.4750294 , 0.80771196,\n", - " 0.7492695 , 0.5637278 , 0.60923845, 0.83523333, 0.5244007 ,\n", - " 0.5080458 , 0.7774873 , 0.5257431 , 0.6101602 , 0.5906728 ,\n", - " 0.7008412 , 0.6034788 , 0.50097704, 0.59586084, 0.5253578 ,\n", - " 0.4719166 , 0.8540174 , 0.51456827, 0.35917932, 0.41217035,\n", - " 0.39537743, 0.361716 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 45, 98, 13, 97, 99, 96, 94]), data={'frame_number': ['334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334', '334']}),\n", - " Detections(xyxy=array([[1.27616016e+03, 1.27311029e+01, 1.32733411e+03, 1.39568054e+02],\n", - " [7.43778381e+02, 1.02448296e+02, 7.98427429e+02, 2.44396317e+02],\n", - " [9.29914856e+02, 6.34566406e+02, 1.00460101e+03, 8.12476562e+02],\n", - " [1.27499283e+02, 2.50168518e+02, 2.07530380e+02, 3.95773682e+02],\n", - " [7.59419678e+02, 4.00111145e+02, 8.26966187e+02, 5.56086792e+02],\n", - " [9.39213257e+02, 1.52178574e+02, 1.00503833e+03, 2.96485992e+02],\n", - " [1.76921730e+01, 1.28401657e+02, 7.55732727e+01, 2.49751968e+02],\n", - " [1.56330603e+03, 2.16244965e+01, 1.62840588e+03, 1.45827576e+02],\n", - " [1.55753064e+03, 5.89811096e+02, 1.63528137e+03, 7.67520691e+02],\n", - " [5.54261255e+00, 3.54599304e+02, 6.78034286e+01, 5.01882568e+02],\n", - " [1.76540747e+03, 1.92120624e+00, 1.81626880e+03, 1.06826492e+02],\n", - " [1.41828491e+03, 7.88583069e+02, 1.51388525e+03, 9.59510010e+02],\n", - " [1.69612524e+03, 3.08068156e+00, 1.75162817e+03, 9.98909683e+01],\n", - " [1.79873792e+03, 2.41543808e+01, 1.87039575e+03, 2.15894150e+02],\n", - " [1.61354443e+03, 2.02523937e+01, 1.66281812e+03, 1.40463226e+02],\n", - " [1.00227911e+03, 5.92973145e+02, 1.08273572e+03, 7.85539368e+02],\n", - " [1.00812775e+03, 1.64813477e+02, 1.05436023e+03, 2.91664825e+02],\n", - " [6.22274246e+01, 6.82811157e+02, 1.70702560e+02, 8.87144287e+02],\n", - " [1.38395349e+03, 5.93913555e+00, 1.42754712e+03, 1.48141434e+02],\n", - " [3.36882935e+02, 4.45976593e+02, 4.00908417e+02, 6.00092224e+02],\n", - " [1.05314209e+03, 5.42799568e+01, 1.08685803e+03, 1.68448181e+02],\n", - " [1.11451855e+03, 9.59838318e+02, 1.25426355e+03, 1.07995898e+03],\n", - " [1.85164355e+03, 6.70718079e+02, 1.92297339e+03, 8.36546570e+02],\n", - " [3.89937805e+02, 4.70469025e+02, 4.62973907e+02, 6.33751587e+02],\n", - " [1.00254938e+03, 5.52912102e+01, 1.04125488e+03, 1.68491547e+02],\n", - " [1.87400549e+03, 3.12399994e+02, 1.91779443e+03, 4.50799988e+02],\n", - " [1.36883057e+03, 9.40477295e+02, 1.53594409e+03, 1.07819922e+03],\n", - " [1.05025769e+03, 1.64879761e+01, 1.08476624e+03, 1.69233749e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6905542 , 0.6331626 , 0.76741874, 0.45601645, 0.7783562 ,\n", - " 0.72374356, 0.5823715 , 0.6594768 , 0.8413075 , 0.63350594,\n", - " 0.4832913 , 0.779269 , 0.4921158 , 0.56985885, 0.60654944,\n", - " 0.6500133 , 0.65436065, 0.5934272 , 0.6172317 , 0.5462067 ,\n", - " 0.48278713, 0.87117517, 0.35938054, 0.43184847, 0.44769302,\n", - " 0.42757165, 0.51034445, 0.3700922 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77,\n", - " 79, 91, 69, 68, 84, 35, 29, 45, 98, 13, 97, 99, 100,\n", - " 96, 94]), data={'frame_number': ['335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335', '335']}),\n", - " Detections(xyxy=array([[1.27688635e+03, 1.02283249e+01, 1.32726172e+03, 1.34524139e+02],\n", - " [7.44851257e+02, 9.99800720e+01, 7.99523376e+02, 2.42501587e+02],\n", - " [9.30370056e+02, 6.39416504e+02, 1.00594000e+03, 8.18649292e+02],\n", - " [1.26364426e+02, 2.49963272e+02, 2.06123032e+02, 3.94574127e+02],\n", - " [7.59998840e+02, 3.96292084e+02, 8.26340088e+02, 5.49450073e+02],\n", - " [9.39898071e+02, 1.53822174e+02, 1.00534521e+03, 2.99296875e+02],\n", - " [1.72879181e+01, 1.28116104e+02, 7.51716537e+01, 2.50599609e+02],\n", - " [1.55969531e+03, 2.19321899e+01, 1.62507080e+03, 1.47392792e+02],\n", - " [1.55921594e+03, 5.84941956e+02, 1.63561230e+03, 7.57761597e+02],\n", - " [5.43270540e+00, 3.53879730e+02, 6.87867661e+01, 5.01074463e+02],\n", - " [1.76478210e+03, 1.21478748e+00, 1.81634998e+03, 1.05991325e+02],\n", - " [1.41971802e+03, 7.82991882e+02, 1.51176697e+03, 9.48464294e+02],\n", - " [1.69451685e+03, 2.86012340e+00, 1.75096924e+03, 1.00039238e+02],\n", - " [1.79872498e+03, 2.45112400e+01, 1.86949072e+03, 2.14796112e+02],\n", - " [1.60938867e+03, 1.83543510e+01, 1.65950403e+03, 1.39702011e+02],\n", - " [9.99032227e+02, 5.88973694e+02, 1.07804041e+03, 7.80231018e+02],\n", - " [1.00804431e+03, 1.66026459e+02, 1.05439636e+03, 2.93280670e+02],\n", - " [6.32967567e+01, 6.85895996e+02, 1.71791763e+02, 8.91772156e+02],\n", - " [1.38387512e+03, 7.20097494e+00, 1.42738257e+03, 1.48565369e+02],\n", - " [3.36740509e+02, 4.45822754e+02, 4.00635529e+02, 5.99852051e+02],\n", - " [1.05335608e+03, 5.19435806e+01, 1.08746399e+03, 1.67945816e+02],\n", - " [1.11240076e+03, 9.54820923e+02, 1.25347083e+03, 1.07997424e+03],\n", - " [1.85029712e+03, 6.76200928e+02, 1.92241406e+03, 8.45652161e+02],\n", - 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0, 0]), tracker_id=array([ 51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77,\n", - " 79, 91, 69, 68, 84, 35, 29, 45, 98, 13, 97, 99, 100,\n", - " 96, 94, 101]), data={'frame_number': ['336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336', '336']}),\n", - " Detections(xyxy=array([[1.27708228e+03, 8.04024601e+00, 1.32727100e+03, 1.31372925e+02],\n", - " [7.45018005e+02, 9.78229675e+01, 7.99477234e+02, 2.39913666e+02],\n", - " [9.29703308e+02, 6.43094238e+02, 1.00859204e+03, 8.30088806e+02],\n", - " [1.24545547e+02, 2.51145859e+02, 2.05060196e+02, 3.96698914e+02],\n", - " [7.60784607e+02, 3.92999725e+02, 8.25513977e+02, 5.42464355e+02],\n", - " [9.41281006e+02, 1.55054779e+02, 1.00625848e+03, 3.01623871e+02],\n", - " [1.75930805e+01, 1.28010040e+02, 7.52844315e+01, 2.50918335e+02],\n", - " [1.55680481e+03, 2.21124382e+01, 1.62158252e+03, 1.46075455e+02],\n", - " [1.56051270e+03, 5.79314453e+02, 1.63700818e+03, 7.51080322e+02],\n", - " [5.35342264e+00, 3.57529572e+02, 6.98061676e+01, 5.04679260e+02],\n", - " [1.76360950e+03, 9.61339653e-01, 1.81548718e+03, 1.05047379e+02],\n", - " [1.41963965e+03, 7.77799988e+02, 1.51031995e+03, 9.41273499e+02],\n", - " [1.69336401e+03, 2.79794383e+00, 1.75007397e+03, 9.94966736e+01],\n", - " [1.79842578e+03, 2.47467060e+01, 1.86821765e+03, 2.12457733e+02],\n", - " [1.60815356e+03, 1.70230293e+01, 1.65747046e+03, 1.37486328e+02],\n", - " [9.95375549e+02, 5.86291321e+02, 1.07297192e+03, 7.75682983e+02],\n", - " [1.00889417e+03, 1.66443787e+02, 1.05415332e+03, 2.90547150e+02],\n", - " [1.38417468e+03, 7.68670225e+00, 1.42764514e+03, 1.48741287e+02],\n", - " [3.36305939e+02, 4.45122314e+02, 4.00240540e+02, 5.99781555e+02],\n", - " [1.05389307e+03, 5.37616501e+01, 1.08722656e+03, 1.67869308e+02],\n", - " [1.11048022e+03, 9.48643555e+02, 1.25361560e+03, 1.07998169e+03],\n", - " [1.85167480e+03, 6.78105774e+02, 1.92425537e+03, 8.52248230e+02],\n", - " [3.90579834e+02, 4.69612152e+02, 4.62895966e+02, 6.33609497e+02],\n", - " [1.00530103e+03, 5.72340698e+01, 1.04552258e+03, 1.73221085e+02],\n", - " [1.86482446e+03, 3.01919067e+02, 1.91329211e+03, 4.53329254e+02],\n", - " [1.36384778e+03, 9.26299561e+02, 1.53587463e+03, 1.07846375e+03],\n", - " [4.46872375e+02, 4.68181091e+02, 5.13493774e+02, 6.07818909e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.69174314, 0.62983996, 0.8076521 , 0.4219134 , 0.81058335,\n", - " 0.7003125 , 0.60306716, 0.60577 , 0.7559887 , 0.47552958,\n", - " 0.51491547, 0.7345225 , 0.47935694, 0.48485872, 0.5466329 ,\n", - " 0.67521334, 0.46449578, 0.55076545, 0.50788075, 0.47274017,\n", - " 0.8687712 , 0.36684057, 0.44668257, 0.45732215, 0.5153092 ,\n", - " 0.7073776 , 0.38449758], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77,\n", - " 79, 91, 69, 68, 35, 29, 45, 98, 13, 97, 99, 100, 96,\n", - " 101]), data={'frame_number': ['337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337', '337']}),\n", - " Detections(xyxy=array([[1.27731372e+03, 7.30423832e+00, 1.32708301e+03, 1.28960571e+02],\n", - " [7.45136047e+02, 9.64462814e+01, 8.00023987e+02, 2.39709656e+02],\n", - " [9.29069580e+02, 6.46976807e+02, 1.00800684e+03, 8.34282410e+02],\n", - " [1.21571152e+02, 2.52198578e+02, 2.02398682e+02, 3.98101868e+02],\n", - " [7.61223755e+02, 3.89231903e+02, 8.25707886e+02, 5.38030884e+02],\n", - " [9.42317688e+02, 1.58103439e+02, 1.00604034e+03, 3.03104675e+02],\n", - " [1.76991673e+01, 1.28630798e+02, 7.47451782e+01, 2.51033340e+02],\n", - " [1.55285181e+03, 2.29088917e+01, 1.61739111e+03, 1.46284103e+02],\n", - " [1.55993262e+03, 5.74755615e+02, 1.63783997e+03, 7.48200378e+02],\n", - " [3.89919066e+00, 3.59537018e+02, 7.15678635e+01, 5.12604980e+02],\n", - " [1.76283069e+03, 8.79444838e-01, 1.81498962e+03, 1.04062454e+02],\n", - " [1.41841821e+03, 7.72751587e+02, 1.50902917e+03, 9.36875183e+02],\n", - " [1.69112610e+03, 2.79408312e+00, 1.74833704e+03, 9.93585663e+01],\n", - " [1.79769336e+03, 2.22726688e+01, 1.86778540e+03, 2.09644409e+02],\n", - " [1.60733325e+03, 1.59093361e+01, 1.65597607e+03, 1.36698624e+02],\n", - " [9.92684937e+02, 5.82792236e+02, 1.06731519e+03, 7.65504028e+02],\n", - " [1.01354761e+03, 1.66545486e+02, 1.05301282e+03, 2.72175507e+02],\n", - " [1.38501660e+03, 8.53634071e+00, 1.42833167e+03, 1.48819534e+02],\n", - " [3.35798126e+02, 4.44875671e+02, 3.99768097e+02, 6.00432922e+02],\n", - " [1.05472363e+03, 5.45810509e+01, 1.08781165e+03, 1.68610672e+02],\n", - " [1.11032092e+03, 9.45086243e+02, 1.25247766e+03, 1.07998535e+03],\n", - " [1.85291077e+03, 6.81314941e+02, 1.92419373e+03, 8.55282837e+02],\n", - 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1.52536536e+03, 1.07116833e+03],\n", - " [7.02829361e+01, 6.94312134e+02, 1.74194351e+02, 8.92945129e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7484041 , 0.5649883 , 0.55705434, 0.5018337 , 0.87288207,\n", - " 0.7190826 , 0.5919944 , 0.71253526, 0.73010397, 0.5642562 ,\n", - " 0.49654156, 0.7521143 , 0.62270045, 0.53541845, 0.6459871 ,\n", - " 0.691257 , 0.3476938 , 0.5999004 , 0.46084607, 0.5447112 ,\n", - " 0.83469653, 0.48595154, 0.40196255, 0.687321 , 0.39896464,\n", - " 0.6006303 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77,\n", - " 79, 91, 69, 68, 35, 29, 45, 98, 97, 99, 100, 96, 84]), data={'frame_number': ['339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339', '339']}),\n", - " Detections(xyxy=array([[1.27887048e+03, 4.87362385e+00, 1.32730042e+03, 1.23393845e+02],\n", - " [7.48171875e+02, 9.62293243e+01, 7.99969360e+02, 2.30950394e+02],\n", - " [9.35160217e+02, 6.57897583e+02, 1.00744055e+03, 8.26762573e+02],\n", - " [1.18251266e+02, 2.55096436e+02, 1.98666412e+02, 3.99347595e+02],\n", - " [7.60942383e+02, 3.82109070e+02, 8.27436951e+02, 5.35227600e+02],\n", - " [9.46023376e+02, 1.64037491e+02, 1.00733966e+03, 3.05953979e+02],\n", - " [1.73734589e+01, 1.30528961e+02, 7.34084778e+01, 2.51985855e+02],\n", - " [1.54481384e+03, 2.09459190e+01, 1.61024146e+03, 1.46077301e+02],\n", - " [1.56270044e+03, 5.69466431e+02, 1.64278003e+03, 7.45864197e+02],\n", - " [1.81051183e+00, 3.64886780e+02, 7.34873428e+01, 5.25734192e+02],\n", - " [1.76089075e+03, 6.22977197e-01, 1.80996899e+03, 9.59623566e+01],\n", - " [1.41317310e+03, 7.60939209e+02, 1.51116370e+03, 9.42280212e+02],\n", - " [1.68590735e+03, 1.24955845e+00, 1.74432605e+03, 1.00316986e+02],\n", - " [1.79590356e+03, 2.11759567e+01, 1.86419519e+03, 2.01623688e+02],\n", - " [1.60408093e+03, 1.11426458e+01, 1.65065796e+03, 1.28884369e+02],\n", - " [9.89172363e+02, 5.72526489e+02, 1.05858081e+03, 7.40291504e+02],\n", - " [1.01283887e+03, 1.69682602e+02, 1.05729895e+03, 2.87053528e+02],\n", - " [1.38646863e+03, 1.17159481e+01, 1.42921924e+03, 1.48884933e+02],\n", - " [3.34857849e+02, 4.42972015e+02, 3.99439331e+02, 6.01712036e+02],\n", - " [1.05360120e+03, 5.24234200e+01, 1.08688940e+03, 1.66664688e+02],\n", - " [1.10937549e+03, 9.34286682e+02, 1.25206287e+03, 1.07998901e+03],\n", - " [3.90804932e+02, 4.69919006e+02, 4.61586548e+02, 6.32992981e+02],\n", - " [1.01044318e+03, 5.82339249e+01, 1.05071130e+03, 1.73958694e+02],\n", - " [1.85474951e+03, 2.62480865e+02, 1.91462146e+03, 4.45995667e+02],\n", - " [7.20434036e+01, 6.97224915e+02, 1.73635971e+02, 8.93093445e+02],\n", - " [4.35049103e+02, 4.65180481e+02, 5.02661591e+02, 6.05194031e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7344425 , 0.6209385 , 0.4834437 , 0.48679146, 0.87016845,\n", - " 0.75057304, 0.5483433 , 0.64650065, 0.6987432 , 0.6165891 ,\n", - " 0.3925723 , 0.75626487, 0.5923133 , 0.6210421 , 0.678559 ,\n", - " 0.5037846 , 0.4506774 , 0.62601507, 0.52561754, 0.53728795,\n", - " 0.8456347 , 0.51265925, 0.3640512 , 0.7416783 , 0.7073792 ,\n", - " 0.3199532 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77,\n", - " 79, 91, 69, 68, 35, 29, 45, 98, 97, 99, 100, 84, 101]), data={'frame_number': ['340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340', '340']}),\n", - " Detections(xyxy=array([[1.27796191e+03, 3.02368665e+00, 1.32701892e+03, 1.22954269e+02],\n", - " [7.48098450e+02, 9.54551697e+01, 8.00296326e+02, 2.31389755e+02],\n", - " [9.32518494e+02, 6.62015808e+02, 1.01069183e+03, 8.46177124e+02],\n", - " [1.16891418e+02, 2.56168884e+02, 1.97251587e+02, 3.99584686e+02],\n", - " [7.61453918e+02, 3.80890778e+02, 8.28843445e+02, 5.35801331e+02],\n", - " [9.47710266e+02, 1.65952896e+02, 1.00796161e+03, 3.05861053e+02],\n", - " [1.67903595e+01, 1.30241165e+02, 7.30428314e+01, 2.52735138e+02],\n", - " [1.54422839e+03, 2.12722282e+01, 1.60864343e+03, 1.45075073e+02],\n", - " [1.56234021e+03, 5.67643799e+02, 1.64354028e+03, 7.46247070e+02],\n", - " [2.10306835e+00, 3.68086884e+02, 7.39602203e+01, 5.28230042e+02],\n", - " [1.75896094e+03, 1.18998863e-01, 1.80820276e+03, 9.54845886e+01],\n", - " [1.41241724e+03, 7.57065369e+02, 1.51046118e+03, 9.39896179e+02],\n", - " [1.68462659e+03, 2.68715233e-01, 1.74361536e+03, 1.01123596e+02],\n", - " [1.79468298e+03, 1.98313885e+01, 1.86261340e+03, 1.97804306e+02],\n", - " [1.60233484e+03, 1.12076244e+01, 1.64755591e+03, 1.25692215e+02],\n", - " [9.86381714e+02, 5.68126221e+02, 1.05537573e+03, 7.34129517e+02],\n", - " [1.01236023e+03, 1.70923843e+02, 1.05874878e+03, 2.94055511e+02],\n", - " [1.38702283e+03, 1.26920843e+01, 1.42972510e+03, 1.48901718e+02],\n", - " [3.34989624e+02, 4.42799255e+02, 3.99730194e+02, 6.01855957e+02],\n", - " [1.05441589e+03, 5.02992783e+01, 1.08782568e+03, 1.64379364e+02],\n", - " [1.10963257e+03, 9.29251099e+02, 1.25161194e+03, 1.07999023e+03],\n", - " [3.91778870e+02, 4.70546814e+02, 4.61863068e+02, 6.32921753e+02],\n", - " [1.01207178e+03, 5.91298485e+01, 1.05257751e+03, 1.74317902e+02],\n", - " [1.85452368e+03, 2.59763885e+02, 1.91465417e+03, 4.42426117e+02],\n", - " [7.40713348e+01, 7.00195435e+02, 1.73339691e+02, 8.93139465e+02],\n", - " [4.30643311e+02, 4.64881470e+02, 4.99401978e+02, 6.04872559e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7181003 , 0.6340962 , 0.5034675 , 0.431374 , 0.882427 ,\n", - " 0.7826874 , 0.589562 , 0.61368126, 0.6132028 , 0.6212006 ,\n", - " 0.31379288, 0.7623647 , 0.54187846, 0.6230052 , 0.6601951 ,\n", - " 0.5993861 , 0.5459779 , 0.61487955, 0.47823077, 0.47379288,\n", - " 0.84011865, 0.4664001 , 0.40342227, 0.71957475, 0.41631815,\n", - " 0.3101427 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77,\n", - " 79, 91, 69, 68, 35, 29, 45, 98, 97, 99, 100, 84, 101]), data={'frame_number': ['341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341', '341']})]" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "Detections: 341\n", + "Detections(xyxy=array([[1142., 950., 1245., 1080.],\n", + " [ 750., 450., 823., 620.],\n", + " [1419., 702., 1526., 887.],\n", + " [1674., 12., 1727., 141.],\n", + " [1616., 18., 1655., 127.],\n", + " [1388., 2., 1437., 184.]], dtype=float32), mask=None, confidence=array([0.7678498 , 0.7482683 , 0.5502863 , 0.5468636 , 0.5205659 ,\n", + " 0.31684005], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0]), tracker_id=array([185, 168, 179, 174, 181, 28]), data={'class_name': ['person', 'person', 'person', 'person', 'person', 'person'], 'frame_number': ['1', '1', '1', '1', '1', '1']})\n" + ] } ], "source": [ "detections_list = csv_to_detections(FILE_NAME)\n", - "detections_list" + "detections_list\n", + "\n", + "print(f\"Detections: {len(detections_list)}\")\n", + "print(detections_list[0])" ] }, { @@ -12929,7 +636,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 40, "metadata": { "id": "YRYFmKxR05xG" }, @@ -12958,7 +665,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 41, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -12970,7 +677,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] diff --git a/docs/notebooks/serialise-detections-to-json.ipynb b/docs/notebooks/serialise-detections-to-json.ipynb index 3014a4b7..13538631 100644 --- a/docs/notebooks/serialise-detections-to-json.ipynb +++ b/docs/notebooks/serialise-detections-to-json.ipynb @@ -37,7 +37,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 1, "metadata": { "id": "6vRfXc_Je5Ee" }, @@ -72,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 2, "metadata": { "id": "urRjZjh2f30v" }, @@ -121,7 +121,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -159,7 +159,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -174,7 +174,7 @@ "VideoInfo(width=1920, height=1080, fps=25, total_frames=341)" ] }, - "execution_count": 50, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -196,13 +196,13 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 5, "metadata": { "id": "Jpw_TzAsm2oL" }, "outputs": [], "source": [ - "byte_track = sv.ByteTrack()\n", + "byte_track = sv.ByteTrack(minimum_consecutive_frames=3)\n", "byte_track.reset()" ] }, @@ -221,7 +221,7 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 40, "metadata": { "id": "-yvv6N1uTKSl" }, @@ -246,7 +246,7 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 41, "metadata": { "id": "eRQiVkblapCk" }, @@ -254,14 +254,18 @@ "source": [ "def callback(predictions: dict, frame: VideoFrame) -> np.ndarray:\n", " detections = sv.Detections.from_inference(predictions)\n", + " \n", + " # Only keep person detections\n", " detections = detections[detections.class_id == 0]\n", + " detections.data[\"class_name\"] = np.array([\"person\" for _ in range(len(detections))])\n", + "\n", " detections = byte_track.update_with_detections(detections)\n", " json_sink.append(detections, custom_data={'frame_number': frame.frame_id})" ] }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 42, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -282,7 +286,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 43, "metadata": { "id": "bYpA9VxBsOvS" }, @@ -294,7 +298,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 44, "metadata": { "id": "KXbZt-FNVnrS" }, @@ -318,7 +322,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 45, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -356,63 +360,69 @@ " class_id\n", " confidence\n", " tracker_id\n", + " class_name\n", " frame_number\n", " \n", " \n", " \n", " \n", " 0\n", - " 1460.000000\n", - " 469.000000\n", - " 1544.000000\n", - " 641.000000\n", + " 1142\n", + " 950\n", + " 1245\n", + " 1080\n", " 0\n", - " 0.805656\n", - " 1\n", + " 0.767850\n", + " 365\n", + " person\n", " 1\n", " \n", " \n", " 1\n", - " 1447.000000\n", - " 320.000000\n", - " 1516.000000\n", - " 480.000000\n", + " 750\n", + " 450\n", + " 823\n", + " 620\n", " 0\n", - " 0.786558\n", - " 2\n", + " 0.748268\n", + " 348\n", + " person\n", " 1\n", " \n", " \n", " 2\n", - " 1142.000000\n", - " 950.000000\n", - " 1245.000000\n", - " 1080.000000\n", + " 1419\n", + " 702\n", + " 1526\n", + " 887\n", " 0\n", - " 0.767850\n", - " 3\n", + " 0.550286\n", + " 359\n", + " person\n", " 1\n", " \n", " \n", " 3\n", - " 259.000000\n", - " 435.000000\n", - " 326.000000\n", - " 610.000000\n", + " 1674\n", + " 12\n", + " 1727\n", + " 141\n", " 0\n", - " 0.765763\n", - " 4\n", + " 0.546864\n", + " 354\n", + " person\n", " 1\n", " \n", " \n", " 4\n", - " 665.000000\n", - " 649.000000\n", - " 744.000000\n", - " 851.000000\n", + " 1616\n", + " 18\n", + " 1655\n", + " 127\n", " 0\n", - " 0.765134\n", - " 5\n", + " 0.520566\n", + " 361\n", + " person\n", " 1\n", " \n", " \n", @@ -425,98 +435,104 @@ " ...\n", " ...\n", " ...\n", + " ...\n", " \n", " \n", - " 9024\n", - " 391.778870\n", - " 470.546814\n", - " 461.863068\n", - " 632.921753\n", + " 8757\n", + " 394\n", + " 471\n", + " 460\n", + " 633\n", " 0\n", " 0.466400\n", - " 97\n", + " 424\n", + " person\n", " 341\n", " \n", " \n", - " 9025\n", - " 1012.071777\n", - " 59.129848\n", - " 1052.577515\n", - " 174.317902\n", + " 8758\n", + " 115\n", + " 256\n", + " 199\n", + " 399\n", " 0\n", - " 0.403422\n", - " 99\n", + " 0.431374\n", + " 403\n", + " person\n", " 341\n", " \n", " \n", - " 9026\n", - " 1854.523682\n", - " 259.763885\n", - " 1914.654175\n", - " 442.426117\n", - " 0\n", - " 0.719575\n", - " 100\n", - " 341\n", - " \n", - " \n", - " 9027\n", - " 74.071335\n", - " 700.195435\n", - " 173.339691\n", - " 893.139465\n", + " 8759\n", + " 77\n", + " 700\n", + " 169\n", + " 892\n", " 0\n", " 0.416318\n", - " 84\n", + " 420\n", + " person\n", " 341\n", " \n", " \n", - " 9028\n", - " 430.643311\n", - " 464.881470\n", - " 499.401978\n", - " 604.872559\n", + " 8760\n", + " 1010\n", + " 59\n", + " 1055\n", + " 174\n", " 0\n", - " 0.310143\n", - " 101\n", + " 0.403422\n", + " 426\n", + " person\n", + " 341\n", + " \n", + " \n", + " 8761\n", + " 1758\n", + " 0\n", + " 1809\n", + " 96\n", + " 0\n", + " 0.313793\n", + " 416\n", + " person\n", " 341\n", " \n", " \n", "\n", - "

9029 rows \u00d7 8 columns

\n", + "

8762 rows \u00d7 9 columns

\n", "" ], "text/plain": [ - " x_min y_min x_max y_max class_id confidence \\\n", - "0 1460.000000 469.000000 1544.000000 641.000000 0 0.805656 \n", - "1 1447.000000 320.000000 1516.000000 480.000000 0 0.786558 \n", - "2 1142.000000 950.000000 1245.000000 1080.000000 0 0.767850 \n", - "3 259.000000 435.000000 326.000000 610.000000 0 0.765763 \n", - "4 665.000000 649.000000 744.000000 851.000000 0 0.765134 \n", - "... ... ... ... ... ... ... \n", - "9024 391.778870 470.546814 461.863068 632.921753 0 0.466400 \n", - "9025 1012.071777 59.129848 1052.577515 174.317902 0 0.403422 \n", - "9026 1854.523682 259.763885 1914.654175 442.426117 0 0.719575 \n", - "9027 74.071335 700.195435 173.339691 893.139465 0 0.416318 \n", - "9028 430.643311 464.881470 499.401978 604.872559 0 0.310143 \n", + " x_min y_min x_max y_max class_id confidence tracker_id class_name \\\n", + "0 1142 950 1245 1080 0 0.767850 365 person \n", + "1 750 450 823 620 0 0.748268 348 person \n", + "2 1419 702 1526 887 0 0.550286 359 person \n", + "3 1674 12 1727 141 0 0.546864 354 person \n", + "4 1616 18 1655 127 0 0.520566 361 person \n", + "... ... ... ... ... ... ... ... ... \n", + "8757 394 471 460 633 0 0.466400 424 person \n", + "8758 115 256 199 399 0 0.431374 403 person \n", + "8759 77 700 169 892 0 0.416318 420 person \n", + "8760 1010 59 1055 174 0 0.403422 426 person \n", + "8761 1758 0 1809 96 0 0.313793 416 person \n", "\n", - " tracker_id frame_number \n", - "0 1 1 \n", - "1 2 1 \n", - "2 3 1 \n", - "3 4 1 \n", - "4 5 1 \n", - "... ... ... \n", - "9024 97 341 \n", - "9025 99 341 \n", - "9026 100 341 \n", - "9027 84 341 \n", - "9028 101 341 \n", + " frame_number \n", + "0 1 \n", + "1 1 \n", + "2 1 \n", + "3 1 \n", + "4 1 \n", + "... ... \n", + "8757 341 \n", + "8758 341 \n", + "8759 341 \n", + "8760 341 \n", + "8761 341 \n", "\n", - "[9029 rows x 8 columns]" + "[8762 rows x 9 columns]" ] }, - "execution_count": 57, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" 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confidence=array([0.48181573, 0.8474688 , 0.83994 , 0.7040915 , 0.79863244,\n", - " 0.72661895, 0.61288965, 0.7520304 , 0.5045364 , 0.44948468,\n", - " 0.5387369 , 0.65655327, 0.55315703, 0.39275938, 0.503823 ,\n", - " 0.50904876, 0.40439993, 0.53666174, 0.3424793 , 0.48674142,\n", - " 0.37178814, 0.40038264, 0.3553111 , 0.48819977, 0.3775967 ,\n", - " 0.5549679 , 0.47570723, 0.495512 , 0.404155 , 0.44596425,\n", - " 0.34954435], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 20, 21, 22, 24, 27, 29, 31, 23, 34, 35, 15, 25, 28]), data={'frame_number': [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]}),\n", - " Detections(xyxy=array([[1473.7562 , 490.03516 , 1551.2169 , 648.4411 ],\n", - " [1460.0435 , 334.78625 , 1528.0258 , 490.8623 ],\n", - " [1123.8319 , 902.9467 , 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],\n", - " [1387.2966 , 1.9409239, 1443.7092 , 181.9941 ],\n", - " [ 45.59729 , 807.8989 , 143.6429 , 989.1573 ],\n", - " [ 725.1937 , 2.5585983, 765.5773 , 92.433685 ],\n", - " [1302.0153 , 5.4577756, 1344.6611 , 105.09656 ]],\n", - " dtype=float32), mask=None, confidence=array([0.57077867, 0.76679265, 0.5550649 , 0.7439174 , 0.806348 ,\n", - " 0.6287808 , 0.6047217 , 0.49934733, 0.5345876 , 0.53482133,\n", - " 0.54105127, 0.6458181 , 0.5473374 , 0.4867954 , 0.5371232 ,\n", - " 0.5036432 , 0.45141318, 0.5006808 , 0.361104 , 0.413945 ,\n", - " 0.3610831 , 0.41018718, 0.38015574, 0.3550932 , 0.42105192,\n", - " 0.6910728 , 0.4535978 , 0.43746734, 0.3902371 , 0.32082507],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 20, 21, 22, 24, 29, 31, 23, 34, 35, 15, 25, 28]), data={'frame_number': [9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9]}),\n", - " Detections(xyxy=array([[1.47469263e+03, 4.95624634e+02, 1.55639343e+03, 6.62523438e+02],\n", - " [1.46283179e+03, 3.43140320e+02, 1.53349792e+03, 5.05608826e+02],\n", - " [1.12049097e+03, 8.89918823e+02, 1.25641736e+03, 1.07728430e+03],\n", - " [2.50140701e+02, 4.64855774e+02, 3.21812408e+02, 6.40426941e+02],\n", - " [6.74508545e+02, 6.00233521e+02, 7.50095398e+02, 7.92497192e+02],\n", - " [7.52966675e+02, 4.17794647e+02, 8.18815430e+02, 5.74805664e+02],\n", - " [1.79770825e+03, 1.55897064e+02, 1.85863599e+03, 2.87414886e+02],\n", - " [1.20398535e+03, 1.11818253e+02, 1.25615894e+03, 2.48208298e+02],\n", - " [7.10841797e+02, 2.16294342e+02, 7.67889771e+02, 3.66009430e+02],\n", - " [2.28137817e+02, 2.97617226e+01, 2.89912628e+02, 1.44771637e+02],\n", - " [1.09296863e+03, 5.33406792e+01, 1.13689880e+03, 1.57803864e+02],\n", - " [1.39305432e+03, 7.08169678e+02, 1.49807202e+03, 8.87549500e+02],\n", - " [1.67904224e+03, 1.47348032e+01, 1.73505029e+03, 1.48444183e+02],\n", - " [5.69793945e+02, 2.79660797e+02, 6.33836182e+02, 4.17653320e+02],\n", - " [1.62175732e+03, 1.97449284e+01, 1.66067163e+03, 1.27677307e+02],\n", - " [1.17283264e+03, 1.38572678e+02, 1.21893494e+03, 2.57842346e+02],\n", - " [9.18291245e+01, 1.27301216e+02, 1.45159088e+02, 2.48863129e+02],\n", - " [9.25430969e+02, 1.89483002e+02, 9.81158081e+02, 3.24513824e+02],\n", - " [9.03751160e+02, 8.28196716e+01, 9.43683350e+02, 1.98243271e+02],\n", - " [7.98632751e+02, 7.19228668e+01, 8.40343750e+02, 1.92279892e+02],\n", - " [8.51882263e+02, 6.37371559e+01, 8.92712097e+02, 1.92796158e+02],\n", - " [1.58896436e+03, 1.89480877e+01, 1.63079626e+03, 1.24641037e+02],\n", - " [3.43525696e+02, 4.91880585e+02, 4.01398499e+02, 6.37857910e+02],\n", - " [3.75700165e+02, 9.92408848e+00, 4.21663818e+02, 1.25468422e+02],\n", - " [1.70035449e+03, 1.59755447e+02, 1.76630859e+03, 3.07357269e+02],\n", - " [1.84734290e+03, 6.47394836e+02, 1.92344141e+03, 8.37971558e+02],\n", - " [1.38703064e+03, 1.82428944e+00, 1.44323853e+03, 1.81234024e+02],\n", - " [4.81451302e+01, 8.08986877e+02, 1.46367935e+02, 9.89735718e+02],\n", - " [7.25437683e+02, 3.40511179e+00, 7.65337036e+02, 9.16035080e+01],\n", - " [9.87226135e+02, 1.13216148e+02, 1.04293738e+03, 2.53723083e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.53475 , 0.7722708 , 0.829975 , 0.75484836, 0.81226724,\n", - " 0.62932444, 0.6661068 , 0.44641212, 0.45320004, 0.4621664 ,\n", - " 0.528739 , 0.65719557, 0.52820295, 0.6087802 , 0.5293806 ,\n", - " 0.4178263 , 0.46833682, 0.5284926 , 0.41437942, 0.45302907,\n", - " 0.39826244, 0.35476407, 0.392907 , 0.4800076 , 0.41404808,\n", - " 0.6238171 , 0.39024618, 0.38107595, 0.42679095, 0.38477117],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 20, 21, 22, 24, 29, 31, 23, 34, 35, 15, 25, 33]), data={'frame_number': [10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10]}),\n", - " Detections(xyxy=array([[1.4755292e+03, 5.0129321e+02, 1.5583114e+03, 6.7027881e+02],\n", - " [1.4629800e+03, 3.4659683e+02, 1.5341847e+03, 5.1018567e+02],\n", - " [1.1200034e+03, 8.8527856e+02, 1.2528438e+03, 1.0718217e+03],\n", - " [2.4958005e+02, 4.6731473e+02, 3.2267276e+02, 6.4480096e+02],\n", - " [6.7468073e+02, 5.9782129e+02, 7.5123914e+02, 7.9276147e+02],\n", - " [7.5184766e+02, 4.1554538e+02, 8.1848828e+02, 5.7588562e+02],\n", - " [1.7978014e+03, 1.5627522e+02, 1.8593817e+03, 2.8823123e+02],\n", - " [1.2045608e+03, 1.0884772e+02, 1.2563116e+03, 2.4561932e+02],\n", - " [7.1107812e+02, 2.1597263e+02, 7.6734290e+02, 3.6355722e+02],\n", - " [2.3130760e+02, 2.6833277e+01, 2.9403952e+02, 1.4382112e+02],\n", - " [1.0928285e+03, 5.3344868e+01, 1.1366317e+03, 1.5682912e+02],\n", - " [1.3922628e+03, 7.0887152e+02, 1.4958892e+03, 8.8648407e+02],\n", - " [1.6794515e+03, 1.6373573e+01, 1.7356848e+03, 1.5046074e+02],\n", - " [5.6943457e+02, 2.8664676e+02, 6.3266046e+02, 4.2282239e+02],\n", - " [1.6216949e+03, 1.9988523e+01, 1.6608373e+03, 1.2790082e+02],\n", - " [1.1730504e+03, 1.3709830e+02, 1.2187688e+03, 2.5509882e+02],\n", - " [9.2589500e+01, 1.2840233e+02, 1.4521437e+02, 2.4882227e+02],\n", - " [9.2539117e+02, 1.9091562e+02, 9.8016101e+02, 3.2390417e+02],\n", - " [9.0487775e+02, 8.3378372e+01, 9.4370105e+02, 1.9568718e+02],\n", - " [7.9767163e+02, 7.1205627e+01, 8.3986328e+02, 1.9382159e+02],\n", - " [8.5141968e+02, 6.3640194e+01, 8.9199615e+02, 1.9282602e+02],\n", - " [1.5898987e+03, 1.8959801e+01, 1.6312512e+03, 1.2433023e+02],\n", - " [3.4294971e+02, 4.9050549e+02, 3.9931967e+02, 6.3316705e+02],\n", - " [3.7699744e+02, 9.1097431e+00, 4.2324203e+02, 1.2474036e+02],\n", - " [1.8462303e+03, 6.4542749e+02, 1.9225341e+03, 8.3704395e+02],\n", - " [1.3865629e+03, 2.5442178e+00, 1.4427369e+03, 1.8171318e+02],\n", - " [7.2494922e+02, 1.6508420e+00, 7.6585284e+02, 9.1395775e+01],\n", - " [1.6966608e+03, 9.1400002e+01, 1.7863392e+03, 3.0420001e+02],\n", - " [9.8668542e+02, 1.1427111e+02, 1.0429216e+03, 2.5568961e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.47303125, 0.77498686, 0.8092903 , 0.73588127, 0.83034205,\n", - " 0.64422596, 0.6744968 , 0.43937075, 0.49456808, 0.5088695 ,\n", - " 0.5165414 , 0.735908 , 0.5267669 , 0.5337224 , 0.53065217,\n", - " 0.401164 , 0.51645446, 0.5390071 , 0.33272687, 0.38811356,\n", - " 0.31039506, 0.35379815, 0.43664104, 0.4721255 , 0.68150616,\n", - " 0.36316648, 0.46171415, 0.36240268, 0.3491185 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 20, 21, 22, 24, 29, 31, 34, 35, 25, 37, 33]), data={'frame_number': [11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11]}),\n", - " Detections(xyxy=array([[1.4758683e+03, 5.0333737e+02, 1.5602388e+03, 6.7576544e+02],\n", - " [1.4628693e+03, 3.5044803e+02, 1.5351458e+03, 5.1644232e+02],\n", - " [1.1172527e+03, 8.8046393e+02, 1.2507664e+03, 1.0722969e+03],\n", - " [2.4854749e+02, 4.7077081e+02, 3.2253833e+02, 6.4894238e+02],\n", - " [6.7463690e+02, 5.9511230e+02, 7.5173413e+02, 7.9170227e+02],\n", - " [7.5058203e+02, 4.1481995e+02, 8.1659045e+02, 5.7573767e+02],\n", - " [1.7981934e+03, 1.5704710e+02, 1.8599219e+03, 2.8848425e+02],\n", - " [1.2050026e+03, 1.0645986e+02, 1.2567898e+03, 2.4471352e+02],\n", - " [7.1130579e+02, 2.1395033e+02, 7.6764435e+02, 3.6202710e+02],\n", - " [2.3418843e+02, 2.4464315e+01, 2.9697202e+02, 1.4218436e+02],\n", - " [1.0926022e+03, 5.3315693e+01, 1.1366842e+03, 1.5643703e+02],\n", - " [1.3900911e+03, 7.0978601e+02, 1.4924485e+03, 8.8676776e+02],\n", - " [1.6796859e+03, 1.8304832e+01, 1.7357880e+03, 1.5184511e+02],\n", - " [5.6927905e+02, 2.9131104e+02, 6.3219550e+02, 4.2676486e+02],\n", - " [1.6217900e+03, 1.9398851e+01, 1.6607314e+03, 1.2597027e+02],\n", - " [1.1726699e+03, 1.3457814e+02, 1.2184126e+03, 2.5217209e+02],\n", - " [9.2919456e+01, 1.2881776e+02, 1.4516904e+02, 2.4882558e+02],\n", - " [9.2600159e+02, 1.9138972e+02, 9.8050958e+02, 3.2361862e+02],\n", - " [9.0629022e+02, 7.8859779e+01, 9.4531824e+02, 1.9208409e+02],\n", - " [7.9693683e+02, 7.0284744e+01, 8.3941223e+02, 1.9442030e+02],\n", - " [8.5134283e+02, 6.2970787e+01, 8.9164606e+02, 1.9218350e+02],\n", - " [1.5906128e+03, 1.8967222e+01, 1.6316534e+03, 1.2419788e+02],\n", - " [3.4212354e+02, 4.8932974e+02, 3.9847940e+02, 6.3280859e+02],\n", - " [3.7730673e+02, 7.4761357e+00, 4.2382367e+02, 1.2316646e+02],\n", - " [1.8458496e+03, 6.4362158e+02, 1.9222168e+03, 8.3629492e+02],\n", - " [1.3853604e+03, 2.1055956e+00, 1.4414994e+03, 1.8118306e+02],\n", - " [7.2468140e+02, 3.6071271e-01, 7.6614410e+02, 9.0694641e+01],\n", - " [1.6984042e+03, 9.3413635e+01, 1.7869193e+03, 3.0327063e+02],\n", - " [9.8644232e+02, 1.1527849e+02, 1.0429680e+03, 2.5700412e+02],\n", - " [3.8944028e+02, 4.9639999e+02, 4.5675974e+02, 6.6820001e+02],\n", - " [5.4572414e+01, 8.1092487e+02, 1.5252029e+02, 9.8849017e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.543808 , 0.73424476, 0.80752325, 0.7320458 , 0.83668715,\n", - " 0.5976478 , 0.6972042 , 0.434889 , 0.5386827 , 0.4794286 ,\n", - " 0.55111593, 0.7459599 , 0.51143473, 0.5501023 , 0.52341545,\n", - " 0.37782198, 0.5506868 , 0.63986593, 0.3116889 , 0.40723097,\n", - " 0.33176607, 0.3650251 , 0.41972855, 0.5597423 , 0.7571516 ,\n", - " 0.3597949 , 0.41683212, 0.43374136, 0.39001417, 0.39669874,\n", - " 0.42633584], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 20, 21, 22, 24, 29, 31, 34, 35, 25, 37, 33, 39, 15]), data={'frame_number': [12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12]}),\n", - " Detections(xyxy=array([[1.47804443e+03, 5.09285339e+02, 1.56278345e+03, 6.82995361e+02],\n", - " [1.46496313e+03, 3.52453064e+02, 1.53789648e+03, 5.19333862e+02],\n", - " [1.11316479e+03, 8.72328735e+02, 1.24851953e+03, 1.07185571e+03],\n", - " [2.47213501e+02, 4.77254059e+02, 3.21484711e+02, 6.54319092e+02],\n", - " [6.73684326e+02, 5.87654785e+02, 7.51489807e+02, 7.87479004e+02],\n", - " [7.49399841e+02, 4.10030731e+02, 8.15945068e+02, 5.74468140e+02],\n", - " [1.79945093e+03, 1.58634781e+02, 1.86230212e+03, 2.92532379e+02],\n", - " [1.20611060e+03, 1.03631721e+02, 1.25467749e+03, 2.32474762e+02],\n", - " [7.12305481e+02, 2.11946442e+02, 7.66825195e+02, 3.54858582e+02],\n", - " [2.38018143e+02, 2.42962322e+01, 2.99066406e+02, 1.38961395e+02],\n", - " [1.09175830e+03, 5.73013916e+01, 1.13677734e+03, 1.61633484e+02],\n", - " [1.38511377e+03, 7.12117432e+02, 1.48479834e+03, 8.86208740e+02],\n", - " [1.67984607e+03, 2.03400841e+01, 1.73570081e+03, 1.52986465e+02],\n", - " [5.68623474e+02, 2.95666412e+02, 6.31270874e+02, 4.30844452e+02],\n", - " [1.62161047e+03, 1.84969692e+01, 1.66153198e+03, 1.26592392e+02],\n", - " [1.17326074e+03, 1.34386932e+02, 1.21884290e+03, 2.50532120e+02],\n", - " [9.18632050e+01, 1.26957397e+02, 1.44299835e+02, 2.48170197e+02],\n", - " [9.25012207e+02, 1.92185410e+02, 9.80510559e+02, 3.27503784e+02],\n", - " [7.96638977e+02, 6.86241760e+01, 8.39284180e+02, 1.94003174e+02],\n", - " [8.50467590e+02, 6.07530632e+01, 8.91048584e+02, 1.91953796e+02],\n", - " [1.59139258e+03, 1.83064594e+01, 1.63255713e+03, 1.24137924e+02],\n", - " [3.43256805e+02, 4.89596405e+02, 3.99455383e+02, 6.32706116e+02],\n", - " [3.78697083e+02, 6.22843361e+00, 4.23972717e+02, 1.18579155e+02],\n", - " [1.84510767e+03, 6.39763123e+02, 1.92204651e+03, 8.34862305e+02],\n", - " [1.38538428e+03, 5.72882593e-01, 1.44202014e+03, 1.81000534e+02],\n", - " [1.69943091e+03, 9.48621826e+01, 1.78822852e+03, 3.05321014e+02],\n", - " [9.86284363e+02, 1.15577782e+02, 1.04302637e+03, 2.57426544e+02],\n", - " [3.90970581e+02, 4.89935242e+02, 4.59693176e+02, 6.64967590e+02],\n", - " [6.04386940e+01, 8.13925232e+02, 1.58714218e+02, 9.87565247e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6020986 , 0.7595825 , 0.8179324 , 0.697662 , 0.8022044 ,\n", - " 0.70055664, 0.6548932 , 0.44009313, 0.3681957 , 0.4465897 ,\n", - " 0.5250599 , 0.6959586 , 0.51846665, 0.50795835, 0.47823447,\n", - " 0.35426182, 0.47099525, 0.6716826 , 0.47172788, 0.42445928,\n", - " 0.3556159 , 0.35815564, 0.3727963 , 0.76816726, 0.51231396,\n", - " 0.51567006, 0.38185138, 0.30642793, 0.3126571 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 21, 22, 24, 29, 31, 34, 35, 37, 33, 39, 15]), data={'frame_number': [13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13]}),\n", - " Detections(xyxy=array([[1.47971082e+03, 5.13423828e+02, 1.56479517e+03, 6.88252625e+02],\n", - " [1.46870349e+03, 3.55741364e+02, 1.54051587e+03, 5.19626160e+02],\n", - " [1.11143127e+03, 8.66130554e+02, 1.24719116e+03, 1.07170532e+03],\n", - " [2.45868530e+02, 4.80242279e+02, 3.20641479e+02, 6.56846985e+02],\n", - " [6.73151855e+02, 5.83014771e+02, 7.50218689e+02, 7.82056030e+02],\n", - " [7.49645691e+02, 4.07010437e+02, 8.15709167e+02, 5.72094360e+02],\n", - " [1.80097681e+03, 1.61178436e+02, 1.86341174e+03, 2.94000519e+02],\n", - " [1.20526990e+03, 1.01283867e+02, 1.25440906e+03, 2.31284119e+02],\n", - " [7.11403625e+02, 2.05904556e+02, 7.65074341e+02, 3.46149231e+02],\n", - " [2.40553879e+02, 2.36406994e+01, 3.00481689e+02, 1.36462448e+02],\n", - " [1.09044482e+03, 5.80936127e+01, 1.13713708e+03, 1.65536118e+02],\n", - " [1.38178772e+03, 7.12287842e+02, 1.47959790e+03, 8.85333801e+02],\n", - " [1.67993359e+03, 2.17394924e+01, 1.73625928e+03, 1.54700867e+02],\n", - " [5.68061523e+02, 2.97223389e+02, 6.31236023e+02, 4.33628235e+02],\n", - " [1.62245129e+03, 1.81621971e+01, 1.66221875e+03, 1.25499100e+02],\n", - " [1.17298096e+03, 1.32354797e+02, 1.21944470e+03, 2.50042374e+02],\n", - " [9.13108444e+01, 1.26266624e+02, 1.43459793e+02, 2.47273468e+02],\n", - " [9.23829224e+02, 1.93105164e+02, 9.80003967e+02, 3.30893280e+02],\n", - " [7.96893311e+02, 6.73532486e+01, 8.38891907e+02, 1.91875366e+02],\n", - " [8.50249268e+02, 5.92888374e+01, 8.90731750e+02, 1.91218765e+02],\n", - " [1.59186511e+03, 1.80612831e+01, 1.63331873e+03, 1.24770470e+02],\n", - " [3.80482574e+02, 5.80643082e+00, 4.24648376e+02, 1.15580849e+02],\n", - " [1.84276965e+03, 6.35153015e+02, 1.92069165e+03, 8.33146423e+02],\n", - " [1.38486389e+03, 3.23156901e-02, 1.44140491e+03, 1.80260315e+02],\n", - " [1.70003796e+03, 9.44978409e+01, 1.79052734e+03, 3.08978058e+02],\n", - " [9.86400757e+02, 1.16298134e+02, 1.04284998e+03, 2.56852448e+02],\n", - " [5.74796997e+02, 2.14991776e+02, 6.28130737e+02, 3.14849579e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.74829483, 0.80204993, 0.80376685, 0.68989635, 0.78663814,\n", - " 0.7210028 , 0.68936 , 0.43168023, 0.38241318, 0.38629094,\n", - " 0.4962868 , 0.71052706, 0.53086734, 0.5892946 , 0.4725955 ,\n", - " 0.33700228, 0.48457468, 0.67859435, 0.4926675 , 0.4300391 ,\n", - " 0.3873422 , 0.33710414, 0.74984515, 0.41009444, 0.64079475,\n", - " 0.32109275, 0.33806208], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 21, 22, 24, 31, 34, 35, 37, 33, 30]), data={'frame_number': [14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14]}),\n", - " Detections(xyxy=array([[ 1.48068042e+03, 5.15536438e+02, 1.56643408e+03,\n", - " 6.92736267e+02],\n", - " [ 1.47135059e+03, 3.59527618e+02, 1.54215198e+03,\n", - " 5.20241516e+02],\n", - " [ 1.10884680e+03, 8.61974670e+02, 1.24350720e+03,\n", - " 1.07167029e+03],\n", - " [ 2.45031952e+02, 4.81231018e+02, 3.20039185e+02,\n", - " 6.56972046e+02],\n", - " [ 6.73281982e+02, 5.77475281e+02, 7.49362122e+02,\n", - " 7.74843140e+02],\n", - " [ 7.50208984e+02, 4.02684021e+02, 8.15201111e+02,\n", - " 5.66662842e+02],\n", - " [ 1.80108264e+03, 1.64099213e+02, 1.86358069e+03,\n", - " 2.97151062e+02],\n", - " [ 1.20359668e+03, 9.64803238e+01, 1.25434766e+03,\n", - " 2.30921066e+02],\n", - " [ 7.10207825e+02, 1.99738785e+02, 7.63938538e+02,\n", - " 3.40356812e+02],\n", - " [ 2.43008575e+02, 2.21118679e+01, 3.01256592e+02,\n", - " 1.32248032e+02],\n", - " [ 1.08899854e+03, 5.90165825e+01, 1.13625037e+03,\n", - " 1.67621689e+02],\n", - " [ 1.37800818e+03, 7.10981079e+02, 1.47509607e+03,\n", - " 8.85019348e+02],\n", - " [ 1.67997571e+03, 2.28928280e+01, 1.73642053e+03,\n", - " 1.55299606e+02],\n", - " [ 5.67709778e+02, 2.99058167e+02, 6.30703125e+02,\n", - " 4.35256592e+02],\n", - " [ 1.62282129e+03, 1.87030754e+01, 1.66238696e+03,\n", - " 1.25090576e+02],\n", - " [ 1.17213794e+03, 1.30320755e+02, 1.21969971e+03,\n", - " 2.50609604e+02],\n", - " [ 9.07388306e+01, 1.25347733e+02, 1.42836365e+02,\n", - " 2.46950958e+02],\n", - " [ 9.23479187e+02, 1.95388351e+02, 9.79716797e+02,\n", - " 3.34107422e+02],\n", - " [ 7.97194275e+02, 6.49024734e+01, 8.39227966e+02,\n", - " 1.90422272e+02],\n", - " [ 8.49986877e+02, 5.87687111e+01, 8.90153687e+02,\n", - " 1.90291763e+02],\n", - " [ 1.59203040e+03, 1.79736214e+01, 1.63355896e+03,\n", - " 1.25001816e+02],\n", - " [ 3.79620972e+02, 4.32778597e+00, 4.24240448e+02,\n", - " 1.14570595e+02],\n", - " [ 1.84000916e+03, 6.32277954e+02, 1.91876196e+03,\n", - " 8.31981262e+02],\n", - " [ 1.38401990e+03, -1.45050764e-01, 1.44050122e+03,\n", - " 1.79996429e+02],\n", - " [ 1.69857251e+03, 9.43300552e+01, 1.79070996e+03,\n", - " 3.13015869e+02],\n", - " [ 1.70517505e+03, 1.83611832e+02, 1.76443420e+03,\n", - " 3.15009735e+02],\n", - " [ 3.41322235e+02, 4.91292389e+02, 3.98376495e+02,\n", - " 6.36653320e+02]], dtype=float32), mask=None, confidence=array([0.766446 , 0.84159553, 0.80717874, 0.7143651 , 0.7622952 ,\n", - " 0.6996334 , 0.6973609 , 0.508836 , 0.5535498 , 0.44232383,\n", - " 0.5096408 , 0.7263727 , 0.53764904, 0.54281026, 0.4725556 ,\n", - " 0.3339986 , 0.51279575, 0.62383056, 0.5088681 , 0.48592928,\n", - " 0.36938152, 0.34433836, 0.74183613, 0.48532683, 0.39961395,\n", - " 0.5265634 , 0.33773875], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 21, 22, 24, 31, 34, 35, 37, 23, 29]), data={'frame_number': [15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15]}),\n", - " Detections(xyxy=array([[1.48300488e+03, 5.16226868e+02, 1.56762378e+03, 6.91669617e+02],\n", - " [1.47394226e+03, 3.62827545e+02, 1.54302698e+03, 5.19005005e+02],\n", - " [1.10824744e+03, 8.57987427e+02, 1.24106885e+03, 1.07103674e+03],\n", - " [2.43466873e+02, 4.82794861e+02, 3.18460876e+02, 6.57524109e+02],\n", - " [6.72979980e+02, 5.72255737e+02, 7.48043640e+02, 7.67626343e+02],\n", - " [7.52345398e+02, 3.99180176e+02, 8.15116638e+02, 5.58735046e+02],\n", - " [1.80143652e+03, 1.66475067e+02, 1.86393396e+03, 3.00263153e+02],\n", - " [1.20303076e+03, 9.40995331e+01, 1.25361035e+03, 2.28222748e+02],\n", - " [7.09344299e+02, 1.96899612e+02, 7.62612793e+02, 3.36333954e+02],\n", - " [2.43787079e+02, 2.02556458e+01, 3.01418945e+02, 1.30086853e+02],\n", - " [1.08805823e+03, 5.99889107e+01, 1.13563562e+03, 1.69023102e+02],\n", - " [1.37566455e+03, 7.09808350e+02, 1.47193030e+03, 8.84912903e+02],\n", - " [1.67958838e+03, 2.32888107e+01, 1.73618042e+03, 1.55476746e+02],\n", - " [5.67493774e+02, 3.02324402e+02, 6.29924622e+02, 4.37110718e+02],\n", - " [1.62262720e+03, 1.89072323e+01, 1.66207605e+03, 1.24279984e+02],\n", - " [1.17140552e+03, 1.28948898e+02, 1.21951538e+03, 2.50233978e+02],\n", - " [8.99831619e+01, 1.25012932e+02, 1.41821030e+02, 2.46182678e+02],\n", - " [9.24333984e+02, 1.97532700e+02, 9.79949219e+02, 3.35271210e+02],\n", - " [7.96833008e+02, 6.20279846e+01, 8.39182922e+02, 1.89240311e+02],\n", - " [8.50218079e+02, 5.86111755e+01, 8.89626892e+02, 1.87969849e+02],\n", - " [1.59207898e+03, 1.79458885e+01, 1.63360303e+03, 1.25080185e+02],\n", - " [1.83685339e+03, 6.30047180e+02, 1.91620471e+03, 8.29679504e+02],\n", - " [1.38450159e+03, 4.83357042e-01, 1.44075000e+03, 1.79910583e+02],\n", - " [1.69869189e+03, 1.08192154e+02, 1.78656848e+03, 3.17139648e+02],\n", - " [1.70456396e+03, 1.85486832e+02, 1.76495776e+03, 3.18325500e+02],\n", - " [3.40825745e+02, 4.91705780e+02, 3.98235352e+02, 6.37596558e+02],\n", - " [5.73894043e+02, 2.17085281e+02, 6.28747314e+02, 3.19593781e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.73081285, 0.83260196, 0.80523777, 0.6421966 , 0.7961923 ,\n", - " 0.5671569 , 0.69437116, 0.52460635, 0.53654945, 0.43919152,\n", - " 0.5221428 , 0.7742598 , 0.5230784 , 0.48300028, 0.48325306,\n", - " 0.41974145, 0.49223462, 0.6195103 , 0.5459367 , 0.46859732,\n", - " 0.38399702, 0.7288937 , 0.45940107, 0.37086225, 0.49216515,\n", - " 0.35615706, 0.32922006], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 21, 22, 24, 34, 35, 37, 23, 29, 30]), data={'frame_number': [16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16]}),\n", - " Detections(xyxy=array([[1.48461951e+03, 5.17678894e+02, 1.56789246e+03, 6.90420044e+02],\n", - " [1.47575256e+03, 3.63251373e+02, 1.54504468e+03, 5.19092651e+02],\n", - " [1.10710864e+03, 8.54701904e+02, 1.23788501e+03, 1.07080908e+03],\n", - " [2.42875793e+02, 4.83922913e+02, 3.17259369e+02, 6.56264282e+02],\n", - " [6.73376465e+02, 5.66498413e+02, 7.46358887e+02, 7.57772583e+02],\n", - " [7.54277405e+02, 3.95996521e+02, 8.14674194e+02, 5.49841003e+02],\n", - " [1.80192761e+03, 1.67979645e+02, 1.86431702e+03, 3.02032806e+02],\n", - " [1.20302600e+03, 9.32891006e+01, 1.25311780e+03, 2.26630722e+02],\n", - " [7.08848083e+02, 1.94629868e+02, 7.61632629e+02, 3.32966095e+02],\n", - " [2.43864838e+02, 1.56094618e+01, 3.02165710e+02, 1.28027359e+02],\n", - " [1.08791858e+03, 6.29562531e+01, 1.13519177e+03, 1.70817017e+02],\n", - " [1.37311572e+03, 7.10017334e+02, 1.46734680e+03, 8.83555969e+02],\n", - " [1.67932788e+03, 2.34003468e+01, 1.73617175e+03, 1.56163788e+02],\n", - " [5.67238159e+02, 3.04138611e+02, 6.29147339e+02, 4.37721863e+02],\n", - " [1.62034351e+03, 1.89825420e+01, 1.66146521e+03, 1.26658127e+02],\n", - " [1.17172571e+03, 1.28488495e+02, 1.22013489e+03, 2.50167404e+02],\n", - " [8.97217407e+01, 1.24899460e+02, 1.41423172e+02, 2.45910019e+02],\n", - " [9.24961487e+02, 1.99619980e+02, 9.79747681e+02, 3.35641510e+02],\n", - " [7.96394653e+02, 6.09756584e+01, 8.38823242e+02, 1.89478027e+02],\n", - " [8.49682312e+02, 5.85917358e+01, 8.88745972e+02, 1.87110306e+02],\n", - " [1.59197424e+03, 1.79405403e+01, 1.63368787e+03, 1.25761436e+02],\n", - " [1.83477930e+03, 6.26053650e+02, 1.91486267e+03, 8.25608215e+02],\n", - " [1.38124524e+03, 1.40648329e+00, 1.43625464e+03, 1.79218765e+02],\n", - " [1.70103503e+03, 1.24484436e+02, 1.78337878e+03, 3.20609344e+02],\n", - " [1.70414563e+03, 1.83436752e+02, 1.76674255e+03, 3.21370422e+02],\n", - " [3.40438354e+02, 4.91857178e+02, 3.97741638e+02, 6.37265747e+02],\n", - " [5.73963501e+02, 2.18152252e+02, 6.28511169e+02, 3.19709290e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.69468176, 0.8345074 , 0.8227769 , 0.7250813 , 0.81958556,\n", - " 0.6205816 , 0.67434335, 0.5279275 , 0.36207145, 0.5348816 ,\n", - " 0.56678057, 0.85189354, 0.51869094, 0.45811552, 0.43037775,\n", - " 0.40435597, 0.4868595 , 0.57559276, 0.5121465 , 0.4465797 ,\n", - " 0.34240037, 0.8044373 , 0.49803257, 0.32696623, 0.5271479 ,\n", - " 0.41069454, 0.3245692 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18,\n", - " 19, 21, 22, 24, 34, 35, 37, 23, 29, 30]), data={'frame_number': [17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17]}),\n", - " Detections(xyxy=array([[1.4890038e+03, 5.2276080e+02, 1.5700769e+03, 6.8980511e+02],\n", - " [1.4768522e+03, 3.6597815e+02, 1.5485688e+03, 5.2705701e+02],\n", - " [1.1050536e+03, 8.4523151e+02, 1.2325360e+03, 1.0617075e+03],\n", - " [2.4113199e+02, 4.8622141e+02, 3.1439670e+02, 6.5565588e+02],\n", - " [6.7471027e+02, 5.5986890e+02, 7.4386615e+02, 7.4090863e+02],\n", - " [7.5473608e+02, 3.9024301e+02, 8.1345081e+02, 5.3926886e+02],\n", - " [1.8020016e+03, 1.7113422e+02, 1.8638607e+03, 3.0461273e+02],\n", - " [1.2030798e+03, 9.1745026e+01, 1.2528856e+03, 2.2479712e+02],\n", - " [7.0775092e+02, 1.9323831e+02, 7.6019672e+02, 3.3051480e+02],\n", - " [2.4755432e+02, 1.2616428e+01, 3.0524136e+02, 1.2534511e+02],\n", - " [1.0875724e+03, 6.4044395e+01, 1.1353319e+03, 1.7276253e+02],\n", - " [1.3653097e+03, 7.0941913e+02, 1.4587395e+03, 8.8305585e+02],\n", - " [1.6789629e+03, 2.3409607e+01, 1.7357485e+03, 1.5572340e+02],\n", - " [5.6727112e+02, 3.0539999e+02, 6.2873907e+02, 4.3786996e+02],\n", - " [1.6199003e+03, 1.9009190e+01, 1.6621388e+03, 1.2820305e+02],\n", - " [8.9016953e+01, 1.2553227e+02, 1.4056831e+02, 2.4582500e+02],\n", - " [9.2529492e+02, 2.0300934e+02, 9.8024524e+02, 3.3970242e+02],\n", - " [7.9567609e+02, 5.9959473e+01, 8.3793799e+02, 1.8893942e+02],\n", - " [8.4980548e+02, 5.8614990e+01, 8.8878040e+02, 1.8681375e+02],\n", - " [1.5915409e+03, 1.7942858e+01, 1.6334094e+03, 1.2666936e+02],\n", - " [1.8313590e+03, 6.1872833e+02, 1.9117690e+03, 8.1621881e+02],\n", - " [1.3810077e+03, 4.2014307e-01, 1.4363195e+03, 1.7964302e+02],\n", - " [1.7044867e+03, 1.8791339e+02, 1.7681914e+03, 3.2705557e+02],\n", - " [3.3976523e+02, 4.8926352e+02, 3.9810489e+02, 6.3647052e+02],\n", - " [1.7364462e+03, 9.6247650e+01, 1.7974032e+03, 2.0050366e+02],\n", - " [9.0982153e+02, 7.4744629e+01, 9.4864935e+02, 1.8772682e+02],\n", - " [6.9312805e+01, 8.1976465e+02, 1.6718987e+02, 9.8723151e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6950549 , 0.80665326, 0.80906665, 0.72317386, 0.82549936,\n", - " 0.7292315 , 0.67730665, 0.5158666 , 0.37696466, 0.5650953 ,\n", - " 0.61558694, 0.73479795, 0.52320457, 0.46677807, 0.4791845 ,\n", - " 0.5538597 , 0.6547561 , 0.58256537, 0.55593866, 0.35200772,\n", - " 0.8209913 , 0.44921708, 0.5975341 , 0.44626045, 0.42289144,\n", - " 0.35552445, 0.3584829 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 24, 34, 35, 23, 29, 27, 20, 15]), data={'frame_number': [18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18]}),\n", - " Detections(xyxy=array([[1.4921184e+03, 5.2589008e+02, 1.5719852e+03, 6.8876544e+02],\n", - " [1.4774613e+03, 3.7019867e+02, 1.5508900e+03, 5.3519391e+02],\n", - " [1.1040824e+03, 8.3850195e+02, 1.2268284e+03, 1.0516851e+03],\n", - " [2.3948666e+02, 4.8830219e+02, 3.1238251e+02, 6.5732141e+02],\n", - " [6.7627423e+02, 5.5493011e+02, 7.4390411e+02, 7.3145715e+02],\n", - " [7.5423816e+02, 3.8624252e+02, 8.1300909e+02, 5.3488129e+02],\n", - " [1.8020774e+03, 1.7293005e+02, 1.8635884e+03, 3.0617700e+02],\n", - " [1.2023805e+03, 9.0580894e+01, 1.2522003e+03, 2.2419536e+02],\n", - " [7.0451031e+02, 1.9150124e+02, 7.5784558e+02, 3.3107477e+02],\n", - " [2.5154518e+02, 1.0892288e+01, 3.0827124e+02, 1.2242373e+02],\n", - " [1.0883284e+03, 6.5730270e+01, 1.1358287e+03, 1.7344174e+02],\n", - " [1.3590231e+03, 7.0918817e+02, 1.4518457e+03, 8.8221967e+02],\n", - " [1.6790631e+03, 2.4043091e+01, 1.7340013e+03, 1.5154237e+02],\n", - " [5.6777942e+02, 3.0978564e+02, 6.2743872e+02, 4.3785178e+02],\n", - " [1.6218712e+03, 1.9675636e+01, 1.6635338e+03, 1.2747329e+02],\n", - " [8.8594345e+01, 1.2511705e+02, 1.4042146e+02, 2.4581020e+02],\n", - " [9.2541492e+02, 2.0554503e+02, 9.8109808e+02, 3.4380792e+02],\n", - " [7.9559271e+02, 5.9615166e+01, 8.3742767e+02, 1.8875983e+02],\n", - " [8.4948468e+02, 5.8651222e+01, 8.8852142e+02, 1.8672768e+02],\n", - " [1.5908461e+03, 1.8605364e+01, 1.6324789e+03, 1.2766088e+02],\n", - " [1.8299808e+03, 6.1413794e+02, 1.9101262e+03, 8.0814716e+02],\n", - " [1.3777598e+03, 7.2592193e-01, 1.4315719e+03, 1.7847929e+02],\n", - " [1.7055918e+03, 1.9084407e+02, 1.7690436e+03, 3.2848129e+02],\n", - " [3.3928308e+02, 4.8829819e+02, 3.9783060e+02, 6.3485052e+02],\n", - " [1.1463945e+03, 4.4560001e+02, 1.2148054e+03, 5.8040002e+02],\n", - " [1.7367145e+03, 9.7946541e+01, 1.7976505e+03, 2.0246552e+02],\n", - " [9.0926483e+02, 6.8377563e+01, 9.4939252e+02, 1.8622731e+02],\n", - " [7.0920868e+01, 8.2227783e+02, 1.7135263e+02, 9.8855652e+02],\n", - " [9.8691107e+02, 1.2291564e+02, 1.0441033e+03, 2.6477652e+02],\n", - " [3.8193875e+02, 3.5208588e+00, 4.2563721e+02, 1.0986938e+02],\n", - " [1.1706276e+03, 1.2047494e+02, 1.2185269e+03, 2.4080811e+02],\n", - " [5.7434955e+02, 2.2331310e+02, 6.2806415e+02, 3.2367087e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6931848 , 0.77244437, 0.7949796 , 0.67327684, 0.7862734 ,\n", - " 0.777331 , 0.6398593 , 0.4872512 , 0.6107496 , 0.60122365,\n", - " 0.6119969 , 0.7060862 , 0.4533603 , 0.49016127, 0.4311139 ,\n", - " 0.5971351 , 0.68651676, 0.53506595, 0.525618 , 0.31277412,\n", - " 0.78798294, 0.42232198, 0.6066795 , 0.46663353, 0.5105101 ,\n", - " 0.35901767, 0.32107872, 0.3044023 , 0.3000227 , 0.35484594,\n", - " 0.33502242, 0.31587487], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 24, 34, 35, 23, 29, 40, 27, 20, 15, 33, 31, 17, 30]), data={'frame_number': [19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19]}),\n", - " Detections(xyxy=array([[1.4933629e+03, 5.2759790e+02, 1.5731337e+03, 6.8895319e+02],\n", - " [1.4771700e+03, 3.7236703e+02, 1.5521686e+03, 5.4081946e+02],\n", - " [1.1043857e+03, 8.3286530e+02, 1.2227588e+03, 1.0426145e+03],\n", - " [2.3830154e+02, 4.9030789e+02, 3.1161606e+02, 6.6118262e+02],\n", - " [6.7551324e+02, 5.5130713e+02, 7.4321741e+02, 7.2693414e+02],\n", - " [7.5361914e+02, 3.8356519e+02, 8.1263159e+02, 5.3209998e+02],\n", - " [1.8020204e+03, 1.7420445e+02, 1.8635300e+03, 3.0801660e+02],\n", - " [1.2009242e+03, 8.8893219e+01, 1.2511624e+03, 2.2404829e+02],\n", - " [7.0142145e+02, 1.8962080e+02, 7.5559009e+02, 3.3072116e+02],\n", - " [2.5585986e+02, 9.6591520e+00, 3.1239459e+02, 1.2007962e+02],\n", - " [1.0885790e+03, 6.6321968e+01, 1.1360707e+03, 1.7363484e+02],\n", - " [1.3518044e+03, 7.0843158e+02, 1.4451167e+03, 8.8192212e+02],\n", - " [1.6794084e+03, 2.4918514e+01, 1.7330084e+03, 1.4857068e+02],\n", - " [5.6822711e+02, 3.1268384e+02, 6.2671088e+02, 4.3708954e+02],\n", - " [1.6220948e+03, 1.9928551e+01, 1.6645837e+03, 1.2984074e+02],\n", - " [8.8538429e+01, 1.2496857e+02, 1.4028384e+02, 2.4515637e+02],\n", - " [9.2554663e+02, 2.0710025e+02, 9.8133142e+02, 3.4529068e+02],\n", - " [7.9579553e+02, 5.9525738e+01, 8.3702081e+02, 1.8871605e+02],\n", - " [8.4877258e+02, 5.8689419e+01, 8.8771198e+02, 1.8605614e+02],\n", - " [1.5906650e+03, 1.8860817e+01, 1.6320068e+03, 1.2802461e+02],\n", - " [1.8297988e+03, 6.1126801e+02, 1.9079607e+03, 7.9592511e+02],\n", - " [1.3785223e+03, 8.5164654e-01, 1.4318625e+03, 1.7805023e+02],\n", - " [1.7059233e+03, 1.9183496e+02, 1.7700638e+03, 3.2957996e+02],\n", - " [3.3810074e+02, 4.8794742e+02, 3.9742386e+02, 6.3555719e+02],\n", - " [1.1447408e+03, 4.4436914e+02, 1.2124587e+03, 5.7778442e+02],\n", - " [1.7377898e+03, 9.9843666e+01, 1.7988083e+03, 2.0507521e+02],\n", - " [9.8638385e+02, 1.2472365e+02, 1.0433560e+03, 2.6535074e+02],\n", - " [3.8183878e+02, 2.8845875e+00, 4.2652527e+02, 1.0959387e+02],\n", - " [1.1690011e+03, 1.1679812e+02, 1.2174147e+03, 2.3890208e+02],\n", - " [5.7515515e+02, 2.2566129e+02, 6.2783362e+02, 3.2437610e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7389187 , 0.8048488 , 0.8034867 , 0.66758114, 0.8166512 ,\n", - " 0.76628876, 0.6500992 , 0.55103666, 0.57264507, 0.5632608 ,\n", - " 0.6635504 , 0.8112265 , 0.46880928, 0.5088076 , 0.4709368 ,\n", - " 0.58553576, 0.67892605, 0.4958813 , 0.5148748 , 0.33538115,\n", - " 0.8030796 , 0.4588527 , 0.64742243, 0.4965765 , 0.54064983,\n", - " 0.38837674, 0.44846532, 0.38476947, 0.39184517, 0.3808179 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 24, 34, 35, 23, 29, 40, 27, 33, 31, 17, 30]), data={'frame_number': [20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20]}),\n", - " Detections(xyxy=array([[1.49310242e+03, 5.29457642e+02, 1.57481897e+03, 6.94298523e+02],\n", - " [1.47882727e+03, 3.78320221e+02, 1.55337549e+03, 5.44810242e+02],\n", - " [1.10567676e+03, 8.26999634e+02, 1.21819495e+03, 1.03002734e+03],\n", - " [2.36387329e+02, 4.94933563e+02, 3.11552124e+02, 6.71138977e+02],\n", - " [6.74664185e+02, 5.47480591e+02, 7.43538269e+02, 7.25523193e+02],\n", - " [7.52912598e+02, 3.80705963e+02, 8.12320007e+02, 5.29909546e+02],\n", - " [1.80180872e+03, 1.75943527e+02, 1.86300403e+03, 3.09300842e+02],\n", - " [1.20060339e+03, 8.76657562e+01, 1.25121790e+03, 2.24062042e+02],\n", - " [7.02402222e+02, 1.88349136e+02, 7.55941833e+02, 3.28715607e+02],\n", - " [2.59744598e+02, 8.60789013e+00, 3.17458374e+02, 1.19956711e+02],\n", - " [1.08901074e+03, 6.64986572e+01, 1.13649280e+03, 1.73654053e+02],\n", - " [1.33735767e+03, 7.08808228e+02, 1.43211951e+03, 8.80501953e+02],\n", - " [1.67956555e+03, 2.38628044e+01, 1.73530090e+03, 1.52187332e+02],\n", - " [5.68179260e+02, 3.12303040e+02, 6.27347900e+02, 4.36748657e+02],\n", - " [1.62183850e+03, 1.93627033e+01, 1.66529492e+03, 1.32030106e+02],\n", - " [8.83282471e+01, 1.24921028e+02, 1.39779510e+02, 2.44260681e+02],\n", - " [9.25561584e+02, 2.07620819e+02, 9.81450012e+02, 3.45771698e+02],\n", - " [7.95961365e+02, 5.88704033e+01, 8.36798706e+02, 1.88721680e+02],\n", - " [8.48106262e+02, 5.87265968e+01, 8.87164978e+02, 1.85825943e+02],\n", - " [1.59001733e+03, 1.89581089e+01, 1.63106482e+03, 1.28146881e+02],\n", - " [1.82702197e+03, 6.09067566e+02, 1.90457959e+03, 7.88859680e+02],\n", - " [1.37777344e+03, 2.39073038e-01, 1.43042371e+03, 1.77237076e+02],\n", - " [1.70562341e+03, 1.90779861e+02, 1.77081873e+03, 3.29243378e+02],\n", - " [3.37175293e+02, 4.87172089e+02, 3.97113281e+02, 6.35827698e+02],\n", - " [1.14360730e+03, 4.40829956e+02, 1.21225012e+03, 5.76125244e+02],\n", - " [1.73878333e+03, 1.01150597e+02, 1.79924963e+03, 2.06000427e+02],\n", - " [9.86624817e+02, 1.27328575e+02, 1.04335303e+03, 2.67540924e+02],\n", - " [3.81846130e+02, 2.00357270e+00, 4.27452728e+02, 1.09496872e+02],\n", - " [1.16831555e+03, 1.14872765e+02, 1.21648193e+03, 2.36935913e+02],\n", - " [7.07621536e+01, 8.22421692e+02, 1.75467133e+02, 9.92288208e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7331395 , 0.78109014, 0.81124747, 0.75687206, 0.79684234,\n", - " 0.72692716, 0.6401992 , 0.5028747 , 0.51850235, 0.59827733,\n", - " 0.65540904, 0.76056105, 0.4638243 , 0.48258474, 0.43962893,\n", - " 0.56717914, 0.6937438 , 0.46209767, 0.5011611 , 0.32800403,\n", - " 0.749744 , 0.41801152, 0.64941 , 0.41975296, 0.5417016 ,\n", - " 0.39888144, 0.35408032, 0.34201837, 0.3493991 , 0.4456186 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 24, 34, 35, 23, 29, 40, 27, 33, 31, 17, 15]), data={'frame_number': [21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21]}),\n", - " Detections(xyxy=array([[1.49303503e+03, 5.33365417e+02, 1.57795959e+03, 7.05456116e+02],\n", - " [1.48029480e+03, 3.83791748e+02, 1.55484399e+03, 5.50144287e+02],\n", - " [1.10684900e+03, 8.21044617e+02, 1.21394263e+03, 1.01605725e+03],\n", - " [2.34913956e+02, 4.99864441e+02, 3.10382538e+02, 6.77418762e+02],\n", - " [6.73816162e+02, 5.43572937e+02, 7.44195862e+02, 7.25878235e+02],\n", - " [7.52618103e+02, 3.78439819e+02, 8.12256226e+02, 5.27926270e+02],\n", - " [1.80262744e+03, 1.77198059e+02, 1.86319580e+03, 3.09712219e+02],\n", - " [1.20044397e+03, 8.85858917e+01, 1.25064124e+03, 2.24133408e+02],\n", - " [7.01626648e+02, 1.85985809e+02, 7.54652710e+02, 3.24086365e+02],\n", - " [2.64084045e+02, 1.02619114e+01, 3.22216888e+02, 1.19982117e+02],\n", - " [1.09019922e+03, 6.65221558e+01, 1.13761414e+03, 1.73612930e+02],\n", - " [1.32804126e+03, 7.09615540e+02, 1.42547888e+03, 8.82646790e+02],\n", - " [1.67938904e+03, 2.41284809e+01, 1.73504126e+03, 1.52174561e+02],\n", - " [5.67172485e+02, 3.07412079e+02, 6.29249207e+02, 4.37255676e+02],\n", - " [1.62026685e+03, 1.91438866e+01, 1.66440479e+03, 1.32849991e+02],\n", - " [8.86175003e+01, 1.24911217e+02, 1.39906265e+02, 2.43939697e+02],\n", - " [9.25817993e+02, 2.06431198e+02, 9.81898560e+02, 3.44557617e+02],\n", - " [7.95910339e+02, 5.86552353e+01, 8.36188843e+02, 1.88084579e+02],\n", - " [8.47349915e+02, 5.74331322e+01, 8.86829407e+02, 1.85098160e+02],\n", - " [1.82422400e+03, 6.05046265e+02, 1.90119922e+03, 7.80416504e+02],\n", - " [1.37770166e+03, 1.55084450e-02, 1.42974695e+03, 1.76946411e+02],\n", - " [1.70674719e+03, 1.94268753e+02, 1.77114124e+03, 3.29041046e+02],\n", - " [3.36618988e+02, 4.86895081e+02, 3.96568542e+02, 6.35273865e+02],\n", - " [1.14295886e+03, 4.38277740e+02, 1.21183911e+03, 5.74187744e+02],\n", - " [9.86459473e+02, 1.30903122e+02, 1.04293628e+03, 2.70298462e+02],\n", - " [3.82450073e+02, 1.70651591e+00, 4.28470734e+02, 1.08833397e+02],\n", - " [1.16676489e+03, 1.13568039e+02, 1.21346118e+03, 2.33631058e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7350922 , 0.7821529 , 0.81582516, 0.807138 , 0.7672289 ,\n", - " 0.7012374 , 0.6449531 , 0.5140005 , 0.5258084 , 0.5487246 ,\n", - " 0.6612051 , 0.7315391 , 0.5071331 , 0.48398328, 0.40855813,\n", - " 0.54765344, 0.68141663, 0.52317446, 0.5437056 , 0.75548196,\n", - " 0.3769221 , 0.54635787, 0.41992775, 0.5316416 , 0.3283046 ,\n", - " 0.34922862, 0.3284958 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 34, 35, 23, 29, 40, 33, 31, 17]), data={'frame_number': [22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22]}),\n", - " Detections(xyxy=array([[ 1.49289856e+03, 5.38017883e+02, 1.58112195e+03,\n", - " 7.18052002e+02],\n", - " [ 1.48123608e+03, 3.86397278e+02, 1.55819006e+03,\n", - " 5.58612854e+02],\n", - " [ 1.10702966e+03, 8.11699890e+02, 1.21008337e+03,\n", - " 1.00093768e+03],\n", - " [ 2.33167801e+02, 5.04930725e+02, 3.09227722e+02,\n", - " 6.84953613e+02],\n", - " [ 6.72218079e+02, 5.37654907e+02, 7.44410034e+02,\n", - " 7.25543213e+02],\n", - " [ 7.53524963e+02, 3.75729187e+02, 8.13231323e+02,\n", - " 5.25350037e+02],\n", - " [ 1.80457361e+03, 1.77605988e+02, 1.86425476e+03,\n", - " 3.08470856e+02],\n", - " [ 1.19860632e+03, 8.63663635e+01, 1.24891614e+03,\n", - " 2.22904892e+02],\n", - " [ 7.01881104e+02, 1.79868408e+02, 7.55684265e+02,\n", - " 3.19785065e+02],\n", - " [ 2.68610504e+02, 9.63450813e+00, 3.26872864e+02,\n", - " 1.17415184e+02],\n", - " [ 1.09087695e+03, 6.78144836e+01, 1.13780554e+03,\n", - " 1.74215393e+02],\n", - " [ 1.32010437e+03, 7.10575134e+02, 1.41792896e+03,\n", - " 8.80815430e+02],\n", - " [ 1.67993713e+03, 2.48691730e+01, 1.73629517e+03,\n", - " 1.55467880e+02],\n", - " [ 5.67145508e+02, 3.05573212e+02, 6.31576660e+02,\n", - " 4.39385071e+02],\n", - " [ 1.62157251e+03, 2.03673077e+01, 1.66539905e+03,\n", - " 1.33144165e+02],\n", - " [ 8.82001801e+01, 1.24250931e+02, 1.39171478e+02,\n", - " 2.42509125e+02],\n", - " [ 9.26749512e+02, 2.06583511e+02, 9.82547913e+02,\n", - " 3.43371490e+02],\n", - " [ 7.95621094e+02, 5.86083946e+01, 8.34925842e+02,\n", - " 1.85881516e+02],\n", - " [ 8.46372986e+02, 5.43198471e+01, 8.86762634e+02,\n", - " 1.84183517e+02],\n", - " [ 1.81580603e+03, 5.99680603e+02, 1.89462903e+03,\n", - " 7.74858582e+02],\n", - " [ 1.37804431e+03, -6.08142503e-02, 1.42919458e+03,\n", - " 1.76188904e+02],\n", - " [ 1.70793689e+03, 1.95491608e+02, 1.77244922e+03,\n", - " 3.27534088e+02],\n", - " [ 3.35105896e+02, 4.85488678e+02, 3.95712463e+02,\n", - " 6.35724731e+02],\n", - " [ 1.14170471e+03, 4.34638824e+02, 1.21282886e+03,\n", - " 5.75061340e+02],\n", - " [ 3.84932983e+02, 2.29504776e+00, 4.29860504e+02,\n", - " 1.05302422e+02],\n", - " [ 1.16472803e+03, 1.09842537e+02, 1.21045288e+03,\n", - " 2.29810410e+02],\n", - " [ 7.42073135e+01, 8.21578186e+02, 1.82088593e+02,\n", - " 9.95583069e+02]], dtype=float32), mask=None, confidence=array([0.6682897 , 0.76038814, 0.7421888 , 0.77639186, 0.7589246 ,\n", - " 0.63146657, 0.63957274, 0.49119243, 0.57830715, 0.40548208,\n", - " 0.5982392 , 0.7503159 , 0.5057428 , 0.47057065, 0.45889413,\n", - " 0.5417229 , 0.6771311 , 0.5644842 , 0.5429336 , 0.7760249 ,\n", - " 0.38996866, 0.47320563, 0.38091594, 0.35362744, 0.3768961 ,\n", - " 0.33652937, 0.32954878], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 34, 35, 23, 29, 40, 31, 17, 15]), data={'frame_number': [23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23]}),\n", - " Detections(xyxy=array([[ 1.49389856e+03, 5.41659302e+02, 1.58312988e+03,\n", - " 7.24732849e+02],\n", - " [ 1.48273242e+03, 3.89240936e+02, 1.55952039e+03,\n", - " 5.61685181e+02],\n", - " [ 1.10532935e+03, 8.05136414e+02, 1.20787976e+03,\n", - " 9.94905151e+02],\n", - " [ 2.32414703e+02, 5.09368988e+02, 3.08298859e+02,\n", - " 6.89653015e+02],\n", - " [ 6.71399414e+02, 5.32950500e+02, 7.44710754e+02,\n", - " 7.24272949e+02],\n", - " [ 7.53446838e+02, 3.72847015e+02, 8.14700134e+02,\n", - " 5.27186829e+02],\n", - " [ 1.80602747e+03, 1.78358963e+02, 1.86523181e+03,\n", - " 3.07936859e+02],\n", - " [ 1.19771436e+03, 8.49262466e+01, 1.24783423e+03,\n", - " 2.21833069e+02],\n", - " [ 7.01625610e+02, 1.77679001e+02, 7.55140747e+02,\n", - " 3.16956696e+02],\n", - " [ 2.70625366e+02, 8.78815842e+00, 3.29363831e+02,\n", - " 1.15861557e+02],\n", - " [ 1.09142749e+03, 7.02532196e+01, 1.13757288e+03,\n", - " 1.75064575e+02],\n", - " [ 1.31632593e+03, 7.09599976e+02, 1.41569482e+03,\n", - " 8.80132324e+02],\n", - " [ 1.67871741e+03, 2.51310310e+01, 1.73555042e+03,\n", - " 1.57346786e+02],\n", - " [ 5.67412720e+02, 3.10051849e+02, 6.32195923e+02,\n", - " 4.43432159e+02],\n", - " [ 1.62119421e+03, 2.08350773e+01, 1.66532507e+03,\n", - " 1.33892075e+02],\n", - " [ 8.75439682e+01, 1.23345436e+02, 1.38747742e+02,\n", - " 2.41989441e+02],\n", - " [ 9.26767517e+02, 2.07251282e+02, 9.82455627e+02,\n", - " 3.42862305e+02],\n", - " [ 7.95514282e+02, 5.79610558e+01, 8.34465881e+02,\n", - " 1.85068359e+02],\n", - " [ 8.45674011e+02, 5.25116997e+01, 8.86437988e+02,\n", - " 1.83201218e+02],\n", - " [ 1.80906702e+03, 5.95855225e+02, 1.89001599e+03,\n", - " 7.71699707e+02],\n", - " [ 1.37773022e+03, -8.16913396e-02, 1.42816931e+03,\n", - " 1.75919800e+02],\n", - " [ 1.71021802e+03, 1.97866837e+02, 1.77439331e+03,\n", - " 3.26914612e+02],\n", - " [ 3.34128387e+02, 4.84318329e+02, 3.94511566e+02,\n", - " 6.34583313e+02],\n", - " [ 1.14164673e+03, 4.32769714e+02, 1.21284888e+03,\n", - " 5.73337158e+02],\n", - " [ 3.85916534e+02, 3.23454857e+00, 4.30264557e+02,\n", - " 1.03341934e+02],\n", - " [ 1.16511548e+03, 1.04553146e+02, 1.21152832e+03,\n", - " 2.27141296e+02],\n", - " [ 7.48811188e+01, 8.22036499e+02, 1.83206131e+02,\n", - " 9.96167114e+02]], dtype=float32), mask=None, confidence=array([0.7053909 , 0.76300824, 0.76983833, 0.7584357 , 0.7740713 ,\n", - " 0.65645754, 0.61742127, 0.4801366 , 0.54080856, 0.36990327,\n", - " 0.60209525, 0.763905 , 0.43950617, 0.47281364, 0.44418436,\n", - " 0.5410198 , 0.67653817, 0.5420449 , 0.55776805, 0.8283059 ,\n", - " 0.35530555, 0.46756348, 0.33217895, 0.3988319 , 0.39081523,\n", - " 0.39071319, 0.5720922 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 34, 35, 23, 29, 40, 31, 17, 15]), data={'frame_number': [24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24]}),\n", - " Detections(xyxy=array([[1494.4972 , 548.1598 , 1582.9318 , 730.4175 ],\n", - " [1485.0385 , 391.51166 , 1561.4451 , 563.3424 ],\n", - " [1104.3501 , 801.6018 , 1206.8746 , 992.2282 ],\n", - " [ 231.19533 , 514.22394 , 306.99167 , 695.2333 ],\n", - " [ 672.82855 , 530.673 , 743.7488 , 714.1449 ],\n", - " [ 754.93146 , 369.89563 , 815.0496 , 522.0737 ],\n", - " [1807.0673 , 179.91422 , 1865.7275 , 307.68658 ],\n", - " [1196.8324 , 85.099686 , 1246.6852 , 221.4798 ],\n", - " [ 701.4996 , 175.64124 , 754.35364 , 313.35565 ],\n", - " [ 271.62128 , 6.521283 , 331.13113 , 114.02037 ],\n", - " [1091.2709 , 71.12976 , 1137.8357 , 177.34042 ],\n", - " [1313.3965 , 709.8946 , 1413.4822 , 879.8934 ],\n", - " [1678.6805 , 27.181742 , 1735.479 , 160.00876 ],\n", - " [ 568.48004 , 316.36243 , 632.78326 , 446.92563 ],\n", - " [1621.3844 , 21.663967 , 1665.604 , 134.15501 ],\n", - " [ 87.28784 , 123.01555 , 138.61876 , 241.81456 ],\n", - " [ 926.43646 , 208.12054 , 982.7448 , 344.61722 ],\n", - " [ 795.188 , 57.08288 , 833.93994 , 184.1269 ],\n", - " [ 845.7633 , 52.51287 , 886.6482 , 182.85016 ],\n", - " [1801.887 , 591.2561 , 1886.5133 , 770.7499 ],\n", - " [1378.3473 , 1.9078014, 1427.7723 , 175.83522 ],\n", - " [ 333.9549 , 483.89456 , 393.8927 , 633.49036 ],\n", - " [1143.315 , 430.83853 , 1212.6038 , 567.26074 ],\n", - " [ 386.6014 , 2.9284556, 430.69052 , 100.65124 ],\n", - " [1163.2269 , 102.6462 , 1208.7474 , 225.55943 ],\n", - " [ 75.99604 , 823.51215 , 183.97523 , 996.3582 ],\n", - " [ 912.7328 , 44.224247 , 955.24835 , 171.5426 ],\n", - " [1590.1382 , 22.60581 , 1629.2285 , 127.24493 ]],\n", - " dtype=float32), mask=None, confidence=array([0.7063728 , 0.7523018 , 0.8022684 , 0.7676209 , 0.7741597 ,\n", - " 0.61161894, 0.58253986, 0.50901234, 0.54849565, 0.44940525,\n", - " 0.5682766 , 0.78359437, 0.44480923, 0.39967915, 0.42675105,\n", - " 0.5315093 , 0.623132 , 0.51800483, 0.54410005, 0.828591 ,\n", - " 0.37377584, 0.3035077 , 0.43923405, 0.37329122, 0.34575033,\n", - " 0.5092242 , 0.34704888, 0.31050438], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 34, 35, 29, 40, 31, 17, 15, 20, 24]), data={'frame_number': [25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25]}),\n", - " Detections(xyxy=array([[1495.8628 , 552.5119 , 1584.2125 , 735.04425 ],\n", - " [1487.426 , 394.88202 , 1562.517 , 563.8094 ],\n", - " [1101.8625 , 797.86334 , 1205.4352 , 991.4604 ],\n", - " [ 229.3769 , 516.59973 , 305.95956 , 700.48517 ],\n", - " [ 671.455 , 528.05664 , 745.32294 , 719.8126 ],\n", - " [ 754.7303 , 368.24835 , 815.3016 , 522.90314 ],\n", - " [1808.1414 , 181.10602 , 1867.1823 , 309.54895 ],\n", - " [1196.5674 , 85.22711 , 1245.561 , 219.41731 ],\n", - " [ 701.4914 , 172.99261 , 754.0676 , 310.12555 ],\n", - " [ 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1629.2583 , 125.681854 ]],\n", - " dtype=float32), mask=None, confidence=array([0.6068994 , 0.66448516, 0.8164115 , 0.7732296 , 0.7974746 ,\n", - " 0.6652688 , 0.6336319 , 0.52086085, 0.5612176 , 0.38632497,\n", - " 0.57672274, 0.77576447, 0.48580205, 0.42222497, 0.47911048,\n", - " 0.52077216, 0.5660327 , 0.5598695 , 0.5720126 , 0.79306555,\n", - " 0.39575237, 0.32361943, 0.42866194, 0.38860318, 0.50489503,\n", - " 0.44330564, 0.36976537], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 18, 19,\n", - " 21, 22, 34, 35, 29, 31, 17, 15, 20, 24]), data={'frame_number': [26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26]}),\n", - " Detections(xyxy=array([[1497.0148 , 556.6657 , 1585.2782 , 739.9127 ],\n", - " [1489.2534 , 397.35416 , 1563.8492 , 564.4818 ],\n", - " [1100.6831 , 794.0292 , 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340.19598 , 644.1079 , 480.11063 ],\n", - " [ 335.55 , 483.6544 , 393.48193 , 634.5821 ],\n", - " [ 308.45206 , 3.4083328, 366.96347 , 102.75367 ],\n", - " [1724.606 , 130.00955 , 1813.8677 , 363.78375 ],\n", - " [1154.5537 , 399.63498 , 1218.2246 , 522.29675 ]],\n", - " dtype=float32), mask=None, confidence=array([0.69465715, 0.7619343 , 0.768594 , 0.80264705, 0.6904948 ,\n", - " 0.5696412 , 0.6883848 , 0.5533144 , 0.5210775 , 0.7173855 ,\n", - " 0.546706 , 0.5400892 , 0.58735186, 0.57287854, 0.50345963,\n", - " 0.6389312 , 0.8084525 , 0.4066339 , 0.47932875, 0.41111216,\n", - " 0.47445783, 0.37732744, 0.41901344, 0.48006138, 0.31480914],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 18, 19, 21, 22, 34,\n", - " 35, 15, 24, 14, 29, 10, 37, 40]), data={'frame_number': [38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38]}),\n", - " Detections(xyxy=array([[1.5214222e+03, 6.0968713e+02, 1.6102416e+03, 7.9705011e+02],\n", - " [1.5145652e+03, 4.4515646e+02, 1.5918192e+03, 6.0969702e+02],\n", - " [1.0920867e+03, 7.3231763e+02, 1.1853265e+03, 9.2099237e+02],\n", - " [2.2020596e+02, 5.6643073e+02, 3.0828397e+02, 7.5583514e+02],\n", - " [6.7641760e+02, 4.7620401e+02, 7.4552509e+02, 6.6215314e+02],\n", - " [7.5300360e+02, 3.3336575e+02, 8.1144989e+02, 4.8579999e+02],\n", - " [1.8254227e+03, 2.0723618e+02, 1.8927930e+03, 3.4075266e+02],\n", - " [7.0472699e+02, 1.4608195e+02, 7.5384344e+02, 2.7908502e+02],\n", - " [1.0943500e+03, 9.6680107e+01, 1.1420562e+03, 2.0662457e+02],\n", - " [1.2514895e+03, 7.2372314e+02, 1.3455509e+03, 9.0711493e+02],\n", - " [1.6857013e+03, 4.5467201e+01, 1.7458953e+03, 1.8029703e+02],\n", - " [1.6327628e+03, 2.6525686e+01, 1.6771199e+03, 1.3858765e+02],\n", - " [8.5574188e+01, 1.2284737e+02, 1.3755263e+02, 2.4187016e+02],\n", - " [9.2039240e+02, 2.3740472e+02, 9.7929517e+02, 3.7952374e+02],\n", - " [7.9596423e+02, 5.0720737e+01, 8.3588794e+02, 1.7979936e+02],\n", - " [8.4741675e+02, 5.5784607e+01, 8.8822125e+02, 1.8381499e+02],\n", - " [1.7670725e+03, 5.4246857e+02, 1.8547712e+03, 7.2114832e+02],\n", - " [1.3771655e+03, 3.4241180e+01, 1.4192191e+03, 1.7601831e+02],\n", - " [1.0063384e+02, 8.5122089e+02, 2.0917506e+02, 1.0381320e+03],\n", - " [1.5995172e+03, 3.3460773e+01, 1.6416963e+03, 1.3579556e+02],\n", - " [5.7277234e+02, 3.4075366e+02, 6.4476495e+02, 4.8552618e+02],\n", - " [3.3585104e+02, 4.8325467e+02, 3.9450409e+02, 6.3547424e+02],\n", - " [3.1215814e+02, 2.2583866e+00, 3.7009991e+02, 1.0136453e+02],\n", - " [3.9504904e-01, 1.2200000e+02, 3.4404949e+01, 1.8000000e+02],\n", - " [1.1568917e+03, 3.9710672e+02, 1.2178826e+03, 5.1254077e+02],\n", - " [1.7228174e+03, 1.8586487e+02, 1.8089360e+03, 3.6752328e+02],\n", - " [1.7280850e+03, 1.3199512e+02, 1.8157909e+03, 3.0607486e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7818924 , 0.80376077, 0.7638453 , 0.8164481 , 0.75526154,\n", - " 0.5576095 , 0.6855408 , 0.64970696, 0.48291633, 0.72394156,\n", - " 0.47173917, 0.5738428 , 0.6181375 , 0.57105213, 0.48728132,\n", - " 0.61325747, 0.78989375, 0.3744148 , 0.4674418 , 0.36549872,\n", - " 0.5503439 , 0.3900147 , 0.44547725, 0.47664067, 0.37315857,\n", - " 0.49872184, 0.3387226 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 18, 19, 21, 22, 34,\n", - " 35, 15, 24, 14, 29, 10, 43, 40, 23, 27]), data={'frame_number': [39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39]}),\n", - " Detections(xyxy=array([[ 1.52351013e+03, 6.11429077e+02, 1.61231079e+03,\n", - " 7.98882874e+02],\n", - " [ 1.51768018e+03, 4.47614594e+02, 1.59521765e+03,\n", - " 6.11745178e+02],\n", - " [ 1.08956165e+03, 7.29697937e+02, 1.18324939e+03,\n", - " 9.21069092e+02],\n", - " [ 2.19277954e+02, 5.71466064e+02, 3.07299286e+02,\n", - " 7.59710632e+02],\n", - " [ 6.77041687e+02, 4.71457062e+02, 7.44898865e+02,\n", - " 6.54981262e+02],\n", - " [ 7.53941711e+02, 3.31600922e+02, 8.10665039e+02,\n", - " 4.79788025e+02],\n", - " [ 1.82718823e+03, 2.08953934e+02, 1.89542236e+03,\n", - " 3.44111786e+02],\n", - " [ 7.04334167e+02, 1.44591995e+02, 7.53133362e+02,\n", - " 2.76670654e+02],\n", - " [ 1.09457690e+03, 9.55405045e+01, 1.14362769e+03,\n", - " 2.08251282e+02],\n", - " [ 1.24921741e+03, 7.25643555e+02, 1.34108252e+03,\n", - " 9.07056152e+02],\n", - " [ 1.68582812e+03, 4.62277260e+01, 1.74642529e+03,\n", - " 1.82631332e+02],\n", - " [ 1.63318896e+03, 2.69433727e+01, 1.67789648e+03,\n", - " 1.40398727e+02],\n", - " [ 8.55658722e+01, 1.22933754e+02, 1.37391556e+02,\n", - " 2.41286133e+02],\n", - " [ 9.20273254e+02, 2.39098312e+02, 9.80137207e+02,\n", - " 3.83880249e+02],\n", - " [ 7.96034058e+02, 5.08052902e+01, 8.35946960e+02,\n", - " 1.79818192e+02],\n", - " [ 8.47142517e+02, 5.59580002e+01, 8.88130554e+02,\n", - " 1.84597900e+02],\n", - " [ 1.76440320e+03, 5.39595337e+02, 1.85272241e+03,\n", - " 7.21704407e+02],\n", - " [ 1.37771851e+03, 3.73984108e+01, 1.41885291e+03,\n", - " 1.75314926e+02],\n", - " [ 1.03027992e+02, 8.53033813e+02, 2.11540741e+02,\n", - " 1.04015930e+03],\n", - " [ 1.60009729e+03, 3.40724602e+01, 1.64210864e+03,\n", - " 1.35444946e+02],\n", - " [ 5.72771790e+02, 3.42842834e+02, 6.44633972e+02,\n", - " 4.88826294e+02],\n", - " [ 3.35730682e+02, 4.83100220e+02, 3.94462372e+02,\n", - " 6.35156738e+02],\n", - " [ 3.15821869e+02, 1.18889594e+00, 3.72037903e+02,\n", - " 9.82172623e+01],\n", - " [-2.51822448e+00, 1.18146133e+02, 3.36185112e+01,\n", - " 1.80000000e+02],\n", - " [ 1.15600671e+03, 3.95634979e+02, 1.21869202e+03,\n", - " 5.13698059e+02],\n", - " [ 1.72784229e+03, 2.03904648e+02, 1.80780615e+03,\n", - " 3.73642395e+02],\n", - " [ 9.85335938e+02, 1.55240036e+02, 1.04777734e+03,\n", - " 3.01184662e+02],\n", - " [ 1.16429773e+03, 8.13886871e+01, 1.20468286e+03,\n", - " 2.03512695e+02],\n", - " [ 5.76244751e+02, 2.57038116e+02, 6.31595215e+02,\n", - " 3.61500671e+02]], dtype=float32), mask=None, confidence=array([0.8148133 , 0.84781945, 0.7810768 , 0.8207065 , 0.74930805,\n", - " 0.5301492 , 0.6910403 , 0.6554603 , 0.49667138, 0.7216959 ,\n", - " 0.46263865, 0.58343303, 0.61263156, 0.6511503 , 0.51432276,\n", - " 0.60782194, 0.7959976 , 0.40991437, 0.40960163, 0.3813504 ,\n", - " 0.54570967, 0.3914942 , 0.30361283, 0.5019343 , 0.4376465 ,\n", - " 0.5481529 , 0.32504094, 0.32906097, 0.3953853 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 18, 19, 21, 22, 34,\n", - " 35, 15, 24, 14, 29, 10, 43, 40, 23, 33, 17, 30]), data={'frame_number': [40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40]}),\n", - " Detections(xyxy=array([[ 1.5271382e+03, 6.1521088e+02, 1.6147219e+03, 8.0003333e+02],\n", - " [ 1.5199220e+03, 4.5304190e+02, 1.5978981e+03, 6.1768835e+02],\n", - " [ 1.0875823e+03, 7.2758124e+02, 1.1816232e+03, 9.2130847e+02],\n", - " [ 2.1786829e+02, 5.7520544e+02, 3.0537814e+02, 7.6163928e+02],\n", - " [ 6.7734149e+02, 4.6783087e+02, 7.4327899e+02, 6.4644409e+02],\n", - " [ 7.5420917e+02, 3.2904343e+02, 8.0914404e+02, 4.7229919e+02],\n", - " [ 1.8291403e+03, 2.1020212e+02, 1.8982875e+03, 3.4794727e+02],\n", - " [ 7.0400037e+02, 1.4412643e+02, 7.5239905e+02, 2.7522452e+02],\n", - " [ 1.0955258e+03, 9.5059883e+01, 1.1453052e+03, 2.0945520e+02],\n", - " [ 1.2484089e+03, 7.2764465e+02, 1.3377583e+03, 9.0695319e+02],\n", - " [ 1.6866888e+03, 4.8440159e+01, 1.7464294e+03, 1.8346092e+02],\n", - " [ 1.6348022e+03, 2.7746117e+01, 1.6793108e+03, 1.4106619e+02],\n", - " [ 8.5531158e+01, 1.2296802e+02, 1.3737228e+02, 2.4106688e+02],\n", - " [ 9.2006506e+02, 2.4033195e+02, 9.8063361e+02, 3.8676779e+02],\n", - " [ 7.9680487e+02, 5.1509632e+01, 8.3654413e+02, 1.7983784e+02],\n", - " [ 8.4721881e+02, 5.6679962e+01, 8.8791119e+02, 1.8423195e+02],\n", - " [ 1.7621704e+03, 5.3732074e+02, 1.8507000e+03, 7.2204285e+02],\n", - " [ 1.3789259e+03, 3.9817379e+01, 1.4197771e+03, 1.7642276e+02],\n", - " [ 1.6010079e+03, 3.5601700e+01, 1.6428445e+03, 1.3595798e+02],\n", - " [ 5.7240790e+02, 3.4553699e+02, 6.4426996e+02, 4.9324640e+02],\n", - " [ 3.3553540e+02, 4.8304010e+02, 3.9458777e+02, 6.3569781e+02],\n", - " [ 3.1860086e+02, 1.4852239e+00, 3.7371387e+02, 9.7732353e+01],\n", - " [-4.5228066e+00, 1.0782093e+02, 3.7375359e+01, 1.8000000e+02],\n", - " [ 1.7301926e+03, 2.1353545e+02, 1.8074122e+03, 3.7844659e+02],\n", - " [ 1.1643552e+03, 8.1418182e+01, 1.2045131e+03, 2.0251370e+02],\n", - " [ 5.7530341e+02, 2.5826910e+02, 6.3222980e+02, 3.6589508e+02],\n", - " [ 1.1950464e+03, 6.2791759e+01, 1.2407085e+03, 1.9053751e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.77947474, 0.81638527, 0.75662124, 0.86882055, 0.7661546 ,\n", - " 0.5440873 , 0.65166366, 0.62045497, 0.5090973 , 0.7021545 ,\n", - " 0.462791 , 0.56824267, 0.6230388 , 0.64940935, 0.52208537,\n", - " 0.590682 , 0.7937052 , 0.43319052, 0.32584363, 0.48972932,\n", - " 0.41100225, 0.31975114, 0.5069499 , 0.54850227, 0.375885 ,\n", - " 0.4390049 , 0.3237338 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 18, 19, 21, 22, 34,\n", - " 35, 24, 14, 29, 10, 43, 23, 17, 30, 8]), data={'frame_number': [41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41]}),\n", - " Detections(xyxy=array([[1531.109 , 619.11993 , 1617.5192 , 800.91833 ],\n", - " [1520.2393 , 458.25378 , 1599.9218 , 626.4062 ],\n", - " [1085.7593 , 723.66864 , 1180.882 , 921.5808 ],\n", - " [ 216.84174 , 577.1215 , 303.85876 , 762.1722 ],\n", - " [ 677.6118 , 463.96976 , 741.84863 , 638.72186 ],\n", - " [ 752.52637 , 323.4932 , 809.04016 , 470.99362 ],\n", - " [1830.2974 , 211.92986 , 1900.1388 , 351.95743 ],\n", - " [ 703.78015 , 143.37282 , 752.2328 , 274.80478 ],\n", - " [1094.6917 , 97.43122 , 1143.8671 , 209.84116 ],\n", - " [1247.1134 , 728.3458 , 1334.5632 , 906.18225 ],\n", - " [1686.4667 , 50.55841 , 1746.9359 , 187.66553 ],\n", - " [1636.1873 , 28.040464, 1680.3456 , 141.28973 ],\n", - " [ 85.488716, 122.98192 , 137.40344 , 240.98788 ],\n", - " [ 920.2207 , 243.35268 , 980.5987 , 389.09082 ],\n", - " [ 797.08307 , 51.784916, 836.77747 , 179.85695 ],\n", - " [ 847.51587 , 57.612156, 888.2184 , 184.7529 ],\n", - " [1761.1345 , 534.6178 , 1849.6227 , 721.63965 ],\n", - " [1379.3318 , 40.61714 , 1420.1619 , 176.82635 ],\n", - " [1600.8037 , 35.477898, 1643.6104 , 137.46431 ],\n", - " [ 571.93835 , 346.5068 , 643.1403 , 494.83713 ],\n", - " [ 335.82495 , 484.3363 , 394.92563 , 636.5626 ],\n", - " [ 320.96603 , 2.288038, 373.40518 , 94.924126],\n", - " [ -7.751736, 97.4892 , 39.89373 , 180.68108 ],\n", - " [1732.4092 , 220.9259 , 1807.1471 , 380.786 ],\n", - " [ 574.748 , 258.69513 , 632.0235 , 366.77197 ],\n", - " [1741.6693 , 138.8 , 1807.7307 , 251.2 ],\n", - " [ 104.7798 , 856.21967 , 215.78578 , 1048.8008 ]],\n", - " dtype=float32), mask=None, confidence=array([0.70883876, 0.81933075, 0.7739107 , 0.8245385 , 0.7500685 ,\n", - " 0.56635875, 0.5952806 , 0.5658439 , 0.4669504 , 0.7205405 ,\n", - " 0.4428386 , 0.55301774, 0.60962117, 0.6735072 , 0.5440474 ,\n", - " 0.603044 , 0.77620625, 0.4288085 , 0.39368924, 0.48650402,\n", - " 0.41523424, 0.379512 , 0.35460562, 0.5738048 , 0.4756592 ,\n", - " 0.42102298, 0.44978547], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 18, 19, 21, 22, 34,\n", - " 35, 24, 14, 29, 10, 43, 23, 30, 44, 15]), data={'frame_number': [42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42]}),\n", - " Detections(xyxy=array([[ 1.53483472e+03, 6.21751038e+02, 1.62015906e+03,\n", - " 7.99070923e+02],\n", - " [ 1.51995789e+03, 4.63371094e+02, 1.60225146e+03,\n", - " 6.38087280e+02],\n", - " [ 1.08292212e+03, 7.19719421e+02, 1.17827588e+03,\n", - " 9.21171204e+02],\n", - " [ 2.15033005e+02, 5.79672607e+02, 3.00127228e+02,\n", - " 7.60873718e+02],\n", - " [ 6.79458557e+02, 4.58011200e+02, 7.42257507e+02,\n", - " 6.28002197e+02],\n", - " [ 7.52044312e+02, 3.18247040e+02, 8.08890076e+02,\n", - " 4.66635834e+02],\n", - " [ 1.83121448e+03, 2.18417953e+02, 1.90088721e+03,\n", - " 3.58647186e+02],\n", - " [ 7.03296997e+02, 1.40505753e+02, 7.52585449e+02,\n", - " 2.74749176e+02],\n", - " [ 1.09533264e+03, 9.89467392e+01, 1.14297803e+03,\n", - " 2.08575531e+02],\n", - " [ 1.24255273e+03, 7.30546692e+02, 1.32849634e+03,\n", - " 9.06498352e+02],\n", - " [ 1.68567297e+03, 5.32791748e+01, 1.74649487e+03,\n", - " 1.91156326e+02],\n", - " [ 1.63862012e+03, 2.87964001e+01, 1.68272205e+03,\n", - " 1.43320190e+02],\n", - " [ 8.53214874e+01, 1.22987930e+02, 1.37574677e+02,\n", - " 2.41623550e+02],\n", - " [ 9.20807251e+02, 2.49043533e+02, 9.81384033e+02,\n", - " 3.95143524e+02],\n", - " [ 7.97639832e+02, 5.25558434e+01, 8.37065918e+02,\n", - " 1.79873825e+02],\n", - " [ 8.48533752e+02, 5.72922287e+01, 8.89411377e+02,\n", - " 1.84284012e+02],\n", - " [ 1.75906909e+03, 5.29782043e+02, 1.84711438e+03,\n", - " 7.17664429e+02],\n", - " [ 1.38000366e+03, 4.21752892e+01, 1.42046094e+03,\n", - " 1.76972290e+02],\n", - " [ 5.72318787e+02, 3.50072998e+02, 6.42130066e+02,\n", - " 4.96636963e+02],\n", - " [ 3.35985107e+02, 4.84825958e+02, 3.94997009e+02,\n", - " 6.36227844e+02],\n", - " [ 3.23604492e+02, 5.96184969e-01, 3.73895721e+02,\n", - " 9.05434952e+01],\n", - " [-1.22563581e+01, 7.74471664e+01, 4.54283333e+01,\n", - " 1.80303314e+02],\n", - " [ 1.73425964e+03, 2.26205566e+02, 1.80858203e+03,\n", - " 3.85610413e+02],\n", - " [ 5.75581726e+02, 2.61411865e+02, 6.32180969e+02,\n", - " 3.67673126e+02],\n", - " [ 1.73793494e+03, 1.42051971e+02, 1.80960681e+03,\n", - " 2.64207886e+02],\n", - " [ 1.06618034e+02, 8.59413391e+02, 2.15491638e+02,\n", - " 1.04843677e+03],\n", - " [ 9.86856018e+02, 1.62568588e+02, 1.04790454e+03,\n", - " 3.04314941e+02],\n", - " [ 1.16441907e+03, 8.04858932e+01, 1.20517322e+03,\n", - " 2.02118546e+02]], dtype=float32), mask=None, confidence=array([0.71564543, 0.7674833 , 0.76338893, 0.7495344 , 0.7417069 ,\n", - " 0.62709594, 0.52830625, 0.50972444, 0.5423796 , 0.76486707,\n", - " 0.49449015, 0.4148514 , 0.6252849 , 0.6665392 , 0.5438607 ,\n", - " 0.5385113 , 0.7763009 , 0.45518667, 0.391084 , 0.4080267 ,\n", - " 0.32340586, 0.4521741 , 0.60429674, 0.41658074, 0.41734046,\n", - " 0.3039411 , 0.4138793 , 0.36357805], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 18, 19, 21, 22, 34,\n", - " 35, 14, 29, 10, 43, 23, 30, 44, 15, 33, 17]), data={'frame_number': [43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43]}),\n", - " Detections(xyxy=array([[ 1.5404149e+03, 6.2523340e+02, 1.6241282e+03, 7.9686035e+02],\n", - " [ 1.5220673e+03, 4.6974429e+02, 1.6046912e+03, 6.4693878e+02],\n", - " [ 1.0812003e+03, 7.1444958e+02, 1.1767231e+03, 9.1984528e+02],\n", - " [ 2.1174979e+02, 5.8180029e+02, 2.9605118e+02, 7.6152838e+02],\n", - " [ 6.7946753e+02, 4.5395416e+02, 7.4242651e+02, 6.2355725e+02],\n", - " [ 7.5171478e+02, 3.1570453e+02, 8.0834979e+02, 4.6312344e+02],\n", - " [ 1.8324114e+03, 2.2149896e+02, 1.9028049e+03, 3.6309351e+02],\n", - " [ 7.0258997e+02, 1.3949623e+02, 7.5259644e+02, 2.7612311e+02],\n", - " [ 1.0964401e+03, 1.0012352e+02, 1.1430933e+03, 2.0802171e+02],\n", - " [ 1.2379796e+03, 7.3131964e+02, 1.3227770e+03, 9.0590045e+02],\n", - " [ 1.6855995e+03, 5.5579090e+01, 1.7460593e+03, 1.9241734e+02],\n", - " [ 1.6399868e+03, 3.0380695e+01, 1.6831155e+03, 1.4340646e+02],\n", - " [ 8.4867737e+01, 1.2299081e+02, 1.3737706e+02, 2.4186568e+02],\n", - " [ 9.2139935e+02, 2.5178169e+02, 9.8197375e+02, 3.9799887e+02],\n", - " [ 7.9785211e+02, 5.2849548e+01, 8.3716077e+02, 1.7988921e+02],\n", - " [ 8.4914020e+02, 5.7824993e+01, 8.9029065e+02, 1.8542915e+02],\n", - " [ 1.7587224e+03, 5.2609448e+02, 1.8458752e+03, 7.1362500e+02],\n", - " [ 1.3803163e+03, 4.3342922e+01, 1.4205123e+03, 1.7702246e+02],\n", - " [ 5.7447327e+02, 3.5728735e+02, 6.4104083e+02, 4.9720251e+02],\n", - " [ 3.3615405e+02, 4.8500449e+02, 3.9556985e+02, 6.3675977e+02],\n", - " [ 3.2623419e+02, -2.2823936e-03, 3.7553317e+02, 8.8993935e+01],\n", - " [-1.3446907e+01, 6.7604218e+01, 4.8248051e+01, 1.8014958e+02],\n", - " [ 1.7356124e+03, 2.3001283e+02, 1.8096654e+03, 3.8863724e+02],\n", - " [ 5.7539618e+02, 2.6304288e+02, 6.3272229e+02, 3.7056671e+02],\n", - " [ 1.7346505e+03, 1.4389197e+02, 1.8115203e+03, 2.7529465e+02],\n", - " [ 1.0839182e+02, 8.6251312e+02, 2.1483414e+02, 1.0475643e+03],\n", - " [ 1.0549423e+03, 1.0046000e+03, 1.1344578e+03, 1.0790000e+03],\n", - " [ 9.8646021e+02, 1.6620735e+02, 1.0485348e+03, 3.0938669e+02],\n", - " [ 1.1627727e+03, 8.0377518e+01, 1.2036406e+03, 2.0230835e+02],\n", - " [ 1.6074161e+03, 3.7743366e+01, 1.6497134e+03, 1.3970543e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.69969195, 0.808533 , 0.7662133 , 0.8026978 , 0.72995555,\n", - " 0.64974713, 0.5104001 , 0.5258909 , 0.5790687 , 0.7585491 ,\n", - " 0.47674522, 0.44827342, 0.64194167, 0.65107673, 0.5145183 ,\n", - " 0.47527733, 0.80611795, 0.46409327, 0.40004578, 0.4385485 ,\n", - " 0.39150852, 0.4607803 , 0.62108856, 0.41848734, 0.39426702,\n", - " 0.49269703, 0.5204852 , 0.3431406 , 0.44523355, 0.3290275 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 18, 19, 21, 22, 34,\n", - " 35, 14, 29, 10, 43, 23, 30, 44, 15, 45, 33, 17, 24]), data={'frame_number': [44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44]}),\n", - " Detections(xyxy=array([[ 1.54430530e+03, 6.29716309e+02, 1.62829089e+03,\n", - " 7.99247131e+02],\n", - " [ 1.52422449e+03, 4.76621002e+02, 1.60609094e+03,\n", - " 6.53434143e+02],\n", - " [ 1.07956897e+03, 7.10630127e+02, 1.17330896e+03,\n", - " 9.14244141e+02],\n", - " [ 2.09909180e+02, 5.85779480e+02, 2.91901001e+02,\n", - " 7.60310791e+02],\n", - " [ 6.78820923e+02, 4.50605774e+02, 7.41804321e+02,\n", - " 6.19438843e+02],\n", - " [ 7.50912720e+02, 3.14209381e+02, 8.07527100e+02,\n", - " 4.60604065e+02],\n", - " [ 1.83186597e+03, 2.23248840e+02, 1.90375476e+03,\n", - " 3.67961334e+02],\n", - " [ 7.02752258e+02, 1.37871170e+02, 7.52839050e+02,\n", - " 2.74754730e+02],\n", - " [ 1.09741333e+03, 1.02505333e+02, 1.14322888e+03,\n", - " 2.09092972e+02],\n", - " [ 1.23426685e+03, 7.30889404e+02, 1.31766431e+03,\n", - " 9.02306946e+02],\n", - " [ 1.68603357e+03, 5.83741188e+01, 1.74540027e+03,\n", - " 1.92153610e+02],\n", - " [ 1.64068091e+03, 3.22922058e+01, 1.68300903e+03,\n", - " 1.44062607e+02],\n", - " [ 8.46598053e+01, 1.22992462e+02, 1.37345642e+02,\n", - " 2.41957840e+02],\n", - " [ 9.22299805e+02, 2.54049591e+02, 9.82838196e+02,\n", - " 4.00291382e+02],\n", - " [ 7.98020325e+02, 5.29595642e+01, 8.37095215e+02,\n", - " 1.79239700e+02],\n", - " [ 8.49713562e+02, 5.80180359e+01, 8.90921753e+02,\n", - " 1.85197144e+02],\n", - " [ 1.75755273e+03, 5.22194336e+02, 1.84397363e+03,\n", - " 7.09565552e+02],\n", - " [ 1.38002551e+03, 4.30271263e+01, 1.42026501e+03,\n", - " 1.77037125e+02],\n", - " [ 5.76822083e+02, 3.59270721e+02, 6.41100342e+02,\n", - " 4.93923645e+02],\n", - " [ 3.36142670e+02, 4.85064758e+02, 3.95851929e+02,\n", - " 6.36956787e+02],\n", - " [ 3.30367828e+02, 1.14681685e+00, 3.78120392e+02,\n", - " 8.78143768e+01],\n", - " [-1.08047190e+01, 6.43633499e+01, 5.12661934e+01,\n", - " 1.79461304e+02],\n", - " [ 1.73656079e+03, 2.31942917e+02, 1.81017139e+03,\n", - " 3.89001495e+02],\n", - " [ 5.76253906e+02, 2.64257477e+02, 6.33292419e+02,\n", - " 3.70930084e+02],\n", - " [ 1.73564758e+03, 1.45865555e+02, 1.81151746e+03,\n", - " 2.75969391e+02],\n", - " [ 1.08799484e+02, 8.64250305e+02, 2.14037506e+02,\n", - " 1.04715344e+03],\n", - " [ 1.05421033e+03, 1.00109198e+03, 1.13793506e+03,\n", - " 1.07976257e+03],\n", - " [ 9.86791504e+02, 1.67424835e+02, 1.04960864e+03,\n", - " 3.12404572e+02],\n", - " [ 1.16283228e+03, 8.36847687e+01, 1.20311792e+03,\n", - " 2.03064026e+02],\n", - " [ 1.61017200e+03, 3.54518433e+01, 1.65372278e+03,\n", - " 1.42175842e+02],\n", - " [ 1.15654675e+03, 3.81118103e+02, 1.22262207e+03,\n", - " 5.07310211e+02]], dtype=float32), mask=None, confidence=array([0.75608295, 0.8085505 , 0.74878204, 0.7625905 , 0.70490754,\n", - " 0.64558244, 0.4535105 , 0.4677813 , 0.57145447, 0.6633799 ,\n", - " 0.47708282, 0.43364674, 0.62146866, 0.64981216, 0.486839 ,\n", - " 0.46486598, 0.82232714, 0.4749791 , 0.32468587, 0.43374383,\n", - " 0.43329826, 0.41315606, 0.54220337, 0.36877835, 0.3738671 ,\n", - " 0.4710007 , 0.5743851 , 0.3244309 , 0.38984096, 0.36959225,\n", - " 0.30043423], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 18, 19, 21, 22, 34,\n", - " 35, 14, 29, 10, 43, 23, 30, 44, 15, 45, 33, 17, 24, 40]), data={'frame_number': [45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45]}),\n", - " Detections(xyxy=array([[ 1.54395630e+03, 6.33225830e+02, 1.63139722e+03,\n", - " 8.08729004e+02],\n", - " [ 1.52487012e+03, 4.80404602e+02, 1.60664417e+03,\n", - " 6.58335999e+02],\n", - " [ 1.08030969e+03, 7.06064819e+02, 1.17076880e+03,\n", - " 9.03672363e+02],\n", - " [ 2.07579498e+02, 5.87781128e+02, 2.90748871e+02,\n", - " 7.65731689e+02],\n", - " [ 6.78469116e+02, 4.47520782e+02, 7.42351807e+02,\n", - " 6.17444824e+02],\n", - " [ 7.49972534e+02, 3.12439453e+02, 8.06559692e+02,\n", - " 4.57795837e+02],\n", - " [ 1.83176172e+03, 2.25798706e+02, 1.90325305e+03,\n", - " 3.69718201e+02],\n", - " [ 7.00905518e+02, 1.34031540e+02, 7.52219116e+02,\n", - " 2.73648407e+02],\n", - " [ 1.09734424e+03, 1.03337914e+02, 1.14369531e+03,\n", - " 2.12108490e+02],\n", - " [ 1.22946179e+03, 7.32675598e+02, 1.31353320e+03,\n", - " 9.04927490e+02],\n", - " [ 1.68637439e+03, 6.06935844e+01, 1.74494714e+03,\n", - " 1.91967102e+02],\n", - " [ 1.64328967e+03, 3.29900436e+01, 1.68452295e+03,\n", - " 1.42953720e+02],\n", - " [ 8.49275208e+01, 1.22993576e+02, 1.37656555e+02,\n", - " 2.41992218e+02],\n", - " [ 9.22984924e+02, 2.54161560e+02, 9.84134583e+02,\n", - " 4.01711700e+02],\n", - " [ 7.98454895e+02, 5.29996796e+01, 8.37349976e+02,\n", - " 1.79002808e+02],\n", - " [ 8.49777100e+02, 5.80818977e+01, 8.91293579e+02,\n", - " 1.85765411e+02],\n", - " [ 1.75721521e+03, 5.19531860e+02, 1.84066174e+03,\n", - " 7.00895020e+02],\n", - " [ 1.37991516e+03, 4.35160484e+01, 1.42017554e+03,\n", - " 1.77039307e+02],\n", - " [ 5.77642273e+02, 3.57879211e+02, 6.41830261e+02,\n", - " 4.91936035e+02],\n", - " [ 3.36448425e+02, 4.85080475e+02, 3.96299133e+02,\n", - " 6.37026794e+02],\n", - " [ 3.33305054e+02, 9.22917843e-01, 3.81464813e+02,\n", - " 8.74501648e+01],\n", - " [-5.80191660e+00, 6.60002594e+01, 5.49732971e+01,\n", - " 1.79161758e+02],\n", - " [ 1.73807788e+03, 2.33172791e+02, 1.81175195e+03,\n", - " 3.90377899e+02],\n", - " [ 5.76720215e+02, 2.66630005e+02, 6.33347961e+02,\n", - " 3.71638580e+02],\n", - " [ 1.73512024e+03, 1.46465317e+02, 1.81320312e+03,\n", - " 2.81269470e+02],\n", - " [ 1.09042038e+02, 8.66144348e+02, 2.13531235e+02,\n", - " 1.04759827e+03],\n", - " [ 1.05142322e+03, 9.96117859e+02, 1.14017273e+03,\n", - " 1.08002734e+03],\n", - " [ 9.87541687e+02, 1.69790375e+02, 1.05003345e+03,\n", - " 3.14129822e+02],\n", - " [ 1.16261780e+03, 8.36503372e+01, 1.20251501e+03,\n", - " 2.01393158e+02],\n", - " [ 1.61133984e+03, 3.46498375e+01, 1.65492041e+03,\n", - " 1.43039703e+02],\n", - " [ 1.15775757e+03, 3.78750092e+02, 1.22367102e+03,\n", - " 5.05786194e+02]], dtype=float32), mask=None, confidence=array([0.74782693, 0.7965413 , 0.6864048 , 0.8145171 , 0.7158744 ,\n", - " 0.62741923, 0.41358158, 0.5081372 , 0.5722331 , 0.7373465 ,\n", - " 0.4925501 , 0.4754494 , 0.6204825 , 0.66364384, 0.4967696 ,\n", - " 0.46016702, 0.79263854, 0.48273203, 0.33778608, 0.4110295 ,\n", - " 0.37165862, 0.40318185, 0.4519836 , 0.33066452, 0.3966894 ,\n", - " 0.5011964 , 0.5778943 , 0.3851855 , 0.45731658, 0.35805184,\n", - " 0.42687446], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 13, 16, 18, 19, 21, 22, 34,\n", - " 35, 14, 29, 10, 43, 23, 30, 44, 15, 45, 33, 17, 24, 40]), data={'frame_number': [46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46]}),\n", - " Detections(xyxy=array([[ 1.54268848e+03, 6.34418152e+02, 1.63617822e+03,\n", - " 8.22643311e+02],\n", - " [ 1.52513062e+03, 4.82338440e+02, 1.60604395e+03,\n", - " 6.58694580e+02],\n", - " [ 1.07977820e+03, 6.99208252e+02, 1.16811829e+03,\n", - " 8.92489868e+02],\n", - " [ 2.06349533e+02, 5.93044006e+02, 2.90779327e+02,\n", - " 7.74897400e+02],\n", - " [ 6.78945496e+02, 4.45189331e+02, 7.41953674e+02,\n", - " 6.10909180e+02],\n", - " [ 7.49536499e+02, 3.11223816e+02, 8.06315247e+02,\n", - " 4.56204681e+02],\n", - " [ 1.83227478e+03, 2.29318146e+02, 1.90302417e+03,\n", - " 3.72233185e+02],\n", - " [ 6.99977478e+02, 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0.5005884 , 0.69102097, 0.7924074 , 0.47974634,\n", - " 0.38283557, 0.6170732 , 0.6458417 , 0.6074309 , 0.3567518 ,\n", - " 0.3571769 , 0.64942664, 0.3511029 , 0.47194237, 0.38125288],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 19, 21, 34, 35, 14, 29, 23,\n", - " 15, 45, 24, 8, 44, 30, 2, 16, 46, 18, 48, 33, 50]), data={'frame_number': [67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67]}),\n", - " Detections(xyxy=array([[1.5980122e+03, 7.3504590e+02, 1.6885516e+03, 9.1714911e+02],\n", - " [1.0581960e+03, 6.0808582e+02, 1.1439447e+03, 7.9603662e+02],\n", - " [1.7210944e+02, 6.8709503e+02, 2.6525345e+02, 8.8338837e+02],\n", - " [6.9051068e+02, 3.6963623e+02, 7.5082599e+02, 5.2818701e+02],\n", - " [7.4532629e+02, 2.5574309e+02, 8.0004913e+02, 3.9591611e+02],\n", - " [1.8609657e+03, 2.5856216e+02, 1.9264467e+03, 4.0710651e+02],\n", - " [7.0861871e+02, 8.8794563e+01, 7.5611151e+02, 2.2175406e+02],\n", - " [1.1037308e+03, 1.3515646e+02, 1.1524703e+03, 2.4838828e+02],\n", - " [1.1435146e+03, 7.6561780e+02, 1.2331409e+03, 9.4311530e+02],\n", - " [1.7025862e+03, 8.0859604e+01, 1.7707256e+03, 2.2047064e+02],\n", - " [9.1435529e+02, 2.9763132e+02, 9.7978992e+02, 4.4437943e+02],\n", - " [8.0117004e+02, 4.8923462e+01, 8.3762024e+02, 1.7359346e+02],\n", - " [1.7060398e+03, 4.4530789e+02, 1.7852736e+03, 6.2109735e+02],\n", - " [1.3803105e+03, 3.5177368e+01, 1.4231406e+03, 1.7019885e+02],\n", - " [5.7619501e+02, 4.0456674e+02, 6.4844031e+02, 5.5436786e+02],\n", - " [3.4067535e+02, 4.7617166e+02, 3.9816071e+02, 6.3265527e+02],\n", - " [1.7722019e+03, 2.8282358e+02, 1.8514091e+03, 4.4681000e+02],\n", - " [1.5105673e+02, 8.9588879e+02, 2.6503516e+02, 1.0783232e+03],\n", - " [1.0070752e+03, 8.5856342e+02, 1.1050043e+03, 1.0390599e+03],\n", - " [1.6399415e+03, 4.8517223e+01, 1.6817235e+03, 1.5639867e+02],\n", - " [1.7495502e+03, 1.8551183e+02, 1.8216561e+03, 3.3262711e+02],\n", - " [5.7601062e+02, 3.0235965e+02, 6.3895148e+02, 4.2305832e+02],\n", - " [1.6748242e+03, 3.8904526e+01, 1.7162860e+03, 1.5477420e+02],\n", - " [3.9852176e+02, 4.7876437e+02, 4.7355551e+02, 6.4946893e+02],\n", - " [6.9412155e+01, 5.7551128e+01, 1.4699858e+02, 2.3422670e+02],\n", - " [9.0352118e+02, 3.1301605e+01, 9.4208466e+02, 1.4920863e+02],\n", - " [9.9419635e+02, 2.0087656e+02, 1.0566555e+03, 3.4976123e+02],\n", - " [1.7226766e-01, 5.2492200e+02, 2.4814381e+01, 6.5748254e+02],\n", - " [8.6521918e+02, 5.8059700e+01, 9.0726672e+02, 1.7286911e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6793573 , 0.69504017, 0.86071527, 0.7949296 , 0.5389331 ,\n", - " 0.45788977, 0.46404618, 0.56446826, 0.7055798 , 0.57236356,\n", - " 0.58353096, 0.49934447, 0.7311316 , 0.5678525 , 0.4330258 ,\n", - " 0.5201837 , 0.5787718 , 0.5818102 , 0.76854765, 0.4837183 ,\n", - " 0.5901728 , 0.55271655, 0.31109446, 0.31803685, 0.7045718 ,\n", - " 0.39020282, 0.40764448, 0.46222258, 0.32960087], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 19, 21, 34, 35, 14, 29, 23,\n", - " 15, 45, 24, 44, 30, 16, 46, 18, 48, 33, 50, 22]), data={'frame_number': [68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68]}),\n", - " Detections(xyxy=array([[ 1.60070715e+03, 7.41167664e+02, 1.69016858e+03,\n", - " 9.18199524e+02],\n", - " [ 1.05834656e+03, 6.03981079e+02, 1.14421155e+03,\n", - " 7.94086243e+02],\n", - " [ 1.71047180e+02, 6.92509949e+02, 2.61815552e+02,\n", - " 8.82721802e+02],\n", - " [ 6.90957703e+02, 3.65280304e+02, 7.51694702e+02,\n", - " 5.24408936e+02],\n", - " [ 7.44517456e+02, 2.52400269e+02, 7.98878479e+02,\n", - " 3.90881927e+02],\n", - " [ 1.86246179e+03, 2.58376465e+02, 1.92825635e+03,\n", - " 4.12268768e+02],\n", - " [ 7.09293762e+02, 8.55992126e+01, 7.56955505e+02,\n", - " 2.19261642e+02],\n", - " [ 1.10346875e+03, 1.37449402e+02, 1.15276306e+03,\n", - " 2.51859924e+02],\n", - " [ 1.13905908e+03, 7.68571167e+02, 1.22700122e+03,\n", - " 9.45085083e+02],\n", - " [ 1.70255615e+03, 8.26682816e+01, 1.77058801e+03,\n", - " 2.22027069e+02],\n", - " [ 9.13700989e+02, 2.99931549e+02, 9.80221802e+02,\n", - " 4.48878693e+02],\n", - " [ 8.01248169e+02, 4.82671814e+01, 8.37782227e+02,\n", - " 1.73077179e+02],\n", - " [ 1.70162329e+03, 4.42009094e+02, 1.78150342e+03,\n", - " 6.20005859e+02],\n", - " [ 1.38068384e+03, 3.56687660e+01, 1.42323181e+03,\n", - " 1.69953110e+02],\n", - " [ 5.76054077e+02, 4.05698212e+02, 6.47453918e+02,\n", - " 5.53725281e+02],\n", - " [ 3.41192200e+02, 4.75935608e+02, 3.97929504e+02,\n", - " 6.30175842e+02],\n", - " [ 1.77256238e+03, 2.84359253e+02, 1.85184485e+03,\n", - " 4.48052155e+02],\n", - " [ 1.53652695e+02, 8.99663513e+02, 2.64894684e+02,\n", - " 1.07873267e+03],\n", - " [ 1.00625183e+03, 8.52252563e+02, 1.10322827e+03,\n", - " 1.03814539e+03],\n", - " [ 1.64097046e+03, 4.83498383e+01, 1.68389636e+03,\n", - " 1.57031479e+02],\n", - " [ 1.75058032e+03, 1.87182983e+02, 1.82356677e+03,\n", - " 3.37053986e+02],\n", - " [ 5.77943848e+02, 3.03930908e+02, 6.39186951e+02,\n", - " 4.21368103e+02],\n", - " [ 7.24846954e+01, 5.64798622e+01, 1.48250427e+02,\n", - " 2.33947006e+02],\n", - " [ 9.03497986e+02, 3.15074806e+01, 9.42204834e+02,\n", - " 1.50032639e+02],\n", - " [ 9.95089661e+02, 2.02080032e+02, 1.05739941e+03,\n", - " 3.50971649e+02],\n", - " [-6.39259636e-01, 5.09992310e+02, 2.67552319e+01,\n", - " 6.57671265e+02],\n", - " [ 8.65202271e+02, 5.79482918e+01, 9.07252380e+02,\n", - " 1.72060898e+02]], dtype=float32), mask=None, confidence=array([0.61983705, 0.6971202 , 0.8491185 , 0.76358336, 0.5655996 ,\n", - " 0.5002104 , 0.4182909 , 0.5458671 , 0.7676382 , 0.60900676,\n", - " 0.5656126 , 0.47947013, 0.72055525, 0.5678094 , 0.48630664,\n", - " 0.50979584, 0.61453384, 0.717715 , 0.78208303, 0.45256758,\n", - " 0.6287081 , 0.5693797 , 0.72065914, 0.40821674, 0.4440058 ,\n", - " 0.3822296 , 0.34451312], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 19, 21, 34, 35, 14, 29, 23,\n", - " 15, 45, 24, 44, 30, 18, 48, 33, 50, 22]), data={'frame_number': [69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69]}),\n", - " Detections(xyxy=array([[1.6027188e+03, 7.4458093e+02, 1.6955555e+03, 9.2653009e+02],\n", - " [1.0580563e+03, 6.0060126e+02, 1.1434330e+03, 7.9085486e+02],\n", - " [1.6973595e+02, 6.9634912e+02, 2.5821848e+02, 8.8093066e+02],\n", - " [6.9095459e+02, 3.6181003e+02, 7.5215894e+02, 5.2118689e+02],\n", - " [7.4342645e+02, 2.5059274e+02, 7.9727783e+02, 3.8714005e+02],\n", - " [1.8635635e+03, 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1.6853684e+03, 1.5790366e+02],\n", - " [1.7514165e+03, 1.8905222e+02, 1.8218798e+03, 3.3347690e+02],\n", - " [5.7869330e+02, 3.0513217e+02, 6.3991998e+02, 4.2254083e+02],\n", - " [7.4390488e+01, 5.5553074e+01, 1.4866019e+02, 2.3450038e+02],\n", - " [9.0351715e+02, 3.2206696e+01, 9.4224335e+02, 1.5097308e+02],\n", - " [9.9521552e+02, 2.0446622e+02, 1.0578650e+03, 3.5469135e+02],\n", - " [1.5767099e+00, 5.0970657e+02, 2.9006598e+01, 6.5640314e+02],\n", - " [8.6430054e+02, 5.5905384e+01, 9.0814374e+02, 1.7446777e+02],\n", - " [1.1755782e+03, 1.0154000e+03, 1.2642217e+03, 1.0800000e+03],\n", - " [1.1849114e+03, 1.4012082e+01, 1.2284518e+03, 1.4125438e+02],\n", - " [1.6761748e+03, 3.9860149e+01, 1.7176643e+03, 1.5664474e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.53071547, 0.62475544, 0.8262886 , 0.7664619 , 0.57438916,\n", - " 0.49657458, 0.40937415, 0.52088106, 0.7689318 , 0.5799123 ,\n", - " 0.5823418 , 0.47157198, 0.7287628 , 0.5510881 , 0.62583834,\n", - " 0.5072741 , 0.603739 , 0.5074516 , 0.7318119 , 0.5189538 ,\n", - " 0.64478904, 0.5483862 , 0.6479764 , 0.37470168, 0.3085752 ,\n", - " 0.5036209 , 0.32529837, 0.6567358 , 0.30000618, 0.36011603],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 19, 21, 34, 35, 14, 29, 23,\n", - " 15, 45, 24, 44, 30, 18, 48, 33, 50, 22, 51, 8, 16]), data={'frame_number': [70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70]}),\n", - " Detections(xyxy=array([[1602.6266 , 749.0167 , 1700.1727 , 939.37494 ],\n", - " [1057.8237 , 596.1862 , 1142.68 , 787.1291 ],\n", - " [ 167.00826 , 697.57715 , 255.22331 , 881.442 ],\n", - " [ 690.94275 , 359.3322 , 752.3165 , 518.17456 ],\n", - " [ 742.636 , 247.35085 , 797.121 , 385.22195 ],\n", - " [1865.813 , 274.14526 , 1925.7993 , 421.03824 ],\n", - " [ 711.2016 , 81.64958 , 757.81415 , 213.60576 ],\n", - " [1104.1666 , 142.82207 , 1152.7032 , 256.4322 ],\n", - " [1131.8978 , 771.77026 , 1221.3353 , 958.3154 ],\n", - " [1705.6948 , 84.159805 , 1772.4011 , 221.78311 ],\n", - " [ 913.77057 , 303.16846 , 982.2728 , 456.4512 ],\n", - " [ 801.6349 , 47.94425 , 838.40393 , 172.59688 ],\n", - " [1696.5259 , 432.91098 , 1776.0253 , 611.87946 ],\n", - " [1380.5791 , 35.020386 , 1422.8871 , 169.19414 ],\n", - " [ 575.5267 , 411.7124 , 644.4404 , 553.4212 ],\n", - " [ 340.87628 , 475.8471 , 396.76797 , 628.0056 ],\n", - " [1774.1855 , 287.1923 , 1853.4656 , 449.08 ],\n", - " [ 156.79077 , 905.57336 , 264.0239 , 1078.5238 ],\n", - " [1006.58813 , 844.05115 , 1099.84 , 1037.2056 ],\n", - " [1642.373 , 47.56567 , 1686.3818 , 157.5527 ],\n", - " [1751.724 , 189.6728 , 1821.1514 , 331.24872 ],\n", - " [ 579.07794 , 306.8502 , 639.4103 , 422.91147 ],\n", - " [ 75.69381 , 54.670036 , 148.23015 , 234.07756 ],\n", - " [ 903.8441 , 32.41635 , 941.9566 , 149.26083 ],\n", - " [ 994.57556 , 207.2926 , 1058.0421 , 360.00134 ],\n", - " [ 5.3308406, 507.67007 , 33.84833 , 656.636 ],\n", - " [ 863.7205 , 54.51211 , 908.7042 , 176.00949 ],\n", - " [1172.4144 , 1008.3674 , 1270.5278 , 1080. ],\n", - " [1332.1901 , 2. , 1373.21 , 106. ],\n", - " [1185.8333 , 12.216889 , 1227.1552 , 133.53395 ],\n", - " [1676.8978 , 40.0585 , 1717.8776 , 156.34023 ],\n", - " [1153.1022 , 34.69195 , 1192.4756 , 153.52603 ],\n", - " [1171.5652 , 314.34247 , 1233.2015 , 441.0386 ],\n", - " [1581.8596 , 588.14374 , 1667.5183 , 767.0916 ]],\n", - " dtype=float32), mask=None, confidence=array([0.53253317, 0.6798271 , 0.8012985 , 0.7713628 , 0.56287915,\n", - " 0.44559044, 0.35843676, 0.5501397 , 0.8059025 , 0.5337048 ,\n", - " 0.58256906, 0.5085045 , 0.73175627, 0.53131294, 0.57280934,\n", - " 0.500661 , 0.5829752 , 0.41640714, 0.71518123, 0.52781403,\n", - " 0.6649338 , 0.51497656, 0.6182302 , 0.37682903, 0.30619782,\n", - " 0.5839809 , 0.3524735 , 0.68320596, 0.37504202, 0.34966546,\n", 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0.4559902 , 0.5570288 ,\n", - " 0.46148768, 0.7112987 , 0.7709509 , 0.5471044 , 0.7569894 ,\n", - " 0.77951086, 0.52835685, 0.44758856, 0.74565417, 0.771814 ,\n", - " 0.6487237 , 0.54852045, 0.63789266, 0.6567003 , 0.46999368,\n", - " 0.37159517, 0.41308993, 0.47706556, 0.5535198 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 9, 11, 19, 21, 34, 35, 14, 29, 45, 44, 30, 51, 53, 55,\n", - " 40, 33, 50, 48, 22, 57, 61, 62, 24, 56, 13, 54]), data={'frame_number': [129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129]}),\n", - " Detections(xyxy=array([[1.05456311e+03, 3.87251129e+02, 1.12637537e+03, 5.48261719e+02],\n", - " [6.84603821e+02, 1.92827530e+02, 7.38828247e+02, 3.38845459e+02],\n", - " [7.18115051e+02, 1.24751671e+02, 7.71426575e+02, 2.47438324e+02],\n", - " [7.07021851e+02, 1.05553293e+00, 7.45331726e+02, 1.04911926e+02],\n", - " [1.12809851e+03, 2.57387390e+02, 1.18068604e+03, 3.81135895e+02],\n", - " [9.05748718e+02, 4.53212067e+02, 9.77410828e+02, 6.18677002e+02],\n", - " [7.99379883e+02, 3.20657959e+01, 8.39009033e+02, 1.61773590e+02],\n", - " [1.58905103e+03, 2.70093445e+02, 1.65581104e+03, 4.21641602e+02],\n", - " [1.37973975e+03, 2.72148743e+01, 1.41731702e+03, 1.62903397e+02],\n", - " [5.35137329e+02, 5.80713196e+02, 6.22451172e+02, 7.44088379e+02],\n", - " [3.33670441e+02, 4.74009705e+02, 3.92397614e+02, 6.16596252e+02],\n", - " [1.01307477e+03, 5.71125183e+02, 1.07053345e+03, 7.38688293e+02],\n", - " [1.77178699e+03, 3.33322662e+02, 1.85347620e+03, 5.02333008e+02],\n", - " [5.44491455e+02, 4.38017517e+02, 6.10658508e+02, 5.76577148e+02],\n", - " [1.21250488e+03, 6.25607971e+02, 1.29746973e+03, 8.07253906e+02],\n", - " [6.89604492e+02, 7.07743958e+02, 7.78715271e+02, 9.13992920e+02],\n", - " [6.84921875e+01, 1.06599365e+02, 1.26014877e+02, 2.31869766e+02],\n", - " [1.16578613e+03, 1.92751205e+02, 1.20815759e+03, 2.81380615e+02],\n", - " [9.51163391e+02, 3.34178986e+02, 1.02286145e+03, 5.05894653e+02],\n", - " [9.15474167e+01, 6.65926392e+02, 1.92365250e+02, 8.57261108e+02],\n", - " [9.15687317e+02, 1.07173851e+02, 9.61719788e+02, 2.48566635e+02],\n", - " [8.56506470e+02, 3.98450279e+01, 8.97463440e+02, 1.63995346e+02],\n", - " [3.02329102e+02, 3.45064240e+01, 3.54865601e+02, 1.35985153e+02],\n", - " [2.12900909e+02, 3.25519061e+00, 2.70372894e+02, 1.16027588e+02],\n", - " [1.76205164e+03, 8.90429077e+01, 1.79978027e+03, 1.65616089e+02],\n", - " [1.71863013e+03, 9.27412872e+01, 1.76538794e+03, 1.89573410e+02],\n", - " [4.40350464e+02, 4.91205261e+02, 5.05527802e+02, 6.24630676e+02],\n", - " [1.71057910e+03, 1.62649002e+02, 1.78431348e+03, 3.14709076e+02],\n", - " [1.88501172e+03, 2.53015244e+02, 1.92040540e+03, 3.70942963e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.65422785, 0.6481406 , 0.61122847, 0.43697923, 0.3914023 ,\n", - " 0.8658922 , 0.62354344, 0.78848284, 0.472903 , 0.52998775,\n", - " 0.48234102, 0.71531135, 0.7765288 , 0.53526103, 0.74576855,\n", - " 0.8147142 , 0.5905229 , 0.41879407, 0.7140417 , 0.6231293 ,\n", - " 0.626726 , 0.56381285, 0.6233911 , 0.6432817 , 0.4025052 ,\n", - " 0.34336722, 0.45040542, 0.44983372, 0.4889342 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 9, 11, 19, 21, 34, 35, 14, 29, 45, 44, 30, 51, 53, 55,\n", - " 40, 33, 50, 48, 22, 57, 61, 62, 24, 56, 13, 54]), data={'frame_number': [130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130, 130]}),\n", - " Detections(xyxy=array([[1.05434863e+03, 3.85249084e+02, 1.12713147e+03, 5.48774658e+02],\n", - " [6.84304626e+02, 1.91924286e+02, 7.38029114e+02, 3.36461243e+02],\n", - " [7.17830505e+02, 1.22944695e+02, 7.70856567e+02, 2.45727325e+02],\n", - " [7.06595825e+02, 7.24243596e-02, 7.44881226e+02, 1.03086304e+02],\n", - " [1.12957544e+03, 2.57877747e+02, 1.18188989e+03, 3.81044037e+02],\n", - " [9.05324829e+02, 4.56663116e+02, 9.77068665e+02, 6.22733276e+02],\n", - " [7.99225586e+02, 3.11310291e+01, 8.38971558e+02, 1.60413284e+02],\n", - " [1.58556995e+03, 2.67130829e+02, 1.65375537e+03, 4.20690582e+02],\n", - " [1.37973462e+03, 2.69992504e+01, 1.41731323e+03, 1.62921585e+02],\n", - " [5.34692627e+02, 5.80224854e+02, 6.23181274e+02, 7.44763306e+02],\n", - " [3.33140503e+02, 4.74008606e+02, 3.92092987e+02, 6.16656250e+02],\n", - " [1.01248065e+03, 5.68951355e+02, 1.07097729e+03, 7.38893677e+02],\n", - " [1.77075476e+03, 3.35339874e+02, 1.85331384e+03, 5.06568604e+02],\n", - " [5.42562378e+02, 4.40795563e+02, 6.09306824e+02, 5.81028015e+02],\n", - " [1.21164490e+03, 6.22644531e+02, 1.29812256e+03, 8.07622986e+02],\n", - " [6.91293640e+02, 7.02767456e+02, 7.76876160e+02, 9.01904419e+02],\n", - " [6.78695679e+01, 1.06174202e+02, 1.25206337e+02, 2.32045120e+02],\n", - " [9.50458496e+02, 3.35495636e+02, 1.02166418e+03, 5.05702209e+02],\n", - " [9.04990692e+01, 6.69863892e+02, 1.94166016e+02, 8.66399902e+02],\n", - " [9.15565430e+02, 1.09464569e+02, 9.61519409e+02, 2.50881882e+02],\n", - " [8.57212646e+02, 3.98089638e+01, 8.98019226e+02, 1.63767548e+02],\n", - " [3.04752777e+02, 3.56566353e+01, 3.57207062e+02, 1.35775314e+02],\n", - " [2.13247726e+02, 3.71479177e+00, 2.70336914e+02, 1.16380821e+02],\n", - " [4.40914764e+02, 4.91017578e+02, 5.05779205e+02, 6.24235474e+02],\n", - " [1.71066003e+03, 1.61941864e+02, 1.78504834e+03, 3.15494110e+02],\n", - " [1.88452844e+03, 2.56161865e+02, 1.92007764e+03, 3.75321655e+02],\n", - " [1.27020996e+03, 2.79999995e+00, 1.30919006e+03, 9.48000031e+01]],\n", - " dtype=float32), mask=None, confidence=array([0.638484 , 0.6469169 , 0.64732295, 0.47320503, 0.44029546,\n", - " 0.8430339 , 0.597909 , 0.8002275 , 0.48150632, 0.5751486 ,\n", - " 0.49242935, 0.717013 , 0.7745849 , 0.55400026, 0.73763645,\n", - " 0.79235697, 0.59855866, 0.63843775, 0.6712513 , 0.58197665,\n", - " 0.54411566, 0.62907803, 0.646667 , 0.43109143, 0.44316995,\n", - " 0.4268199 , 0.39948034], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 9, 11, 19, 21, 34, 35, 14, 29, 45, 44, 30, 51, 53, 55,\n", - " 33, 50, 48, 22, 57, 61, 56, 13, 54, 63]), data={'frame_number': [131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131, 131]}),\n", - " Detections(xyxy=array([[ 1.05381201e+03, 3.83959381e+02, 1.12723279e+03,\n", - " 5.49108215e+02],\n", - " [ 6.83127991e+02, 1.89716858e+02, 7.36813416e+02,\n", - " 3.34378448e+02],\n", - " [ 7.16985352e+02, 1.21014053e+02, 7.70038513e+02,\n", - " 2.45168747e+02],\n", - " [ 7.05899963e+02, -2.59171665e-01, 7.43915649e+02,\n", - " 1.01137962e+02],\n", - " [ 1.13001782e+03, 2.57323517e+02, 1.18304333e+03,\n", - " 3.82279388e+02],\n", - " [ 9.03783142e+02, 4.60498718e+02, 9.75693970e+02,\n", - " 6.27428040e+02],\n", - " [ 7.99186523e+02, 3.08054581e+01, 8.38931641e+02,\n", - " 1.59261841e+02],\n", - " [ 1.58228210e+03, 2.65457184e+02, 1.65111304e+03,\n", - " 4.19793365e+02],\n", - " [ 1.37982642e+03, 2.75859070e+01, 1.41721484e+03,\n", - " 1.62933502e+02],\n", - " [ 5.34700928e+02, 5.81884460e+02, 6.22620789e+02,\n", - " 7.44218933e+02],\n", - " [ 3.34452667e+02, 4.74007599e+02, 3.93136902e+02,\n", - " 6.15374939e+02],\n", - " [ 1.01059631e+03, 5.66962646e+02, 1.06950586e+03,\n", - " 7.37144287e+02],\n", - " [ 1.77091516e+03, 3.39283844e+02, 1.85332104e+03,\n", - " 5.10679413e+02],\n", - " [ 5.41901978e+02, 4.42422424e+02, 6.08116577e+02,\n", - " 5.81976196e+02],\n", - " [ 1.21272437e+03, 6.20419678e+02, 1.29888416e+03,\n", - " 8.04726013e+02],\n", - " [ 6.92156006e+02, 6.98470093e+02, 7.76625061e+02,\n", - " 8.96371216e+02],\n", - " [ 6.74771652e+01, 1.06672951e+02, 1.23788155e+02,\n", - " 2.31444687e+02],\n", - " [ 9.50220947e+02, 3.37223663e+02, 1.01992511e+03,\n", - " 5.03520020e+02],\n", - " [ 9.04533234e+01, 6.73851074e+02, 1.94297974e+02,\n", - " 8.71067383e+02],\n", - " [ 9.16107971e+02, 1.12917114e+02, 9.61515808e+02,\n", - " 2.52999161e+02],\n", - " [ 8.57502747e+02, 3.98108177e+01, 8.98210449e+02,\n", - " 1.63707870e+02],\n", - " [ 3.06600861e+02, 3.67354851e+01, 3.58773346e+02,\n", - " 1.35725342e+02],\n", - " [ 2.12688705e+02, 3.24075937e+00, 2.69725983e+02,\n", - " 1.16474739e+02],\n", - " [ 4.41561401e+02, 4.90952484e+02, 5.06093567e+02,\n", - " 6.24083069e+02],\n", - " [ 1.71214587e+03, 1.62287003e+02, 1.78583069e+03,\n", - " 3.14418701e+02],\n", - " [ 1.88392310e+03, 2.59277985e+02, 1.91969946e+03,\n", - " 3.79583130e+02],\n", - " [ 1.26780176e+03, 2.95415473e+00, 1.30666528e+03,\n", - " 9.49541550e+01],\n", - " [ 3.77188660e+02, 4.58318024e+02, 4.64387085e+02,\n", - " 6.50103088e+02],\n", - " [ 1.16293970e+03, 1.90266434e+02, 1.20461572e+03,\n", - " 2.73678894e+02]], dtype=float32), mask=None, confidence=array([0.64514226, 0.6565223 , 0.65451515, 0.42733675, 0.55823433,\n", - " 0.81576467, 0.5586635 , 0.7994274 , 0.5395661 , 0.5718237 ,\n", - " 0.51090103, 0.7042004 , 0.7794426 , 0.56163454, 0.6803817 ,\n", - " 0.79210305, 0.6207739 , 0.46950054, 0.8282412 , 0.6117976 ,\n", - " 0.5704565 , 0.58837473, 0.6524297 , 0.48036477, 0.35038668,\n", - " 0.47130772, 0.35095888, 0.3077768 , 0.47690666], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 9, 11, 19, 21, 34, 35, 14, 29, 45, 44, 30, 51, 53, 55,\n", - " 33, 50, 48, 22, 57, 61, 56, 13, 54, 63, 46, 40]), data={'frame_number': [132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132, 132]}),\n", - " Detections(xyxy=array([[ 1.0543256e+03, 3.8162030e+02, 1.1285396e+03, 5.4870160e+02],\n", - " [ 6.8237158e+02, 1.8766696e+02, 7.3537152e+02, 3.3040408e+02],\n", - " [ 7.1685406e+02, 1.1706049e+02, 7.6953528e+02, 2.4305620e+02],\n", - " [ 7.0500922e+02, -3.4689707e-01, 7.4217975e+02, 9.8473457e+01],\n", - " [ 1.1304666e+03, 2.6101071e+02, 1.1844531e+03, 3.8861786e+02],\n", - " [ 9.0252051e+02, 4.6513235e+02, 9.7519684e+02, 6.3433014e+02],\n", - " [ 7.9936505e+02, 3.1373365e+01, 8.3871747e+02, 1.5752795e+02],\n", - " [ 1.5797898e+03, 2.6294772e+02, 1.6495068e+03, 4.1958115e+02],\n", - " [ 1.3805298e+03, 2.7154722e+01, 1.4178290e+03, 1.6228117e+02],\n", - " [ 5.3425763e+02, 5.8767279e+02, 6.1953595e+02, 7.4384790e+02],\n", - " [ 3.3336258e+02, 4.7400665e+02, 3.9313281e+02, 6.1757837e+02],\n", - " [ 1.0113837e+03, 5.6241650e+02, 1.0700375e+03, 7.3135254e+02],\n", - " [ 1.7721165e+03, 3.4528665e+02, 1.8547847e+03, 5.1736633e+02],\n", - " [ 5.3952441e+02, 4.4624139e+02, 6.0722333e+02, 5.8947974e+02],\n", - " [ 1.2151904e+03, 6.1450861e+02, 1.3023647e+03, 8.0186798e+02],\n", - " [ 6.9170923e+02, 6.9105933e+02, 7.7661890e+02, 8.9190649e+02],\n", - " [ 6.7366013e+01, 1.0686821e+02, 1.2326408e+02, 2.3186641e+02],\n", - " [ 9.5073199e+02, 3.4044452e+02, 1.0200713e+03, 5.0457126e+02],\n", - " [ 9.3585960e+01, 6.7851312e+02, 1.9621751e+02, 8.7463770e+02],\n", - " [ 9.1663788e+02, 1.1417602e+02, 9.6185797e+02, 2.5437959e+02],\n", - " [ 8.5744202e+02, 3.8500015e+01, 8.9779205e+02, 1.6172121e+02],\n", - " [ 3.0989038e+02, 3.5101418e+01, 3.6245380e+02, 1.3506038e+02],\n", - " [ 2.1271342e+02, 3.0609486e+00, 2.6992316e+02, 1.1713009e+02],\n", - " [ 4.4253442e+02, 4.9093384e+02, 5.0679291e+02, 6.2402527e+02],\n", - " [ 1.7136497e+03, 1.6502107e+02, 1.7865016e+03, 3.1525726e+02],\n", - " [ 1.8835024e+03, 2.6236929e+02, 1.9190811e+03, 3.8179730e+02],\n", - " [ 3.7885425e+02, 4.5901904e+02, 4.6431110e+02, 6.5031451e+02],\n", - " [ 1.1618511e+03, 1.8701045e+02, 1.2053197e+03, 2.7075348e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7379756 , 0.6179108 , 0.66505843, 0.38437885, 0.5522722 ,\n", - " 0.815214 , 0.6428133 , 0.76392245, 0.52717495, 0.57876056,\n", - " 0.49712995, 0.664199 , 0.71417797, 0.4888857 , 0.74341255,\n", - " 0.74860215, 0.6595961 , 0.6771778 , 0.7828405 , 0.5520168 ,\n", - " 0.60619444, 0.6666343 , 0.6481478 , 0.48698267, 0.41062278,\n", - " 0.39387625, 0.41477048, 0.4381099 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 9, 11, 19, 21, 34, 35, 14, 29, 45, 44, 30, 51, 53, 55,\n", - " 33, 50, 48, 22, 57, 61, 56, 13, 54, 46, 40]), data={'frame_number': [133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133, 133]}),\n", - " Detections(xyxy=array([[ 1.05348413e+03, 3.77560516e+02, 1.12877087e+03,\n", - " 5.47993591e+02],\n", - " [ 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459.88663 , 390.46832 , 606.49023 ],\n", - " [1033.1046 , 403.50867 , 1082.6642 , 549.7476 ],\n", - " [1818.709 , 498.2264 , 1907.3535 , 672.3703 ],\n", - " [ 514.5908 , 576.92993 , 582.7861 , 723.4012 ],\n", - " [1247.7441 , 410.3808 , 1322.9946 , 583.90686 ],\n", - " [ 693.74005 , 501.8891 , 773.576 , 684.0298 ],\n", - " [ 69.19614 , 110.39667 , 116.79704 , 234.57893 ],\n", - " [ 901.6963 , 193.32695 , 956.5142 , 338.0544 ],\n", - " [ 866.14276 , 2.5037239, 902.40393 , 119.5412 ],\n", - " [ 467.6846 , 18.405602 , 515.43835 , 119.951965 ],\n", - " [ 201.17038 , 38.15216 , 266.27887 , 166.0194 ],\n", - " [ 382.53857 , 483.41376 , 464.12173 , 641.0221 ],\n", - " [1166.6304 , 106.856926 , 1219.1229 , 218.30533 ],\n", - " [1827.8582 , 134.10426 , 1877.1709 , 262.24155 ],\n", - " [1744.3893 , 255.3342 , 1818.4685 , 406.1468 ],\n", - " [1381.7838 , 23.05749 , 1420.084 , 155.98221 ],\n", - " [ 10.012298 , 612.16266 , 69.706474 , 783.0133 ],\n", - " [1775.3218 , 133.76726 , 1831.9902 , 257.15634 ],\n", - " [ 195.68896 , 877.80164 , 294.50888 , 1071.2845 ],\n", - " [ 937.6946 , 470.78543 , 1014.8848 , 630.89954 ]],\n", - " dtype=float32), mask=None, confidence=array([0.67188716, 0.7031504 , 0.5489873 , 0.82863265, 0.74497247,\n", - " 0.5668136 , 0.69528043, 0.79943967, 0.46407416, 0.66976285,\n", - " 0.75981843, 0.7226659 , 0.72768176, 0.6637437 , 0.6671966 ,\n", - " 0.74095595, 0.3895666 , 0.5047231 , 0.5201325 , 0.31281304,\n", - " 0.5513252 , 0.692763 , 0.3653646 , 0.5028588 , 0.60936946,\n", - " 0.56937706, 0.6251428 , 0.4339838 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 46, 40, 64, 13, 35, 65, 24, 50, 33]), data={'frame_number': [180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180, 180]}),\n", - " Detections(xyxy=array([[1.05781250e+03, 2.52117661e+02, 1.11981604e+03, 3.94624969e+02],\n", - " [6.79976868e+02, 8.46378784e+01, 7.30157898e+02, 2.17243256e+02],\n", - " [7.19728821e+02, 2.84044743e+01, 7.66480591e+02, 1.48789230e+02],\n", - " [1.16641504e+03, 3.86719421e+02, 1.22806799e+03, 5.26891174e+02],\n", - " [9.23647949e+02, 6.12781677e+02, 1.00708838e+03, 7.93983643e+02],\n", - " [8.19604004e+02, 2.07813621e+00, 8.60671387e+02, 1.20855293e+02],\n", - " [1.54738220e+03, 1.61071365e+02, 1.60659912e+03, 3.00015320e+02],\n", - " [5.30182739e+02, 7.53175293e+02, 6.23091370e+02, 9.32465332e+02],\n", - " [3.34797577e+02, 4.59228088e+02, 3.90703003e+02, 6.06621643e+02],\n", - " [1.03182581e+03, 3.99625458e+02, 1.08206262e+03, 5.48377625e+02],\n", - " [1.82115503e+03, 5.02617950e+02, 1.90998022e+03, 6.75630554e+02],\n", - " [5.12889343e+02, 5.80039124e+02, 5.83314880e+02, 7.29844055e+02],\n", - " [1.24866089e+03, 4.08222870e+02, 1.32311023e+03, 5.80917847e+02],\n", - " [6.92997681e+02, 5.00824829e+02, 7.74181702e+02, 6.88032715e+02],\n", - " [6.86289597e+01, 1.10224297e+02, 1.16574814e+02, 2.35038284e+02],\n", - " [9.00845886e+02, 1.95042114e+02, 9.56772278e+02, 3.43394104e+02],\n", - " [8.66125732e+02, 1.34706175e+00, 9.02118469e+02, 1.16787750e+02],\n", - " [4.72515594e+02, 1.87331886e+01, 5.19976135e+02, 1.19960663e+02],\n", - " [2.00534882e+02, 3.76912727e+01, 2.66328583e+02, 1.67126556e+02],\n", - " [1.16721484e+03, 1.03798668e+02, 1.21951636e+03, 2.14194809e+02],\n", - " [1.82881946e+03, 1.35725662e+02, 1.87828918e+03, 2.63247742e+02],\n", - " [1.38188379e+03, 2.30524292e+01, 1.41999902e+03, 1.55346802e+02],\n", - " [1.15628166e+01, 6.14736694e+02, 7.32154160e+01, 7.83831055e+02],\n", - " [1.77841467e+03, 1.35529633e+02, 1.83269617e+03, 2.54943298e+02],\n", - " [1.99892609e+02, 8.84129150e+02, 2.99996338e+02, 1.07715332e+03],\n", - " [9.39799622e+02, 4.74161438e+02, 1.01750635e+03, 6.34640137e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6319071 , 0.6854913 , 0.51692766, 0.80181706, 0.8104223 ,\n", - " 0.5580465 , 0.69276106, 0.7362981 , 0.44502226, 0.62020856,\n", - " 0.7927746 , 0.64729965, 0.7355596 , 0.589718 , 0.6737581 ,\n", - " 0.71984535, 0.38918126, 0.5500736 , 0.49538743, 0.5679654 ,\n", - " 0.672994 , 0.48520842, 0.48539588, 0.5626727 , 0.479577 ,\n", - " 0.54941434], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33]), data={'frame_number': [181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181, 181]}),\n", - " Detections(xyxy=array([[1.05670129e+03, 2.49902527e+02, 1.11899817e+03, 3.93010345e+02],\n", - " [6.79594727e+02, 8.35521469e+01, 7.29852295e+02, 2.16191681e+02],\n", - " [7.19773254e+02, 2.75439796e+01, 7.65864746e+02, 1.47603882e+02],\n", - " [1.16843604e+03, 3.89253906e+02, 1.22886096e+03, 5.27564026e+02],\n", - " [9.22956787e+02, 6.14692993e+02, 1.00834039e+03, 7.99930786e+02],\n", - " [8.19603271e+02, 1.85437441e+00, 8.60560425e+02, 1.19979797e+02],\n", - " [1.54726709e+03, 1.58392532e+02, 1.60709448e+03, 2.99106354e+02],\n", - " [5.31041443e+02, 7.56416199e+02, 6.23156921e+02, 9.32819336e+02],\n", - " [3.34924530e+02, 4.58988861e+02, 3.90744476e+02, 6.06693054e+02],\n", - " [1.03185779e+03, 3.94971130e+02, 1.08263452e+03, 5.45979858e+02],\n", - " [1.82154968e+03, 5.04102631e+02, 1.91467407e+03, 6.84759949e+02],\n", - " [5.09960175e+02, 5.82412903e+02, 5.83190369e+02, 7.37445007e+02],\n", - " [1.24949463e+03, 4.04910736e+02, 1.32330518e+03, 5.77268616e+02],\n", - " [6.92082581e+02, 4.97918823e+02, 7.73795898e+02, 6.88370117e+02],\n", - " [6.79114075e+01, 1.10148682e+02, 1.16349571e+02, 2.35850113e+02],\n", - " [9.00739929e+02, 1.98892105e+02, 9.56696594e+02, 3.46666626e+02],\n", - " [8.65491089e+02, 2.68563539e-01, 9.01964722e+02, 1.16487411e+02],\n", - " [4.77119720e+02, 1.95243053e+01, 5.24605103e+02, 1.19966431e+02],\n", - " [2.01139069e+02, 3.81384125e+01, 2.66840729e+02, 1.67500168e+02],\n", - " [1.16823523e+03, 1.02059402e+02, 1.22017212e+03, 2.11412338e+02],\n", - " [1.82794495e+03, 1.35641083e+02, 1.87854553e+03, 2.65548340e+02],\n", - " [1.38192615e+03, 2.30467110e+01, 1.41997058e+03, 1.55105606e+02],\n", - " [1.18430281e+01, 6.16952698e+02, 7.47547836e+01, 7.82651794e+02],\n", - " [1.77932825e+03, 1.36828537e+02, 1.83380151e+03, 2.58015747e+02],\n", - " [2.03198654e+02, 8.89641846e+02, 3.03504730e+02, 1.07985071e+03],\n", - " [9.40706970e+02, 4.76618591e+02, 1.02024945e+03, 6.40556335e+02],\n", - " [1.74474255e+03, 2.58504089e+02, 1.82131396e+03, 4.15658203e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.633211 , 0.71546614, 0.52536976, 0.82216346, 0.77716553,\n", - " 0.5875535 , 0.72917885, 0.72821194, 0.47004893, 0.6017798 ,\n", - " 0.8244257 , 0.6696695 , 0.7335782 , 0.5209971 , 0.68023264,\n", - " 0.7046366 , 0.4362513 , 0.41771424, 0.4731632 , 0.60548234,\n", - " 0.63394153, 0.5260378 , 0.4417104 , 0.56646687, 0.52165204,\n", - " 0.61263824, 0.3199389 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 13]), data={'frame_number': [182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182, 182]}),\n", - " Detections(xyxy=array([[1.05629163e+03, 2.45837692e+02, 1.11938391e+03, 3.91205933e+02],\n", - " [6.79387695e+02, 8.05635605e+01, 7.30459412e+02, 2.15235199e+02],\n", - " [7.19964478e+02, 2.33175621e+01, 7.66092163e+02, 1.45248520e+02],\n", - " [1.17034607e+03, 3.92736542e+02, 1.22928369e+03, 5.27665405e+02],\n", - " [9.23001526e+02, 6.25744751e+02, 1.00912463e+03, 8.11191589e+02],\n", - " [8.19938354e+02, 1.12617874e+00, 8.61504211e+02, 1.20352303e+02],\n", - " [1.54665295e+03, 1.56137711e+02, 1.60721643e+03, 2.98855988e+02],\n", - " [5.32039429e+02, 7.60800415e+02, 6.22452271e+02, 9.32138428e+02],\n", - " [3.35209351e+02, 4.58908661e+02, 3.91202667e+02, 6.07401367e+02],\n", - " [1.03241040e+03, 3.90025787e+02, 1.08167090e+03, 5.36650024e+02],\n", - " [1.81997449e+03, 5.10459686e+02, 1.91673120e+03, 6.98519043e+02],\n", - " [5.06855865e+02, 5.87134583e+02, 5.83207397e+02, 7.48076782e+02],\n", - " [1.25094385e+03, 3.99831909e+02, 1.32222034e+03, 5.65453247e+02],\n", - " [6.92649597e+02, 4.92997284e+02, 7.74092957e+02, 6.84681519e+02],\n", - " [6.71381454e+01, 1.10769165e+02, 1.16124657e+02, 2.36795731e+02],\n", - " [9.01220276e+02, 2.03588623e+02, 9.57513672e+02, 3.51757568e+02],\n", - " [8.66295593e+02, 5.53742707e-01, 9.02194946e+02, 1.13762032e+02],\n", - " [4.80814423e+02, 1.98277168e+01, 5.28099121e+02, 1.17983345e+02],\n", - " [2.00707474e+02, 3.89384384e+01, 2.65760468e+02, 1.67590012e+02],\n", - " [1.17036218e+03, 9.81430969e+01, 1.22331384e+03, 2.10452057e+02],\n", - " [1.83038806e+03, 1.38846451e+02, 1.88103772e+03, 2.67023651e+02],\n", - " [1.38194580e+03, 2.30413952e+01, 1.41996326e+03, 1.55016388e+02],\n", - " [1.22454281e+01, 6.19692627e+02, 7.62420349e+01, 7.81371399e+02],\n", - " [1.78030823e+03, 1.38596329e+02, 1.83416479e+03, 2.59773590e+02],\n", - " [2.05541580e+02, 8.95511047e+02, 3.04872437e+02, 1.08134082e+03],\n", - " [9.40152466e+02, 4.79397675e+02, 1.02474207e+03, 6.54487427e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.57933265, 0.6955369 , 0.40635633, 0.8088628 , 0.8057507 ,\n", - " 0.5804381 , 0.7233689 , 0.7380561 , 0.4308563 , 0.62299883,\n", - " 0.84053224, 0.62055606, 0.74804556, 0.54643524, 0.6867135 ,\n", - " 0.67760956, 0.41120023, 0.5103914 , 0.4938535 , 0.6247815 ,\n", - " 0.6701462 , 0.49813426, 0.3093109 , 0.5633311 , 0.449248 ,\n", - " 0.62955946], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33]), data={'frame_number': [183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183, 183]}),\n", - " Detections(xyxy=array([[1.0559187e+03, 2.4242169e+02, 1.1197703e+03, 3.9064819e+02],\n", - " [6.7975134e+02, 7.8850937e+01, 7.3156128e+02, 2.1495879e+02],\n", - " [7.2021130e+02, 2.1131968e+01, 7.6598535e+02, 1.4376897e+02],\n", - " [1.1714755e+03, 3.9458789e+02, 1.2296307e+03, 5.2689282e+02],\n", - " [9.2207538e+02, 6.3119135e+02, 1.0096709e+03, 8.1864246e+02],\n", - " [8.1999646e+02, 8.7091148e-01, 8.6191632e+02, 1.2052096e+02],\n", - " [1.5456836e+03, 1.5470044e+02, 1.6067089e+03, 2.9884979e+02],\n", - " [5.3101190e+02, 7.6360083e+02, 6.2218848e+02, 9.3508221e+02],\n", - " [3.3535556e+02, 4.5888782e+02, 3.9135043e+02, 6.0768427e+02],\n", - " [1.0327410e+03, 3.8627396e+02, 1.0811947e+03, 5.2984351e+02],\n", - " [1.8195038e+03, 5.1473059e+02, 1.9172653e+03, 7.0497607e+02],\n", - " [5.0558191e+02, 5.9208948e+02, 5.8268591e+02, 7.5398749e+02],\n", - " [1.2514508e+03, 3.9338226e+02, 1.3211469e+03, 5.5508008e+02],\n", - " [6.9328589e+02, 4.9057242e+02, 7.7319080e+02, 6.8073950e+02],\n", - " [6.5883583e+01, 1.1099826e+02, 1.1570347e+02, 2.3779176e+02],\n", - " [9.0147260e+02, 2.0595349e+02, 9.5779205e+02, 3.5424664e+02],\n", - " [8.6812103e+02, 3.3783798e+00, 9.0344635e+02, 1.1413639e+02],\n", - " [4.8340628e+02, 1.9943563e+01, 5.3191003e+02, 1.1790608e+02],\n", - " [2.0049702e+02, 3.9874947e+01, 2.6476157e+02, 1.6757643e+02],\n", - " [1.1721666e+03, 9.6083992e+01, 1.2247500e+03, 2.0817992e+02],\n", - " [1.8307710e+03, 1.3937267e+02, 1.8824651e+03, 2.6884366e+02],\n", - " [1.3819562e+03, 2.3036587e+01, 1.4199635e+03, 1.5498502e+02],\n", - " [1.3082089e+01, 6.2396533e+02, 7.7994614e+01, 7.8074628e+02],\n", - " [1.7812369e+03, 1.3988899e+02, 1.8349760e+03, 2.6170840e+02],\n", - " [2.0797246e+02, 9.0285388e+02, 3.0429584e+02, 1.0803695e+03],\n", - " [9.4046228e+02, 4.8101950e+02, 1.0265198e+03, 6.6093829e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5029325 , 0.7023273 , 0.44943607, 0.7813077 , 0.7939558 ,\n", - " 0.5538399 , 0.7184761 , 0.7587008 , 0.48372975, 0.65612614,\n", - " 0.7914219 , 0.63461363, 0.7298549 , 0.5503723 , 0.6740518 ,\n", - " 0.6908357 , 0.39043432, 0.5508899 , 0.47144982, 0.62967765,\n", - " 0.674862 , 0.49033332, 0.39681664, 0.6063777 , 0.3122506 ,\n", - " 0.6180478 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33]), data={'frame_number': [184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184, 184]}),\n", - " Detections(xyxy=array([[1.05638599e+03, 2.40567276e+02, 1.11998657e+03, 3.89890381e+02],\n", - " [6.80746887e+02, 7.76186066e+01, 7.33750732e+02, 2.15598450e+02],\n", - " [7.19307739e+02, 1.90587997e+01, 7.64947876e+02, 1.43280197e+02],\n", - " [1.17112952e+03, 3.97160248e+02, 1.22912463e+03, 5.27823914e+02],\n", - " [9.21271667e+02, 6.34434937e+02, 1.00898798e+03, 8.21306152e+02],\n", - " [8.20055054e+02, 1.45479465e+00, 8.62023682e+02, 1.20613831e+02],\n", - " [1.54404993e+03, 1.53572693e+02, 1.60517578e+03, 2.98272095e+02],\n", - " [5.27727966e+02, 7.65163818e+02, 6.22300415e+02, 9.42720764e+02],\n", - " [3.35056091e+02, 4.58228699e+02, 3.91111053e+02, 6.07803589e+02],\n", - " [1.03319641e+03, 3.84335297e+02, 1.08069556e+03, 5.24100830e+02],\n", - " [1.81966345e+03, 5.20153137e+02, 1.91764062e+03, 7.11215698e+02],\n", - " [5.04536987e+02, 5.96493347e+02, 5.82434326e+02, 7.59384399e+02],\n", - " [1.25156409e+03, 3.87799561e+02, 1.32080151e+03, 5.48745911e+02],\n", - " [6.95098816e+02, 4.87142853e+02, 7.71987122e+02, 6.72088074e+02],\n", - " [6.46836319e+01, 1.10420166e+02, 1.15631729e+02, 2.38804520e+02],\n", - " [9.01875671e+02, 2.07424698e+02, 9.58279785e+02, 3.55739807e+02],\n", - " [8.68730591e+02, 4.43718672e+00, 9.03962341e+02, 1.14330704e+02],\n", - " [4.86031342e+02, 1.99862175e+01, 5.36063416e+02, 1.18550461e+02],\n", - " [2.00512985e+02, 4.02017593e+01, 2.64977325e+02, 1.68850830e+02],\n", - " [1.17303467e+03, 9.60402527e+01, 1.22507214e+03, 2.07394684e+02],\n", - " [1.83222058e+03, 1.39531082e+02, 1.88490698e+03, 2.70134338e+02],\n", - " [1.38188123e+03, 2.23708687e+01, 1.42004797e+03, 1.54975479e+02],\n", - " [1.37544794e+01, 6.25462341e+02, 8.21932983e+01, 7.83741455e+02],\n", - " [1.78190723e+03, 1.40996689e+02, 1.83488562e+03, 2.61731689e+02],\n", - " [2.08431305e+02, 9.09402222e+02, 3.01583618e+02, 1.07913513e+03],\n", - " [9.40045776e+02, 4.83455811e+02, 1.02508838e+03, 6.62004089e+02],\n", - " [3.80792999e+02, 4.84866943e+02, 4.61522736e+02, 6.41006592e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.42563915, 0.72725105, 0.464135 , 0.6853647 , 0.7605534 ,\n", - " 0.5452077 , 0.7518393 , 0.74135375, 0.51869154, 0.67726713,\n", - " 0.80544174, 0.66752535, 0.7286743 , 0.6031136 , 0.670451 ,\n", - " 0.6913604 , 0.3857973 , 0.5346965 , 0.49720743, 0.58992124,\n", - " 0.6455829 , 0.4483686 , 0.65538526, 0.56253606, 0.49627715,\n", - " 0.59320843, 0.3234321 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 46]), data={'frame_number': [185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185, 185]}),\n", - " Detections(xyxy=array([[1.05726196e+03, 2.39308868e+02, 1.12005054e+03, 3.88398468e+02],\n", - " [6.80224060e+02, 7.65646591e+01, 7.34153687e+02, 2.15912521e+02],\n", - " [7.18777771e+02, 1.76858463e+01, 7.64072449e+02, 1.42502884e+02],\n", - " [1.17021753e+03, 4.00672943e+02, 1.22899121e+03, 5.31407288e+02],\n", - " [9.20179199e+02, 6.37485413e+02, 1.00750360e+03, 8.22777344e+02],\n", - " [8.19827698e+02, 1.69432449e+00, 8.61638489e+02, 1.20012794e+02],\n", - " [1.54357581e+03, 1.52560776e+02, 1.60447998e+03, 2.97469879e+02],\n", - " [5.25536682e+02, 7.69577454e+02, 6.21986755e+02, 9.51365723e+02],\n", - " [3.35220490e+02, 4.58647430e+02, 3.90751404e+02, 6.07198669e+02],\n", - " [1.03395935e+03, 3.81071411e+02, 1.08059729e+03, 5.17423035e+02],\n", - " [1.81915417e+03, 5.24049316e+02, 1.91823975e+03, 7.18010620e+02],\n", - " [5.03029327e+02, 6.00012451e+02, 5.82186584e+02, 7.65218750e+02],\n", - " [1.25135596e+03, 3.84551483e+02, 1.31957361e+03, 5.42583679e+02],\n", - " [6.93050171e+02, 4.83320923e+02, 7.69658203e+02, 6.69592957e+02],\n", - " [6.36743431e+01, 1.11503548e+02, 1.14871986e+02, 2.39166565e+02],\n", - " [9.02239868e+02, 2.09213684e+02, 9.58280212e+02, 3.56198303e+02],\n", - " [8.67467041e+02, 2.14733529e+00, 9.03609375e+02, 1.13773949e+02],\n", - " [4.86889038e+02, 2.00016003e+01, 5.38155518e+02, 1.19460869e+02],\n", - " [2.00654236e+02, 4.22748375e+01, 2.64289703e+02, 1.69296097e+02],\n", - " [1.17336487e+03, 9.47747498e+01, 1.22579773e+03, 2.07840256e+02],\n", - " [1.83444812e+03, 1.40861710e+02, 1.88670190e+03, 2.69256195e+02],\n", - " [1.38186267e+03, 2.21187782e+01, 1.42007471e+03, 1.54973938e+02],\n", - " [1.42296076e+01, 6.28591858e+02, 8.54089203e+01, 7.86754517e+02],\n", - " [1.78247705e+03, 1.42695007e+02, 1.83510986e+03, 2.63003845e+02],\n", - " [2.09768814e+02, 9.14266663e+02, 3.01294220e+02, 1.07922375e+03],\n", - " [9.41396545e+02, 4.84912964e+02, 1.02619324e+03, 6.63511902e+02],\n", - " [3.79554474e+02, 4.84309296e+02, 4.60310150e+02, 6.41003845e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.47331974, 0.74122417, 0.51216114, 0.65336657, 0.76790875,\n", - " 0.55478203, 0.74512386, 0.7713631 , 0.46680728, 0.67359334,\n", - " 0.7575297 , 0.7085015 , 0.74220526, 0.6873558 , 0.6448761 ,\n", - " 0.738901 , 0.43769923, 0.64335924, 0.5113003 , 0.5518722 ,\n", - " 0.6449428 , 0.48813912, 0.6132853 , 0.6383973 , 0.69409424,\n", - " 0.5552746 , 0.31166178], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 46]), data={'frame_number': [186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186, 186]}),\n", - " Detections(xyxy=array([[1.0575916e+03, 2.3761371e+02, 1.1207534e+03, 3.8926013e+02],\n", - " [6.7917493e+02, 7.5576744e+01, 7.3316504e+02, 2.1478343e+02],\n", - " [7.1872223e+02, 1.6580814e+01, 7.6358435e+02, 1.4161537e+02],\n", - " [1.1693007e+03, 4.0453207e+02, 1.2301373e+03, 5.3862988e+02],\n", - " [9.1923798e+02, 6.3914642e+02, 1.0061216e+03, 8.2314374e+02],\n", - " [8.2017853e+02, 2.4620109e+00, 8.6170941e+02, 1.1980964e+02],\n", - " [1.5429783e+03, 1.5158865e+02, 1.6040156e+03, 2.9789493e+02],\n", - " [5.2290729e+02, 7.7375031e+02, 6.2233398e+02, 9.6173737e+02],\n", - " [3.3493530e+02, 4.5815497e+02, 3.9031082e+02, 6.0697845e+02],\n", - " [1.0340615e+03, 3.7730704e+02, 1.0807500e+03, 5.1377057e+02],\n", - " [1.8204203e+03, 5.2866321e+02, 1.9201846e+03, 7.2499988e+02],\n", - " [5.0179135e+02, 6.0319171e+02, 5.8149597e+02, 7.6925055e+02],\n", - " [1.2511809e+03, 3.8150888e+02, 1.3198638e+03, 5.4116992e+02],\n", - " [6.9260223e+02, 4.7870392e+02, 7.6786200e+02, 6.6348853e+02],\n", - " [6.2791779e+01, 1.1191253e+02, 1.1444880e+02, 2.3927678e+02],\n", - " [9.0263940e+02, 2.1046475e+02, 9.5870239e+02, 3.5692157e+02],\n", - " [8.6698346e+02, 1.3053083e+00, 9.0348218e+02, 1.1293719e+02],\n", - " [4.8772693e+02, 1.8687483e+01, 5.3949811e+02, 1.1848916e+02],\n", - " [2.0087144e+02, 4.5023102e+01, 2.6389291e+02, 1.7074684e+02],\n", - " [1.1734810e+03, 9.3039574e+01, 1.2260333e+03, 2.0674631e+02],\n", - " [1.8359113e+03, 1.4198528e+02, 1.8879950e+03, 2.6885065e+02],\n", - " [1.3819459e+03, 2.2684599e+01, 1.4199988e+03, 1.5497533e+02],\n", - " [1.4155909e+01, 6.3233136e+02, 9.0070679e+01, 7.9508484e+02],\n", - " [1.7829812e+03, 1.4395335e+02, 1.8354938e+03, 2.6409573e+02],\n", - " [2.1213039e+02, 9.1851953e+02, 3.0258490e+02, 1.0798307e+03],\n", - " [9.4274780e+02, 4.8666592e+02, 1.0270260e+03, 6.6458795e+02],\n", - " [3.7824762e+02, 4.8346283e+02, 4.5881479e+02, 6.4100299e+02],\n", - " [1.7454756e+03, 2.6463544e+02, 1.8221906e+03, 4.2262161e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.53571993, 0.7193931 , 0.4926502 , 0.7019812 , 0.79474986,\n", - " 0.53187025, 0.73843604, 0.7890506 , 0.48960894, 0.69043547,\n", - " 0.77727467, 0.72326994, 0.69902974, 0.70448387, 0.6563451 ,\n", - " 0.7237175 , 0.44128442, 0.5143384 , 0.5338476 , 0.4740909 ,\n", - " 0.62270075, 0.47678578, 0.7906751 , 0.6071473 , 0.77060735,\n", - " 0.60421896, 0.337347 , 0.32510287], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 46, 13]), data={'frame_number': [187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187, 187]}),\n", - " Detections(xyxy=array([[1.05851978e+03, 2.35741516e+02, 1.12087549e+03, 3.87035583e+02],\n", - " [6.77939331e+02, 7.26363068e+01, 7.32285767e+02, 2.13755890e+02],\n", - " [7.19566101e+02, 1.36010094e+01, 7.64506470e+02, 1.40681488e+02],\n", - " [1.16652637e+03, 4.09166870e+02, 1.23033862e+03, 5.48467041e+02],\n", - " [9.19983276e+02, 6.45573364e+02, 1.00382843e+03, 8.22451050e+02],\n", - " [8.20851135e+02, 1.43178666e+00, 8.62515869e+02, 1.19091560e+02],\n", - " [1.54190564e+03, 1.47337952e+02, 1.60341003e+03, 2.95483246e+02],\n", - " [5.20347168e+02, 7.82372864e+02, 6.21423401e+02, 9.74657104e+02],\n", - " [3.34900665e+02, 4.57977142e+02, 3.90082184e+02, 6.06905151e+02],\n", - " [1.03408472e+03, 3.72032349e+02, 1.08149060e+03, 5.10567993e+02],\n", - " [1.82063879e+03, 5.34204590e+02, 1.92045398e+03, 7.31409973e+02],\n", - " [5.00369965e+02, 6.06239929e+02, 5.79612061e+02, 7.71279480e+02],\n", - " [1.24966675e+03, 3.77861176e+02, 1.31942334e+03, 5.40143005e+02],\n", - " [6.94934143e+02, 4.73113831e+02, 7.66061218e+02, 6.48056030e+02],\n", - " [6.09108391e+01, 1.11398712e+02, 1.13230446e+02, 2.38635330e+02],\n", - " [9.03132019e+02, 2.11516937e+02, 9.59195984e+02, 3.57101562e+02],\n", - " [8.67362671e+02, 3.33366990e-01, 9.04188843e+02, 1.12661530e+02],\n", - " [4.91923004e+02, 1.88495007e+01, 5.41157715e+02, 1.16142265e+02],\n", - " [2.00386383e+02, 4.73486557e+01, 2.64335419e+02, 1.75236206e+02],\n", - " [1.17604260e+03, 9.31022568e+01, 1.22750415e+03, 2.04416229e+02],\n", - " [1.83830750e+03, 1.43027924e+02, 1.88985095e+03, 2.68650879e+02],\n", - " [1.38197864e+03, 2.29001732e+01, 1.41997290e+03, 1.54977692e+02],\n", - " [1.47040510e+01, 6.37588440e+02, 9.50780029e+01, 8.04669006e+02],\n", - " [1.78365723e+03, 1.45705414e+02, 1.83706787e+03, 2.67103455e+02],\n", - " [2.16755310e+02, 9.25957642e+02, 3.04595673e+02, 1.08063281e+03],\n", - " [9.44099792e+02, 4.90504852e+02, 1.02709631e+03, 6.65501099e+02],\n", - " [3.78900787e+02, 4.86445557e+02, 4.57802429e+02, 6.41002502e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.51571053, 0.6507496 , 0.38058817, 0.72872305, 0.7999993 ,\n", - " 0.49568594, 0.7400392 , 0.8112397 , 0.52936804, 0.6530668 ,\n", - " 0.66282254, 0.76785725, 0.67851526, 0.6660523 , 0.67302823,\n", - " 0.7090683 , 0.37481675, 0.38958782, 0.5624687 , 0.61358154,\n", - " 0.68627656, 0.43530166, 0.74630463, 0.61957175, 0.7986306 ,\n", - " 0.52954483, 0.31296045], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 46]), data={'frame_number': [188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188, 188]}),\n", - " Detections(xyxy=array([[1.06064368e+03, 2.33805603e+02, 1.12179517e+03, 3.82318420e+02],\n", - " [6.77340576e+02, 7.02733917e+01, 7.30769836e+02, 2.10138916e+02],\n", - " [7.20283936e+02, 1.58075533e+01, 7.63800232e+02, 1.39723511e+02],\n", - " [1.16475903e+03, 4.13435669e+02, 1.23045105e+03, 5.56007202e+02],\n", - " [9.20326416e+02, 6.48501526e+02, 1.00289557e+03, 8.21982178e+02],\n", - " [8.20823792e+02, 1.71629477e+00, 8.61762024e+02, 1.17518440e+02],\n", - " [1.54078027e+03, 1.45130508e+02, 1.60196936e+03, 2.93309540e+02],\n", - " [5.18448914e+02, 7.88169495e+02, 6.20686829e+02, 9.84023987e+02],\n", - " [3.34681366e+02, 4.57918427e+02, 3.89552795e+02, 6.06226624e+02],\n", - " [1.03361011e+03, 3.68856598e+02, 1.08158997e+03, 5.09511566e+02],\n", - " [1.82205615e+03, 5.37484314e+02, 1.92109131e+03, 7.34320435e+02],\n", - " [4.98918762e+02, 6.08580017e+02, 5.77883911e+02, 7.73191589e+02],\n", - " [1.24898413e+03, 3.75309692e+02, 1.31936768e+03, 5.39258362e+02],\n", - " [6.95149536e+02, 4.67798889e+02, 7.65453125e+02, 6.41035889e+02],\n", - " [6.00319443e+01, 1.11854912e+02, 1.12972862e+02, 2.39031219e+02],\n", - " [9.03712097e+02, 2.12495758e+02, 9.59661743e+02, 3.57741486e+02],\n", - " [8.68034729e+02, 6.43791139e-01, 9.04577515e+02, 1.11930130e+02],\n", - " [4.94156433e+02, 1.82498856e+01, 5.42198792e+02, 1.15923035e+02],\n", - " [2.00257370e+02, 4.88397102e+01, 2.64465607e+02, 1.77531631e+02],\n", - " [1.17687842e+03, 9.25389175e+01, 1.22881433e+03, 2.04929398e+02],\n", - " [1.83994275e+03, 1.44040146e+02, 1.89103516e+03, 2.68534912e+02],\n", - " [1.38199146e+03, 2.29803658e+01, 1.41996582e+03, 1.54980103e+02],\n", - " [1.70881653e+01, 6.43423218e+02, 1.00576721e+02, 8.12134705e+02],\n", - " [1.78368542e+03, 1.49614151e+02, 1.83585242e+03, 2.67531708e+02],\n", - " [2.20661652e+02, 9.31147400e+02, 3.07064453e+02, 1.08081702e+03],\n", - " [9.46361511e+02, 4.92505280e+02, 1.03059277e+03, 6.70982483e+02],\n", - " [3.77273315e+02, 4.85582977e+02, 4.56006927e+02, 6.41002136e+02],\n", - " [1.74700659e+03, 2.68145599e+02, 1.82217004e+03, 4.22188538e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.53631645, 0.69238335, 0.43626094, 0.7291115 , 0.7560239 ,\n", - " 0.48944858, 0.7478514 , 0.8186603 , 0.49467036, 0.66731006,\n", - " 0.5997544 , 0.75907695, 0.7079274 , 0.6744205 , 0.64404124,\n", - " 0.7211694 , 0.340746 , 0.41669548, 0.47665137, 0.6353562 ,\n", - " 0.69811594, 0.4682398 , 0.7606834 , 0.5902227 , 0.8178803 ,\n", - " 0.5565902 , 0.33295178, 0.34411567], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 46, 13]), data={'frame_number': [189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189, 189]}),\n", - " Detections(xyxy=array([[1.06231323e+03, 2.33172668e+02, 1.12194336e+03, 3.77966156e+02],\n", - " [6.77725342e+02, 6.87880707e+01, 7.30235901e+02, 2.06835571e+02],\n", - " [7.19877075e+02, 1.60922699e+01, 7.62874756e+02, 1.38763824e+02],\n", - " [1.16474548e+03, 4.17569061e+02, 1.23110315e+03, 5.60732605e+02],\n", - " [9.21330566e+02, 6.52779968e+02, 1.00234967e+03, 8.21682434e+02],\n", - " [8.20820862e+02, 2.50212646e+00, 8.61453796e+02, 1.17615456e+02],\n", - " [1.54001648e+03, 1.43707870e+02, 1.60048267e+03, 2.91226624e+02],\n", - " [5.17039795e+02, 7.92203369e+02, 6.19799255e+02, 9.90033081e+02],\n", - " [3.34908569e+02, 4.58566620e+02, 3.89716461e+02, 6.06641785e+02],\n", - " [1.03242078e+03, 3.67124664e+02, 1.08131934e+03, 5.11891296e+02],\n", - " [1.82450610e+03, 5.43172241e+02, 1.92064929e+03, 7.34566284e+02],\n", - " [4.98036987e+02, 6.10655457e+02, 5.76306763e+02, 7.73760986e+02],\n", - " [1.24834424e+03, 3.74490570e+02, 1.31907104e+03, 5.39743652e+02],\n", - " [6.97024719e+02, 4.65326050e+02, 7.65482056e+02, 6.33966431e+02],\n", - " [5.94084320e+01, 1.13340034e+02, 1.12549583e+02, 2.39163681e+02],\n", - " [9.03660400e+02, 2.14114273e+02, 9.59451172e+02, 3.58566010e+02],\n", - " [8.68643616e+02, 7.77380168e-01, 9.05021301e+02, 1.11691132e+02],\n", - " [4.96300110e+02, 1.73698902e+01, 5.43065369e+02, 1.15191368e+02],\n", - " [2.00589218e+02, 5.00195351e+01, 2.64812927e+02, 1.79667542e+02],\n", - " [1.17886670e+03, 9.10546646e+01, 1.23087195e+03, 2.03846817e+02],\n", - " [1.84099304e+03, 1.45041183e+02, 1.89159631e+03, 2.68455200e+02],\n", - " [1.38199658e+03, 2.30089493e+01, 1.41996570e+03, 1.54982361e+02],\n", - " [1.96231117e+01, 6.48176514e+02, 1.04869064e+02, 8.16818909e+02],\n", - " [1.78463416e+03, 1.49046112e+02, 1.83769666e+03, 2.67622040e+02],\n", - " [2.24441696e+02, 9.36879456e+02, 3.09519196e+02, 1.08079993e+03],\n", - " [9.46133850e+02, 4.95788513e+02, 1.03095142e+03, 6.76200256e+02],\n", - " [3.76689697e+02, 4.83931549e+02, 4.56012695e+02, 6.41663269e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5494691 , 0.6864371 , 0.46437517, 0.74655217, 0.73240876,\n", - " 0.481948 , 0.70540893, 0.8099152 , 0.49843562, 0.6704116 ,\n", - " 0.61164004, 0.75420415, 0.72214913, 0.6736525 , 0.6292357 ,\n", - " 0.7536303 , 0.3377512 , 0.41515446, 0.5046437 , 0.6358618 ,\n", - " 0.7133175 , 0.50416267, 0.7823504 , 0.56406575, 0.8524673 ,\n", - " 0.7103021 , 0.36088082], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 46]), data={'frame_number': [190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190, 190]}),\n", - " Detections(xyxy=array([[1.06409485e+03, 2.32363922e+02, 1.12283240e+03, 3.75105255e+02],\n", - " [6.78042786e+02, 6.56518326e+01, 7.29871216e+02, 2.02342056e+02],\n", - " [7.20327087e+02, 1.62515507e+01, 7.62587219e+02, 1.36466965e+02],\n", - " [1.16461792e+03, 4.20339417e+02, 1.23080872e+03, 5.62386414e+02],\n", - " [9.21230042e+02, 6.54872375e+02, 1.00330084e+03, 8.25473083e+02],\n", - " [8.21410583e+02, 2.80128598e+00, 8.61405273e+02, 1.16345276e+02],\n", - " [1.53901660e+03, 1.42586029e+02, 1.59804004e+03, 2.87201569e+02],\n", - " [5.15357361e+02, 7.96201233e+02, 6.18017944e+02, 9.94731262e+02],\n", - " [3.34815308e+02, 4.58817352e+02, 3.89307526e+02, 6.06146606e+02],\n", - " [1.03238342e+03, 3.65269318e+02, 1.08146069e+03, 5.12246155e+02],\n", - " [1.82634302e+03, 5.45153564e+02, 1.92080115e+03, 7.33753845e+02],\n", - " [4.98144135e+02, 6.11969849e+02, 5.75339783e+02, 7.72497192e+02],\n", - " [1.24726062e+03, 3.72343262e+02, 1.31848779e+03, 5.39412476e+02],\n", - " [6.97110107e+02, 4.62559906e+02, 7.65480469e+02, 6.30899658e+02],\n", - " [5.87394638e+01, 1.14556358e+02, 1.12206123e+02, 2.39195297e+02],\n", - " [9.03385010e+02, 2.14651764e+02, 9.59629578e+02, 3.60126221e+02],\n", - " [8.69251038e+02, 8.38464081e-01, 9.05455994e+02, 1.11633461e+02],\n", - " [4.99287231e+02, 1.77069969e+01, 5.44966919e+02, 1.14929901e+02],\n", - " [2.00427460e+02, 5.04222298e+01, 2.64591614e+02, 1.81079834e+02],\n", - " [1.17999646e+03, 8.92261734e+01, 1.23187122e+03, 2.02170258e+02],\n", - " [1.84034705e+03, 1.45372971e+02, 1.89140540e+03, 2.69724182e+02],\n", - " [1.38170178e+03, 2.30179825e+01, 1.41960376e+03, 1.54323196e+02],\n", - " [2.18882713e+01, 6.50526367e+02, 1.09001701e+02, 8.19753418e+02],\n", - " [1.78552100e+03, 1.49454391e+02, 1.83977881e+03, 2.68939484e+02],\n", - " [2.26762726e+02, 9.40053772e+02, 3.11998993e+02, 1.08071375e+03],\n", - " [9.46638611e+02, 4.98901215e+02, 1.03237952e+03, 6.81986511e+02],\n", - " [3.78024994e+02, 4.83964081e+02, 4.57130402e+02, 6.41253418e+02],\n", - " [1.74832703e+03, 2.70400085e+02, 1.82272021e+03, 4.21955658e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5953918 , 0.67944086, 0.5417723 , 0.6777739 , 0.79018366,\n", - " 0.46108824, 0.7043154 , 0.8470398 , 0.4824971 , 0.6176275 ,\n", - " 0.73041177, 0.7213119 , 0.6909113 , 0.64873433, 0.61134833,\n", - " 0.7620277 , 0.32261705, 0.46191952, 0.5542175 , 0.57443833,\n", - " 0.6804245 , 0.48024884, 0.8038667 , 0.5212213 , 0.87965184,\n", - " 0.7181865 , 0.33641762, 0.30279934], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 22,\n", - " 57, 61, 40, 64, 35, 65, 24, 50, 33, 46, 13]), data={'frame_number': [191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191, 191]}),\n", - " Detections(xyxy=array([[1065.8229 , 230.13876 , 1124.0747 , 371.47565 ],\n", - " [ 678.65094 , 63.885048 , 729.2536 , 196.74895 ],\n", - " [ 719.23413 , 14.365681 , 761.07324 , 132.32811 ],\n", - " [1165.021 , 421.91843 , 1230.8866 , 562.1867 ],\n", - " [ 919.2228 , 657.5172 , 1004.2917 , 834.74963 ],\n", - " [ 821.8519 , 3.5844886, 861.15906 , 114.55969 ],\n", - " [1538.7034 , 139.58539 , 1596.4457 , 281.0971 ],\n", - " [ 515.1162 , 800.1864 , 616.3089 , 996.9622 ],\n", - " [ 334.37454 , 460.24106 , 389.56952 , 609.94403 ],\n", - " [1031.5917 , 364.6806 , 1080.3368 , 512.49554 ],\n", - " [1827.6787 , 547.0645 , 1921.4513 , 735.2778 ],\n", - " [ 499.14984 , 614.99023 , 574.75073 , 771.2086 ],\n", - " [1246.4331 , 369.6801 , 1318.0361 , 538.0921 ],\n", - " [ 696.05096 , 458.99823 , 765.9262 , 631.29803 ],\n", - " [ 58.29479 , 114.99903 , 112.314415 , 239.19113 ],\n", - " [ 902.1212 , 216.11095 , 958.8804 , 362.62787 ],\n", - " [ 501.86853 , 17.843554 , 547.99164 , 117.50169 ],\n", - " [ 200.90024 , 51.844986 , 264.64304 , 182.87268 ],\n", - " [1181.1238 , 86.60786 , 1233.4575 , 200.92776 ],\n", - " [1840.0421 , 146.78378 , 1891.3124 , 271.49472 ],\n", - " [1381.7738 , 22.357172 , 1419.9492 , 154.73845 ],\n", - " [ 24.620766 , 653.26715 , 111.82512 , 820.0528 ],\n", - " [1786.9655 , 148.90196 , 1842.0322 , 268.0724 ],\n", - " [ 227.93523 , 942.33325 , 313.72824 , 1080.6256 ],\n", - " [ 947.71204 , 500.63995 , 1034.5885 , 686.6717 ],\n", - " [ 378.41818 , 484.63892 , 457.05734 , 641.09393 ],\n", - " [ 765.273 , 1011.2 , 852.32697 , 1079.8 ],\n", - " [1747.9916 , 270.6459 , 1823.3438 , 423.79767 ]],\n", - " dtype=float32), mask=None, confidence=array([0.63129944, 0.64784 , 0.46374696, 0.6501917 , 0.78413814,\n", - " 0.393213 , 0.7307782 , 0.8194207 , 0.5078344 , 0.71100485,\n", - " 0.74331003, 0.756423 , 0.73933995, 0.65992594, 0.65332186,\n", - " 0.78934264, 0.4784144 , 0.6001245 , 0.6108234 , 0.64892805,\n", - " 0.48309445, 0.80933946, 0.48958585, 0.88074446, 0.66423774,\n", - " 0.34940657, 0.64936423, 0.36891434], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 21, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57,\n", - " 61, 40, 64, 35, 65, 24, 50, 33, 46, 66, 13]), data={'frame_number': [192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192, 192]}),\n", - " Detections(xyxy=array([[1065.8523 , 224.04808 , 1125.117 , 367.5625 ],\n", - " [ 678.3887 , 61.97246 , 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476.66577 , 465.95984 , 642.0821 ],\n", - " [ 450.4014 , 480.95682 , 505.56158 , 612.9068 ]],\n", - " dtype=float32), mask=None, confidence=array([0.60358226, 0.5766906 , 0.42303482, 0.5853288 , 0.81616414,\n", - " 0.8122971 , 0.790807 , 0.533207 , 0.61018705, 0.6877719 ,\n", - " 0.7340641 , 0.77929246, 0.74115443, 0.54259795, 0.6973711 ,\n", - " 0.40516946, 0.54005295, 0.4771605 , 0.68163574, 0.57712895,\n", - " 0.7324969 , 0.46056822, 0.37309334, 0.6332057 , 0.840813 ,\n", - " 0.32902908, 0.4553301 , 0.34556258], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 50, 33, 66, 13, 46, 56]), data={'frame_number': [200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200]}),\n", - " Detections(xyxy=array([[1064.3794 , 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1.1243939e+03, 3.4813068e+02],\n", - " [6.8171716e+02, 4.1342720e+01, 7.3061633e+02, 1.7236292e+02],\n", - " [7.2320892e+02, 1.4948002e+00, 7.6566180e+02, 1.1165546e+02],\n", - " [1.1808490e+03, 4.6027478e+02, 1.2438182e+03, 6.0125732e+02],\n", - " [9.3249927e+02, 7.0961169e+02, 1.0218487e+03, 8.9211176e+02],\n", - " [1.5259257e+03, 1.1836024e+02, 1.5842462e+03, 2.6158539e+02],\n", - " [5.1720038e+02, 8.5673737e+02, 6.2328314e+02, 1.0563569e+03],\n", - " [3.3507385e+02, 4.6373572e+02, 3.9014627e+02, 6.1209546e+02],\n", - " [1.0287825e+03, 3.3428259e+02, 1.0726827e+03, 4.7339120e+02],\n", - " [1.8412256e+03, 5.9256940e+02, 1.9271396e+03, 7.9700806e+02],\n", - " [4.9455655e+02, 6.6369922e+02, 5.7072992e+02, 8.2317737e+02],\n", - " [1.2381644e+03, 3.2714044e+02, 1.3086825e+03, 4.9124985e+02],\n", - " [7.0005383e+02, 4.1852908e+02, 7.6825854e+02, 5.8253174e+02],\n", - " [4.5301731e+01, 1.1797532e+02, 1.0003252e+02, 2.4211967e+02],\n", - " [8.9898376e+02, 2.4069475e+02, 9.5679095e+02, 3.8663654e+02],\n", - " [5.3881183e+02, 1.6481293e+01, 5.8603754e+02, 1.1693367e+02],\n", - " [2.0363081e+02, 6.3045315e+01, 2.6791855e+02, 1.9510921e+02],\n", - " [1.1824030e+03, 7.2966988e+01, 1.2358289e+03, 1.8268794e+02],\n", - " [1.8470753e+03, 1.6133810e+02, 1.8974230e+03, 2.8750027e+02],\n", - " [1.3797959e+03, 2.1987059e+01, 1.4180774e+03, 1.5500763e+02],\n", - " [4.3062397e+01, 7.0158478e+02, 1.4269025e+02, 8.7102997e+02],\n", - " [1.7931404e+03, 1.6309084e+02, 1.8561552e+03, 2.9373792e+02],\n", - " [9.6179730e+02, 5.4500952e+02, 1.0469208e+03, 7.3104950e+02],\n", - " [7.3194598e+02, 9.3671527e+02, 8.7886023e+02, 1.0800106e+03],\n", - " [1.7572493e+03, 2.9688943e+02, 1.8352428e+03, 4.5507019e+02],\n", - " [3.7714545e+02, 4.7358768e+02, 4.6453857e+02, 6.4115247e+02],\n", - " [9.3117731e+02, 0.0000000e+00, 9.8582269e+02, 1.0744075e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6672403 , 0.6545848 , 0.4641578 , 0.7027849 , 0.8250799 ,\n", - " 0.7238929 , 0.7949048 , 0.3270312 , 0.574134 , 0.31868827,\n", - " 0.58570385, 0.7538067 , 0.642212 , 0.51383096, 0.7575773 ,\n", - " 0.49711993, 0.5120787 , 0.6266845 , 0.66222453, 0.55759627,\n", - " 0.45824808, 0.4775206 , 0.6904491 , 0.86781496, 0.37813333,\n", - " 0.3273018 , 0.39726597], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 33, 66, 13, 46, 67]), data={'frame_number': [204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204, 204]}),\n", - " Detections(xyxy=array([[1.06463794e+03, 1.99474243e+02, 1.12439929e+03, 3.43925415e+02],\n", - " [6.82234131e+02, 3.90867081e+01, 7.30667786e+02, 1.69248215e+02],\n", - " [7.24412659e+02, 1.52484977e+00, 7.66120728e+02, 1.09313286e+02],\n", - " [1.18261877e+03, 4.61798157e+02, 1.24426526e+03, 6.00290894e+02],\n", - " [9.30243347e+02, 7.14459045e+02, 1.02181873e+03, 9.01219788e+02],\n", - " [1.52560803e+03, 1.16211967e+02, 1.58248352e+03, 2.55936234e+02],\n", - " [5.18915466e+02, 8.62466370e+02, 6.23425049e+02, 1.05877869e+03],\n", - " [3.35357178e+02, 4.64010925e+02, 3.90402252e+02, 6.11414490e+02],\n", - " [1.02778955e+03, 3.31251251e+02, 1.07239221e+03, 4.72928284e+02],\n", - " [1.84388000e+03, 6.06607483e+02, 1.92353650e+03, 7.97318542e+02],\n", - " [4.95530762e+02, 6.67145569e+02, 5.69952087e+02, 8.21458130e+02],\n", - " [1.23911536e+03, 3.23942963e+02, 1.30946863e+03, 4.88758331e+02],\n", - " [6.98087158e+02, 4.16395905e+02, 7.67311829e+02, 5.81825134e+02],\n", - " [4.47053032e+01, 1.18120094e+02, 9.97999268e+01, 2.44158859e+02],\n", - " [8.98314453e+02, 2.42810150e+02, 9.57441589e+02, 3.92036682e+02],\n", - " [5.42275269e+02, 1.73762436e+01, 5.88523926e+02, 1.18277390e+02],\n", - " [2.03974014e+02, 6.53424530e+01, 2.67946503e+02, 1.96224243e+02],\n", - " [1.18292981e+03, 7.05710907e+01, 1.23673157e+03, 1.79707367e+02],\n", - " [1.84735876e+03, 1.62144150e+02, 1.89791577e+03, 2.88754974e+02],\n", - " [1.37981238e+03, 2.19885845e+01, 1.41806946e+03, 1.55015808e+02],\n", - " [4.67320137e+01, 7.02507690e+02, 1.45981018e+02, 8.70362427e+02],\n", - " [1.79228711e+03, 1.64738235e+02, 1.85536755e+03, 2.95261871e+02],\n", - " [9.61852539e+02, 5.50182922e+02, 1.04852197e+03, 7.40898682e+02],\n", - " [7.32446716e+02, 9.32262817e+02, 8.78928101e+02, 1.08000964e+03],\n", - " [1.75787512e+03, 2.95612457e+02, 1.83693713e+03, 4.55638428e+02],\n", - " [3.77283752e+02, 4.76182068e+02, 4.63887054e+02, 6.41053894e+02],\n", - " [9.31655273e+02, 7.69188583e-01, 9.86883118e+02, 1.09604919e+02],\n", - " [2.50739578e+02, 1.02631921e+03, 3.07862579e+02, 1.08054822e+03]],\n", - " dtype=float32), mask=None, confidence=array([0.6412779 , 0.65238845, 0.49469826, 0.6827898 , 0.82829356,\n", - " 0.7180443 , 0.7688955 , 0.3374086 , 0.61247844, 0.34035566,\n", - " 0.5459144 , 0.7475315 , 0.7291243 , 0.53697807, 0.7767128 ,\n", - " 0.52882546, 0.54534376, 0.5997405 , 0.6743382 , 0.5751678 ,\n", - " 0.67555064, 0.45847312, 0.6770523 , 0.85302055, 0.6465333 ,\n", - " 0.33325112, 0.50808024, 0.342098 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 33, 66, 13, 46, 67, 50]), data={'frame_number': [205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205, 205]}),\n", - " Detections(xyxy=array([[1.06369678e+03, 1.93743210e+02, 1.12404248e+03, 3.38458069e+02],\n", - " [6.82179199e+02, 3.76609802e+01, 7.30253601e+02, 1.66858047e+02],\n", - " [7.24728882e+02, 1.57668996e+00, 7.65720154e+02, 1.07173233e+02],\n", - " [1.18320447e+03, 4.64241791e+02, 1.24376868e+03, 5.99792847e+02],\n", - " [9.28556335e+02, 7.18129578e+02, 1.02389966e+03, 9.12396973e+02],\n", - " [1.52538489e+03, 1.12808006e+02, 1.58134058e+03, 2.49887680e+02],\n", - " [5.20764648e+02, 8.65770508e+02, 6.24241272e+02, 1.05945728e+03],\n", - " [3.34711365e+02, 4.64766296e+02, 3.89920563e+02, 6.11817505e+02],\n", - " [1.02755359e+03, 3.28224304e+02, 1.07217358e+03, 4.70872833e+02],\n", - " [1.84538684e+03, 6.09101746e+02, 1.92290247e+03, 7.96458191e+02],\n", - " [4.95890472e+02, 6.70278442e+02, 5.69028320e+02, 8.20006897e+02],\n", - " [1.24064014e+03, 3.21536591e+02, 1.30995654e+03, 4.84635773e+02],\n", - " [6.96104248e+02, 4.13718994e+02, 7.65574219e+02, 5.79713440e+02],\n", - " [4.43568153e+01, 1.18161858e+02, 9.92402344e+01, 2.44916122e+02],\n", - " [8.98723877e+02, 2.46173080e+02, 9.58351929e+02, 3.96620667e+02],\n", - " [5.44986633e+02, 1.64085217e+01, 5.90493469e+02, 1.18127403e+02],\n", - " [2.03763763e+02, 6.55183792e+01, 2.68289581e+02, 1.97244690e+02],\n", - " [1.18492273e+03, 6.97270508e+01, 1.23856653e+03, 1.77327896e+02],\n", - " [1.84760144e+03, 1.63731033e+02, 1.89857849e+03, 2.91183044e+02],\n", - " [1.37983008e+03, 2.19899311e+01, 1.41806323e+03, 1.55017426e+02],\n", - " [5.03657532e+01, 7.04705505e+02, 1.48759613e+02, 8.69972778e+02],\n", - " [1.79269751e+03, 1.66636566e+02, 1.85558118e+03, 2.96422455e+02],\n", - " [9.61400574e+02, 5.53334778e+02, 1.04887036e+03, 7.46470337e+02],\n", - " [7.31657532e+02, 9.24986755e+02, 8.79965881e+02, 1.08000867e+03],\n", - " [1.75855127e+03, 2.97050476e+02, 1.83772327e+03, 4.57109222e+02],\n", - " [3.76829376e+02, 4.78531464e+02, 4.62830078e+02, 6.41016174e+02],\n", - " [9.31383362e+02, 2.75383055e-01, 9.87650391e+02, 1.11730988e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6401775 , 0.63858956, 0.48773596, 0.66895765, 0.8405383 ,\n", - " 0.70294243, 0.7556021 , 0.33588865, 0.5574535 , 0.4388277 ,\n", - " 0.4466194 , 0.754316 , 0.68853486, 0.5232706 , 0.74676275,\n", - " 0.48751613, 0.46913216, 0.55080354, 0.75352013, 0.53858364,\n", - " 0.6582316 , 0.53316426, 0.6546575 , 0.8304647 , 0.6017038 ,\n", - " 0.3499779 , 0.4614911 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 33, 66, 13, 46, 67]), data={'frame_number': [206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206, 206]}),\n", - " Detections(xyxy=array([[1.06326147e+03, 1.92347946e+02, 1.12332568e+03, 3.35847443e+02],\n", - " [6.81755066e+02, 3.58789711e+01, 7.29821350e+02, 1.65405060e+02],\n", - " [7.25394165e+02, 2.30168891e+00, 7.65662659e+02, 1.05785706e+02],\n", - " [1.18262537e+03, 4.65702881e+02, 1.24363159e+03, 6.00816101e+02],\n", - " [9.26991882e+02, 7.22006836e+02, 1.02363159e+03, 9.18463684e+02],\n", - " [1.52506104e+03, 1.08941696e+02, 1.58123413e+03, 2.46400269e+02],\n", - " [5.22852417e+02, 8.68815735e+02, 6.25114746e+02, 1.05950305e+03],\n", - " [3.34493896e+02, 4.65037903e+02, 3.89711975e+02, 6.11303650e+02],\n", - " [1.02753540e+03, 3.25854858e+02, 1.07139917e+03, 4.66238007e+02],\n", - " [1.84877271e+03, 6.21255615e+02, 1.92112793e+03, 7.96698486e+02],\n", - " [4.95364105e+02, 6.72621765e+02, 5.69378784e+02, 8.22741272e+02],\n", - " [1.24137708e+03, 3.17452545e+02, 1.30869189e+03, 4.75914764e+02],\n", - " [6.93639160e+02, 4.11515167e+02, 7.65334045e+02, 5.83108032e+02],\n", - " [4.45554810e+01, 1.18164192e+02, 9.94175644e+01, 2.45839142e+02],\n", - " [8.99596313e+02, 2.49359451e+02, 9.58658386e+02, 3.98293579e+02],\n", - " [5.47712585e+02, 1.73617077e+01, 5.92625854e+02, 1.19380287e+02],\n", - " [2.03777298e+02, 6.88331070e+01, 2.67660675e+02, 1.98893616e+02],\n", - " [1.18772693e+03, 6.81342697e+01, 1.23982996e+03, 1.71838150e+02],\n", - " [1.84753235e+03, 1.64949219e+02, 1.89894177e+03, 2.93386230e+02],\n", - " [1.37984692e+03, 2.19911194e+01, 1.41805798e+03, 1.55016724e+02],\n", - " [5.32951431e+01, 7.08714600e+02, 1.50705124e+02, 8.71015625e+02],\n", - " [1.79368713e+03, 1.67970337e+02, 1.85610095e+03, 2.96787750e+02],\n", - " [9.62076050e+02, 5.57017334e+02, 1.05002991e+03, 7.51706482e+02],\n", - " [7.31793457e+02, 9.19096313e+02, 8.79311157e+02, 1.07875171e+03],\n", - " [1.75926636e+03, 2.99516296e+02, 1.83880432e+03, 4.60242126e+02],\n", - " [9.31788513e+02, 9.71581265e-02, 9.88806519e+02, 1.13802223e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6710478 , 0.6107284 , 0.44360465, 0.77084976, 0.8515142 ,\n", - " 0.66227734, 0.66351736, 0.34481263, 0.47900328, 0.32597762,\n", - " 0.5658623 , 0.7687578 , 0.7044485 , 0.5118236 , 0.71858793,\n", - " 0.5309715 , 0.48141313, 0.53431356, 0.68980265, 0.513153 ,\n", - " 0.5841979 , 0.60048914, 0.7140344 , 0.797347 , 0.305049 ,\n", - " 0.5015589 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 33, 66, 13, 67]), data={'frame_number': [207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207, 207]}),\n", - " Detections(xyxy=array([[1.06168433e+03, 1.89274826e+02, 1.12181165e+03, 3.32990448e+02],\n", - " [6.82950623e+02, 3.59518433e+01, 7.30952026e+02, 1.65621902e+02],\n", - " [7.25490051e+02, 1.24955261e+00, 7.65086609e+02, 1.04003571e+02],\n", - " [1.18064844e+03, 4.72123627e+02, 1.24395471e+03, 6.11731384e+02],\n", - " [9.26448975e+02, 7.32489929e+02, 1.02341156e+03, 9.29096985e+02],\n", - " [1.52338843e+03, 1.06918884e+02, 1.58015015e+03, 2.45868896e+02],\n", - " [5.21996582e+02, 8.73096985e+02, 6.21057739e+02, 1.05599670e+03],\n", - " [3.35006012e+02, 4.65126312e+02, 3.90368225e+02, 6.10443848e+02],\n", - " [1.02782922e+03, 3.21093475e+02, 1.07084326e+03, 4.58606995e+02],\n", - " [1.85335864e+03, 6.33748535e+02, 1.92116882e+03, 7.99310486e+02],\n", - " [4.93471924e+02, 6.80044189e+02, 5.69891907e+02, 8.34359863e+02],\n", - " [1.24116296e+03, 3.12049072e+02, 1.30605371e+03, 4.64745605e+02],\n", - " [6.92361816e+02, 4.08157593e+02, 7.65630737e+02, 5.85139038e+02],\n", - " [4.43584633e+01, 1.19467377e+02, 9.85006027e+01, 2.46166962e+02],\n", - " [9.00739990e+02, 2.54461975e+02, 9.58637268e+02, 4.00820618e+02],\n", - " [5.53464722e+02, 1.90491352e+01, 5.98374878e+02, 1.20511635e+02],\n", - " [2.03180130e+02, 7.13738098e+01, 2.68013702e+02, 2.03432129e+02],\n", - " [1.19051501e+03, 6.62536621e+01, 1.24187952e+03, 1.69197800e+02],\n", - " [1.84786890e+03, 1.66027100e+02, 1.90065039e+03, 2.97477448e+02],\n", - " [1.37986255e+03, 2.19921665e+01, 1.41805322e+03, 1.55015259e+02],\n", - " [6.19334793e+01, 7.12072266e+02, 1.59735519e+02, 8.73952637e+02],\n", - " [1.79587231e+03, 1.69746048e+02, 1.85708459e+03, 2.96193695e+02],\n", - " [9.63599182e+02, 5.60906616e+02, 1.05306287e+03, 7.59429016e+02],\n", - " [7.30698425e+02, 9.11867188e+02, 8.79576965e+02, 1.07887512e+03],\n", - " [1.75963770e+03, 3.05666443e+02, 1.84035864e+03, 4.68617462e+02],\n", - " [9.33464478e+02, 3.13484333e-02, 9.91811218e+02, 1.17231400e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6478658 , 0.6004995 , 0.4004985 , 0.6352198 , 0.84603024,\n", - " 0.64876556, 0.7110724 , 0.3499546 , 0.45767754, 0.48453766,\n", - " 0.5071839 , 0.75431687, 0.677425 , 0.452836 , 0.66475034,\n", - " 0.57719237, 0.40860868, 0.4746419 , 0.7187657 , 0.48328558,\n", - " 0.76355076, 0.62350726, 0.7062736 , 0.8313804 , 0.56489396,\n", - " 0.49806786], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 33, 66, 13, 67]), data={'frame_number': [208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208, 208]}),\n", - " Detections(xyxy=array([[1.0607736e+03, 1.8821803e+02, 1.1202495e+03, 3.3070175e+02],\n", - " [6.8310730e+02, 3.6717930e+01, 7.3166107e+02, 1.6845055e+02],\n", - " [7.2594153e+02, 1.5554878e+00, 7.6443414e+02, 1.0207501e+02],\n", - " [1.1787791e+03, 4.7705206e+02, 1.2451741e+03, 6.2225610e+02],\n", - " [9.2608929e+02, 7.3898444e+02, 1.0240999e+03, 9.3821997e+02],\n", - " [1.5216082e+03, 1.0690009e+02, 1.5783151e+03, 2.4510460e+02],\n", - " [5.2142493e+02, 8.7650537e+02, 6.1905096e+02, 1.0551315e+03],\n", - " [3.3503500e+02, 4.6581064e+02, 3.8945074e+02, 6.0746393e+02],\n", - " [1.0273815e+03, 3.1741656e+02, 1.0705640e+03, 4.5451453e+02],\n", - " [1.8560417e+03, 6.3933698e+02, 1.9235166e+03, 8.0698126e+02],\n", - " [4.9090451e+02, 6.8532129e+02, 5.7130945e+02, 8.4781519e+02],\n", - " [1.2414672e+03, 3.0816943e+02, 1.3053812e+03, 4.5873965e+02],\n", - " [6.9139984e+02, 4.0632962e+02, 7.6494678e+02, 5.8602899e+02],\n", - " [4.4433647e+01, 1.1995225e+02, 9.8718788e+01, 2.4758586e+02],\n", - " [9.0192902e+02, 2.5762561e+02, 9.5854004e+02, 4.0101541e+02],\n", - " [5.5661084e+02, 1.9695753e+01, 6.0202173e+02, 1.2093376e+02],\n", - " [2.0296034e+02, 7.3594856e+01, 2.6748227e+02, 2.0507983e+02],\n", - " [1.1934556e+03, 6.4945839e+01, 1.2446626e+03, 1.6831256e+02],\n", - " [1.8475021e+03, 1.6639789e+02, 1.9017523e+03, 3.0094501e+02],\n", - " [1.3798766e+03, 2.1993092e+01, 1.4180490e+03, 1.5501366e+02],\n", - " [6.7311089e+01, 7.1718457e+02, 1.6536763e+02, 8.7826691e+02],\n", - " [1.7972102e+03, 1.7102737e+02, 1.8575607e+03, 2.9589624e+02],\n", - " [9.6611633e+02, 5.6552570e+02, 1.0541675e+03, 7.6090686e+02],\n", - " [7.3104395e+02, 9.0726031e+02, 8.7954108e+02, 1.0795560e+03],\n", - " [1.7595419e+03, 3.0989844e+02, 1.8404594e+03, 4.7368109e+02],\n", - " [9.3459442e+02, 7.2526038e-03, 9.9370227e+02, 1.1976244e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5925234 , 0.5930003 , 0.3468434 , 0.66551757, 0.85190797,\n", - " 0.67384255, 0.759573 , 0.33987984, 0.505351 , 0.445204 ,\n", - " 0.56733966, 0.7268221 , 0.60647285, 0.46005708, 0.5973901 ,\n", - " 0.60313636, 0.37112862, 0.4329297 , 0.7490798 , 0.4977814 ,\n", - " 0.6530837 , 0.6493039 , 0.583656 , 0.8312756 , 0.49661797,\n", - " 0.4991982 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 6, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61,\n", - " 40, 64, 35, 65, 24, 33, 66, 13, 67]), data={'frame_number': [209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209, 209]}),\n", - " Detections(xyxy=array([[1.06082874e+03, 1.88591019e+02, 1.12061145e+03, 3.31286957e+02],\n", - " [6.82733093e+02, 3.37673225e+01, 7.31686768e+02, 1.66942764e+02],\n", - " [1.17815015e+03, 4.80135071e+02, 1.24551965e+03, 6.26167786e+02],\n", - " [9.25601379e+02, 7.43258484e+02, 1.02403723e+03, 9.44105530e+02],\n", - " [1.51872229e+03, 1.06984879e+02, 1.57592615e+03, 2.44921844e+02],\n", - " [5.19402588e+02, 8.81618896e+02, 6.17424316e+02, 1.06006799e+03],\n", - " [3.34365967e+02, 4.66723602e+02, 3.88442688e+02, 6.06347473e+02],\n", - " [1.02760107e+03, 3.14823914e+02, 1.07010315e+03, 4.49122986e+02],\n", - " [1.85389197e+03, 6.46532532e+02, 1.92266870e+03, 8.19002380e+02],\n", - " [4.89179199e+02, 6.89153320e+02, 5.71971680e+02, 8.56684814e+02],\n", - " [1.24085303e+03, 3.04197174e+02, 1.30521448e+03, 4.56036560e+02],\n", - " [6.91230774e+02, 4.04438477e+02, 7.65175537e+02, 5.86481812e+02],\n", - " [4.36396027e+01, 1.20121246e+02, 9.76939316e+01, 2.47440125e+02],\n", - " [9.02762756e+02, 2.60042480e+02, 9.58780151e+02, 4.03001251e+02],\n", - " [5.58500488e+02, 1.99372578e+01, 6.04447815e+02, 1.20421989e+02],\n", - " [2.03306519e+02, 7.50426102e+01, 2.67505066e+02, 2.05633698e+02],\n", - " [1.19517188e+03, 6.38467712e+01, 1.24698804e+03, 1.68730698e+02],\n", - " [1.84821387e+03, 1.67153503e+02, 1.90323657e+03, 3.02870972e+02],\n", - " [1.37988928e+03, 2.19939079e+01, 1.41804504e+03, 1.55012115e+02],\n", - " [7.17583542e+01, 7.20953979e+02, 1.72771164e+02, 8.85758911e+02],\n", - " [1.79865027e+03, 1.72119644e+02, 1.85807544e+03, 2.95064758e+02],\n", - " [9.68751465e+02, 5.69778137e+02, 1.05546704e+03, 7.61900757e+02],\n", - " [7.31998657e+02, 9.02448242e+02, 8.79989014e+02, 1.07983252e+03],\n", - " [1.76060571e+03, 3.13401489e+02, 1.84129626e+03, 4.76827332e+02],\n", - " [9.35263184e+02, 6.66756630e-01, 9.94099670e+02, 1.20623856e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5193198 , 0.56603307, 0.64697 , 0.81959593, 0.6790504 ,\n", - " 0.7307013 , 0.3441922 , 0.48626316, 0.5307493 , 0.5758849 ,\n", - " 0.711226 , 0.5848769 , 0.43344966, 0.61525977, 0.5575188 ,\n", - " 0.31432366, 0.42313525, 0.7610433 , 0.45254374, 0.713699 ,\n", - " 0.60641956, 0.49471685, 0.8037549 , 0.46362117, 0.4486775 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 29, 45, 44, 30, 51, 53, 55, 48, 57, 61, 40,\n", - " 64, 35, 65, 24, 33, 66, 13, 67]), data={'frame_number': [210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210, 210]}),\n", - " Detections(xyxy=array([[1.06025452e+03, 1.87490051e+02, 1.12070288e+03, 3.32266235e+02],\n", - " [6.83179749e+02, 3.27032738e+01, 7.32406860e+02, 1.66431107e+02],\n", - " [1.17622949e+03, 4.83806885e+02, 1.24532483e+03, 6.32086121e+02],\n", - " [9.25131836e+02, 7.46681824e+02, 1.02296472e+03, 9.46789673e+02],\n", - " [1.51647424e+03, 1.06425095e+02, 1.57428650e+03, 2.44276642e+02],\n", - " [5.16648010e+02, 8.87350281e+02, 6.16171997e+02, 1.06844971e+03],\n", - " [1.02697534e+03, 3.13310150e+02, 1.06933887e+03, 4.45898346e+02],\n", - " [1.85644629e+03, 6.52300598e+02, 1.92558069e+03, 8.29934753e+02],\n", - " [4.88004242e+02, 6.91784790e+02, 5.72113831e+02, 8.62556091e+02],\n", - " [1.24053442e+03, 3.01522552e+02, 1.30526660e+03, 4.54526154e+02],\n", - " [6.91370789e+02, 4.01860291e+02, 7.65750671e+02, 5.86741760e+02],\n", - " [4.37666512e+01, 1.20169548e+02, 9.75822144e+01, 2.47357101e+02],\n", - " [9.03825073e+02, 2.62179230e+02, 9.59438721e+02, 4.05661438e+02],\n", - " [5.59244812e+02, 2.00237255e+01, 6.05752197e+02, 1.20216652e+02],\n", - " [2.03169815e+02, 7.61909180e+01, 2.67119354e+02, 2.05773087e+02],\n", - " [1.19580359e+03, 6.34849129e+01, 1.24778088e+03, 1.68957214e+02],\n", - " [1.84865259e+03, 1.68057693e+02, 1.90425171e+03, 3.04854889e+02],\n", - " [1.37990076e+03, 2.19946289e+01, 1.41804138e+03, 1.55010712e+02],\n", - " [1.80030151e+03, 1.71807556e+02, 1.85909766e+03, 2.94035614e+02],\n", - " [9.72431824e+02, 5.73880371e+02, 1.05648792e+03, 7.60763245e+02],\n", - " [7.33668945e+02, 8.98181580e+02, 8.80789978e+02, 1.07994312e+03],\n", - " [1.75921619e+03, 3.14639771e+02, 1.84136218e+03, 4.81868469e+02],\n", - " [9.34731689e+02, 2.50427634e-01, 9.93615723e+02, 1.20850372e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.4923793 , 0.5449958 , 0.7171956 , 0.80036545, 0.6634556 ,\n", - " 0.6991428 , 0.54892343, 0.40709066, 0.49803448, 0.64759743,\n", - " 0.5995656 , 0.39317328, 0.6112433 , 0.47622055, 0.32761443,\n", - " 0.41475984, 0.7580321 , 0.4308544 , 0.62810725, 0.38877177,\n", - " 0.8160392 , 0.39021033, 0.41989756], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 44, 30, 51, 53, 55, 48, 57, 61, 40, 64,\n", - " 35, 24, 33, 66, 13, 67]), data={'frame_number': [211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211, 211]}),\n", - " Detections(xyxy=array([[1.05925757e+03, 1.85829575e+02, 1.11956250e+03, 3.31394135e+02],\n", - " [6.83709045e+02, 3.17033539e+01, 7.32965027e+02, 1.64981064e+02],\n", - " [1.17576868e+03, 4.87704895e+02, 1.24625769e+03, 6.36810120e+02],\n", - " [9.25428894e+02, 7.50432495e+02, 1.02205579e+03, 9.48232056e+02],\n", - " [1.51538501e+03, 1.05615784e+02, 1.57400879e+03, 2.44112183e+02],\n", - " [5.16084473e+02, 8.91977356e+02, 6.15926147e+02, 1.07409570e+03],\n", - " [1.02741199e+03, 3.11524261e+02, 1.06975183e+03, 4.43499084e+02],\n", - " [1.85854773e+03, 6.58859314e+02, 1.92613916e+03, 8.36511536e+02],\n", - " [4.87690491e+02, 6.95251831e+02, 5.72058289e+02, 8.66590759e+02],\n", - " [1.24009302e+03, 2.99329926e+02, 1.30563269e+03, 4.54787079e+02],\n", - " [6.91862488e+02, 3.99015717e+02, 7.65563660e+02, 5.83648865e+02],\n", - " [4.33474312e+01, 1.21493645e+02, 9.67336273e+01, 2.47963104e+02],\n", - " [9.04770203e+02, 2.63549957e+02, 9.59788574e+02, 4.06582458e+02],\n", - " [5.60685913e+02, 2.07128258e+01, 6.07507263e+02, 1.20131592e+02],\n", - " [2.02770554e+02, 7.65638733e+01, 2.66657898e+02, 2.05761795e+02],\n", - " [1.19644897e+03, 6.27403564e+01, 1.24889600e+03, 1.69113785e+02],\n", - " [1.84921155e+03, 1.68366104e+02, 1.90551074e+03, 3.06204681e+02],\n", - " [1.37982983e+03, 2.19952621e+01, 1.41811902e+03, 1.55670181e+02],\n", - " [1.80218738e+03, 1.72974823e+02, 1.85948096e+03, 2.93615692e+02],\n", - " [9.76093628e+02, 5.75253418e+02, 1.05915466e+03, 7.60817261e+02],\n", - " [7.34629883e+02, 8.95402954e+02, 8.79547302e+02, 1.07998669e+03],\n", - " [9.34598206e+02, 9.03600007e-02, 9.93299255e+02, 1.20857811e+02],\n", - " [3.73422028e+02, 4.80778076e+02, 4.58953949e+02, 6.42825317e+02],\n", - " [3.33154266e+02, 4.67021973e+02, 3.88921753e+02, 6.09890808e+02],\n", - " [7.72854309e+01, 7.28057617e+02, 1.79496246e+02, 8.93762146e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.51962835, 0.5334225 , 0.693567 , 0.83923304, 0.68691003,\n", - " 0.73210573, 0.5365716 , 0.480784 , 0.5399273 , 0.6083004 ,\n", - " 0.58151996, 0.4296537 , 0.6480206 , 0.5190263 , 0.4323192 ,\n", - " 0.3756603 , 0.7616828 , 0.4468557 , 0.6845934 , 0.37899068,\n", - " 0.80616015, 0.45051944, 0.30056924, 0.3406239 , 0.46022707],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 44, 30, 51, 53, 55, 48, 57, 61, 40, 64,\n", - " 35, 24, 33, 66, 67, 46, 29, 65]), data={'frame_number': [212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212, 212]}),\n", - " Detections(xyxy=array([[1.05965112e+03, 1.83958054e+02, 1.11969714e+03, 3.30482971e+02],\n", - " [6.82615051e+02, 2.94048176e+01, 7.31810608e+02, 1.63169174e+02],\n", - " [1.17703674e+03, 4.92344788e+02, 1.24711340e+03, 6.39765808e+02],\n", - " [9.26208008e+02, 7.54974670e+02, 1.02037109e+03, 9.47889038e+02],\n", - " [1.51448047e+03, 1.04046249e+02, 1.57250916e+03, 2.40813263e+02],\n", - " [5.15675598e+02, 8.98839905e+02, 6.12749573e+02, 1.07607275e+03],\n", - " [1.02754541e+03, 3.09630585e+02, 1.06996313e+03, 4.42734528e+02],\n", - " [1.86013391e+03, 6.67710083e+02, 1.92680310e+03, 8.47386292e+02],\n", - " [4.86053986e+02, 7.04278503e+02, 5.69663147e+02, 8.73827637e+02],\n", - " [1.23985217e+03, 2.97308838e+02, 1.30586597e+03, 4.55023407e+02],\n", - " [6.91456238e+02, 3.95411499e+02, 7.64805664e+02, 5.80567322e+02],\n", - " [4.35038490e+01, 1.21980309e+02, 9.68032990e+01, 2.48832520e+02],\n", - " [9.04581055e+02, 2.65295258e+02, 9.60447876e+02, 4.11492340e+02],\n", - " [5.65053101e+02, 2.03041248e+01, 6.13407776e+02, 1.22082016e+02],\n", - " [2.02069092e+02, 7.66492462e+01, 2.66375549e+02, 2.06365265e+02],\n", - " [1.19782263e+03, 6.11855431e+01, 1.25139636e+03, 1.69889191e+02],\n", - " [1.84912451e+03, 1.71066345e+02, 1.90624451e+03, 3.09930115e+02],\n", - " [1.37981580e+03, 2.19958076e+01, 1.41813904e+03, 1.55917587e+02],\n", - " [1.80475293e+03, 1.74032547e+02, 1.86036682e+03, 2.92758057e+02],\n", - " [9.76455627e+02, 5.78288696e+02, 1.05903564e+03, 7.61377319e+02],\n", - " [7.31972351e+02, 8.88749084e+02, 8.76342529e+02, 1.07936438e+03],\n", - " [9.34018127e+02, 6.91955090e-01, 9.92328613e+02, 1.20790268e+02],\n", - " [3.72281921e+02, 4.80977356e+02, 4.56818573e+02, 6.42974792e+02],\n", - " [3.32035278e+02, 4.66991730e+02, 3.88563049e+02, 6.11443848e+02],\n", - " [8.07579041e+01, 7.35935120e+02, 1.86611603e+02, 9.07272278e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.48808825, 0.5265085 , 0.6786315 , 0.82428217, 0.6050683 ,\n", - " 0.7584872 , 0.5258072 , 0.3704015 , 0.51047695, 0.5998655 ,\n", - " 0.56299996, 0.46454608, 0.6649475 , 0.40903464, 0.34785658,\n", - " 0.42669004, 0.7308998 , 0.4460915 , 0.65742415, 0.38481835,\n", - " 0.779384 , 0.47872445, 0.36158666, 0.3951531 , 0.5501355 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 44, 30, 51, 53, 55, 48, 57, 61, 40, 64,\n", - " 35, 24, 33, 66, 67, 46, 29, 65]), data={'frame_number': [213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213, 213]}),\n", - " Detections(xyxy=array([[1.06343604e+03, 1.83980042e+02, 1.12272229e+03, 3.28891205e+02],\n", - " [6.82392700e+02, 2.72755280e+01, 7.30510559e+02, 1.58584579e+02],\n", - " [1.17882288e+03, 4.97274384e+02, 1.24809644e+03, 6.42689453e+02],\n", - " [9.27220276e+02, 7.59158081e+02, 1.01900677e+03, 9.46863342e+02],\n", - " [1.51348828e+03, 1.00856659e+02, 1.57136694e+03, 2.36979507e+02],\n", - " [5.16465637e+02, 9.05908020e+02, 6.09967529e+02, 1.07661987e+03],\n", - " [1.02749731e+03, 3.07691223e+02, 1.07016064e+03, 4.42560852e+02],\n", - " [1.86130847e+03, 6.73448120e+02, 1.92705847e+03, 8.55220398e+02],\n", - " [4.85419434e+02, 7.08891724e+02, 5.68128052e+02, 8.76392395e+02],\n", - " [1.23961621e+03, 2.96664215e+02, 1.30546167e+03, 4.55241669e+02],\n", - " [6.90001831e+02, 3.93488861e+02, 7.62560364e+02, 5.77500977e+02],\n", - " [4.34856033e+01, 1.22807045e+02, 9.62858124e+01, 2.49139648e+02],\n", - " [9.03540466e+02, 2.66534027e+02, 9.60334045e+02, 4.15233582e+02],\n", - " [5.67599365e+02, 2.08026638e+01, 6.15844727e+02, 1.22147232e+02],\n", - " [2.01199112e+02, 7.66333847e+01, 2.65559875e+02, 2.06544952e+02],\n", - " [1.19812451e+03, 5.86723900e+01, 1.25247717e+03, 1.69568481e+02],\n", - " [1.84930981e+03, 1.74680679e+02, 1.90625745e+03, 3.11943665e+02],\n", - " [1.37982214e+03, 2.19962978e+01, 1.41813794e+03, 1.56007797e+02],\n", - " [1.80657800e+03, 1.76386810e+02, 1.86109473e+03, 2.93749451e+02],\n", - " [9.76519958e+02, 5.80610046e+02, 1.05893103e+03, 7.61451843e+02],\n", - " [7.31463684e+02, 8.83110962e+02, 8.74556824e+02, 1.07912024e+03],\n", - " [9.33003845e+02, 9.20013726e-01, 9.91381470e+02, 1.21365219e+02],\n", - " [3.68471741e+02, 4.80379761e+02, 4.50246521e+02, 6.42360413e+02],\n", - " [3.31876740e+02, 4.66981750e+02, 3.88852051e+02, 6.11996216e+02],\n", - " [8.50651398e+01, 7.40651428e+02, 1.90568253e+02, 9.12013916e+02],\n", - " [1.76100244e+03, 3.22065735e+02, 1.84228210e+03, 4.87538483e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.46257252, 0.5095755 , 0.70717573, 0.81651366, 0.63898575,\n", - " 0.7676216 , 0.5522309 , 0.42575422, 0.4775362 , 0.63211685,\n", - " 0.59949976, 0.46037644, 0.6782775 , 0.33759648, 0.3778732 ,\n", - " 0.42006528, 0.7336258 , 0.45776182, 0.6814744 , 0.57565266,\n", - " 0.7646456 , 0.49149966, 0.35003477, 0.3637483 , 0.6676738 ,\n", - " 0.3582181 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 44, 30, 51, 53, 55, 48, 57, 61, 40, 64,\n", - " 35, 24, 33, 66, 67, 46, 29, 65, 13]), data={'frame_number': [214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214, 214]}),\n", - " Detections(xyxy=array([[1.06574500e+03, 1.81421494e+02, 1.12501648e+03, 3.26375397e+02],\n", - " [6.82804138e+02, 2.32135735e+01, 7.30840332e+02, 1.54916061e+02],\n", - " [1.18197473e+03, 4.99659302e+02, 1.24993347e+03, 6.41641479e+02],\n", - " [9.28776611e+02, 7.63874756e+02, 1.01798425e+03, 9.45616272e+02],\n", - " [1.51241089e+03, 9.83949966e+01, 1.57040955e+03, 2.35620743e+02],\n", - " [5.16116455e+02, 9.11680725e+02, 6.06927307e+02, 1.07664575e+03],\n", - " [1.02767432e+03, 3.05732910e+02, 1.07071716e+03, 4.42599792e+02],\n", - " [4.84516418e+02, 7.11786743e+02, 5.66272156e+02, 8.77159363e+02],\n", - " [1.23885388e+03, 2.95884949e+02, 1.30402466e+03, 4.54130432e+02],\n", - " [6.89720154e+02, 3.90235687e+02, 7.60803650e+02, 5.71145081e+02],\n", - " [4.35726547e+01, 1.23101746e+02, 9.60348892e+01, 2.49232941e+02],\n", - " [9.02941284e+02, 2.66923767e+02, 9.60475342e+02, 4.17230469e+02],\n", - " [5.69194458e+02, 2.03284760e+01, 6.17886169e+02, 1.22817200e+02],\n", - " [2.00743820e+02, 7.72419281e+01, 2.64726562e+02, 2.06565826e+02],\n", - " [1.19982178e+03, 5.57967224e+01, 1.25448718e+03, 1.68178619e+02],\n", - " [1.85073877e+03, 1.78656509e+02, 1.90682898e+03, 3.12633484e+02],\n", - " [1.37983521e+03, 2.19967346e+01, 1.41812952e+03, 1.56037903e+02],\n", - " [1.80731165e+03, 1.77883438e+02, 1.86190137e+03, 2.96772156e+02],\n", - " [9.76287476e+02, 5.84003662e+02, 1.05970264e+03, 7.65367065e+02],\n", - " [7.31846985e+02, 8.76598572e+02, 8.73282288e+02, 1.07775024e+03],\n", - " [9.32227051e+02, 3.41838956e-01, 9.91392334e+02, 1.22855759e+02],\n", - " [3.68807373e+02, 4.80814423e+02, 4.48737000e+02, 6.42790649e+02],\n", - " [3.31769653e+02, 4.67637970e+02, 3.89022919e+02, 6.12843567e+02],\n", - " [8.80448227e+01, 7.44267395e+02, 1.92422058e+02, 9.14295471e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.44912106, 0.5517337 , 0.6848309 , 0.84753436, 0.65120053,\n", - " 0.768463 , 0.60368735, 0.4852874 , 0.6917417 , 0.64126724,\n", - " 0.4268165 , 0.79470295, 0.49176624, 0.40252262, 0.45328134,\n", - " 0.6822041 , 0.5042864 , 0.6568692 , 0.60223347, 0.77658784,\n", - " 0.53400064, 0.3921188 , 0.352135 , 0.62585044], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 30, 51, 53, 55, 48, 57, 61, 40, 64, 35,\n", - " 24, 33, 66, 67, 46, 29, 65]), data={'frame_number': [215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215, 215]}),\n", - " Detections(xyxy=array([[1.06715771e+03, 1.79203430e+02, 1.12663867e+03, 3.24835876e+02],\n", - " [6.83146240e+02, 2.17605190e+01, 7.30110657e+02, 1.50970123e+02],\n", - " [1.18480542e+03, 5.02398834e+02, 1.25160779e+03, 6.41070801e+02],\n", - " [9.29018127e+02, 7.67446899e+02, 1.01726514e+03, 9.46324768e+02],\n", - " [1.51185730e+03, 9.62124023e+01, 1.56962390e+03, 2.33863251e+02],\n", - " [5.14937073e+02, 9.16279602e+02, 6.04211548e+02, 1.07786548e+03],\n", - " [1.02772705e+03, 3.03765411e+02, 1.07095740e+03, 4.42051331e+02],\n", - " [4.83657654e+02, 7.14029602e+02, 5.64815491e+02, 8.77918213e+02],\n", - " [1.23812708e+03, 2.92404388e+02, 1.30327722e+03, 4.51178436e+02],\n", - " [6.90201538e+02, 3.87794525e+02, 7.58930115e+02, 5.62861938e+02],\n", - " [4.34769669e+01, 1.22532883e+02, 9.61035461e+01, 2.49247635e+02],\n", - " [9.03353638e+02, 2.68959686e+02, 9.61187500e+02, 4.18557159e+02],\n", - " [5.71461670e+02, 2.14591541e+01, 6.19425903e+02, 1.23715591e+02],\n", - " [2.01404724e+02, 7.80909729e+01, 2.64917908e+02, 2.06529282e+02],\n", - " [1.20046204e+03, 4.95151978e+01, 1.25583191e+03, 1.65069687e+02],\n", - " [1.85055884e+03, 1.80101456e+02, 1.90705054e+03, 3.12811218e+02],\n", - " [1.37984985e+03, 2.19971199e+01, 1.41811914e+03, 1.56045380e+02],\n", - " [1.80774194e+03, 1.79058350e+02, 1.86264038e+03, 2.99855255e+02],\n", - " [9.74532654e+02, 5.85807495e+02, 1.06223486e+03, 7.76022461e+02],\n", - " [7.33170715e+02, 8.71654541e+02, 8.70352234e+02, 1.07338196e+03],\n", - " [9.31944214e+02, 7.77577698e-01, 9.91371826e+02, 1.24690155e+02],\n", - " [3.68885376e+02, 4.80313690e+02, 4.46972137e+02, 6.41628662e+02],\n", - " [9.02217789e+01, 7.46135986e+02, 1.93755341e+02, 9.14971252e+02],\n", - " [1.76052271e+03, 3.24690826e+02, 1.84227112e+03, 4.90530487e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.45378727, 0.60034776, 0.69221556, 0.8264333 , 0.68992287,\n", - " 0.7826108 , 0.55578375, 0.3276435 , 0.67185545, 0.64418685,\n", - " 0.4542361 , 0.80517983, 0.38164812, 0.46114025, 0.46780267,\n", - " 0.7189058 , 0.51291037, 0.6825769 , 0.6904915 , 0.7787018 ,\n", - " 0.49196813, 0.352309 , 0.5887209 , 0.35118198], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 30, 51, 53, 55, 48, 57, 61, 40, 64, 35,\n", - " 24, 33, 66, 67, 46, 65, 13]), data={'frame_number': [216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216, 216]}),\n", - " Detections(xyxy=array([[1.0672454e+03, 1.7645555e+02, 1.1263480e+03, 3.2168475e+02],\n", - " [6.8367712e+02, 1.8630867e+01, 7.3076099e+02, 1.4823599e+02],\n", - " [1.1872498e+03, 5.0394275e+02, 1.2534598e+03, 6.4138196e+02],\n", - " [9.2660254e+02, 7.6925861e+02, 1.0188311e+03, 9.5652777e+02],\n", - " [1.5109543e+03, 9.4795479e+01, 1.5674679e+03, 2.2997331e+02],\n", - " [5.1445837e+02, 9.2112744e+02, 6.0198511e+02, 1.0781909e+03],\n", - " [1.0279980e+03, 3.0310718e+02, 1.0708092e+03, 4.4061649e+02],\n", - " [4.8346616e+02, 7.1669861e+02, 5.6352881e+02, 8.7803259e+02],\n", - " [1.2383610e+03, 2.8987183e+02, 1.3018538e+03, 4.4422818e+02],\n", - " [6.9100311e+02, 3.8566724e+02, 7.5765680e+02, 5.5451147e+02],\n", - " [4.3312153e+01, 1.2296237e+02, 9.5628311e+01, 2.4923558e+02],\n", - " [9.0325262e+02, 2.7163446e+02, 9.6170776e+02, 4.2160248e+02],\n", - " [5.7473761e+02, 2.1226526e+01, 6.2133447e+02, 1.2338398e+02],\n", - " [2.0115082e+02, 7.8370033e+01, 2.6484756e+02, 2.0713962e+02],\n", - " [1.2022172e+03, 4.3925316e+01, 1.2586533e+03, 1.6327078e+02],\n", - " [1.8521003e+03, 1.8124393e+02, 1.9087998e+03, 3.1148663e+02],\n", - " [1.3798641e+03, 2.1997459e+01, 1.4181085e+03, 1.5604463e+02],\n", - " [1.8077965e+03, 1.7945493e+02, 1.8629585e+03, 3.0164352e+02],\n", - " [9.7275995e+02, 5.9030963e+02, 1.0629454e+03, 7.8576392e+02],\n", - " [7.3545398e+02, 8.6669940e+02, 8.6745972e+02, 1.0665023e+03],\n", - " [9.3209442e+02, 1.5997716e+00, 9.9109406e+02, 1.2534395e+02],\n", - " [3.7070880e+02, 4.7879538e+02, 4.4856619e+02, 6.4118823e+02],\n", - " [9.3600105e+01, 7.4734698e+02, 1.9472714e+02, 9.1241101e+02],\n", - " [1.7611780e+03, 3.2767172e+02, 1.8420647e+03, 4.9161243e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.51411134, 0.5951796 , 0.6460371 , 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225, 225, 225, 225, 225, 225, 225, 225, 225, 225, 225, 225, 225]}),\n", - " Detections(xyxy=array([[1065.8646 , 159.17358 , 1125.13 , 302.3708 ],\n", - " [ 684.84674 , 9.141935, 731.7483 , 138.76291 ],\n", - " [1199.0194 , 539.006 , 1265.8467 , 680.6549 ],\n", - " [ 939.9282 , 815.2283 , 1035.3396 , 1016.5528 ],\n", - " [1499.1978 , 79.26605 , 1556.1786 , 218.28503 ],\n", - " [ 514.34033 , 965.90015 , 597.1112 , 1080.3274 ],\n", - " [1028.0199 , 276.06644 , 1068.9968 , 408.2482 ],\n", - " [ 470.68546 , 755.0844 , 559.0411 , 932.73676 ],\n", - " [1232.6382 , 260.0832 , 1297.8947 , 414.10193 ],\n", - " [ 697.633 , 359.95624 , 765.22687 , 533.46735 ],\n", - " [ 899.9984 , 292.35968 , 962.87054 , 449.8127 ],\n", - " [ 605.39264 , 23.486094, 653.6184 , 124.6148 ],\n", - " [ 202.26591 , 93.05789 , 266.04538 , 223.6712 ],\n", - " [1857.2214 , 188.65256 , 1921.6635 , 326.45035 ],\n", - " [1379.456 , 21.999182, 1417.5344 , 155.32332 ],\n", - " [1816.2628 , 190.07063 , 1872.4131 , 310.8327 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[1766.7571 , 351.77594 , 1843.072 , 502.20016 ],\n", - " [1214.1295 , 25.528822, 1268.7324 , 148.98352 ],\n", - " [ 470.62277 , 765.62775 , 557.0295 , 939.26575 ]],\n", - " dtype=float32), mask=None, confidence=array([0.54801214, 0.47314608, 0.66644406, 0.80552727, 0.7024376 ,\n", - " 0.6232557 , 0.5418692 , 0.68465805, 0.6168263 , 0.7184174 ,\n", - " 0.30133104, 0.46674448, 0.536662 , 0.55404544, 0.64723206,\n", - " 0.66995734, 0.8087326 , 0.45941326, 0.5410358 , 0.33345163,\n", - " 0.41918838], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 64, 35, 24, 33, 66,\n", - " 67, 13, 40, 30]), data={'frame_number': [228, 228, 228, 228, 228, 228, 228, 228, 228, 228, 228, 228, 228, 228, 228, 228, 228, 228, 228, 228, 228]}),\n", - " Detections(xyxy=array([[1.06318787e+03, 1.50054657e+02, 1.12317908e+03, 2.97619415e+02],\n", - " [6.86463074e+02, 1.50310671e+00, 7.30901611e+02, 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0.4647763 , 0.47861737, 0.31822565,\n", - " 0.57093793], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 64, 35, 24, 33, 66,\n", - " 67, 13, 40, 30]), data={'frame_number': [230, 230, 230, 230, 230, 230, 230, 230, 230, 230, 230, 230, 230, 230, 230, 230, 230, 230, 230, 230, 230]}),\n", - " Detections(xyxy=array([[1.06387292e+03, 1.43614456e+02, 1.12170898e+03, 2.86833893e+02],\n", - " [6.86986633e+02, 1.22737372e+00, 7.30398682e+02, 1.21448364e+02],\n", - " [1.19539001e+03, 5.54544006e+02, 1.26922681e+03, 7.06952087e+02],\n", - " [9.40683838e+02, 8.37545349e+02, 1.03902942e+03, 1.03688232e+03],\n", - " [1.49527356e+03, 6.83297501e+01, 1.54957495e+03, 2.02668549e+02],\n", - " [5.20983093e+02, 9.95195129e+02, 5.99024597e+02, 1.07915076e+03],\n", - " [1.02376709e+03, 2.65110046e+02, 1.06781458e+03, 4.04228577e+02],\n", - " [1.23610315e+03, 2.43925766e+02, 1.29690405e+03, 3.86135254e+02],\n", - " [7.00996338e+02, 3.39667511e+02, 7.66281616e+02, 5.05764496e+02],\n", - " [9.01175354e+02, 3.03702362e+02, 9.61995239e+02, 4.57666992e+02],\n", - " [6.13800720e+02, 2.05611897e+01, 6.59062012e+02, 1.22609306e+02],\n", - " [2.05228180e+02, 9.72187500e+01, 2.68649628e+02, 2.24736710e+02],\n", - " [1.85703271e+03, 1.62140182e+02, 1.92662732e+03, 3.26318481e+02],\n", - " [1.37968506e+03, 2.19995670e+01, 1.41727734e+03, 1.54984161e+02],\n", - " [1.82225659e+03, 1.94672485e+02, 1.88247461e+03, 3.23717133e+02],\n", - " [9.87916504e+02, 6.47862610e+02, 1.08105017e+03, 8.54909302e+02],\n", - " [7.38524841e+02, 7.93632202e+02, 8.36615295e+02, 9.85079834e+02],\n", - " [9.29819946e+02, 1.41044683e+01, 9.86342041e+02, 1.43127731e+02],\n", - " [1.75995776e+03, 3.57242798e+02, 1.84398926e+03, 5.18416504e+02],\n", - " [4.70632599e+02, 7.74810974e+02, 5.53397461e+02, 9.40853333e+02],\n", - " [1.34490479e+02, 8.06463074e+02, 2.37166748e+02, 9.73775879e+02],\n", - " [3.77168732e+02, 4.77905029e+02, 4.56102692e+02, 6.40956604e+02],\n", - " [4.22365723e+01, 1.27111794e+02, 9.55798645e+01, 2.48111008e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6064851 , 0.51163715, 0.7925546 , 0.8372363 , 0.69833624,\n", - " 0.78862756, 0.58518404, 0.6036526 , 0.74911517, 0.69995964,\n", - " 0.43087345, 0.41668144, 0.41081712, 0.5199537 , 0.63231975,\n", - " 0.71673775, 0.7707167 , 0.46146077, 0.58737403, 0.5358363 ,\n", - " 0.35493827, 0.35402086, 0.30256715], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 64, 35, 24, 33, 66,\n", - " 67, 13, 30, 65, 46, 55]), data={'frame_number': [231, 231, 231, 231, 231, 231, 231, 231, 231, 231, 231, 231, 231, 231, 231, 231, 231, 231, 231, 231, 231, 231, 231]}),\n", - " Detections(xyxy=array([[1.06390222e+03, 1.40412216e+02, 1.12114429e+03, 2.82150421e+02],\n", - " [6.86714417e+02, 1.28079474e+00, 7.29808289e+02, 1.20350182e+02],\n", - " [1.19470337e+03, 5.60570740e+02, 1.26929260e+03, 7.13075928e+02],\n", - " [9.37296143e+02, 8.41984680e+02, 1.03983643e+03, 1.04974304e+03],\n", - " [1.49508521e+03, 6.61690750e+01, 1.54912744e+03, 2.00143661e+02],\n", - " [5.20500061e+02, 9.99422485e+02, 5.98988403e+02, 1.07981116e+03],\n", - " [1.02358484e+03, 2.63535461e+02, 1.06740637e+03, 4.00749023e+02],\n", - " [1.23581165e+03, 2.40280411e+02, 1.29710840e+03, 3.83336243e+02],\n", - " [7.01684875e+02, 3.38165497e+02, 7.65655457e+02, 4.99326843e+02],\n", - " [9.01969177e+02, 3.06581879e+02, 9.63064819e+02, 4.63253906e+02],\n", - " [6.16119446e+02, 2.01267700e+01, 6.60452332e+02, 1.23526863e+02],\n", - " [2.04483368e+02, 9.74477921e+01, 2.68991058e+02, 2.27179047e+02],\n", - " [1.85628784e+03, 1.58315704e+02, 1.92680225e+03, 3.28418762e+02],\n", - " [1.37971570e+03, 2.19996185e+01, 1.41725085e+03, 1.54984543e+02],\n", - " [1.82230261e+03, 1.95888123e+02, 1.88285339e+03, 3.25779755e+02],\n", - " [9.89259827e+02, 6.53202148e+02, 1.08239795e+03, 8.61953125e+02],\n", - " [7.40614258e+02, 7.90147522e+02, 8.33229614e+02, 9.72188721e+02],\n", - " [9.29509766e+02, 1.62034054e+01, 9.85810059e+02, 1.45481262e+02],\n", - " [1.76114636e+03, 3.58491028e+02, 1.84606433e+03, 5.19689697e+02],\n", - " [4.70989929e+02, 7.78452332e+02, 5.52547668e+02, 9.41424133e+02],\n", - " [1.35820328e+02, 8.10247742e+02, 2.40029953e+02, 9.79045044e+02],\n", - " [4.17627373e+01, 1.26398529e+02, 9.61294403e+01, 2.48075500e+02],\n", - " [3.35934753e+02, 4.76009430e+02, 3.96268066e+02, 6.16157349e+02],\n", - " [1.21986133e+03, 1.72018700e+01, 1.27289966e+03, 1.39920486e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.64397806, 0.515777 , 0.7164959 , 0.8255771 , 0.6794236 ,\n", - " 0.72221696, 0.5977157 , 0.6770429 , 0.69083697, 0.70574003,\n", - " 0.502074 , 0.37906724, 0.44128853, 0.51048934, 0.53536 ,\n", - " 0.696576 , 0.7577621 , 0.45948398, 0.65726393, 0.4002652 ,\n", - " 0.4873216 , 0.36535552, 0.30980602, 0.31606883], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 64, 35, 24, 33, 66,\n", - " 67, 13, 30, 65, 55, 29, 40]), data={'frame_number': [232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232, 232]}),\n", - " Detections(xyxy=array([[1.06464380e+03, 1.38646698e+02, 1.12088477e+03, 2.77846100e+02],\n", - " [6.87237488e+02, 6.85872972e-01, 7.30297913e+02, 1.20038780e+02],\n", - " [1.19372778e+03, 5.66693604e+02, 1.26931970e+03, 7.19847107e+02],\n", - " [9.36279968e+02, 8.49380615e+02, 1.03917322e+03, 1.05710693e+03],\n", - " [1.49481702e+03, 6.54311218e+01, 1.54857532e+03, 1.98621078e+02],\n", - " [5.20381897e+02, 1.00273822e+03, 5.99610840e+02, 1.08002417e+03],\n", - " [1.02351086e+03, 2.60393250e+02, 1.06661951e+03, 3.94216400e+02],\n", - " [1.23566467e+03, 2.38375275e+02, 1.29723145e+03, 3.81777954e+02],\n", - " [7.01760132e+02, 3.35732758e+02, 7.65569519e+02, 4.95078857e+02],\n", - " [9.02951660e+02, 3.10225037e+02, 9.62792603e+02, 4.63992096e+02],\n", - " [6.19823914e+02, 1.99682922e+01, 6.63229858e+02, 1.24531372e+02],\n", - " [2.04057632e+02, 9.81555710e+01, 2.69248718e+02, 2.29382385e+02],\n", - " [1.85690271e+03, 1.53668289e+02, 1.92656201e+03, 3.25371521e+02],\n", - " [1.37974329e+03, 2.19996624e+01, 1.41722717e+03, 1.54985794e+02],\n", - " [1.82295068e+03, 1.98280441e+02, 1.88358435e+03, 3.28471375e+02],\n", - " [9.91065491e+02, 6.57729919e+02, 1.08416614e+03, 8.67091187e+02],\n", - " [7.43220703e+02, 7.86403503e+02, 8.31569397e+02, 9.61489563e+02],\n", - " [9.29865601e+02, 1.76385651e+01, 9.85798035e+02, 1.46983856e+02],\n", - " [1.76459644e+03, 3.59538147e+02, 1.84913196e+03, 5.19414124e+02],\n", - " [1.37497482e+02, 8.15543640e+02, 2.45854385e+02, 9.90759521e+02],\n", - " [4.16579552e+01, 1.26807472e+02, 9.62627640e+01, 2.47400208e+02],\n", - " [3.35652313e+02, 4.76121368e+02, 3.97203583e+02, 6.16090820e+02],\n", - " [1.22111255e+03, 1.60246048e+01, 1.27390649e+03, 1.39345810e+02],\n", - " [3.79350769e+02, 4.77173523e+02, 4.57855499e+02, 6.40963684e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.630453 , 0.5354189 , 0.7811111 , 0.86126626, 0.67609227,\n", - " 0.71511936, 0.64068675, 0.740044 , 0.76063454, 0.7213705 ,\n", - " 0.44494617, 0.37646228, 0.3870727 , 0.5117637 , 0.46142346,\n", - " 0.61140454, 0.71887344, 0.46648967, 0.67504317, 0.5556315 ,\n", - " 0.34391218, 0.32873678, 0.30889085, 0.334695 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 64, 35, 24, 33, 66,\n", - " 67, 13, 65, 55, 29, 40, 46]), data={'frame_number': [233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233, 233]}),\n", - " Detections(xyxy=array([[ 1.06396973e+03, 1.37420898e+02, 1.11975598e+03,\n", - " 2.75677460e+02],\n", - " [ 6.86975647e+02, -1.56623766e-01, 7.30264709e+02,\n", - " 1.20002937e+02],\n", - " [ 1.19390344e+03, 5.72823914e+02, 1.27005664e+03,\n", - " 7.24880432e+02],\n", - " [ 9.35219482e+02, 8.56657349e+02, 1.03821851e+03,\n", - " 1.06430969e+03],\n", - " [ 1.49442395e+03, 6.38983841e+01, 1.54741101e+03,\n", - " 1.94816101e+02],\n", - " [ 5.17093018e+02, 1.01068713e+03, 5.91772217e+02,\n", - " 1.08008459e+03],\n", - " [ 1.02416138e+03, 2.54645203e+02, 1.06700476e+03,\n", - " 3.86517395e+02],\n", - " [ 1.23545276e+03, 2.35790710e+02, 1.29744336e+03,\n", - " 3.80019775e+02],\n", - " [ 6.99994080e+02, 3.31600006e+02, 7.65299011e+02,\n", - " 4.93670135e+02],\n", - " [ 9.04560669e+02, 3.14176788e+02, 9.64100220e+02,\n", - " 4.68129272e+02],\n", - " [ 6.26001160e+02, 2.12261848e+01, 6.67870239e+02,\n", - " 1.24254883e+02],\n", - " [ 2.03529968e+02, 9.97014999e+01, 2.69696869e+02,\n", - " 2.32810638e+02],\n", - " [ 1.38005103e+03, 2.19997025e+01, 1.41758386e+03,\n", - " 1.54987259e+02],\n", - " [ 1.82386475e+03, 2.01122681e+02, 1.88441895e+03,\n", - " 3.30746552e+02],\n", - " [ 9.93118958e+02, 6.63897217e+02, 1.08602112e+03,\n", - " 8.73442871e+02],\n", - " [ 7.43514893e+02, 7.79827637e+02, 8.30329651e+02,\n", - " 9.52404480e+02],\n", - " [ 9.30773926e+02, 2.14422340e+01, 9.86345886e+02,\n", - " 1.50786118e+02],\n", - " [ 1.76706372e+03, 3.61834198e+02, 1.85111023e+03,\n", - " 5.19872375e+02],\n", - " [ 4.08438454e+01, 1.26960083e+02, 9.64296265e+01,\n", - " 2.47141861e+02],\n", - " [ 3.80950592e+02, 4.77694855e+02, 4.59059204e+02,\n", - " 6.40977051e+02]], dtype=float32), mask=None, confidence=array([0.67464435, 0.56569344, 0.7204622 , 0.8575491 , 0.6678797 ,\n", - " 0.48499224, 0.5941906 , 0.71982294, 0.758499 , 0.72633934,\n", - " 0.46525592, 0.4065174 , 0.5452734 , 0.354493 , 0.6640908 ,\n", - " 0.6120752 , 0.4872351 , 0.6499163 , 0.33161598, 0.37795517],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 35, 24, 33, 66, 67,\n", - " 13, 55, 46]), data={'frame_number': [234, 234, 234, 234, 234, 234, 234, 234, 234, 234, 234, 234, 234, 234, 234, 234, 234, 234, 234, 234]}),\n", - " Detections(xyxy=array([[ 1.06342212e+03, 1.37719086e+02, 1.11831677e+03,\n", - " 2.73644501e+02],\n", - " [ 6.87170227e+02, -4.28843826e-01, 7.30617065e+02,\n", - " 1.20062378e+02],\n", - " [ 1.19438623e+03, 5.75666016e+02, 1.27054712e+03,\n", - " 7.26608765e+02],\n", - " [ 9.34356079e+02, 8.62534546e+02, 1.03763098e+03,\n", - " 1.07077173e+03],\n", - " [ 1.49196509e+03, 6.20621223e+01, 1.54535852e+03,\n", - " 1.92815613e+02],\n", - " [ 5.13873352e+02, 1.01382196e+03, 5.88195923e+02,\n", - " 1.08008655e+03],\n", - " [ 1.02479102e+03, 2.52607620e+02, 1.06744873e+03,\n", - " 3.83098297e+02],\n", - " [ 1.23548779e+03, 2.33608505e+02, 1.29807825e+03,\n", - " 3.79497070e+02],\n", - " [ 6.98403809e+02, 3.28843933e+02, 7.64801270e+02,\n", - " 4.93933594e+02],\n", - " [ 9.04929321e+02, 3.17553040e+02, 9.62165588e+02,\n", - " 4.64965454e+02],\n", - " [ 6.30129944e+02, 2.03955803e+01, 6.71641235e+02,\n", - " 1.24800850e+02],\n", - " [ 2.02660431e+02, 1.00909470e+02, 2.69868347e+02,\n", - " 2.36037537e+02],\n", - " [ 1.37987195e+03, 2.19997387e+01, 1.41735388e+03,\n", - " 1.54988678e+02],\n", - " [ 9.95724182e+02, 6.68719543e+02, 1.08744482e+03,\n", - " 8.76320984e+02],\n", - " [ 7.43741272e+02, 7.72905701e+02, 8.31152832e+02,\n", - " 9.47988586e+02],\n", - " [ 9.32282959e+02, 2.35122452e+01, 9.87371277e+02,\n", - " 1.52173325e+02],\n", - " [ 1.76552136e+03, 3.64609528e+02, 1.85031409e+03,\n", - " 5.22611511e+02],\n", - " [ 4.02533684e+01, 1.27014481e+02, 9.67819138e+01,\n", - " 2.47044434e+02],\n", - " [ 3.81942291e+02, 4.77881409e+02, 4.59710602e+02,\n", - " 6.40318909e+02],\n", - " [ 1.44277832e+02, 8.27187073e+02, 2.58749481e+02,\n", - " 1.01307281e+03]], dtype=float32), mask=None, confidence=array([0.6360674 , 0.59598166, 0.7438867 , 0.8496744 , 0.7036824 ,\n", - " 0.5836318 , 0.59314525, 0.74886745, 0.7684269 , 0.6775286 ,\n", - " 0.4702037 , 0.44911233, 0.5515104 , 0.5353752 , 0.64774173,\n", - " 0.5117401 , 0.6751418 , 0.33378243, 0.39292052, 0.53576595],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 35, 33, 66, 67, 13,\n", - " 55, 46, 65]), data={'frame_number': [235, 235, 235, 235, 235, 235, 235, 235, 235, 235, 235, 235, 235, 235, 235, 235, 235, 235, 235, 235]}),\n", - " Detections(xyxy=array([[1.06313611e+03, 1.37926682e+02, 1.11721313e+03, 2.72332428e+02],\n", - " [6.87351196e+02, 1.75084010e-01, 7.29973389e+02, 1.18163994e+02],\n", - " [1.19582935e+03, 5.77243652e+02, 1.27141980e+03, 7.26418884e+02],\n", - " [9.34173157e+02, 8.67210815e+02, 1.03724866e+03, 1.07497620e+03],\n", - " [1.48901575e+03, 5.94475441e+01, 1.54337988e+03, 1.91493317e+02],\n", - " [5.12899170e+02, 1.01750604e+03, 5.86340698e+02, 1.08007983e+03],\n", - " [1.02543579e+03, 2.50624908e+02, 1.06788635e+03, 3.79951111e+02],\n", - " [1.23462830e+03, 2.32232971e+02, 1.29787585e+03, 3.80081573e+02],\n", - " [6.97942871e+02, 3.27255127e+02, 7.64467224e+02, 4.92847290e+02],\n", - " [9.04669861e+02, 3.19378387e+02, 9.63814392e+02, 4.73703613e+02],\n", - " [6.34345093e+02, 2.20563087e+01, 6.74804749e+02, 1.24343582e+02],\n", - " [2.02178223e+02, 1.01987366e+02, 2.70074158e+02, 2.38525482e+02],\n", - " [1.37981750e+03, 2.19997692e+01, 1.41725317e+03, 1.54989990e+02],\n", - " [9.94741699e+02, 6.71041992e+02, 1.08590454e+03, 8.76538879e+02],\n", - " [7.44677246e+02, 7.68536743e+02, 8.33962097e+02, 9.48567627e+02],\n", - " [9.33787292e+02, 2.49129467e+01, 9.88149780e+02, 1.52632324e+02],\n", - " [1.76604211e+03, 3.66237610e+02, 1.85284326e+03, 5.27532837e+02],\n", - " [3.83224335e+02, 4.77952850e+02, 4.60996246e+02, 6.39411194e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.58407956, 0.5555905 , 0.66390294, 0.828525 , 0.7620022 ,\n", - " 0.5774715 , 0.631098 , 0.7753775 , 0.74973625, 0.6679533 ,\n", - " 0.44635627, 0.47216317, 0.54870677, 0.51662344, 0.67149085,\n", - " 0.5116812 , 0.65623724, 0.36590874], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 35, 33, 66, 67, 13,\n", - " 46]), data={'frame_number': [236, 236, 236, 236, 236, 236, 236, 236, 236, 236, 236, 236, 236, 236, 236, 236, 236, 236]}),\n", - " Detections(xyxy=array([[ 1.0634132e+03, 1.3674202e+02, 1.1177848e+03, 2.7261734e+02],\n", - " [ 6.8787659e+02, -2.1849573e-01, 7.2993396e+02, 1.1618268e+02],\n", - " [ 1.1985081e+03, 5.7966760e+02, 1.2728923e+03, 7.2616858e+02],\n", - " [ 9.3427972e+02, 8.7274286e+02, 1.0362600e+03, 1.0776586e+03],\n", - " [ 1.4874966e+03, 5.8532349e+01, 1.5418145e+03, 1.8975661e+02],\n", - " [ 5.1323450e+02, 1.0227854e+03, 5.8373999e+02, 1.0800681e+03],\n", - " [ 1.0248716e+03, 2.4799301e+02, 1.0675303e+03, 3.7757257e+02],\n", - " [ 1.2337089e+03, 2.3049899e+02, 1.2977396e+03, 3.8107013e+02],\n", - " [ 6.9740710e+02, 3.2611429e+02, 7.6404004e+02, 4.9190942e+02],\n", - " [ 9.0582446e+02, 3.2196216e+02, 9.6511237e+02, 4.7876956e+02],\n", - " [ 6.3758618e+02, 2.3363972e+01, 6.7810413e+02, 1.2482255e+02],\n", - " [ 2.0134567e+02, 1.0236064e+02, 2.7013925e+02, 2.4072690e+02],\n", - " [ 1.3798094e+03, 2.1999796e+01, 1.4172034e+03, 1.5499117e+02],\n", - " [ 9.9731903e+02, 6.7439606e+02, 1.0875668e+03, 8.7774542e+02],\n", - " [ 7.4482220e+02, 7.6641449e+02, 8.3458630e+02, 9.4832196e+02],\n", - " [ 9.3443890e+02, 2.5393990e+01, 9.8835144e+02, 1.5274028e+02],\n", - " [ 1.7653867e+03, 3.6940677e+02, 1.8539580e+03, 5.3324530e+02],\n", - " [ 3.8330075e+02, 4.7798047e+02, 4.6117935e+02, 6.3907452e+02],\n", - " [ 4.6607904e+02, 7.9983319e+02, 5.5183319e+02, 9.7004675e+02],\n", - " [ 1.2318218e+03, 2.7810762e+01, 1.2766436e+03, 1.3210312e+02],\n", - " [ 1.5104784e+02, 8.3856110e+02, 2.6367657e+02, 1.0209181e+03]],\n", - " dtype=float32), mask=None, confidence=array([0.6099973 , 0.5578655 , 0.6455232 , 0.8228228 , 0.72818637,\n", - " 0.49010703, 0.644484 , 0.7576788 , 0.72501516, 0.6767717 ,\n", - " 0.4441533 , 0.44255134, 0.5237084 , 0.5573656 , 0.73009443,\n", - " 0.54606944, 0.64716554, 0.34070218, 0.3531137 , 0.34981382,\n", - " 0.48147753], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 35, 33, 66, 67, 13,\n", - " 46, 30, 40, 65]), data={'frame_number': [237, 237, 237, 237, 237, 237, 237, 237, 237, 237, 237, 237, 237, 237, 237, 237, 237, 237, 237, 237, 237]}),\n", - " Detections(xyxy=array([[1.06443555e+03, 1.36358505e+02, 1.11908691e+03, 2.73463013e+02],\n", - " [6.88378235e+02, 3.36609095e-01, 7.29607849e+02, 1.13506126e+02],\n", - " [1.20146301e+03, 5.83751648e+02, 1.27411768e+03, 7.26574463e+02],\n", - " [9.34524719e+02, 8.76619324e+02, 1.03567346e+03, 1.07909424e+03],\n", - " [1.48594617e+03, 5.75995178e+01, 1.54031067e+03, 1.88529312e+02],\n", - " [5.13835632e+02, 1.02862061e+03, 5.80343811e+02, 1.08005457e+03],\n", - " [1.02585999e+03, 2.46445221e+02, 1.06819666e+03, 3.75475403e+02],\n", - " [1.23382495e+03, 2.28623123e+02, 1.29723059e+03, 3.78260376e+02],\n", - " [6.97895386e+02, 3.24471191e+02, 7.65174316e+02, 4.92332550e+02],\n", - " [9.06690308e+02, 3.23511627e+02, 9.65175354e+02, 4.79958344e+02],\n", - " [6.40480896e+02, 2.31862202e+01, 6.81413452e+02, 1.24333214e+02],\n", - " [2.01171432e+02, 1.05080345e+02, 2.69362518e+02, 2.42161011e+02],\n", - " [1.38002136e+03, 2.13389492e+01, 1.41763184e+03, 1.54992203e+02],\n", - " [9.98873047e+02, 6.76822571e+02, 1.08818909e+03, 8.78020264e+02],\n", - " [7.43781677e+02, 7.65157410e+02, 8.33957947e+02, 9.49109192e+02],\n", - " [9.34874817e+02, 2.61898346e+01, 9.88219788e+02, 1.52723816e+02],\n", - " [1.76755798e+03, 3.71196594e+02, 1.85715894e+03, 5.37957153e+02],\n", - " [3.83269409e+02, 4.77991211e+02, 4.61925934e+02, 6.39618591e+02],\n", - " [4.65034637e+02, 8.03929626e+02, 5.53894165e+02, 9.80350037e+02],\n", - " [1.55061508e+02, 8.42619019e+02, 2.66807526e+02, 1.02389813e+03],\n", - " [4.29574249e+02, 4.59882538e+02, 5.02255005e+02, 6.12850952e+02],\n", - " [9.97802124e+02, 3.78035507e+01, 1.03527588e+03, 1.43799332e+02],\n", - " [1.85506714e+03, 1.37298141e+02, 1.93123291e+03, 3.33916077e+02],\n", - " [3.34588684e+02, 4.75210815e+02, 3.96721161e+02, 6.14273071e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6323712 , 0.55543697, 0.7132824 , 0.82644033, 0.7289842 ,\n", - " 0.38725823, 0.6675888 , 0.7434623 , 0.6941419 , 0.67958814,\n", - " 0.49675065, 0.3744834 , 0.5258855 , 0.5802214 , 0.7497459 ,\n", - " 0.5244552 , 0.5168392 , 0.3766641 , 0.37681672, 0.7546504 ,\n", - " 0.31930512, 0.3565266 , 0.3912381 , 0.33672512], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 14, 45, 51, 53, 48, 57, 61, 35, 33, 66, 67, 13,\n", - " 46, 30, 65, 56, 68, 64, 29]), data={'frame_number': [238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238, 238]}),\n", - " Detections(xyxy=array([[ 1.06747046e+03, 1.34953003e+02, 1.12157410e+03,\n", - " 2.71217133e+02],\n", - " [ 6.88805847e+02, -9.50988531e-02, 7.28565491e+02,\n", - " 1.07872475e+02],\n", - " [ 1.20393616e+03, 5.87800659e+02, 1.27582532e+03,\n", - " 7.29251465e+02],\n", - " [ 9.35887634e+02, 8.83184448e+02, 1.03418079e+03,\n", - " 1.07875623e+03],\n", - " [ 1.48495813e+03, 5.79786682e+01, 1.53759814e+03,\n", - " 1.84169861e+02],\n", - " [ 1.02626880e+03, 2.45305328e+02, 1.06841687e+03,\n", - " 3.74148956e+02],\n", - " [ 1.23315723e+03, 2.24716721e+02, 1.29644006e+03,\n", - " 3.74643524e+02],\n", - " [ 6.97396606e+02, 3.21969696e+02, 7.65630737e+02,\n", - " 4.93241943e+02],\n", - " [ 9.08794739e+02, 3.25316528e+02, 9.66692932e+02,\n", - " 4.80945160e+02],\n", - " [ 6.42427429e+02, 2.31128712e+01, 6.84218384e+02,\n", - " 1.24806641e+02],\n", - " [ 2.00726471e+02, 1.06742188e+02, 2.69439423e+02,\n", - " 2.44613556e+02],\n", - " [ 1.38009363e+03, 2.10904999e+01, 1.41780164e+03,\n", - " 1.54993103e+02],\n", - " [ 1.00047504e+03, 6.82223206e+02, 1.08797754e+03,\n", - " 8.77957947e+02],\n", - " [ 7.41918579e+02, 7.58935791e+02, 8.33224304e+02,\n", - " 9.46950378e+02],\n", - " [ 9.35233643e+02, 2.84309540e+01, 9.87956482e+02,\n", - " 1.53325317e+02],\n", - " [ 1.76789600e+03, 3.73763977e+02, 1.85948645e+03,\n", - " 5.45537659e+02],\n", - " [ 3.83527527e+02, 4.77334045e+02, 4.63218994e+02,\n", - " 6.39829773e+02],\n", - " [ 4.63507721e+02, 8.11214294e+02, 5.53815918e+02,\n", - " 9.90432190e+02],\n", - " [ 1.58301483e+02, 8.45958313e+02, 2.68624115e+02,\n", - " 1.02487451e+03],\n", - " [ 9.97241760e+02, 3.76045532e+01, 1.03638904e+03,\n", - " 1.49163605e+02],\n", - " [ 1.84475854e+03, 1.26748985e+02, 1.92529565e+03,\n", - " 3.36667816e+02],\n", - " [ 3.34556519e+02, 4.75075989e+02, 3.97245056e+02,\n", - " 6.14076233e+02],\n", - " [ 4.14849358e+01, 1.26134544e+02, 9.89840622e+01,\n", - " 2.45240295e+02],\n", - " [ 1.23622998e+03, 2.54090176e+01, 1.28269165e+03,\n", - " 1.32438080e+02]], dtype=float32), mask=None, confidence=array([0.573234 , 0.47309497, 0.7074113 , 0.78983104, 0.6867545 ,\n", - " 0.63320696, 0.72406995, 0.64754164, 0.7475524 , 0.4879187 ,\n", - " 0.50971454, 0.50545466, 0.5233189 , 0.7305767 , 0.48609877,\n", - " 0.508272 , 0.3629648 , 0.3613893 , 0.39444286, 0.32173073,\n", - " 0.3788008 , 0.3277759 , 0.3300448 , 0.34629583], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 45, 51, 53, 48, 57, 61, 35, 33, 66, 67, 13, 46,\n", - " 30, 65, 68, 64, 29, 55, 40]), data={'frame_number': [239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239, 239]}),\n", - " Detections(xyxy=array([[1.06843298e+03, 1.33156754e+02, 1.12337585e+03, 2.71107849e+02],\n", - " [6.88589417e+02, 4.57730263e-01, 7.27186218e+02, 1.03841461e+02],\n", - " [1.20505615e+03, 5.91164001e+02, 1.27818726e+03, 7.35462585e+02],\n", - " [9.37595886e+02, 8.87434692e+02, 1.03443567e+03, 1.07905701e+03],\n", - " [1.48331091e+03, 5.55141907e+01, 1.53663293e+03, 1.83298645e+02],\n", - " [1.02636377e+03, 2.43645966e+02, 1.06922070e+03, 3.75094574e+02],\n", - " [1.23189783e+03, 2.20699860e+02, 1.29452551e+03, 3.69412323e+02],\n", - " [6.97901489e+02, 3.20452484e+02, 7.65763733e+02, 4.92357300e+02],\n", - " [9.09873352e+02, 3.26566132e+02, 9.66957458e+02, 4.79888550e+02],\n", - " [6.45782898e+02, 2.30802536e+01, 6.89036011e+02, 1.25640968e+02],\n", - " [2.00390320e+02, 1.07329063e+02, 2.69638733e+02, 2.46136703e+02],\n", - " [1.38019263e+03, 2.09993687e+01, 1.41779272e+03, 1.54334076e+02],\n", - " [1.00125201e+03, 6.85416565e+02, 1.08761914e+03, 8.77091492e+02],\n", - " [7.40005615e+02, 7.54763611e+02, 8.30898682e+02, 9.43651855e+02],\n", - " [9.35746765e+02, 3.05575695e+01, 9.88124878e+02, 1.54165543e+02],\n", - " [1.76522351e+03, 3.76625488e+02, 1.85793811e+03, 5.50285217e+02],\n", - " [3.83032593e+02, 4.77747253e+02, 4.62938507e+02, 6.39913635e+02],\n", - " [1.61105896e+02, 8.50331970e+02, 2.68773621e+02, 1.02373145e+03],\n", - " [9.96761719e+02, 3.75731468e+01, 1.03703845e+03, 1.53523880e+02],\n", - " [1.83998401e+03, 1.11481537e+02, 1.92603931e+03, 3.40209351e+02],\n", - " [3.34960693e+02, 4.74366455e+02, 3.98333954e+02, 6.14010925e+02],\n", - " [4.11601295e+01, 1.26709236e+02, 9.97434082e+01, 2.45028091e+02],\n", - " [1.23794971e+03, 2.41567955e+01, 1.28480481e+03, 1.30666962e+02],\n", - " [4.29325653e+02, 4.60738342e+02, 5.03287750e+02, 6.11383057e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.54795325, 0.4198137 , 0.71827894, 0.7880211 , 0.7129281 ,\n", - " 0.6339313 , 0.7543091 , 0.63484156, 0.7623744 , 0.54225534,\n", - " 0.5374402 , 0.4944291 , 0.5502043 , 0.66061103, 0.44163305,\n", - " 0.50289553, 0.3463341 , 0.35996127, 0.3229922 , 0.37048137,\n", - " 0.3162874 , 0.43156242, 0.3619718 , 0.31330353], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 5, 11, 19, 34, 45, 51, 53, 48, 57, 61, 35, 33, 66, 67, 13, 46,\n", - " 65, 68, 64, 29, 55, 40, 56]), data={'frame_number': [240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240, 240]}),\n", - " Detections(xyxy=array([[1.06922607e+03, 1.31216354e+02, 1.12425854e+03, 2.69148590e+02],\n", - " [6.88361572e+02, 6.83212042e-01, 7.26837036e+02, 1.02488487e+02],\n", - " [1.20563293e+03, 5.96256714e+02, 1.27949841e+03, 7.42280518e+02],\n", - " [9.38514038e+02, 8.91483948e+02, 1.03356812e+03, 1.07832849e+03],\n", - " [1.48176831e+03, 5.33315277e+01, 1.53530908e+03, 1.82377655e+02],\n", - " [1.02615332e+03, 2.42441238e+02, 1.06910522e+03, 3.74872681e+02],\n", - " [1.23097021e+03, 2.16639648e+02, 1.29360681e+03, 3.65547394e+02],\n", - " [6.97827881e+02, 3.18659943e+02, 7.64768005e+02, 4.89475311e+02],\n", - " [9.11019897e+02, 3.28268219e+02, 9.67603760e+02, 4.80044983e+02],\n", - " [6.48007507e+02, 2.30635681e+01, 6.92317261e+02, 1.24633049e+02],\n", - " [1.99594879e+02, 1.07508553e+02, 2.69072876e+02, 2.46651169e+02],\n", - " [1.38059399e+03, 2.09685593e+01, 1.41808423e+03, 1.54085403e+02],\n", - " [1.00057996e+03, 6.87776428e+02, 1.08701843e+03, 8.77309204e+02],\n", - " [7.37956665e+02, 7.51379028e+02, 8.28063721e+02, 9.39919434e+02],\n", - " [9.35592346e+02, 3.13032475e+01, 9.87851929e+02, 1.54434128e+02],\n", - " [1.76645178e+03, 3.80907959e+02, 1.85826782e+03, 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9.89003983e+01],\n", - " [3.84702423e+02, 4.75194519e+02, 4.58857544e+02, 6.32755066e+02],\n", - " [4.44727203e+02, 8.90036926e+02, 5.36086914e+02, 1.07106458e+03],\n", - " [2.11737183e+02, 9.38191467e+02, 3.10271362e+02, 1.08157654e+03],\n", - " [4.29139679e+02, 4.54865723e+02, 5.10934174e+02, 6.08143616e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.59356153, 0.70989674, 0.5611785 , 0.53811806, 0.7479859 ,\n", - " 0.6698096 , 0.7561289 , 0.62587833, 0.40151674, 0.48054916,\n", - " 0.77870846, 0.5193142 , 0.52666575, 0.36843246, 0.5662251 ,\n", - " 0.756761 , 0.44667834, 0.42549333, 0.41490847, 0.6531994 ,\n", - " 0.55216336, 0.34667736], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 13, 69, 11, 70,\n", - " 40, 46, 30, 65, 56]), data={'frame_number': [257, 257, 257, 257, 257, 257, 257, 257, 257, 257, 257, 257, 257, 257, 257, 257, 257, 257, 257, 257, 257, 257]}),\n", - " Detections(xyxy=array([[1.0676833e+03, 9.2764046e+01, 1.1188472e+03, 2.2477782e+02],\n", - " [9.7423907e+02, 9.8252783e+02, 1.0511830e+03, 1.0798164e+03],\n", - " [1.4712136e+03, 1.9744852e+01, 1.5194412e+03, 1.4437569e+02],\n", - " [1.0267078e+03, 1.9783568e+02, 1.0674497e+03, 3.2460538e+02],\n", - " [1.2393120e+03, 1.6721898e+02, 1.2983832e+03, 3.0628830e+02],\n", - " [7.0613330e+02, 2.6634607e+02, 7.7076801e+02, 4.3439581e+02],\n", - " [9.1635803e+02, 3.6998746e+02, 9.7823505e+02, 5.2901245e+02],\n", - " [1.9944006e+02, 1.2487619e+02, 2.6783789e+02, 2.6156424e+02],\n", - " [1.3835480e+03, 1.5242798e+01, 1.4212712e+03, 1.4828091e+02],\n", - " [9.9998682e+02, 7.5791199e+02, 1.0976427e+03, 9.7470447e+02],\n", - " [7.3550275e+02, 6.6943726e+02, 8.1431250e+02, 8.4590997e+02],\n", - " [9.3263300e+02, 3.8241516e+01, 9.8935284e+02, 1.7140628e+02],\n", - " [3.6662415e+01, 1.1995012e+02, 1.0505523e+02, 2.3870891e+02],\n", - " [1.3103888e+03, 9.4801752e+02, 1.4437888e+03, 1.0796180e+03],\n", - " [1.2143278e+03, 6.6136420e+02, 1.2965410e+03, 8.2094836e+02],\n", - " [1.8130533e+03, 8.3456848e+01, 1.9119348e+03, 2.5073933e+02],\n", - " [1.2623132e+03, 1.4401140e+00, 1.3071250e+03, 9.9056984e+01],\n", - " [3.8327161e+02, 4.7359836e+02, 4.5887390e+02, 6.3345947e+02],\n", - " [1.4954973e+03, 1.0192000e+03, 1.5899027e+03, 1.0800000e+03],\n", - " [4.4479648e+02, 8.9228723e+02, 5.3495862e+02, 1.0703469e+03],\n", - " [2.1486923e+02, 9.4348010e+02, 3.1251730e+02, 1.0813405e+03],\n", - " [4.2946637e+02, 4.5558636e+02, 5.1063297e+02, 6.0796680e+02],\n", - " [3.3628882e+02, 4.6715430e+02, 3.9880099e+02, 6.0722205e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6500685 , 0.7048876 , 0.5503858 , 0.62321764, 0.7121137 ,\n", - " 0.6635909 , 0.7737144 , 0.6057562 , 0.3939754 , 0.66745394,\n", - " 0.73119605, 0.5440264 , 0.5230416 , 0.5311722 , 0.7722702 ,\n", - " 0.35850275, 0.39130828, 0.46003637, 0.35393235, 0.69085926,\n", - " 0.69078207, 0.4303747 , 0.3127991 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40,\n", - " 46, 71, 30, 65, 56, 29]), data={'frame_number': [258, 258, 258, 258, 258, 258, 258, 258, 258, 258, 258, 258, 258, 258, 258, 258, 258, 258, 258, 258, 258, 258, 258]}),\n", - " Detections(xyxy=array([[1.06746423e+03, 8.95594025e+01, 1.11790125e+03, 2.20044495e+02],\n", - " [9.74731079e+02, 9.92137817e+02, 1.04824670e+03, 1.08003394e+03],\n", - " [1.46953601e+03, 1.66767483e+01, 1.51873425e+03, 1.42632919e+02],\n", - " [1.02863184e+03, 1.95087082e+02, 1.06801599e+03, 3.17203339e+02],\n", - " [1.23950745e+03, 1.66088913e+02, 1.29863538e+03, 3.05623962e+02],\n", - " [7.08159302e+02, 2.62495819e+02, 7.69867310e+02, 4.21106598e+02],\n", - " [9.18044861e+02, 3.74705688e+02, 9.79854919e+02, 5.33768677e+02],\n", - " [1.99972015e+02, 1.25265709e+02, 2.67881866e+02, 2.60893188e+02],\n", - " [1.38361560e+03, 1.49768028e+01, 1.42145020e+03, 1.47975403e+02],\n", - " [9.98886658e+02, 7.65801941e+02, 1.09790552e+03, 9.85945435e+02],\n", - " [7.37928528e+02, 6.61575623e+02, 8.13176392e+02, 8.29474182e+02],\n", - " [9.33218384e+02, 3.74919434e+01, 9.91431335e+02, 1.75401947e+02],\n", - " [3.79311028e+01, 1.19871574e+02, 1.05971275e+02, 2.37408875e+02],\n", - " [1.29812488e+03, 9.37863159e+02, 1.43983948e+03, 1.07919568e+03],\n", - " [1.21905945e+03, 6.65034241e+02, 1.29896643e+03, 8.20486267e+02],\n", - " [1.81031311e+03, 8.43421860e+01, 1.90871936e+03, 2.49815521e+02],\n", - " [1.26391614e+03, 8.18693101e-01, 1.30815637e+03, 9.78418732e+01],\n", - " [3.82884979e+02, 4.72355194e+02, 4.59357819e+02, 6.33736023e+02],\n", - " [1.49108752e+03, 1.01154730e+03, 1.59701343e+03, 1.08000000e+03],\n", - " [4.46023682e+02, 8.99681458e+02, 5.32718872e+02, 1.06937341e+03],\n", - " [2.21036423e+02, 9.51342346e+02, 3.16258850e+02, 1.08120410e+03],\n", - " [4.28822083e+02, 4.55843109e+02, 5.09953522e+02, 6.07908630e+02],\n", - " [3.36775574e+02, 4.65536926e+02, 3.98985199e+02, 6.06901733e+02],\n", - " [9.98804199e+02, 5.03618011e+01, 1.03805054e+03, 1.69799896e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.656626 , 0.66569394, 0.56869316, 0.57230204, 0.6969755 ,\n", - " 0.58944994, 0.8007474 , 0.588758 , 0.43147984, 0.54987335,\n", - " 0.7364131 , 0.58594334, 0.47066545, 0.60784775, 0.7685183 ,\n", - " 0.408943 , 0.3697848 , 0.4521356 , 0.62166864, 0.48544604,\n", - " 0.3974273 , 0.4147942 , 0.3334158 , 0.4063651 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40,\n", - " 46, 71, 30, 65, 56, 29, 68]), data={'frame_number': [259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259, 259]}),\n", - " Detections(xyxy=array([[1.06731165e+03, 8.77841644e+01, 1.11763867e+03, 2.18392044e+02],\n", - " [9.73385620e+02, 9.97999023e+02, 1.04571899e+03, 1.08008960e+03],\n", - " [1.46738159e+03, 1.42754278e+01, 1.51741614e+03, 1.41405380e+02],\n", - " [1.02970667e+03, 1.93508347e+02, 1.06856470e+03, 3.13218018e+02],\n", - " [1.23936108e+03, 1.64446808e+02, 1.29892322e+03, 3.05495972e+02],\n", - " [7.07873291e+02, 2.58487640e+02, 7.69181519e+02, 4.14671997e+02],\n", - " [9.18748169e+02, 3.78390625e+02, 9.81021729e+02, 5.38781372e+02],\n", - " [1.99921158e+02, 1.26038109e+02, 2.67477173e+02, 2.60595032e+02],\n", - " [1.38360144e+03, 1.48883591e+01, 1.42154309e+03, 1.47873672e+02],\n", - " [9.99792603e+02, 7.74588257e+02, 1.09923792e+03, 9.95976746e+02],\n", - " [7.38638306e+02, 6.56853271e+02, 8.12971985e+02, 8.22279053e+02],\n", - " [9.33472412e+02, 3.84937859e+01, 9.92190002e+02, 1.78837646e+02],\n", - " [3.85959091e+01, 1.19855042e+02, 1.06786995e+02, 2.36942184e+02],\n", - " [1.29026648e+03, 9.29591614e+02, 1.43662524e+03, 1.07774524e+03],\n", - " [1.22155151e+03, 6.67588196e+02, 1.29979541e+03, 8.20108643e+02],\n", - " [1.80606909e+03, 8.06018829e+01, 1.90683508e+03, 2.48863266e+02],\n", - " [1.26481274e+03, 1.29525697e+00, 1.30879651e+03, 9.74514465e+01],\n", - " [3.82967560e+02, 4.71903015e+02, 4.59947968e+02, 6.33849854e+02],\n", - " [1.48631201e+03, 1.00229089e+03, 1.60564844e+03, 1.08000000e+03],\n", - " [4.46475525e+02, 9.03553040e+02, 5.31287964e+02, 1.06815112e+03],\n", - " [2.24733994e+02, 9.57406921e+02, 3.18566101e+02, 1.08102698e+03],\n", - " [4.29676147e+02, 4.55940399e+02, 5.11249542e+02, 6.09882324e+02],\n", - " [3.37012573e+02, 4.64349518e+02, 3.98965240e+02, 6.06789917e+02],\n", - " [9.99384521e+02, 5.03470840e+01, 1.03836145e+03, 1.69389587e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6338749 , 0.65666306, 0.62720007, 0.6575247 , 0.66830325,\n", - " 0.5370532 , 0.80095696, 0.59613836, 0.4528516 , 0.62860847,\n", - " 0.7220361 , 0.6232077 , 0.47209972, 0.671443 , 0.7234286 ,\n", - " 0.5118659 , 0.35620642, 0.39456713, 0.63981223, 0.3976459 ,\n", - " 0.5013293 , 0.34884116, 0.32318377, 0.41961348], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40,\n", - " 46, 71, 30, 65, 56, 29, 68]), data={'frame_number': [260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260, 260]}),\n", - " Detections(xyxy=array([[1.06730188e+03, 8.65393677e+01, 1.11751282e+03, 2.17215820e+02],\n", - " [9.75046448e+02, 1.00611285e+03, 1.04417310e+03, 1.08009558e+03],\n", - " [1.46566907e+03, 1.27809801e+01, 1.51591089e+03, 1.39710052e+02],\n", - " [1.03040869e+03, 1.92356964e+02, 1.06912292e+03, 3.11224731e+02],\n", - " [1.23906531e+03, 1.63265106e+02, 1.29858875e+03, 3.04893860e+02],\n", - " [7.08892151e+02, 2.57119110e+02, 7.69772461e+02, 4.10424469e+02],\n", - " [9.19442627e+02, 3.81007690e+02, 9.82298157e+02, 5.43209167e+02],\n", - " [1.99848297e+02, 1.25632553e+02, 2.67366425e+02, 2.59786652e+02],\n", - " [1.38355981e+03, 1.48665199e+01, 1.42160083e+03, 1.47848404e+02],\n", - " [9.99560303e+02, 7.78470886e+02, 1.10031860e+03, 1.00352423e+03],\n", - " [7.38510193e+02, 6.53300964e+02, 8.13965210e+02, 8.20584412e+02],\n", - " [9.34083557e+02, 3.95294609e+01, 9.92606689e+02, 1.80774292e+02],\n", - " [3.81588211e+01, 1.19859993e+02, 1.06438393e+02, 2.36789551e+02],\n", - " [1.28474194e+03, 9.24586487e+02, 1.43370142e+03, 1.07845520e+03],\n", - " [1.22382190e+03, 6.70394226e+02, 1.30068262e+03, 8.20486877e+02],\n", - " [1.80166162e+03, 8.14307785e+01, 1.90169495e+03, 2.47204529e+02],\n", - " [1.26531311e+03, 1.51089239e+00, 1.30942432e+03, 9.80352478e+01],\n", - " [3.83973236e+02, 4.70440002e+02, 4.61151764e+02, 6.32584412e+02],\n", - " [1.48078650e+03, 9.94928650e+02, 1.60984302e+03, 1.08000000e+03],\n", - " [4.45934204e+02, 9.06790894e+02, 5.30854919e+02, 1.07029163e+03],\n", - " [2.27834824e+02, 9.62099121e+02, 3.20741913e+02, 1.08017358e+03],\n", - " [4.27662506e+02, 4.55318909e+02, 5.10114380e+02, 6.10626892e+02],\n", - " [9.99700806e+02, 5.10119400e+01, 1.03833997e+03, 1.69256851e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6073205 , 0.61939675, 0.64517796, 0.632316 , 0.6412202 ,\n", - " 0.6515849 , 0.78365886, 0.5749546 , 0.4464464 , 0.68697715,\n", - " 0.7480303 , 0.63028663, 0.4327485 , 0.63970494, 0.7549076 ,\n", - " 0.56536925, 0.3389578 , 0.36042157, 0.6357104 , 0.4770651 ,\n", - " 0.45291907, 0.3643993 , 0.48316294], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40,\n", - " 46, 71, 30, 65, 56, 68]), data={'frame_number': [261, 261, 261, 261, 261, 261, 261, 261, 261, 261, 261, 261, 261, 261, 261, 261, 261, 261, 261, 261, 261, 261, 261]}),\n", - " Detections(xyxy=array([[1.06761145e+03, 8.54917145e+01, 1.11783557e+03, 2.16879471e+02],\n", - " [9.76591064e+02, 1.01063068e+03, 1.04408630e+03, 1.07935071e+03],\n", - " [1.46328149e+03, 1.16317778e+01, 1.51385291e+03, 1.38498795e+02],\n", - " [1.03062024e+03, 1.90684540e+02, 1.06936169e+03, 3.09954407e+02],\n", - " [1.23861365e+03, 1.60938370e+02, 1.29811755e+03, 3.03451630e+02],\n", - " [7.09241150e+02, 2.55398666e+02, 7.70652649e+02, 4.08311523e+02],\n", - " [9.20416321e+02, 3.82562805e+02, 9.82675415e+02, 5.43470764e+02],\n", - " [1.99535812e+02, 1.26774948e+02, 2.66939056e+02, 2.60119537e+02],\n", - " [1.38375342e+03, 1.55298719e+01, 1.42140112e+03, 1.46528854e+02],\n", - " [1.00138855e+03, 7.83051941e+02, 1.10139380e+03, 1.00619501e+03],\n", - " [7.37289490e+02, 6.49494263e+02, 8.14175720e+02, 8.20169678e+02],\n", - " [9.34586975e+02, 3.99237747e+01, 9.92483582e+02, 1.80814346e+02],\n", - " [3.78416634e+01, 1.19871948e+02, 1.06447083e+02, 2.36753616e+02],\n", - " [1.28128809e+03, 9.18972290e+02, 1.43294629e+03, 1.07938843e+03],\n", - " [1.22492700e+03, 6.73298767e+02, 1.30266870e+03, 8.25172668e+02],\n", - " [1.79781458e+03, 7.70820847e+01, 1.90088647e+03, 2.47342850e+02],\n", - " [1.26590942e+03, 1.61742222e+00, 1.31048413e+03, 9.82984772e+01],\n", - " [1.47501807e+03, 9.87039429e+02, 1.61365234e+03, 1.08000000e+03],\n", - " [4.44592407e+02, 9.09814026e+02, 5.31219727e+02, 1.07567651e+03],\n", - " [2.29149719e+02, 9.65604370e+02, 3.22364960e+02, 1.08048535e+03],\n", - " [4.24165253e+02, 4.54425659e+02, 5.07802338e+02, 6.10250122e+02],\n", - " [9.99737732e+02, 5.25628357e+01, 1.03839929e+03, 1.71187454e+02],\n", - " [1.77598254e+03, 4.22710999e+02, 1.86513977e+03, 5.88201660e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6022713 , 0.63298166, 0.6622954 , 0.6226001 , 0.65495485,\n", - " 0.70834774, 0.7184764 , 0.58452594, 0.4505329 , 0.6342945 ,\n", - " 0.7838589 , 0.62456596, 0.42593575, 0.72487533, 0.76215535,\n", - " 0.6221279 , 0.3469644 , 0.70428765, 0.5316926 , 0.60827196,\n", - " 0.35561448, 0.4332108 , 0.40926704], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40,\n", - " 71, 30, 65, 56, 68, 13]), data={'frame_number': [262, 262, 262, 262, 262, 262, 262, 262, 262, 262, 262, 262, 262, 262, 262, 262, 262, 262, 262, 262, 262, 262, 262]}),\n", - " Detections(xyxy=array([[1.06738098e+03, 8.38497620e+01, 1.11831909e+03, 2.17507553e+02],\n", - " [9.77551514e+02, 1.01542505e+03, 1.04283179e+03, 1.07837854e+03],\n", - " [1.46166882e+03, 1.12712774e+01, 1.51255627e+03, 1.38127197e+02],\n", - " [1.03062097e+03, 1.88816391e+02, 1.06951245e+03, 3.09605743e+02],\n", - " [1.23766614e+03, 1.58172363e+02, 1.29738159e+03, 3.01680267e+02],\n", - " [7.08178162e+02, 2.52204041e+02, 7.70805115e+02, 4.06321136e+02],\n", - " [9.19686096e+02, 3.83044586e+02, 9.83856628e+02, 5.50045837e+02],\n", - " [1.98765625e+02, 1.27176750e+02, 2.66760529e+02, 2.61549164e+02],\n", - " [1.38397827e+03, 1.51265249e+01, 1.42182617e+03, 1.46042419e+02],\n", - " [1.00332874e+03, 7.87903625e+02, 1.10120593e+03, 1.00562781e+03],\n", - " [7.36726013e+02, 6.47575806e+02, 8.14365540e+02, 8.20217529e+02],\n", - " [9.36020264e+02, 4.26830940e+01, 9.92485352e+02, 1.80769424e+02],\n", - " [3.82839699e+01, 1.19885437e+02, 1.07204903e+02, 2.36759705e+02],\n", - " [1.27756348e+03, 9.13113770e+02, 1.43090466e+03, 1.07976282e+03],\n", - " [1.22561914e+03, 6.78233459e+02, 1.30503186e+03, 8.34086182e+02],\n", - " [1.79712756e+03, 7.55737762e+01, 1.90005273e+03, 2.44754150e+02],\n", - " [1.26797510e+03, 1.68222916e+00, 1.31226526e+03, 9.64480209e+01],\n", - " [1.47290637e+03, 9.80925537e+02, 1.61686096e+03, 1.07935815e+03],\n", - " [4.44036285e+02, 9.12769836e+02, 5.30795593e+02, 1.07756531e+03],\n", - " [2.31445938e+02, 9.70087524e+02, 3.24293610e+02, 1.08053735e+03],\n", - " [4.23297089e+02, 4.54089508e+02, 5.07128235e+02, 6.08785583e+02],\n", - " [9.99291382e+02, 5.44410210e+01, 1.03820679e+03, 1.73881714e+02],\n", - " [1.77629443e+03, 4.25438507e+02, 1.86504736e+03, 5.90500244e+02],\n", - " [3.85456360e+02, 4.71386993e+02, 4.61441498e+02, 6.31186279e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.59498477, 0.64324206, 0.60325 , 0.56284267, 0.6214044 ,\n", - " 0.7485064 , 0.75623095, 0.61786765, 0.46834263, 0.5961898 ,\n", - " 0.79561746, 0.61599994, 0.4136135 , 0.78141624, 0.77987266,\n", - " 0.54733837, 0.37330148, 0.6762105 , 0.62547606, 0.6783749 ,\n", - " 0.40927315, 0.48223194, 0.39904445, 0.4264254 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 19, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40,\n", - " 71, 30, 65, 56, 68, 13, 46]), data={'frame_number': [263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263, 263]}),\n", - " Detections(xyxy=array([[1.0669751e+03, 8.2639694e+01, 1.1181730e+03, 2.1650189e+02],\n", - " [1.4600206e+03, 9.2164116e+00, 1.5105565e+03, 1.3475476e+02],\n", - " [1.0304266e+03, 1.8753584e+02, 1.0697489e+03, 3.1090811e+02],\n", - " [1.2378455e+03, 1.5458226e+02, 1.2965537e+03, 2.9517395e+02],\n", - " [7.0735553e+02, 2.4978598e+02, 7.7059143e+02, 4.0503204e+02],\n", - " [9.2205194e+02, 3.8706940e+02, 9.8487598e+02, 5.5112921e+02],\n", - " [1.9741489e+02, 1.2862196e+02, 2.6643405e+02, 2.6470514e+02],\n", - " [1.3840782e+03, 1.4981857e+01, 1.4219587e+03, 1.4521277e+02],\n", - " [1.0152491e+03, 7.9286157e+02, 1.1084585e+03, 1.0031468e+03],\n", - " [7.3597064e+02, 6.4307037e+02, 8.1564716e+02, 8.2044336e+02],\n", - " [9.3681940e+02, 4.6369572e+01, 9.9155353e+02, 1.8069122e+02],\n", - " [3.8075306e+01, 1.1989845e+02, 1.0719413e+02, 2.3677950e+02],\n", - " [1.2726549e+03, 9.0524866e+02, 1.4281407e+03, 1.0799131e+03],\n", - " [1.2269655e+03, 6.8522467e+02, 1.3073815e+03, 8.4388824e+02],\n", - " [1.7945941e+03, 7.4450218e+01, 1.8948870e+03, 2.3912689e+02],\n", - " [1.2695564e+03, 1.0634029e+00, 1.3133639e+03, 9.4456787e+01],\n", - " [1.4661533e+03, 9.6787250e+02, 1.6246683e+03, 1.0790962e+03],\n", - " [4.4454779e+02, 9.2436780e+02, 5.2730225e+02, 1.0788113e+03],\n", - " [2.3467744e+02, 9.7491949e+02, 3.2643741e+02, 1.0798014e+03],\n", - " [4.2148947e+02, 4.5396866e+02, 5.0639578e+02, 6.0888953e+02],\n", - " [1.0006381e+03, 5.9080421e+01, 1.0392496e+03, 1.7817712e+02],\n", - " [1.7770834e+03, 4.2836935e+02, 1.8662854e+03, 5.9454742e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.594234 , 0.63206905, 0.5081186 , 0.61250275, 0.77493936,\n", - " 0.72962576, 0.5284016 , 0.52952856, 0.588273 , 0.7957634 ,\n", - " 0.6056542 , 0.38057965, 0.683905 , 0.8032929 , 0.45480415,\n", - " 0.40521175, 0.7677698 , 0.58624357, 0.5371833 , 0.3254926 ,\n", - " 0.432975 , 0.40385568], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 30, 65, 56, 68, 13]), data={'frame_number': [264, 264, 264, 264, 264, 264, 264, 264, 264, 264, 264, 264, 264, 264, 264, 264, 264, 264, 264, 264, 264, 264]}),\n", - " Detections(xyxy=array([[1.06677771e+03, 8.15965576e+01, 1.11817090e+03, 2.15539093e+02],\n", - " [1.45906348e+03, 9.83949566e+00, 1.50891443e+03, 1.33562958e+02],\n", - " [1.03055444e+03, 1.85811981e+02, 1.07028198e+03, 3.11488922e+02],\n", - " [1.23923499e+03, 1.51997345e+02, 1.29624097e+03, 2.87479889e+02],\n", - " [7.05438232e+02, 2.48319931e+02, 7.68786194e+02, 4.05324615e+02],\n", - " [9.23394592e+02, 3.89845917e+02, 9.85445740e+02, 5.52048706e+02],\n", - " [1.96483459e+02, 1.30457352e+02, 2.66734619e+02, 2.68502808e+02],\n", - " [1.38404773e+03, 1.49345837e+01, 1.42206458e+03, 1.44917282e+02],\n", - " [1.01224762e+03, 7.95854736e+02, 1.10458923e+03, 1.00263367e+03],\n", - " [7.35054321e+02, 6.38891541e+02, 8.16113403e+02, 8.20018494e+02],\n", - " [9.37067444e+02, 4.84027939e+01, 9.91230347e+02, 1.81273514e+02],\n", - " [3.71078682e+01, 1.19248260e+02, 1.06743423e+02, 2.36802429e+02],\n", - " [1.26667676e+03, 9.00399963e+02, 1.42186829e+03, 1.07997278e+03],\n", - " [1.22750464e+03, 6.92347412e+02, 1.30816370e+03, 8.52730469e+02],\n", - " [1.79355225e+03, 7.27909851e+01, 1.89260461e+03, 2.35056046e+02],\n", - " [1.27245239e+03, 8.53792012e-01, 1.31537634e+03, 9.17544327e+01],\n", - " [1.46262622e+03, 9.59077332e+02, 1.62860376e+03, 1.07899341e+03],\n", - " [4.44955933e+02, 9.31903992e+02, 5.25162292e+02, 1.07841992e+03],\n", - " [1.00091724e+03, 6.07984428e+01, 1.03986511e+03, 1.81757721e+02],\n", - " [1.77669385e+03, 4.30729065e+02, 1.86741479e+03, 6.00549561e+02],\n", - " [1.85630542e+03, 2.26077042e+02, 1.91870264e+03, 3.59067902e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.561467 , 0.6140905 , 0.48532918, 0.6961057 , 0.7513498 ,\n", - " 0.72833586, 0.49374482, 0.5445559 , 0.65931165, 0.7728902 ,\n", - " 0.6063183 , 0.37001908, 0.5490976 , 0.7985259 , 0.54942364,\n", - " 0.40415132, 0.6649176 , 0.466001 , 0.48131764, 0.42106226,\n", - " 0.30334574], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 30, 68, 13, 24]), data={'frame_number': [265, 265, 265, 265, 265, 265, 265, 265, 265, 265, 265, 265, 265, 265, 265, 265, 265, 265, 265, 265, 265]}),\n", - " Detections(xyxy=array([[1.06676050e+03, 8.06114044e+01, 1.11812415e+03, 2.14585419e+02],\n", - " [1.45733020e+03, 8.80701065e+00, 1.50778296e+03, 1.34534668e+02],\n", - " [1.03097852e+03, 1.82607773e+02, 1.07140857e+03, 3.11136169e+02],\n", - " [1.23918689e+03, 1.48461853e+02, 1.29669092e+03, 2.84054047e+02],\n", - " [7.03339844e+02, 2.47207336e+02, 7.66826904e+02, 4.05539368e+02],\n", - " [9.24279968e+02, 3.92781738e+02, 9.85880432e+02, 5.53606384e+02],\n", - " [1.96067337e+02, 1.31781235e+02, 2.67575012e+02, 2.71877991e+02],\n", - " [1.38389136e+03, 1.49234467e+01, 1.42223816e+03, 1.45486786e+02],\n", - " [1.00976410e+03, 8.00125854e+02, 1.10110474e+03, 1.00160760e+03],\n", - " [7.35163635e+02, 6.36143433e+02, 8.16489990e+02, 8.18698669e+02],\n", - " [9.37778259e+02, 5.04551926e+01, 9.91137817e+02, 1.80786087e+02],\n", - " [3.75343018e+01, 1.19670509e+02, 1.07096893e+02, 2.36823914e+02],\n", - " [1.26162317e+03, 8.95494202e+02, 1.41600256e+03, 1.07935974e+03],\n", - " [1.22749707e+03, 6.96231201e+02, 1.30988940e+03, 8.61839050e+02],\n", - " [1.79232239e+03, 7.36132736e+01, 1.89012488e+03, 2.32965759e+02],\n", - " [1.27285388e+03, 7.98533678e-01, 1.31533679e+03, 9.01303635e+01],\n", - " [1.46077844e+03, 9.51320496e+02, 1.63121045e+03, 1.07833594e+03],\n", - " [4.45055908e+02, 9.37113342e+02, 5.24509399e+02, 1.07885107e+03],\n", - " [1.00183777e+03, 6.13991661e+01, 1.04123682e+03, 1.84374878e+02],\n", - " [1.77605347e+03, 4.32870209e+02, 1.86895801e+03, 6.07929688e+02],\n", - " [1.89868005e+03, 9.14000015e+01, 1.91871997e+03, 2.00000000e+02],\n", - " [1.85769189e+03, 2.24866547e+02, 1.91935449e+03, 3.56519623e+02],\n", - " [3.36932861e+02, 4.60077209e+02, 3.98206390e+02, 6.03977722e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.48579478, 0.6135526 , 0.46147096, 0.73105574, 0.74052584,\n", - " 0.7638415 , 0.55134666, 0.5293545 , 0.6193658 , 0.75846505,\n", - " 0.5650714 , 0.329123 , 0.69375646, 0.77996945, 0.5506144 ,\n", - " 0.4097421 , 0.7024852 , 0.5962242 , 0.46180457, 0.4160754 ,\n", - " 0.427426 , 0.36653772, 0.3023041 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 30, 68, 13, 72, 24, 29]), data={'frame_number': [266, 266, 266, 266, 266, 266, 266, 266, 266, 266, 266, 266, 266, 266, 266, 266, 266, 266, 266, 266, 266, 266, 266]}),\n", - " Detections(xyxy=array([[1.06690881e+03, 7.96445618e+01, 1.11730200e+03, 2.11649979e+02],\n", - " [1.45684009e+03, 8.46643829e+00, 1.50663196e+03, 1.32969086e+02],\n", - " [1.03081995e+03, 1.80151627e+02, 1.07149036e+03, 3.10415436e+02],\n", - " [1.23841943e+03, 1.44590347e+02, 1.29693494e+03, 2.81573517e+02],\n", - " [7.02271606e+02, 2.46883224e+02, 7.65695129e+02, 4.05716797e+02],\n", - " [9.24713196e+02, 3.95776062e+02, 9.85218201e+02, 5.53424866e+02],\n", - " [1.94829971e+02, 1.33562439e+02, 2.67018677e+02, 2.74427917e+02],\n", - " [1.38323987e+03, 1.49250107e+01, 1.42222534e+03, 1.47037857e+02],\n", - " [1.01151868e+03, 8.04204102e+02, 1.10174573e+03, 1.00171368e+03],\n", - " [7.34841797e+02, 6.31983032e+02, 8.17004883e+02, 8.17029053e+02],\n", - " [9.37976135e+02, 5.25179901e+01, 9.91152710e+02, 1.81892960e+02],\n", - " [3.81966972e+01, 1.20500854e+02, 1.07388802e+02, 2.36844879e+02],\n", - " [1.25173389e+03, 8.91197021e+02, 1.40595215e+03, 1.07911597e+03],\n", - " [1.22849744e+03, 7.01476929e+02, 1.31076965e+03, 8.68394287e+02],\n", - " [1.78788025e+03, 8.68077393e+01, 1.87588647e+03, 2.30265518e+02],\n", - " [1.27437830e+03, 7.96392262e-01, 1.31652759e+03, 8.82430801e+01],\n", - " [1.45791296e+03, 9.45876587e+02, 1.63126038e+03, 1.07930811e+03],\n", - " [4.43456055e+02, 9.42169739e+02, 5.21860718e+02, 1.07891516e+03],\n", - " [1.00175140e+03, 6.28905716e+01, 1.04086340e+03, 1.85318085e+02],\n", - " [1.77515320e+03, 4.36219696e+02, 1.86953101e+03, 6.15180237e+02],\n", - " [1.89783105e+03, 8.80666351e+01, 1.91850830e+03, 2.00000000e+02],\n", - " [2.48409332e+02, 9.90229187e+02, 3.33057251e+02, 1.08079480e+03],\n", - " [4.20660370e+02, 4.54771393e+02, 5.06856049e+02, 6.10617126e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.52199686, 0.5954606 , 0.50877506, 0.7154899 , 0.7226255 ,\n", - " 0.7720399 , 0.56743443, 0.5371745 , 0.6319424 , 0.7536819 ,\n", - " 0.6384783 , 0.32851228, 0.69869524, 0.74709195, 0.47010213,\n", - " 0.446789 , 0.725534 , 0.5505225 , 0.49257272, 0.48367926,\n", - " 0.3545099 , 0.48212385, 0.30851802], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 30, 68, 13, 72, 65, 56]), data={'frame_number': [267, 267, 267, 267, 267, 267, 267, 267, 267, 267, 267, 267, 267, 267, 267, 267, 267, 267, 267, 267, 267, 267, 267]}),\n", - " Detections(xyxy=array([[1.06732349e+03, 7.73563538e+01, 1.11730823e+03, 2.07953064e+02],\n", - " [1.45609058e+03, 8.39830589e+00, 1.50554773e+03, 1.32446060e+02],\n", - " [1.03117322e+03, 1.79944550e+02, 1.07108887e+03, 3.07591583e+02],\n", - " [1.23875195e+03, 1.43240204e+02, 1.29706274e+03, 2.78777893e+02],\n", - " [7.02000305e+02, 2.46195770e+02, 7.65803345e+02, 4.06530090e+02],\n", - " [9.24144836e+02, 3.98126404e+02, 9.84298828e+02, 5.54577881e+02],\n", - " [1.93496445e+02, 1.36175247e+02, 2.65705139e+02, 2.76658722e+02],\n", - " [1.38285767e+03, 1.49305363e+01, 1.42234961e+03, 1.48290115e+02],\n", - " [1.01174982e+03, 8.08884705e+02, 1.10101831e+03, 1.00160956e+03],\n", - " [7.34393738e+02, 6.29235962e+02, 8.16222290e+02, 8.13898254e+02],\n", - " [9.36989441e+02, 5.25766640e+01, 9.90869446e+02, 1.82936478e+02],\n", - " [3.79596405e+01, 1.20818871e+02, 1.07315781e+02, 2.37527191e+02],\n", - " [1.24680811e+03, 8.87137756e+02, 1.40078320e+03, 1.07966003e+03],\n", - " [1.22984082e+03, 7.05949036e+02, 1.31136462e+03, 8.72674072e+02],\n", - " [1.78064526e+03, 9.54100723e+01, 1.86174841e+03, 2.28712189e+02],\n", - " [1.27505872e+03, 1.48760235e+00, 1.31741382e+03, 8.76073914e+01],\n", - " [1.45715637e+03, 9.42637878e+02, 1.62958875e+03, 1.07971350e+03],\n", - " [1.00097266e+03, 6.47263718e+01, 1.03945667e+03, 1.85613220e+02],\n", - " [1.77665601e+03, 4.41333710e+02, 1.86980835e+03, 6.19153015e+02],\n", - " [1.89600134e+03, 8.46177063e+01, 1.91768726e+03, 2.01518814e+02],\n", - " [4.20300598e+02, 4.54924530e+02, 5.07310547e+02, 6.11583435e+02],\n", - " [7.34842224e+02, 1.90118771e+01, 7.83047729e+02, 1.19042480e+02],\n", - " [3.35694977e+02, 4.61355164e+02, 3.96962311e+02, 6.07735779e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.55224025, 0.57862186, 0.5112997 , 0.6989189 , 0.7303462 ,\n", - " 0.8087418 , 0.543022 , 0.5118436 , 0.6346611 , 0.808681 ,\n", - " 0.6744582 , 0.38329026, 0.6714647 , 0.73054814, 0.45825365,\n", - " 0.40153965, 0.7617889 , 0.52164525, 0.36182618, 0.34195495,\n", - " 0.3545795 , 0.37295163, 0.30125746], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 13, 72, 56, 57, 29]), data={'frame_number': [268, 268, 268, 268, 268, 268, 268, 268, 268, 268, 268, 268, 268, 268, 268, 268, 268, 268, 268, 268, 268, 268, 268]}),\n", - " Detections(xyxy=array([[1.06716357e+03, 7.39029846e+01, 1.11697180e+03, 2.03982880e+02],\n", - " [1.45475427e+03, 7.75578880e+00, 1.50297546e+03, 1.28328827e+02],\n", - " [1.03230200e+03, 1.77320953e+02, 1.07124451e+03, 3.01287384e+02],\n", - " [1.23926770e+03, 1.42188797e+02, 1.29738269e+03, 2.76530945e+02],\n", - " [7.01237610e+02, 2.43385437e+02, 7.65866211e+02, 4.06906738e+02],\n", - " [9.23235718e+02, 4.02230316e+02, 9.84606384e+02, 5.61574707e+02],\n", - " [1.92293625e+02, 1.41080124e+02, 2.63938385e+02, 2.80079987e+02],\n", - " [1.38238000e+03, 1.55951052e+01, 1.42206665e+03, 1.48768799e+02],\n", - " [1.00717590e+03, 8.17160034e+02, 1.10131970e+03, 1.01828101e+03],\n", - " [7.34389954e+02, 6.24409851e+02, 8.14442810e+02, 8.04290588e+02],\n", - " [9.35075073e+02, 5.32200317e+01, 9.90973694e+02, 1.87926407e+02],\n", - " [3.69957085e+01, 1.20938965e+02, 1.07494682e+02, 2.39774185e+02],\n", - " [1.24131458e+03, 8.81888000e+02, 1.39498816e+03, 1.07987598e+03],\n", - " [1.23146252e+03, 7.11426941e+02, 1.31170642e+03, 8.76064697e+02],\n", - " [1.77044702e+03, 9.69481964e+01, 1.85018005e+03, 2.26875244e+02],\n", - " [1.27612061e+03, 1.75475597e+00, 1.31817224e+03, 8.54110031e+01],\n", - " [1.45588147e+03, 9.35305664e+02, 1.63110388e+03, 1.07988269e+03],\n", - " [1.00153125e+03, 6.86812897e+01, 1.03871045e+03, 1.85663986e+02],\n", - " [1.77673254e+03, 4.45853882e+02, 1.86973828e+03, 6.24438293e+02],\n", - " [4.21009613e+02, 4.55638397e+02, 5.07960388e+02, 6.11915771e+02],\n", - " [7.35973022e+02, 2.11070347e+01, 7.84676575e+02, 1.19628113e+02],\n", - " [3.81199066e+02, 4.75533997e+02, 4.55835144e+02, 6.32703186e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5995379 , 0.6052242 , 0.51325035, 0.71923965, 0.7696123 ,\n", - " 0.8050829 , 0.48659885, 0.5274425 , 0.5854768 , 0.8433387 ,\n", - " 0.618561 , 0.52488714, 0.59040976, 0.75502634, 0.5400282 ,\n", - " 0.37015447, 0.74595666, 0.5096142 , 0.3244558 , 0.41625142,\n", - " 0.4404205 , 0.35864896], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 13, 56, 57, 46]), data={'frame_number': [269, 269, 269, 269, 269, 269, 269, 269, 269, 269, 269, 269, 269, 269, 269, 269, 269, 269, 269, 269, 269, 269]}),\n", - " Detections(xyxy=array([[1.06719543e+03, 7.20134583e+01, 1.11676343e+03, 2.01913925e+02],\n", - " [1.45292786e+03, 4.21490335e+00, 1.50210461e+03, 1.26847649e+02],\n", - " [1.03276318e+03, 1.75753830e+02, 1.07124878e+03, 2.97662109e+02],\n", - " [1.23823901e+03, 1.41234390e+02, 1.29738562e+03, 2.77148499e+02],\n", - " [7.01342346e+02, 2.41081192e+02, 7.66166199e+02, 4.06450348e+02],\n", - " [9.22280701e+02, 4.05651611e+02, 9.85965942e+02, 5.70688538e+02],\n", - " [1.90763138e+02, 1.42890213e+02, 2.62383484e+02, 2.81310028e+02],\n", - " [1.38221570e+03, 1.65121975e+01, 1.42193774e+03, 1.48949432e+02],\n", - " [1.00301794e+03, 8.22691589e+02, 1.10326746e+03, 1.03605908e+03],\n", - " [7.34689392e+02, 6.20760986e+02, 8.12806946e+02, 7.94795471e+02],\n", - " [9.33292603e+02, 5.34310303e+01, 9.90765625e+02, 1.91726883e+02],\n", - " [3.75819817e+01, 1.21640541e+02, 1.07922127e+02, 2.40620575e+02],\n", - " [1.23601062e+03, 8.78081055e+02, 1.38853210e+03, 1.07996106e+03],\n", - " [1.23214502e+03, 7.16634399e+02, 1.31101868e+03, 8.78454285e+02],\n", - " [1.75937109e+03, 9.74268494e+01, 1.83890417e+03, 2.25626312e+02],\n", - " [1.27621228e+03, 1.86406744e+00, 1.31863989e+03, 8.46638870e+01],\n", - " [1.45745923e+03, 9.31285889e+02, 1.63086426e+03, 1.07995105e+03],\n", - " [1.00119012e+03, 6.87681808e+01, 1.03896753e+03, 1.86959625e+02],\n", - " [4.21404724e+02, 4.55905762e+02, 5.08097809e+02, 6.11373840e+02],\n", - " [7.36328918e+02, 2.04079113e+01, 7.85929077e+02, 1.19808205e+02],\n", - " [1.82538660e+03, 8.90000000e+01, 1.88341333e+03, 2.24800003e+02],\n", - " [3.82383881e+02, 4.76596252e+02, 4.57260620e+02, 6.34281799e+02],\n", - " [1.85545581e+03, 1.93846527e+02, 1.92960364e+03, 3.65212982e+02],\n", - " [1.89002490e+03, 7.42915573e+01, 1.91504834e+03, 2.06982544e+02],\n", - " [3.37377502e+02, 4.63317932e+02, 3.97798706e+02, 6.08666565e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5827124 , 0.61410105, 0.47023875, 0.71658707, 0.7760179 ,\n", - " 0.8036885 , 0.48919547, 0.5066134 , 0.71529126, 0.8176074 ,\n", - " 0.63838905, 0.48638168, 0.59500325, 0.76375604, 0.559356 ,\n", - " 0.38852355, 0.8033459 , 0.52539223, 0.43245426, 0.40786314,\n", - " 0.40606177, 0.38374144, 0.37409353, 0.3668267 , 0.34347442],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 56, 57, 74, 46, 24, 72, 29]), data={'frame_number': [270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270, 270]}),\n", - " Detections(xyxy=array([[1.0674718e+03, 7.0712921e+01, 1.1164307e+03, 1.9923376e+02],\n", - " [1.4521812e+03, 2.2914054e+00, 1.5012740e+03, 1.2503137e+02],\n", - " [1.0332329e+03, 1.7458307e+02, 1.0709332e+03, 2.9307123e+02],\n", - " [1.2378501e+03, 1.4029744e+02, 1.2973878e+03, 2.7681229e+02],\n", - " [7.0152386e+02, 2.3766180e+02, 7.6615930e+02, 4.0436850e+02],\n", - " [9.2242432e+02, 4.0816605e+02, 9.8855609e+02, 5.7991144e+02],\n", - " [1.8926588e+02, 1.4417250e+02, 2.6209305e+02, 2.8501050e+02],\n", - " [1.3819182e+03, 1.6198221e+01, 1.4221244e+03, 1.4967584e+02],\n", - " [1.0003121e+03, 8.2854102e+02, 1.1044827e+03, 1.0497946e+03],\n", - " [7.3573090e+02, 6.1689752e+02, 8.1128131e+02, 7.8405237e+02],\n", - " [9.3254138e+02, 5.6082962e+01, 9.9010120e+02, 1.9443886e+02],\n", - " [3.7869892e+01, 1.2190785e+02, 1.0801862e+02, 2.4093883e+02],\n", - " [1.2315298e+03, 8.7420844e+02, 1.3829868e+03, 1.0799940e+03],\n", - " [1.2312664e+03, 7.1908051e+02, 1.3098151e+03, 8.7914545e+02],\n", - " [1.7540610e+03, 9.7539780e+01, 1.8353597e+03, 2.2663864e+02],\n", - " [1.2758314e+03, 1.9098766e+00, 1.3191394e+03, 8.5119270e+01],\n", - " [1.4594524e+03, 9.2738654e+02, 1.6306680e+03, 1.0799796e+03],\n", - " [1.0007133e+03, 6.9418549e+01, 1.0387461e+03, 1.8740034e+02],\n", - " [4.2189929e+02, 4.5600327e+02, 5.0848224e+02, 6.1116254e+02],\n", - " [1.8240060e+03, 8.6714554e+01, 1.8834227e+03, 2.2571417e+02],\n", - " [3.8091586e+02, 4.7627927e+02, 4.5625226e+02, 6.3545929e+02],\n", - " [1.8580645e+03, 1.9464037e+02, 1.9283627e+03, 3.6616586e+02],\n", - " [1.8885420e+03, 6.9907883e+01, 1.9149620e+03, 2.0781651e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5936679 , 0.6292448 , 0.50321406, 0.6808814 , 0.75965166,\n", - " 0.83788425, 0.45932114, 0.5004358 , 0.7318639 , 0.76200515,\n", - " 0.67063355, 0.4091294 , 0.73998934, 0.74436736, 0.6107525 ,\n", - " 0.40179175, 0.73850507, 0.55487645, 0.3481061 , 0.3818239 ,\n", - " 0.33574808, 0.41190904, 0.35393482], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 56, 74, 46, 24, 72]), data={'frame_number': [271, 271, 271, 271, 271, 271, 271, 271, 271, 271, 271, 271, 271, 271, 271, 271, 271, 271, 271, 271, 271, 271, 271]}),\n", - " Detections(xyxy=array([[1.06682532e+03, 6.96357803e+01, 1.11573511e+03, 1.98318329e+02],\n", - " [1.45132019e+03, 9.56350446e-01, 1.50032092e+03, 1.23753174e+02],\n", - " [1.03331860e+03, 1.74235565e+02, 1.07088330e+03, 2.91469147e+02],\n", - " [1.23783167e+03, 1.38710587e+02, 1.29857886e+03, 2.78108948e+02],\n", - " [7.01528809e+02, 2.35780640e+02, 7.65581787e+02, 4.02314697e+02],\n", - " [9.22615845e+02, 4.12926270e+02, 9.89388245e+02, 5.86579956e+02],\n", - " [1.87849045e+02, 1.45915527e+02, 2.60906281e+02, 2.86997131e+02],\n", - " [1.38176123e+03, 1.60782547e+01, 1.42224072e+03, 1.49944733e+02],\n", - " [9.98963318e+02, 8.34519775e+02, 1.10460266e+03, 1.05817432e+03],\n", - " [7.35734619e+02, 6.12951172e+02, 8.10444153e+02, 7.76908813e+02],\n", - " [9.32266846e+02, 5.83815727e+01, 9.89837219e+02, 1.96072540e+02],\n", - " [3.77530022e+01, 1.22005531e+02, 1.07614807e+02, 2.41051590e+02],\n", - " [1.23041541e+03, 8.70302002e+02, 1.37989465e+03, 1.07872327e+03],\n", - " [1.23131934e+03, 7.22478516e+02, 1.30890906e+03, 8.79221130e+02],\n", - " [1.74941174e+03, 1.00244911e+02, 1.82982007e+03, 2.27067566e+02],\n", - " [1.27473389e+03, 1.26261020e+00, 1.31953979e+03, 8.66691284e+01],\n", - " [1.46094690e+03, 9.22884033e+02, 1.63051721e+03, 1.07999121e+03],\n", - " [1.00100366e+03, 7.09305496e+01, 1.03818420e+03, 1.86192001e+02],\n", - " [4.21764099e+02, 4.56697479e+02, 5.08959625e+02, 6.13063660e+02],\n", - " [1.81634009e+03, 6.91095581e+01, 1.88373560e+03, 2.27559128e+02],\n", - " [1.85934106e+03, 1.96445999e+02, 1.92689172e+03, 3.67773804e+02],\n", - " [1.88593530e+03, 6.70430298e+01, 1.91442017e+03, 2.12094696e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.61279607, 0.6596072 , 0.5611257 , 0.6656492 , 0.7464026 ,\n", - " 0.83177394, 0.4110296 , 0.5115249 , 0.6830344 , 0.7111063 ,\n", - " 0.6696274 , 0.40521038, 0.76748586, 0.6456484 , 0.41170692,\n", - " 0.39669636, 0.8064032 , 0.48632464, 0.30705103, 0.34878898,\n", - " 0.4262171 , 0.36007833], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 56, 74, 24, 72]), data={'frame_number': [272, 272, 272, 272, 272, 272, 272, 272, 272, 272, 272, 272, 272, 272, 272, 272, 272, 272, 272, 272, 272, 272]}),\n", - " Detections(xyxy=array([[1.06595227e+03, 6.92981415e+01, 1.11479089e+03, 1.98057144e+02],\n", - " [1.45041003e+03, 5.08563101e-01, 1.49932056e+03, 1.23339722e+02],\n", - " [1.03250964e+03, 1.72168167e+02, 1.07035120e+03, 2.90308411e+02],\n", - " [1.23883154e+03, 1.38837891e+02, 1.29932983e+03, 2.78013000e+02],\n", - " [7.02929016e+02, 2.35808884e+02, 7.65948303e+02, 4.00930054e+02],\n", - " [9.22063660e+02, 4.17274384e+02, 9.88994080e+02, 5.90968628e+02],\n", - " [1.85750656e+02, 1.47175980e+02, 2.59423645e+02, 2.88992767e+02],\n", - " [1.38149182e+03, 1.60316467e+01, 1.42249622e+03, 1.51358521e+02],\n", - " [9.99186157e+02, 8.40549194e+02, 1.10520947e+03, 1.06376624e+03],\n", - " [7.34639343e+02, 6.09645264e+02, 8.09907654e+02, 7.73831726e+02],\n", - " [9.29793213e+02, 5.92121773e+01, 9.88825317e+02, 2.00577347e+02],\n", - " [3.76183853e+01, 1.22038361e+02, 1.07545822e+02, 2.41746094e+02],\n", - " [1.23127563e+03, 8.65736694e+02, 1.37519922e+03, 1.07178650e+03],\n", - " [1.22995325e+03, 7.26237915e+02, 1.30922058e+03, 8.85064453e+02],\n", - " [1.74635291e+03, 9.98266754e+01, 1.82765637e+03, 2.27979111e+02],\n", - " [1.27410046e+03, 1.02737284e+00, 1.31986096e+03, 8.72741013e+01],\n", - " [1.46138879e+03, 9.16863831e+02, 1.62870386e+03, 1.07810083e+03],\n", - " [1.00081195e+03, 7.21065063e+01, 1.03760010e+03, 1.85682983e+02],\n", - " [4.22042603e+02, 4.57613312e+02, 5.08816132e+02, 6.13115051e+02],\n", - " [1.86097034e+03, 2.01128540e+02, 1.92575781e+03, 3.69649841e+02],\n", - " [1.88482068e+03, 6.53903351e+01, 1.91441528e+03, 2.13052963e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.60620785, 0.70062923, 0.55525285, 0.67810965, 0.71595883,\n", - " 0.81824124, 0.5514551 , 0.5470002 , 0.7464544 , 0.74798167,\n", - " 0.66350776, 0.50121295, 0.7706332 , 0.6614053 , 0.49103594,\n", - " 0.41766378, 0.72147036, 0.463733 , 0.40795264, 0.4133658 ,\n", - " 0.35807264], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 56, 24, 72]), data={'frame_number': [273, 273, 273, 273, 273, 273, 273, 273, 273, 273, 273, 273, 273, 273, 273, 273, 273, 273, 273, 273, 273]}),\n", - " Detections(xyxy=array([[1.0640464e+03, 6.8573486e+01, 1.1127157e+03, 1.9737610e+02],\n", - " [1.4483240e+03, 3.9329597e-01, 1.4974709e+03, 1.2391039e+02],\n", - " [1.0324891e+03, 1.7079868e+02, 1.0705288e+03, 2.8929990e+02],\n", - " [1.2398553e+03, 1.3501779e+02, 1.3002894e+03, 2.7542200e+02],\n", - " [7.0446399e+02, 2.3326970e+02, 7.6509979e+02, 3.9254559e+02],\n", - " [9.2191150e+02, 4.2275729e+02, 9.8874139e+02, 5.9575983e+02],\n", - " [1.8380208e+02, 1.4891063e+02, 2.5743430e+02, 2.8967642e+02],\n", - " [1.3811736e+03, 1.6670469e+01, 1.4221536e+03, 1.5188570e+02],\n", - " [9.9828107e+02, 8.4855695e+02, 1.1051368e+03, 1.0734962e+03],\n", - " [7.3320850e+02, 6.0523218e+02, 8.1009149e+02, 7.7222107e+02],\n", - " [9.2907843e+02, 6.0794147e+01, 9.8889618e+02, 2.0352139e+02],\n", - " [3.7466145e+01, 1.2204696e+02, 1.0695879e+02, 2.4200050e+02],\n", - " [1.2253219e+03, 8.6351276e+02, 1.3560090e+03, 1.0540963e+03],\n", - " [1.2292626e+03, 7.3542285e+02, 1.3127869e+03, 9.0162384e+02],\n", - " [1.7438735e+03, 9.7620140e+01, 1.8266041e+03, 2.2901790e+02],\n", - " [1.2737017e+03, 1.6066574e+00, 1.3194176e+03, 8.6874756e+01],\n", - " [1.4594761e+03, 9.0769696e+02, 1.6294178e+03, 1.0779783e+03],\n", - " [9.9995105e+02, 7.5162460e+01, 1.0381722e+03, 1.9214792e+02],\n", - " [4.2229358e+02, 4.5861560e+02, 5.0862210e+02, 6.1312329e+02],\n", - " [1.8827579e+03, 6.2257538e+01, 1.9115847e+03, 1.9901605e+02],\n", - " [1.8495553e+03, 1.2596436e+02, 1.9332557e+03, 3.7466638e+02],\n", - " [1.7756484e+03, 4.6111328e+02, 1.8662271e+03, 6.3478961e+02],\n", - " [1.8061147e+03, 6.0596386e+01, 1.8770508e+03, 2.2920764e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6168896 , 0.7402652 , 0.59532887, 0.6874802 , 0.6769689 ,\n", - " 0.8349881 , 0.5516057 , 0.55325276, 0.5872038 , 0.8346382 ,\n", - " 0.7028722 , 0.5255255 , 0.50123286, 0.71328855, 0.6048154 ,\n", - " 0.45420098, 0.70059013, 0.49092275, 0.35524458, 0.34304756,\n", - " 0.4902734 , 0.35082287, 0.33653522], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 69, 11, 70, 40, 71,\n", - " 68, 56, 72, 64, 13, 74]), data={'frame_number': [274, 274, 274, 274, 274, 274, 274, 274, 274, 274, 274, 274, 274, 274, 274, 274, 274, 274, 274, 274, 274, 274, 274]}),\n", - " Detections(xyxy=array([[1.06330701e+03, 6.90226364e+01, 1.11131812e+03, 1.97192261e+02],\n", - " [1.44770398e+03, 3.96160156e-01, 1.49669885e+03, 1.23519463e+02],\n", - " [1.03254688e+03, 1.70353363e+02, 1.07052258e+03, 2.89014099e+02],\n", - " [1.24105322e+03, 1.31670303e+02, 1.30114185e+03, 2.72534424e+02],\n", - " [7.06253967e+02, 2.29059570e+02, 7.65584473e+02, 3.85421509e+02],\n", - " [9.20929993e+02, 4.25385498e+02, 9.88223389e+02, 5.99391907e+02],\n", - " [1.82441116e+02, 1.50166885e+02, 2.56701019e+02, 2.91176483e+02],\n", - " [1.38077063e+03, 1.69134541e+01, 1.42164709e+03, 1.52074173e+02],\n", - " [9.97656738e+02, 8.53382324e+02, 1.10408911e+03, 1.07761511e+03],\n", - " [7.32612732e+02, 6.02401367e+02, 8.10908203e+02, 7.71791870e+02],\n", - " [9.29024414e+02, 6.59327545e+01, 9.87421692e+02, 2.04576035e+02],\n", - " [3.75612984e+01, 1.22046478e+02, 1.06580742e+02, 2.42087204e+02],\n", - " [1.22748511e+03, 7.41358765e+02, 1.31431714e+03, 9.13566772e+02],\n", - " [1.74222937e+03, 9.61106949e+01, 1.82463074e+03, 2.27439835e+02],\n", - " [1.27364124e+03, 1.83448374e+00, 1.31909924e+03, 8.60864868e+01],\n", - " [1.45940002e+03, 9.01079529e+02, 1.63026831e+03, 1.07918921e+03],\n", - " [9.99451538e+02, 7.62489014e+01, 1.03856714e+03, 1.95154037e+02],\n", - " [1.85179407e+03, 1.22616386e+02, 1.93150659e+03, 3.76633759e+02],\n", - " [1.77576965e+03, 4.63443787e+02, 1.86551550e+03, 6.35080017e+02],\n", - " [1.80482031e+03, 8.82529144e+01, 1.86254651e+03, 2.26247986e+02],\n", - " [7.52324341e+02, 2.27813892e+01, 7.99581238e+02, 1.22718346e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6012377 , 0.7175323 , 0.56050754, 0.6838207 , 0.66969484,\n", - " 0.86023325, 0.5470509 , 0.53890985, 0.5726536 , 0.81974506,\n", - " 0.6595551 , 0.49807966, 0.5116393 , 0.61254394, 0.41623726,\n", - " 0.67046076, 0.53231615, 0.45410416, 0.36624825, 0.46482566,\n", - " 0.35652786], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 11, 70, 40, 71, 68,\n", - " 64, 13, 74, 57]), data={'frame_number': [275, 275, 275, 275, 275, 275, 275, 275, 275, 275, 275, 275, 275, 275, 275, 275, 275, 275, 275, 275, 275]}),\n", - " Detections(xyxy=array([[1.0624312e+03, 6.7922615e+01, 1.1114264e+03, 1.9918324e+02],\n", - " [1.4462896e+03, 4.4383511e-01, 1.4950411e+03, 1.2342445e+02],\n", - " [1.0325013e+03, 1.6958900e+02, 1.0705802e+03, 2.8899228e+02],\n", - " [1.2420048e+03, 1.2981944e+02, 1.3009493e+03, 2.6887595e+02],\n", - " [7.0602301e+02, 2.2624884e+02, 7.6465094e+02, 3.8087640e+02],\n", - " [9.2128448e+02, 4.2757727e+02, 9.8858923e+02, 6.0192920e+02],\n", - " [1.8114813e+02, 1.5190228e+02, 2.5463326e+02, 2.9101575e+02],\n", - " [1.3806447e+03, 1.7661909e+01, 1.4214333e+03, 1.5279250e+02],\n", - " [9.9973926e+02, 8.6091968e+02, 1.1040026e+03, 1.0795674e+03],\n", - " [7.3189948e+02, 6.0016187e+02, 8.1107123e+02, 7.7114496e+02],\n", - " [9.2919653e+02, 6.9183968e+01, 9.8669348e+02, 2.0487579e+02],\n", - " [3.7669453e+01, 1.2204295e+02, 1.0636597e+02, 2.4276988e+02],\n", - " [1.2115624e+03, 7.4672998e+02, 1.3268635e+03, 9.8080585e+02],\n", - " [1.7413871e+03, 9.5509865e+01, 1.8225404e+03, 2.2620847e+02],\n", - " [1.2726965e+03, 1.2565905e+00, 1.3185264e+03, 8.5817039e+01],\n", - " [1.4601230e+03, 8.9484589e+02, 1.6304797e+03, 1.0796831e+03],\n", - " [1.0005909e+03, 8.1201408e+01, 1.0393610e+03, 1.9821799e+02],\n", - " [1.8523999e+03, 1.0971912e+02, 1.9317175e+03, 3.7927811e+02],\n", - " [1.7763134e+03, 4.6623032e+02, 1.8654506e+03, 6.3586493e+02],\n", - " [1.8022328e+03, 6.9284012e+01, 1.8660278e+03, 2.2319675e+02],\n", - " [7.5603149e+02, 2.2302526e+01, 8.0119214e+02, 1.2023111e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.5913143 , 0.69669276, 0.5543372 , 0.6674589 , 0.74032956,\n", - " 0.862952 , 0.5137191 , 0.5480367 , 0.6730273 , 0.79952884,\n", - " 0.6888976 , 0.42532456, 0.6588578 , 0.64953256, 0.40516818,\n", - " 0.70578146, 0.48899305, 0.4476323 , 0.3136117 , 0.43872297,\n", - " 0.37178493], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 11, 70, 40, 71, 68,\n", - " 64, 13, 74, 57]), data={'frame_number': [276, 276, 276, 276, 276, 276, 276, 276, 276, 276, 276, 276, 276, 276, 276, 276, 276, 276, 276, 276, 276]}),\n", - " Detections(xyxy=array([[1.06210461e+03, 6.82044830e+01, 1.11084045e+03, 1.98654449e+02],\n", - " [1.44492371e+03, 5.00370145e-01, 1.49335864e+03, 1.22772423e+02],\n", - " [1.03157776e+03, 1.68036469e+02, 1.07017957e+03, 2.89055786e+02],\n", - " [1.24331140e+03, 1.29209763e+02, 1.30056506e+03, 2.64919128e+02],\n", - " [7.05288025e+02, 2.24627762e+02, 7.63613342e+02, 3.77963928e+02],\n", - " [9.22214783e+02, 4.29602264e+02, 9.89228271e+02, 6.03391479e+02],\n", - " [1.79679260e+02, 1.52494370e+02, 2.53579697e+02, 2.92204742e+02],\n", - " [1.38070776e+03, 1.79408855e+01, 1.42124902e+03, 1.52392120e+02],\n", - " [9.99341736e+02, 8.65540405e+02, 1.10252710e+03, 1.08132812e+03],\n", - " [7.31752014e+02, 5.98141724e+02, 8.11692749e+02, 7.70401306e+02],\n", - " [9.29671082e+02, 7.29958878e+01, 9.86041504e+02, 2.04909241e+02],\n", - " [3.77421227e+01, 1.22038811e+02, 1.06254448e+02, 2.43677155e+02],\n", - " [1.20306970e+03, 7.52441223e+02, 1.33069287e+03, 1.01707477e+03],\n", - " [1.74846021e+03, 9.39358215e+01, 1.83139929e+03, 2.25114792e+02],\n", - " [1.27267456e+03, 1.04503393e+00, 1.31795642e+03, 8.44119034e+01],\n", - " [1.45952441e+03, 8.88137756e+02, 1.62955432e+03, 1.07988342e+03],\n", - " [1.00134064e+03, 8.30297470e+01, 1.04002051e+03, 1.99318909e+02],\n", - " [1.80031970e+03, 6.06240234e+01, 1.86586487e+03, 2.18872208e+02],\n", - " [7.59371033e+02, 2.14690971e+01, 8.04296692e+02, 1.20066849e+02],\n", - " [3.34491150e+02, 4.59234070e+02, 3.96761505e+02, 6.10864746e+02],\n", - " [1.85078198e+03, 1.45417038e+02, 1.93526208e+03, 3.81444336e+02],\n", - " [1.87632861e+03, 5.60193748e+01, 1.90716162e+03, 1.90712723e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.545438 , 0.7233019 , 0.6332621 , 0.65217423, 0.7285168 ,\n", - " 0.8654313 , 0.56504595, 0.5626934 , 0.60898846, 0.83482444,\n", - " 0.66174453, 0.47210482, 0.7381563 , 0.6265988 , 0.39590555,\n", - " 0.6914238 , 0.4619347 , 0.31536505, 0.39023143, 0.30893487,\n", - " 0.41405872, 0.39382446], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 11, 70, 40, 71, 68,\n", - " 74, 57, 29, 24, 72]), data={'frame_number': [277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277, 277]}),\n", - " Detections(xyxy=array([[ 1.06111890e+03, 6.63844986e+01, 1.11019946e+03,\n", - " 1.97843719e+02],\n", - " [ 1.44357861e+03, -1.05241820e-01, 1.49232874e+03,\n", - " 1.23233032e+02],\n", - " [ 1.03038660e+03, 1.66186935e+02, 1.06955164e+03,\n", - " 2.89139954e+02],\n", - " [ 1.24450549e+03, 1.28406952e+02, 1.30035583e+03,\n", - " 2.60855164e+02],\n", - " [ 7.07056763e+02, 2.22115662e+02, 7.65186890e+02,\n", - " 3.74995880e+02],\n", - " [ 9.23147949e+02, 4.30907959e+02, 9.90189148e+02,\n", - " 6.04446655e+02],\n", - " [ 1.78776672e+02, 1.53984131e+02, 2.52288071e+02,\n", - " 2.92595398e+02],\n", - " [ 1.38074792e+03, 1.80398712e+01, 1.42117102e+03,\n", - " 1.52226822e+02],\n", - " [ 1.00010132e+03, 8.69047119e+02, 1.10240247e+03,\n", - " 1.08175439e+03],\n", - " [ 7.31491882e+02, 5.96196289e+02, 8.12154358e+02,\n", - " 7.70261963e+02],\n", - " [ 9.29342773e+02, 7.63493500e+01, 9.84996094e+02,\n", - " 2.04843033e+02],\n", - " [ 3.78377113e+01, 1.22692131e+02, 1.05488380e+02,\n", - " 2.44010162e+02],\n", - " [ 1.20270752e+03, 7.57168091e+02, 1.33190076e+03,\n", - " 1.03169214e+03],\n", - " [ 1.74392139e+03, 9.46696472e+01, 1.82421045e+03,\n", - " 2.22747238e+02],\n", - " [ 1.27210889e+03, 3.03704232e-01, 1.31693701e+03,\n", - " 8.25747604e+01],\n", - " [ 1.46071387e+03, 8.81869202e+02, 1.62837646e+03,\n", - " 1.07807007e+03],\n", - " [ 1.00157916e+03, 8.36430435e+01, 1.04030212e+03,\n", - " 2.00993408e+02],\n", - " [ 1.79900208e+03, 6.00272217e+01, 1.86468555e+03,\n", - " 2.18009384e+02],\n", - " [ 7.63415344e+02, 2.11627235e+01, 8.09736023e+02,\n", - " 1.21334229e+02],\n", - " [ 1.81079016e+03, 5.72000008e+01, 1.86140979e+03,\n", - " 1.82199997e+02],\n", - " [ 3.36219788e+02, 4.61005646e+02, 3.98168579e+02,\n", - " 6.11693848e+02],\n", - " [ 1.87479419e+03, 5.20057602e+01, 1.90744922e+03,\n", - " 1.84694168e+02],\n", - " [ 1.77742395e+03, 4.70474518e+02, 1.86533301e+03,\n", - " 6.36288330e+02]], dtype=float32), mask=None, confidence=array([0.61862415, 0.7103209 , 0.45512682, 0.6782291 , 0.75205845,\n", - " 0.8527799 , 0.52466965, 0.55507207, 0.64479387, 0.8363645 ,\n", - " 0.6455274 , 0.40812957, 0.6758946 , 0.6454968 , 0.33935732,\n", - " 0.7922429 , 0.42024162, 0.3506587 , 0.36289766, 0.39705908,\n", - " 0.32405937, 0.39587703, 0.40633357], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 11, 70, 40, 71, 68,\n", - " 74, 57, 77, 29, 72, 13]), data={'frame_number': [278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278, 278]}),\n", - " Detections(xyxy=array([[ 1.06018726e+03, 6.31036835e+01, 1.10989624e+03,\n", - " 1.96259888e+02],\n", - " [ 1.44133130e+03, -3.04619908e-01, 1.48915649e+03,\n", - " 1.20801003e+02],\n", - " [ 1.02986047e+03, 1.62913940e+02, 1.06938977e+03,\n", - " 2.87257660e+02],\n", - " [ 1.24519934e+03, 1.24841232e+02, 1.30066821e+03,\n", - " 2.56763977e+02],\n", - " [ 7.07500977e+02, 2.18604446e+02, 7.65991211e+02,\n", - " 3.72672546e+02],\n", - " [ 9.23723694e+02, 4.35241577e+02, 9.89648071e+02,\n", - " 6.05362610e+02],\n", - " [ 1.77047806e+02, 1.55150513e+02, 2.50620544e+02,\n", - " 2.94005188e+02],\n", - " [ 1.38163611e+03, 1.74094696e+01, 1.42225916e+03,\n", - " 1.52154480e+02],\n", - " [ 1.00077557e+03, 8.74130859e+02, 1.10131433e+03,\n", - " 1.08168286e+03],\n", - " [ 7.31698975e+02, 5.92297607e+02, 8.13354858e+02,\n", - " 7.69017456e+02],\n", - " [ 9.29269836e+02, 7.68320007e+01, 9.85261963e+02,\n", - " 2.05422928e+02],\n", - " [ 3.78979378e+01, 1.22938087e+02, 1.05174965e+02,\n", - " 2.44782349e+02],\n", - " [ 1.20497913e+03, 7.63909912e+02, 1.33122107e+03,\n", - " 1.03727588e+03],\n", - " [ 1.73996960e+03, 9.36015091e+01, 1.81663013e+03,\n", - " 2.17874756e+02],\n", - " [ 1.27339648e+03, 7.01633751e-01, 1.31771277e+03,\n", - " 8.12515182e+01],\n", - " [ 1.46520581e+03, 8.73874878e+02, 1.63086536e+03,\n", - " 1.07607300e+03],\n", - " [ 1.00305963e+03, 8.71089935e+01, 1.04098511e+03,\n", - " 2.02223434e+02],\n", - " [ 1.79685376e+03, 6.79790344e+01, 1.85809692e+03,\n", - " 2.14472778e+02],\n", - " [ 7.68651245e+02, 2.17064934e+01, 8.16422668e+02,\n", - " 1.23128227e+02],\n", - " [ 1.80704785e+03, 5.55221024e+01, 1.85889819e+03,\n", - " 1.83572830e+02],\n", - " [ 3.35458374e+02, 4.60953796e+02, 3.98023651e+02,\n", - " 6.13960999e+02],\n", - " [ 1.87418640e+03, 5.20249748e+01, 1.90765857e+03,\n", - " 1.78666473e+02],\n", - " [ 1.77635022e+03, 4.75066833e+02, 1.86730432e+03,\n", - " 6.45687500e+02],\n", - " [ 3.77340332e+02, 4.76083618e+02, 4.50921997e+02,\n", - " 6.32229309e+02],\n", - " [ 4.23250153e+02, 4.61831207e+02, 5.07703369e+02,\n", - " 6.12213989e+02]], dtype=float32), mask=None, confidence=array([0.66344666, 0.6182524 , 0.34489775, 0.57876813, 0.6705546 ,\n", - " 0.8307687 , 0.6647757 , 0.5552029 , 0.72763926, 0.82462025,\n", - " 0.6628996 , 0.48239446, 0.6952637 , 0.618901 , 0.30103698,\n", - " 0.8325238 , 0.4867306 , 0.35204905, 0.35332483, 0.38750052,\n", - " 0.3626157 , 0.41023046, 0.7739199 , 0.35327512, 0.3511922 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 11, 70, 40, 71, 68,\n", - " 74, 57, 77, 29, 72, 13, 46, 56]), data={'frame_number': [279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279, 279]}),\n", - " Detections(xyxy=array([[ 1.05919922e+03, 6.05913277e+01, 1.10914185e+03,\n", - " 1.94385849e+02],\n", - " [ 1.44018079e+03, -3.44047189e-01, 1.48769641e+03,\n", - " 1.19250648e+02],\n", - " [ 1.03060913e+03, 1.61723892e+02, 1.06969885e+03,\n", - " 2.84624176e+02],\n", - " [ 1.24531018e+03, 1.20262856e+02, 1.30156848e+03,\n", - " 2.54014374e+02],\n", - " [ 7.07953247e+02, 2.16715012e+02, 7.66657654e+02,\n", - " 3.71910400e+02],\n", - " [ 9.24525330e+02, 4.39418427e+02, 9.88826294e+02,\n", - " 6.04889526e+02],\n", - " [ 1.76455414e+02, 1.56857635e+02, 2.50015854e+02,\n", - " 2.95804810e+02],\n", - " [ 1.38196460e+03, 1.71667347e+01, 1.42267920e+03,\n", - " 1.52119217e+02],\n", - " [ 1.00405786e+03, 8.79147156e+02, 1.10190308e+03,\n", - " 1.07941882e+03],\n", - " [ 7.32742615e+02, 5.88968384e+02, 8.13513184e+02,\n", - " 7.64065918e+02],\n", - " [ 9.29931396e+02, 7.76055222e+01, 9.86027893e+02,\n", - " 2.06255386e+02],\n", - " [ 3.81019630e+01, 1.23026299e+02, 1.04879509e+02,\n", - " 2.45060867e+02],\n", - " [ 1.21063452e+03, 7.67729004e+02, 1.33126685e+03,\n", - " 1.03453076e+03],\n", - " [ 1.73677112e+03, 9.18517075e+01, 1.81247107e+03,\n", - " 2.16796127e+02],\n", - " [ 1.46792969e+03, 8.66465637e+02, 1.63153308e+03,\n", - " 1.07528687e+03],\n", - " [ 1.00353644e+03, 8.83471069e+01, 1.04131726e+03,\n", - " 2.03280075e+02],\n", - " [ 7.71910645e+02, 2.25715733e+01, 8.20742737e+02,\n", - " 1.23804871e+02],\n", - " [ 1.80216870e+03, 5.72359314e+01, 1.85550378e+03,\n", - " 1.88632782e+02],\n", - " [ 1.77497656e+03, 4.77957977e+02, 1.86898682e+03,\n", - " 6.54187012e+02],\n", - " [-9.95419249e-02, 2.75000000e+02, 3.20995407e+01,\n", - " 4.02799988e+02],\n", - " [ 4.23743103e+02, 4.63475616e+02, 5.06532043e+02,\n", - " 6.09299744e+02]], dtype=float32), mask=None, confidence=array([0.6447871 , 0.6118816 , 0.40237883, 0.61119515, 0.6827208 ,\n", - " 0.81303334, 0.66892684, 0.5472741 , 0.729815 , 0.7717483 ,\n", - " 0.6811501 , 0.4966082 , 0.34999484, 0.6326914 , 0.8236673 ,\n", - " 0.48007566, 0.35447332, 0.46096772, 0.6245624 , 0.39891937,\n", - " 0.30063438], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 11, 70, 71, 68, 57,\n", - " 77, 13, 78, 56]), data={'frame_number': [280, 280, 280, 280, 280, 280, 280, 280, 280, 280, 280, 280, 280, 280, 280, 280, 280, 280, 280, 280, 280]}),\n", - " Detections(xyxy=array([[ 1.05878430e+03, 5.90300713e+01, 1.10827747e+03,\n", - " 1.91085800e+02],\n", - " [ 1.44023352e+03, -3.31053853e-01, 1.48611548e+03,\n", - " 1.14050728e+02],\n", - " [ 1.03164954e+03, 1.59360062e+02, 1.07039734e+03,\n", - " 2.81034515e+02],\n", - " [ 1.24584961e+03, 1.18630936e+02, 1.30204041e+03,\n", - " 2.51759308e+02],\n", - " [ 7.10241211e+02, 2.16095001e+02, 7.67420959e+02,\n", - " 3.67104279e+02],\n", - " [ 9.25147156e+02, 4.44195618e+02, 9.87498901e+02,\n", - " 6.03902039e+02],\n", - " [ 1.75329391e+02, 1.58768799e+02, 2.49452789e+02,\n", - " 2.99073303e+02],\n", - " [ 1.38130884e+03, 1.77319031e+01, 1.42163586e+03,\n", - " 1.51438614e+02],\n", - " [ 1.00678986e+03, 8.83464172e+02, 1.10331848e+03,\n", - " 1.07971411e+03],\n", - " [ 7.32396240e+02, 5.84538391e+02, 8.13009033e+02,\n", - " 7.59653809e+02],\n", - " [ 9.30288330e+02, 7.98140411e+01, 9.86227966e+02,\n", - " 2.07845062e+02],\n", - " [ 3.84985123e+01, 1.23054489e+02, 1.04453110e+02,\n", - " 2.44492584e+02],\n", - " [ 1.73388464e+03, 8.72179794e+01, 1.81089099e+03,\n", - " 2.16448669e+02],\n", - " [ 1.47026367e+03, 8.61194519e+02, 1.63115576e+03,\n", - " 1.07561853e+03],\n", - " [ 1.00306177e+03, 8.87404327e+01, 1.04074731e+03,\n", - " 2.03616837e+02],\n", - " [ 7.74069641e+02, 2.22391834e+01, 8.23826904e+02,\n", - " 1.23389816e+02],\n", - " [ 1.80206506e+03, 5.78434181e+01, 1.85380957e+03,\n", - " 1.85110565e+02],\n", - " [ 1.77476562e+03, 4.79618011e+02, 1.87061169e+03,\n", - " 6.59912476e+02],\n", - " [-2.10941970e-01, 2.75000000e+02, 3.22109413e+01,\n", - " 4.03723053e+02],\n", - " [ 4.23689178e+02, 4.63338409e+02, 5.07713257e+02,\n", - " 6.11044189e+02],\n", - " [ 3.34755066e+02, 4.60220337e+02, 3.97550232e+02,\n", - " 6.14127808e+02],\n", - " [ 3.74056061e+02, 4.78408875e+02, 4.47273285e+02,\n", - " 6.35983826e+02]], dtype=float32), mask=None, confidence=array([0.6603224 , 0.60075486, 0.35301816, 0.593342 , 0.6781705 ,\n", - " 0.82081693, 0.691399 , 0.55918545, 0.6837019 , 0.8432243 ,\n", - " 0.6689421 , 0.5058117 , 0.6505852 , 0.82463634, 0.4897075 ,\n", - " 0.39415085, 0.51078165, 0.43012527, 0.4023075 , 0.37368143,\n", - " 0.32305646, 0.32214093], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 57, 77,\n", - " 13, 78, 56, 29, 46]), data={'frame_number': [281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281, 281]}),\n", - " Detections(xyxy=array([[ 1.05863684e+03, 5.78379974e+01, 1.10732556e+03,\n", - " 1.87232224e+02],\n", - " [ 1.43947827e+03, -2.92864889e-01, 1.48441455e+03,\n", - " 1.10803070e+02],\n", - " [ 1.03165161e+03, 1.55222519e+02, 1.07039050e+03,\n", - " 2.76433136e+02],\n", - " [ 1.24586304e+03, 1.17449257e+02, 1.30237622e+03,\n", - " 2.51021210e+02],\n", - " [ 7.10882019e+02, 2.14639435e+02, 7.69257874e+02,\n", - " 3.69422852e+02],\n", - " [ 9.25672546e+02, 4.47174438e+02, 9.87358643e+02,\n", - " 6.04755737e+02],\n", - " [ 1.75133148e+02, 1.61412323e+02, 2.49086670e+02,\n", - " 3.01568085e+02],\n", - " [ 1.38106177e+03, 1.79439678e+01, 1.42123438e+03,\n", - " 1.51173950e+02],\n", - " [ 1.00580951e+03, 8.88204895e+02, 1.10176013e+03,\n", - " 1.08102380e+03],\n", - " [ 7.32147827e+02, 5.79695740e+02, 8.12940247e+02,\n", - " 7.56128479e+02],\n", - " [ 9.30240662e+02, 8.05670090e+01, 9.86500488e+02,\n", - " 2.09720322e+02],\n", - " [ 3.87835274e+01, 1.23059906e+02, 1.04161652e+02,\n", - " 2.44262268e+02],\n", - " [ 1.72990271e+03, 8.41993942e+01, 1.80749158e+03,\n", - " 2.15701126e+02],\n", - " [ 1.47366064e+03, 8.58051147e+02, 1.62977673e+03,\n", - " 1.07512537e+03],\n", - " [ 1.00250867e+03, 9.01444321e+01, 1.03956348e+03,\n", - " 2.03022675e+02],\n", - " [ 7.74978882e+02, 2.21088428e+01, 8.25292358e+02,\n", - " 1.24541504e+02],\n", - " [ 1.80156213e+03, 5.65831375e+01, 1.85258740e+03,\n", - " 1.82284393e+02],\n", - " [ 1.77533374e+03, 4.83411865e+02, 1.87123071e+03,\n", - " 6.63936890e+02],\n", - " [-5.52217811e-02, 2.76548767e+02, 3.20552216e+01,\n", - " 4.04033936e+02],\n", - " [ 4.23624512e+02, 4.63277191e+02, 5.08184448e+02,\n", - " 6.11674622e+02],\n", - " [ 3.34261749e+02, 4.59424988e+02, 3.97109222e+02,\n", - " 6.13405273e+02],\n", - " [ 1.18359106e+03, 8.55971252e+02, 1.30269495e+03,\n", - " 1.03081592e+03],\n", - " [ 1.23317065e+03, 7.75794861e+02, 1.31979968e+03,\n", - " 9.63191467e+02]], dtype=float32), mask=None, confidence=array([0.68092895, 0.59602815, 0.51832485, 0.60622394, 0.692591 ,\n", - " 0.82478184, 0.65289426, 0.5611125 , 0.7242483 , 0.8131311 ,\n", - " 0.65193474, 0.5429531 , 0.6109417 , 0.84086764, 0.4598117 ,\n", - " 0.33136904, 0.50036454, 0.6048397 , 0.42631263, 0.30852494,\n", - " 0.319769 , 0.3580402 , 0.5456204 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 57, 77,\n", - " 13, 78, 56, 29, 69, 11]), data={'frame_number': [282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282, 282]}),\n", - " Detections(xyxy=array([[1.05760571e+03, 5.47892685e+01, 1.10599463e+03, 1.83180115e+02],\n", - " [1.43828625e+03, 4.19140995e-01, 1.48143958e+03, 1.06981987e+02],\n", - " [1.03262402e+03, 1.54399826e+02, 1.07007544e+03, 2.70804291e+02],\n", - " [1.24602942e+03, 1.17750587e+02, 1.30231116e+03, 2.50840668e+02],\n", - " [7.11450867e+02, 2.14157913e+02, 7.70233582e+02, 3.70332794e+02],\n", - " [9.24233215e+02, 4.48813629e+02, 9.87581299e+02, 6.11018433e+02],\n", - " [1.74682556e+02, 1.64996902e+02, 2.47425537e+02, 3.02448853e+02],\n", - " [1.38097314e+03, 1.80196152e+01, 1.42108264e+03, 1.51072052e+02],\n", - " [1.00627185e+03, 8.93776672e+02, 1.10101196e+03, 1.08136658e+03],\n", - " [7.34132629e+02, 5.76676758e+02, 8.13471802e+02, 7.50309448e+02],\n", - " [9.30151917e+02, 8.14454193e+01, 9.87344604e+02, 2.13682877e+02],\n", - " [3.84233284e+01, 1.22396713e+02, 1.03862885e+02, 2.44826004e+02],\n", - " [1.72636487e+03, 8.37318649e+01, 1.80386938e+03, 2.16123886e+02],\n", - " [1.47719934e+03, 8.55127136e+02, 1.62764099e+03, 1.07301880e+03],\n", - " [1.00228156e+03, 9.12664108e+01, 1.03911951e+03, 2.02736221e+02],\n", - " [1.79830835e+03, 5.61478767e+01, 1.84976624e+03, 1.82729401e+02],\n", - " [1.77791870e+03, 4.88699036e+02, 1.86843311e+03, 6.57458069e+02],\n", - " [2.67589092e-01, 2.78542664e+02, 3.17324104e+01, 4.03350403e+02],\n", - " [1.87159509e+03, 9.58000031e+01, 1.91860498e+03, 2.67799988e+02],\n", - " [1.17255273e+03, 8.30301208e+02, 1.30379980e+03, 1.02931909e+03],\n", - " [1.24025916e+03, 7.80181152e+02, 1.31538013e+03, 9.38023926e+02],\n", - " [1.78550439e+03, 6.01603737e+01, 1.84397388e+03, 1.97029190e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7238507 , 0.567017 , 0.44323573, 0.6328198 , 0.65187716,\n", - " 0.821056 , 0.56409156, 0.59429705, 0.7268446 , 0.8237122 ,\n", - " 0.6564201 , 0.5368925 , 0.59623295, 0.8320104 , 0.46908656,\n", - " 0.4767055 , 0.6611566 , 0.45860383, 0.425913 , 0.59442466,\n", - " 0.6437538 , 0.35461017], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13,\n", - " 78, 79, 69, 11, 74]), data={'frame_number': [283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283, 283]}),\n", - " Detections(xyxy=array([[1.05673486e+03, 5.03879013e+01, 1.10536621e+03, 1.79079315e+02],\n", - " [1.43746069e+03, 2.18330864e-02, 1.48086560e+03, 1.06348930e+02],\n", - " [1.03397461e+03, 1.54190994e+02, 1.07031531e+03, 2.66760254e+02],\n", - " [1.24517798e+03, 1.16622856e+02, 1.30184399e+03, 2.50869751e+02],\n", - " [7.13561890e+02, 2.12739944e+02, 7.70649536e+02, 3.64183105e+02],\n", - " [9.24177185e+02, 4.53946289e+02, 9.88500793e+02, 6.19182556e+02],\n", - " [1.72679749e+02, 1.66948212e+02, 2.46716003e+02, 3.08029175e+02],\n", - " [1.38085889e+03, 1.80437698e+01, 1.42111157e+03, 1.51694275e+02],\n", - " [1.00861682e+03, 9.03042358e+02, 1.10057837e+03, 1.08135071e+03],\n", - " [7.36056213e+02, 5.71708130e+02, 8.11188660e+02, 7.35633850e+02],\n", - " [9.29996277e+02, 8.17203140e+01, 9.88446594e+02, 2.18406067e+02],\n", - " [3.83218918e+01, 1.22802017e+02, 1.03062614e+02, 2.45030121e+02],\n", - " [1.72086255e+03, 8.42504425e+01, 1.79834998e+03, 2.16334061e+02],\n", - " [1.47977563e+03, 8.48413635e+02, 1.62557458e+03, 1.06833630e+03],\n", - " [1.00184302e+03, 9.36212006e+01, 1.03930396e+03, 2.05253693e+02],\n", - " [1.79626758e+03, 5.53078423e+01, 1.84775671e+03, 1.82200638e+02],\n", - " [1.78053564e+03, 4.93273895e+02, 1.86637964e+03, 6.50645813e+02],\n", - " [4.44902241e-01, 2.79885254e+02, 3.15550976e+01, 4.03108765e+02],\n", - " [1.87435059e+03, 1.03661888e+02, 1.91723682e+03, 2.60246429e+02],\n", - " [1.16342871e+03, 8.17669128e+02, 1.29387732e+03, 1.02225922e+03],\n", - " [1.24659546e+03, 7.88758850e+02, 1.32307715e+03, 9.50996826e+02],\n", - " [1.85906018e+03, 4.65034523e+01, 1.89708679e+03, 1.77055496e+02],\n", - " [3.32429596e+02, 4.59872437e+02, 3.94649902e+02, 6.11540527e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7842919 , 0.58076507, 0.45231172, 0.6084843 , 0.653548 ,\n", - " 0.8091359 , 0.6846626 , 0.55173457, 0.6698526 , 0.8084432 ,\n", - " 0.6650962 , 0.5375114 , 0.6925787 , 0.8295617 , 0.5114152 ,\n", - " 0.51344454, 0.59732336, 0.43405783, 0.34811354, 0.84137094,\n", - " 0.7836703 , 0.5801007 , 0.3042305 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13,\n", - " 78, 79, 69, 11, 72, 29]), data={'frame_number': [284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284, 284]}),\n", - " Detections(xyxy=array([[ 1.05639648e+03, 4.81438789e+01, 1.10519141e+03,\n", - " 1.76957993e+02],\n", - " [ 1.43654785e+03, 5.63633442e-01, 1.48001758e+03,\n", - " 1.06183334e+02],\n", - " [ 1.03510559e+03, 1.53516632e+02, 1.07111108e+03,\n", - " 2.64705994e+02],\n", - " [ 1.24423315e+03, 1.14284363e+02, 1.30161328e+03,\n", - " 2.50954147e+02],\n", - " [ 7.13724915e+02, 2.10958710e+02, 7.70733826e+02,\n", - " 3.61927917e+02],\n", - " [ 9.23985107e+02, 4.56437927e+02, 9.89012024e+02,\n", - " 6.24155884e+02],\n", - " [ 1.71027451e+02, 1.69589325e+02, 2.44793564e+02,\n", - " 3.10698639e+02],\n", - " [ 1.38194080e+03, 1.73886108e+01, 1.42198364e+03,\n", - " 1.49945908e+02],\n", - " [ 1.00977014e+03, 9.11653442e+02, 1.09942969e+03,\n", - " 1.08119922e+03],\n", - " [ 7.37958862e+02, 5.67317383e+02, 8.11173401e+02,\n", - " 7.26212280e+02],\n", - " [ 9.29629456e+02, 8.24252090e+01, 9.88524963e+02,\n", - " 2.21449265e+02],\n", - " [ 3.77839394e+01, 1.22955154e+02, 1.01944420e+02,\n", - " 2.45097214e+02],\n", - " [ 1.71827417e+03, 8.31630859e+01, 1.79768604e+03,\n", - " 2.17116409e+02],\n", - " [ 1.48156519e+03, 8.40845276e+02, 1.62394470e+03,\n", - " 1.06459717e+03],\n", - " [ 1.00199890e+03, 9.51020584e+01, 1.04038098e+03,\n", - " 2.08142731e+02],\n", - " [ 1.79427966e+03, 5.22773628e+01, 1.84640967e+03,\n", - " 1.80646255e+02],\n", - " [ 1.77670532e+03, 4.96845032e+02, 1.87244812e+03,\n", - " 6.73322815e+02],\n", - " [-1.68737154e-02, 2.79570282e+02, 3.13031330e+01,\n", - " 4.03739655e+02],\n", - " [ 1.87424841e+03, 1.01350105e+02, 1.91697900e+03,\n", - " 2.56951355e+02],\n", - " [ 1.15943457e+03, 8.08264648e+02, 1.28818433e+03,\n", - " 1.01762579e+03],\n", - " [ 1.25027271e+03, 7.96231506e+02, 1.32768848e+03,\n", - " 9.61713989e+02],\n", - " [ 1.87196533e+03, 2.71399994e+02, 1.91963464e+03,\n", - " 3.92600006e+02],\n", - " [ 1.85492664e+03, 4.55817261e+01, 1.89650671e+03,\n", - " 1.78644989e+02]], dtype=float32), mask=None, confidence=array([0.73274547, 0.5497664 , 0.4907161 , 0.6125535 , 0.65158546,\n", - " 0.8242486 , 0.6844625 , 0.5451786 , 0.6499979 , 0.7544931 ,\n", - " 0.6212732 , 0.5725406 , 0.66340715, 0.81715846, 0.465194 ,\n", - " 0.54569757, 0.6382445 , 0.3442204 , 0.38104525, 0.81308615,\n", - " 0.74057996, 0.3847067 , 0.60426676], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13,\n", - " 78, 79, 69, 11, 82, 72]), data={'frame_number': [285, 285, 285, 285, 285, 285, 285, 285, 285, 285, 285, 285, 285, 285, 285, 285, 285, 285, 285, 285, 285, 285, 285]}),\n", - " Detections(xyxy=array([[1.05636877e+03, 4.73747215e+01, 1.10507617e+03, 1.75582077e+02],\n", - " [1.43531628e+03, 1.44960761e+00, 1.47869141e+03, 1.06196754e+02],\n", - " [1.03595276e+03, 1.52658295e+02, 1.07162476e+03, 2.62709259e+02],\n", - " [1.24399670e+03, 1.10837402e+02, 1.30204834e+03, 2.49736725e+02],\n", - " [7.13754944e+02, 2.07705627e+02, 7.72086426e+02, 3.62505188e+02],\n", - " [9.24211182e+02, 4.59232269e+02, 9.90208984e+02, 6.29863342e+02],\n", - " [1.69988647e+02, 1.71182159e+02, 2.43887848e+02, 3.12951385e+02],\n", - " [1.38129846e+03, 1.77996101e+01, 1.42138196e+03, 1.51269821e+02],\n", - " [1.01024243e+03, 9.17912781e+02, 1.09893872e+03, 1.08103113e+03],\n", - " [7.38014465e+02, 5.63842285e+02, 8.11119995e+02, 7.21637573e+02],\n", - " [9.30054199e+02, 8.32920151e+01, 9.89293701e+02, 2.24503952e+02],\n", - " [3.73505707e+01, 1.23010452e+02, 1.01102005e+02, 2.45112976e+02],\n", - " [1.71494373e+03, 8.27796783e+01, 1.79477075e+03, 2.17438583e+02],\n", - " [1.48477026e+03, 8.36170471e+02, 1.62076672e+03, 1.05802014e+03],\n", - " [1.00146008e+03, 9.62587051e+01, 1.04071924e+03, 2.10501129e+02],\n", - " [1.79214514e+03, 5.05075989e+01, 1.84411267e+03, 1.78061996e+02],\n", - " [1.77609241e+03, 4.99404144e+02, 1.87447034e+03, 6.81712280e+02],\n", - " [5.46151161e-01, 2.79418976e+02, 3.18846970e+01, 4.03262268e+02],\n", - " [1.87321948e+03, 8.98854599e+01, 1.91865308e+03, 2.55419800e+02],\n", - " [1.15790344e+03, 8.02209229e+02, 1.27992139e+03, 1.00687152e+03],\n", - " [1.25124890e+03, 8.02674133e+02, 1.33019446e+03, 9.72332520e+02],\n", - " [1.87369812e+03, 2.75725464e+02, 1.91975562e+03, 3.92908966e+02],\n", - " [1.85201013e+03, 4.46081657e+01, 1.89649243e+03, 1.78532257e+02],\n", - " [3.31451813e+02, 4.59182037e+02, 3.94507385e+02, 6.11061157e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.74805355, 0.5362654 , 0.46708155, 0.61099476, 0.7201681 ,\n", - " 0.8132958 , 0.7162826 , 0.52761483, 0.67954046, 0.7445544 ,\n", - " 0.61924124, 0.5849362 , 0.6591198 , 0.82906544, 0.45150104,\n", - " 0.4830947 , 0.5877059 , 0.4210905 , 0.30748492, 0.685263 ,\n", - " 0.66525185, 0.46324658, 0.5165492 , 0.30674604], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13,\n", - " 78, 79, 69, 11, 82, 72, 29]), data={'frame_number': [286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286, 286]}),\n", - " Detections(xyxy=array([[1.05624841e+03, 4.65010910e+01, 1.10519153e+03, 1.74487976e+02],\n", - " [1.43439783e+03, 1.78598177e+00, 1.47742603e+03, 1.04924164e+02],\n", - " [1.03633240e+03, 1.53073654e+02, 1.07172681e+03, 2.62075012e+02],\n", - " [1.24385632e+03, 1.07626633e+02, 1.30225427e+03, 2.48024521e+02],\n", - " [7.15001404e+02, 2.04580978e+02, 7.73949463e+02, 3.60813812e+02],\n", - " [9.24921631e+02, 4.63455200e+02, 9.89373657e+02, 6.29945496e+02],\n", - " [1.69559509e+02, 1.73030411e+02, 2.43003067e+02, 3.14382599e+02],\n", - " [1.38120459e+03, 1.86124020e+01, 1.42100830e+03, 1.51767639e+02],\n", - " [1.01128284e+03, 9.24001587e+02, 1.09856421e+03, 1.07950598e+03],\n", - " [7.37378418e+02, 5.60025940e+02, 8.11747559e+02, 7.20156555e+02],\n", - " [9.30260498e+02, 8.42263489e+01, 9.89545776e+02, 2.26903732e+02],\n", - " [3.72985611e+01, 1.23028481e+02, 1.00687828e+02, 2.45110168e+02],\n", - " [1.71352771e+03, 8.33217468e+01, 1.79275305e+03, 2.15617279e+02],\n", - " [1.48773242e+03, 8.29396545e+02, 1.61777161e+03, 1.04897595e+03],\n", - " [1.00092365e+03, 9.66346817e+01, 1.04183350e+03, 2.15294922e+02],\n", - " [1.78954871e+03, 4.98810425e+01, 1.84186926e+03, 1.77789719e+02],\n", - " [1.77731873e+03, 5.02212311e+02, 1.87507507e+03, 6.84229675e+02],\n", - " [2.44752631e-01, 2.80701935e+02, 3.19171104e+01, 4.05835236e+02],\n", - " [1.87462317e+03, 1.00478600e+02, 1.91744592e+03, 2.55731018e+02],\n", - " [1.15721313e+03, 7.96830383e+02, 1.26947339e+03, 9.91629395e+02],\n", - " [1.23696753e+03, 8.08761780e+02, 1.32055908e+03, 9.80808533e+02],\n", - " [1.87581982e+03, 2.79531647e+02, 1.92062366e+03, 3.93803467e+02],\n", - " [1.84932458e+03, 4.43000412e+01, 1.89623547e+03, 1.79181427e+02],\n", - " [3.30925354e+02, 4.59014893e+02, 3.94860504e+02, 6.11667114e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7227283 , 0.5731854 , 0.36314553, 0.6164743 , 0.70675397,\n", - " 0.8007473 , 0.70452833, 0.53840685, 0.5714794 , 0.7851677 ,\n", - " 0.6524463 , 0.568401 , 0.56432956, 0.8467449 , 0.4643511 ,\n", - " 0.46718505, 0.62380564, 0.4966913 , 0.3422796 , 0.55263484,\n", - " 0.5861473 , 0.42149928, 0.5163324 , 0.31448013], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13,\n", - " 78, 79, 69, 11, 82, 72, 29]), data={'frame_number': [287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287, 287]}),\n", - " Detections(xyxy=array([[ 1.0556373e+03, 4.5580250e+01, 1.1051792e+03, 1.7481918e+02],\n", - " [ 1.4331752e+03, 1.9144924e+00, 1.4759309e+03, 1.0384162e+02],\n", - " [ 1.0365385e+03, 1.5194469e+02, 1.0723452e+03, 2.6194064e+02],\n", - " [ 1.2450159e+03, 1.0647563e+02, 1.3024199e+03, 2.4415643e+02],\n", - " [ 7.1516455e+02, 2.0215195e+02, 7.7427258e+02, 3.5827591e+02],\n", - " [ 9.2529010e+02, 4.6758212e+02, 9.9026373e+02, 6.3576617e+02],\n", - " [ 1.6989391e+02, 1.7497653e+02, 2.4225537e+02, 3.1483987e+02],\n", - " [ 1.3812186e+03, 1.8917473e+01, 1.4208196e+03, 1.5195410e+02],\n", - " [ 1.0119368e+03, 9.2933606e+02, 1.0988240e+03, 1.0795685e+03],\n", - " [ 7.3694855e+02, 5.5741388e+02, 8.1216656e+02, 7.1911163e+02],\n", - " [ 9.3126404e+02, 8.5840942e+01, 9.9002020e+02, 2.2839629e+02],\n", - " [ 3.7382175e+01, 1.2303255e+02, 1.0044685e+02, 2.4510123e+02],\n", - " [ 1.7120286e+03, 8.2235504e+01, 1.7925813e+03, 2.1495129e+02],\n", - " [ 1.4918304e+03, 8.2375446e+02, 1.6136256e+03, 1.0350920e+03],\n", - " [ 1.0000254e+03, 9.8035553e+01, 1.0422950e+03, 2.1965770e+02],\n", - " [ 1.7862336e+03, 4.7005989e+01, 1.8395344e+03, 1.7704716e+02],\n", - " [ 1.7785742e+03, 5.0447266e+02, 1.8758141e+03, 6.8630096e+02],\n", - " [-2.5307931e-02, 2.8181851e+02, 3.2086662e+01, 4.0879639e+02],\n", - " [ 1.1558419e+03, 7.9172229e+02, 1.2625125e+03, 9.8270404e+02],\n", - " [ 1.2462166e+03, 8.1405280e+02, 1.3291819e+03, 9.8512128e+02],\n", - " [ 1.8762784e+03, 2.7900174e+02, 1.9217596e+03, 3.9558905e+02],\n", - " [ 1.8479713e+03, 4.4898205e+01, 1.8959508e+03, 1.7814932e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.72600293, 0.5700871 , 0.3223112 , 0.5836304 , 0.70740706,\n", - " 0.76792395, 0.62557423, 0.53658 , 0.5851464 , 0.78473985,\n", - " 0.65271 , 0.5624038 , 0.61440474, 0.8352896 , 0.49029294,\n", - " 0.48111635, 0.722106 , 0.43794897, 0.65305805, 0.6977673 ,\n", - " 0.44374803, 0.5192185 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 45, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13,\n", - " 78, 69, 11, 82, 72]), data={'frame_number': [288, 288, 288, 288, 288, 288, 288, 288, 288, 288, 288, 288, 288, 288, 288, 288, 288, 288, 288, 288, 288, 288]}),\n", - " Detections(xyxy=array([[ 1.05479810e+03, 4.39752502e+01, 1.10515869e+03,\n", - " 1.75009521e+02],\n", - " [ 1.43198315e+03, 2.63580585e+00, 1.47420667e+03,\n", - " 1.02827324e+02],\n", - " [ 1.24617993e+03, 1.03483185e+02, 1.30241577e+03,\n", - " 2.37447128e+02],\n", - " [ 7.16807068e+02, 1.98015015e+02, 7.75400818e+02,\n", - " 3.50793640e+02],\n", - " [ 9.25618835e+02, 4.70332092e+02, 9.92364685e+02,\n", - " 6.44406433e+02],\n", - " [ 1.70731720e+02, 1.78285889e+02, 2.41345291e+02,\n", - " 3.14927856e+02],\n", - " [ 1.38202344e+03, 1.90268002e+01, 1.42193689e+03,\n", - " 1.52020584e+02],\n", - " [ 1.01256543e+03, 9.38554199e+02, 1.09711804e+03,\n", - " 1.07884375e+03],\n", - " [ 7.35948547e+02, 5.52601624e+02, 8.13154236e+02,\n", - " 7.18900757e+02],\n", - " [ 9.33637939e+02, 9.03428345e+01, 9.90175171e+02,\n", - " 2.27569473e+02],\n", - " [ 3.75078812e+01, 1.23031563e+02, 1.00280121e+02,\n", - " 2.45090836e+02],\n", - " [ 1.70540698e+03, 8.11914215e+01, 1.78492065e+03,\n", - " 2.12747421e+02],\n", - " [ 1.49617188e+03, 8.14577698e+02, 1.60856177e+03,\n", - " 1.01259943e+03],\n", - " [ 1.00062152e+03, 1.01124603e+02, 1.04282544e+03,\n", - " 2.21924545e+02],\n", - " [ 1.78298560e+03, 4.46408348e+01, 1.83552136e+03,\n", - " 1.72153473e+02],\n", - " [ 1.78109790e+03, 5.07184906e+02, 1.87730078e+03,\n", - " 6.86920654e+02],\n", - " [-1.21859111e-01, 2.84882111e+02, 3.28152161e+01,\n", - " 4.15231903e+02],\n", - " [ 1.15556506e+03, 7.83364075e+02, 1.25746301e+03,\n", - " 9.70272827e+02],\n", - " [ 1.25131787e+03, 8.21070374e+02, 1.33273474e+03,\n", - " 9.88539001e+02],\n", - " [ 1.87604797e+03, 2.78743774e+02, 1.92387390e+03,\n", - " 4.02643707e+02],\n", - " [ 1.84519519e+03, 4.38706436e+01, 1.89363464e+03,\n", - " 1.75804321e+02],\n", - " [ 7.96301941e+02, 2.01919670e+01, 8.43002808e+02,\n", - " 1.20345573e+02]], dtype=float32), mask=None, confidence=array([0.71579033, 0.5898619 , 0.64411724, 0.7741097 , 0.7313834 ,\n", - " 0.61792207, 0.5725007 , 0.41680464, 0.8301995 , 0.69057995,\n", - " 0.5313982 , 0.59224796, 0.8255828 , 0.46624723, 0.45985252,\n", - " 0.6741135 , 0.43176585, 0.6284445 , 0.8047466 , 0.51641315,\n", - " 0.54944456, 0.40683392], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 3, 34, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13, 78,\n", - " 69, 11, 82, 72, 57]), data={'frame_number': [289, 289, 289, 289, 289, 289, 289, 289, 289, 289, 289, 289, 289, 289, 289, 289, 289, 289, 289, 289, 289, 289]}),\n", - " Detections(xyxy=array([[1.05446228e+03, 4.34266891e+01, 1.10520276e+03, 1.75140930e+02],\n", - " [1.43173059e+03, 3.57606459e+00, 1.47281750e+03, 1.00490341e+02],\n", - " [1.24727625e+03, 9.97774124e+01, 1.30307422e+03, 2.32340012e+02],\n", - " [7.18081848e+02, 1.95877365e+02, 7.76453186e+02, 3.46715881e+02],\n", - " [9.25919739e+02, 4.73878510e+02, 9.92313477e+02, 6.48207153e+02],\n", - " [1.70336517e+02, 1.79447540e+02, 2.41128159e+02, 3.16212463e+02],\n", - " [1.38215723e+03, 1.90618839e+01, 1.42253003e+03, 1.52702850e+02],\n", - " [1.01172626e+03, 9.45701477e+02, 1.09544287e+03, 1.07921997e+03],\n", - " [7.35347778e+02, 5.50254272e+02, 8.13744751e+02, 7.19607605e+02],\n", - " [9.34724915e+02, 9.20038071e+01, 9.90712585e+02, 2.27808777e+02],\n", - " [3.75038376e+01, 1.23028931e+02, 9.96251602e+01, 2.44420242e+02],\n", - " [1.70220825e+03, 7.94984894e+01, 1.77964709e+03, 2.08630753e+02],\n", - " [1.49824377e+03, 8.08734985e+02, 1.60617859e+03, 1.00159814e+03],\n", - " [1.00071582e+03, 1.04228989e+02, 1.04250671e+03, 2.22708023e+02],\n", - " [1.78252319e+03, 4.37949562e+01, 1.83410242e+03, 1.68312073e+02],\n", - " [1.78390063e+03, 5.10072693e+02, 1.87862585e+03, 6.86982361e+02],\n", - " [7.54006431e-02, 2.90629913e+02, 3.21909180e+01, 4.17600220e+02],\n", - " [1.15517224e+03, 7.78483765e+02, 1.25366272e+03, 9.63891479e+02],\n", - " [1.25444177e+03, 8.26716797e+02, 1.33404175e+03, 9.89594604e+02],\n", - " [1.87540674e+03, 2.77920837e+02, 1.92442334e+03, 4.06399994e+02],\n", - " [1.84342871e+03, 4.35331230e+01, 1.89229431e+03, 1.74289795e+02],\n", - " [7.98519409e+02, 1.79471207e+01, 8.43747131e+02, 1.19326836e+02],\n", - " [1.87276819e+03, 1.09767220e+02, 1.91397363e+03, 2.55589432e+02],\n", - " [3.29784332e+02, 4.58956787e+02, 3.93381500e+02, 6.10232544e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6238756 , 0.5017061 , 0.64640856, 0.7091575 , 0.7916752 ,\n", - " 0.64150584, 0.5786155 , 0.4945961 , 0.84539294, 0.6468532 ,\n", - " 0.5065993 , 0.6421196 , 0.77313215, 0.5550496 , 0.5081122 ,\n", - " 0.6156207 , 0.4628082 , 0.53335106, 0.7642391 , 0.5524967 ,\n", - " 0.6204919 , 0.42865542, 0.3254962 , 0.30691195], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 34, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13, 78,\n", - " 69, 11, 82, 72, 57, 79, 29]), data={'frame_number': [290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290, 290]}),\n", - " Detections(xyxy=array([[1.05383716e+03, 4.19653511e+01, 1.10509473e+03, 1.74591339e+02],\n", - " [1.43094263e+03, 3.24069786e+00, 1.47176428e+03, 9.90132065e+01],\n", - " [1.24841687e+03, 9.71532211e+01, 1.30389685e+03, 2.28542526e+02],\n", - " [7.19941528e+02, 1.95171967e+02, 7.78068787e+02, 3.43968536e+02],\n", - " [9.26929993e+02, 4.76420532e+02, 9.92681885e+02, 6.48841431e+02],\n", - " [1.69383713e+02, 1.79810181e+02, 2.39919174e+02, 3.15968262e+02],\n", - " [1.38213452e+03, 1.90695305e+01, 1.42282166e+03, 1.52955536e+02],\n", - " [1.01196942e+03, 9.49273438e+02, 1.09643054e+03, 1.07931055e+03],\n", - " [7.35140076e+02, 5.48187378e+02, 8.13942322e+02, 7.19365784e+02],\n", - " [9.33830994e+02, 9.18978882e+01, 9.90196838e+02, 2.28501114e+02],\n", - " [3.82537460e+01, 1.23025826e+02, 9.99665909e+01, 2.44161331e+02],\n", - " [1.70103809e+03, 7.68927383e+01, 1.77792151e+03, 2.05789169e+02],\n", - " [1.49851355e+03, 8.02132263e+02, 1.60645032e+03, 9.97143860e+02],\n", - " [1.00112451e+03, 1.06002464e+02, 1.04266650e+03, 2.23577133e+02],\n", - " [1.78144824e+03, 4.35358124e+01, 1.83266650e+03, 1.66263474e+02],\n", - " [1.78566919e+03, 5.11703613e+02, 1.87902698e+03, 6.85523010e+02],\n", - " [6.62440240e-01, 2.95464844e+02, 3.21061516e+01, 4.19093384e+02],\n", - " [1.15692798e+03, 7.74897461e+02, 1.25408789e+03, 9.64452271e+02],\n", - " [1.25743823e+03, 8.31858704e+02, 1.33523108e+03, 9.89787354e+02],\n", - " [1.87489221e+03, 2.72834045e+02, 1.92617163e+03, 4.09708069e+02],\n", - " [1.84040002e+03, 4.14654732e+01, 1.89098193e+03, 1.73757614e+02],\n", - " [8.03321228e+02, 1.92151146e+01, 8.46620850e+02, 1.18996162e+02],\n", - " [1.87284644e+03, 1.10897934e+02, 1.91461157e+03, 2.55816711e+02],\n", - " [3.30579071e+02, 4.58969574e+02, 3.95008026e+02, 6.10695129e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.52399224, 0.51415694, 0.6896253 , 0.7112651 , 0.83052075,\n", - " 0.689974 , 0.5941307 , 0.62127614, 0.8189503 , 0.64427507,\n", - " 0.48684317, 0.622623 , 0.8072332 , 0.5126571 , 0.47138128,\n", - " 0.71494657, 0.49096468, 0.552103 , 0.77711695, 0.45576674,\n", - " 0.5647176 , 0.3570146 , 0.35396942, 0.31092465], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 34, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13, 78,\n", - " 69, 11, 82, 72, 57, 79, 29]), data={'frame_number': [291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291, 291]}),\n", - " Detections(xyxy=array([[1.05475049e+03, 4.14672318e+01, 1.10393506e+03, 1.67856430e+02],\n", - " [1.43034106e+03, 3.11384010e+00, 1.47111389e+03, 9.85317001e+01],\n", - " [1.25058826e+03, 9.55989075e+01, 1.30576318e+03, 2.26566574e+02],\n", - " [7.19552490e+02, 1.93001236e+02, 7.78359192e+02, 3.43055908e+02],\n", - " [9.28551331e+02, 4.79231323e+02, 9.93540649e+02, 6.48909790e+02],\n", - " [1.69565460e+02, 1.80533340e+02, 2.39651428e+02, 3.15811340e+02],\n", - " [1.38215454e+03, 1.90670357e+01, 1.42289636e+03, 1.53044693e+02],\n", - " [1.01442993e+03, 9.53031128e+02, 1.09926025e+03, 1.08000562e+03],\n", - " [7.35927673e+02, 5.46222473e+02, 8.14456726e+02, 7.18088074e+02],\n", - " [9.33164307e+02, 9.31251907e+01, 9.88998718e+02, 2.28044205e+02],\n", - " [3.86165924e+01, 1.23022903e+02, 1.00029388e+02, 2.44062073e+02],\n", - " [1.70075354e+03, 7.39648895e+01, 1.77737048e+03, 2.03452927e+02],\n", - " [1.49855615e+03, 8.00567749e+02, 1.60592810e+03, 9.96359070e+02],\n", - " [1.00125726e+03, 1.06602173e+02, 1.04274036e+03, 2.23831467e+02],\n", - " [1.78051672e+03, 4.28164482e+01, 1.83082910e+03, 1.62884888e+02],\n", - " [1.78868420e+03, 5.14189697e+02, 1.88075342e+03, 6.84835327e+02],\n", - " [7.50866234e-01, 2.98526855e+02, 3.28762550e+01, 4.24289886e+02],\n", - " [1.14466125e+03, 7.73079224e+02, 1.24171399e+03, 9.62205566e+02],\n", - " [1.25863831e+03, 8.36144470e+02, 1.33539734e+03, 9.89684998e+02],\n", - " [1.87358179e+03, 2.62380981e+02, 1.92855859e+03, 4.12831879e+02],\n", - " [1.83916235e+03, 3.94138985e+01, 1.89005457e+03, 1.70957291e+02],\n", - " [8.07986023e+02, 2.10343456e+01, 8.51265320e+02, 1.20883385e+02],\n", - " [1.87140784e+03, 1.07133026e+02, 1.91490442e+03, 2.55202393e+02],\n", - " [1.03935754e+03, 1.38868637e+02, 1.07701587e+03, 2.54114319e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.46474382, 0.5099757 , 0.6808915 , 0.6271377 , 0.8504096 ,\n", - " 0.7032608 , 0.56529325, 0.67219335, 0.81070924, 0.6616081 ,\n", - " 0.4688228 , 0.64323276, 0.7586167 , 0.55704516, 0.411709 ,\n", - " 0.69002473, 0.42311943, 0.5563625 , 0.7472242 , 0.33176187,\n", - " 0.5457098 , 0.38065484, 0.40886486, 0.3072883 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([ 3, 34, 51, 53, 48, 61, 35, 33, 66, 67, 55, 70, 71, 68, 77, 13, 78,\n", - " 69, 11, 82, 72, 57, 79, 45]), data={'frame_number': [292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292, 292]}),\n", - " Detections(xyxy=array([[1.05302954e+03, 4.00183258e+01, 1.10426587e+03, 1.72052658e+02],\n", - " [1.42986499e+03, 2.39194345e+00, 1.47054846e+03, 9.70658417e+01],\n", - " [1.25219714e+03, 9.44426270e+01, 1.30695862e+03, 2.24606552e+02],\n", - " [7.18948486e+02, 1.92267181e+02, 7.78210815e+02, 3.42806549e+02],\n", - " [9.29120728e+02, 4.81486145e+02, 9.93214355e+02, 6.48119629e+02],\n", - " [1.69807983e+02, 1.81399109e+02, 2.39440826e+02, 3.15695740e+02],\n", - " [1.38197961e+03, 1.84010315e+01, 1.42309961e+03, 1.53731979e+02],\n", - " [1.01516895e+03, 9.56166077e+02, 1.10037207e+03, 1.08021924e+03],\n", - " [7.37490051e+02, 5.44290833e+02, 8.14699402e+02, 7.15088074e+02],\n", - " [9.32101868e+02, 9.41909027e+01, 9.88008118e+02, 2.28466751e+02],\n", - " [3.88240318e+01, 1.23020248e+02, 9.99917984e+01, 2.44023956e+02],\n", - " [1.69888049e+03, 7.29074478e+01, 1.77320520e+03, 2.00645966e+02],\n", - " [1.49899182e+03, 7.98906921e+02, 1.60595569e+03, 9.96303650e+02],\n", - " [1.00100897e+03, 1.07424034e+02, 1.04239758e+03, 2.23858841e+02],\n", - " [1.78956885e+03, 5.15669067e+02, 1.88290649e+03, 6.88462402e+02],\n", - " [1.09218800e+00, 2.99583649e+02, 3.48338089e+01, 4.30774689e+02],\n", - " [1.13639209e+03, 7.69978760e+02, 1.23433215e+03, 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, 310.19037 ],\n", - " [ 925.7572 , 530.69006 , 994.59564 , 696.64246 ],\n", - " [ 150.74026 , 207.0815 , 226.71388 , 345.48758 ],\n", - " [ 747.5535 , 496.03162 , 819.82434 , 660.79553 ],\n", - " [ 928.376 , 116.155396 , 989.8498 , 252.19243 ],\n", - " [ 36.53167 , 125.72643 , 96.308014 , 245.6792 ],\n", - " [1647.4949 , 59.54068 , 1719.5729 , 183.9789 ],\n", - " [1523.9918 , 730.39734 , 1621.7672 , 935.4641 ],\n", - " [1001.7823 , 129.80084 , 1041.2487 , 240.81276 ],\n", - " [ 2.02478 , 320.68317 , 44.01842 , 455.6689 ],\n", - " [1075.268 , 710.68677 , 1171.3624 , 910.1828 ],\n", - " [1259.8135 , 925.0116 , 1344.537 , 1081.8394 ],\n", - " [1815.1492 , 21.666449 , 1867.8446 , 147.90085 ],\n", - " [ 844.87274 , 18.610716 , 883.29663 , 119.181915 ],\n", - " [1405.7781 , 946.9715 , 1569.6478 , 1079.9958 ],\n", - " [1745.7788 , 25.718922 , 1801.8971 , 145.83568 ],\n", - " [1043.2112 , 100.52003 , 1081.2231 , 225.74539 ],\n", - " [1384.5232 , 5.01191 , 1448.7538 , 157.012 ],\n", - " 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[1.38139062e+03, 5.06489086e+00, 1.44640894e+03, 1.56945999e+02],\n", - " [1.83007092e+03, 7.10965958e+01, 1.91304248e+03, 2.50375565e+02],\n", - " [1.69225537e+03, 4.96268845e+01, 1.73437219e+03, 1.80776169e+02],\n", - " [1.02887915e+03, 1.29009933e+01, 1.10034766e+03, 2.24556381e+02],\n", - " [1.37953601e+03, 1.42743454e+01, 1.42225879e+03, 1.54990189e+02],\n", - " [1.06425647e+03, 6.96325134e+02, 1.16047681e+03, 8.99098694e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6570464 , 0.54631805, 0.83867884, 0.62046397, 0.76885134,\n", - " 0.7175582 , 0.4838099 , 0.6512553 , 0.8347324 , 0.32928473,\n", - " 0.54778314, 0.83668053, 0.5612567 , 0.5125567 , 0.64332426,\n", - " 0.52954865, 0.4908325 , 0.40328547, 0.5719806 , 0.42911828,\n", - " 0.38141215, 0.5611203 , 0.66656536], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 68, 78, 11, 72, 57, 85, 77, 45,\n", - " 89, 79, 91, 3, 35, 69]), data={'frame_number': [310, 310, 310, 310, 310, 310, 310, 310, 310, 310, 310, 310, 310, 310, 310, 310, 310, 310, 310, 310, 310, 310, 310]}),\n", - " Detections(xyxy=array([[1.26207507e+03, 6.54461212e+01, 1.31480969e+03, 1.96053802e+02],\n", - " [7.27069275e+02, 1.58203812e+02, 7.83588806e+02, 3.09404633e+02],\n", - " [9.22853882e+02, 5.47964844e+02, 9.96457642e+02, 7.30917358e+02],\n", - " [1.44084091e+02, 2.12139587e+02, 2.20576889e+02, 3.48985962e+02],\n", - " [7.52589905e+02, 4.76846313e+02, 8.20625427e+02, 6.31189941e+02],\n", - " [9.31373657e+02, 1.23726433e+02, 9.92562622e+02, 2.64067688e+02],\n", - " [3.44316826e+01, 1.27027863e+02, 9.37456894e+01, 2.46997330e+02],\n", - " [1.63155676e+03, 5.65543823e+01, 1.70215845e+03, 1.85363297e+02],\n", - " [1.53035095e+03, 7.07814209e+02, 1.61910144e+03, 9.04067261e+02],\n", - " [1.85090375e+00, 3.28001923e+02, 4.33105087e+01, 4.56443329e+02],\n", - " [1.26998511e+03, 9.54886047e+02, 1.34393079e+03, 1.08017212e+03],\n", - " [1.80949597e+03, 1.25836525e+01, 1.86202295e+03, 1.36639984e+02],\n", - " [8.55296387e+02, 1.47401590e+01, 8.96296509e+02, 1.15825897e+02],\n", - " [1.39732117e+03, 9.23478394e+02, 1.56089856e+03, 1.07999805e+03],\n", - " [1.73621924e+03, 2.39354401e+01, 1.79326086e+03, 1.42738159e+02],\n", - " [1.38013599e+03, 4.92134809e+00, 1.44513550e+03, 1.56950562e+02],\n", - " [1.83416626e+03, 8.73105240e+01, 1.91491821e+03, 2.63790436e+02],\n", - " [1.69131641e+03, 4.94808884e+01, 1.73292603e+03, 1.78828796e+02],\n", - " [1.03028381e+03, 1.17026014e+01, 1.09939575e+03, 2.23634857e+02],\n", - " [1.37986548e+03, 1.34160547e+01, 1.42263831e+03, 1.54987488e+02],\n", - " [1.06419312e+03, 6.92124817e+02, 1.15770740e+03, 8.90488464e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.625698 , 0.58753 , 0.8482001 , 0.62904763, 0.7320471 ,\n", - " 0.7197133 , 0.4819255 , 0.6793446 , 0.8218775 , 0.550443 ,\n", - " 0.8125547 , 0.5215898 , 0.4848766 , 0.58770037, 0.5658535 ,\n", - " 0.4396294 , 0.4901254 , 0.41550893, 0.5057939 , 0.53065073,\n", - " 0.55448437], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 57, 85, 77, 89, 79,\n", - " 91, 3, 35, 69]), data={'frame_number': [311, 311, 311, 311, 311, 311, 311, 311, 311, 311, 311, 311, 311, 311, 311, 311, 311, 311, 311, 311, 311]}),\n", - " Detections(xyxy=array([[1.26315625e+03, 6.32588234e+01, 1.31474060e+03, 1.90753937e+02],\n", - " [7.28007812e+02, 1.56120605e+02, 7.84589111e+02, 3.08560242e+02],\n", - " [9.23102417e+02, 5.51219299e+02, 9.96603821e+02, 7.35907166e+02],\n", - " [1.43628159e+02, 2.13907928e+02, 2.20365616e+02, 3.50777374e+02],\n", - " [7.53012024e+02, 4.73720795e+02, 8.21188660e+02, 6.27500549e+02],\n", - " [9.32385193e+02, 1.26431885e+02, 9.92445801e+02, 2.65321075e+02],\n", - " [3.43683510e+01, 1.27110069e+02, 9.41234741e+01, 2.47744141e+02],\n", - " [1.62822498e+03, 5.51819191e+01, 1.69859656e+03, 1.84215103e+02],\n", - " [1.53381982e+03, 7.02931274e+02, 1.61794470e+03, 8.88929077e+02],\n", - " [1.08071268e+00, 3.29197052e+02, 4.34194565e+01, 4.59956329e+02],\n", - " [1.27111279e+03, 9.58335571e+02, 1.34476929e+03, 1.07946973e+03],\n", - " [1.80776611e+03, 1.23077984e+01, 1.86033508e+03, 1.35578873e+02],\n", - " [8.57108704e+02, 1.41170950e+01, 8.98501038e+02, 1.15790146e+02],\n", - " [1.39932947e+03, 9.17324158e+02, 1.56187927e+03, 1.07936877e+03],\n", - " [1.73632703e+03, 2.29865704e+01, 1.79338098e+03, 1.42528854e+02],\n", - " [1.37986072e+03, 4.21283007e+00, 1.44513245e+03, 1.56956116e+02],\n", - " [1.83378857e+03, 8.61438522e+01, 1.91627209e+03, 2.69715912e+02],\n", - " [1.69152991e+03, 4.80874710e+01, 1.73001843e+03, 1.67296341e+02],\n", - " [1.03093359e+03, 1.06468010e+01, 1.09772412e+03, 2.21821716e+02],\n", - " [1.06370813e+03, 6.87383545e+02, 1.15482861e+03, 8.81423279e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6129246 , 0.58928895, 0.8345392 , 0.6766416 , 0.7636568 ,\n", - " 0.6970007 , 0.5622848 , 0.63660145, 0.77216 , 0.55137026,\n", - " 0.8292705 , 0.5320493 , 0.4759665 , 0.65147364, 0.5642421 ,\n", - " 0.53780276, 0.58038944, 0.33595395, 0.4626703 , 0.77460074],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 57, 85, 77, 89, 79,\n", - " 91, 3, 69]), data={'frame_number': [312, 312, 312, 312, 312, 312, 312, 312, 312, 312, 312, 312, 312, 312, 312, 312, 312, 312, 312, 312]}),\n", - " Detections(xyxy=array([[1.2638628e+03, 6.1174145e+01, 1.3143787e+03, 1.8550142e+02],\n", - " [7.2911658e+02, 1.5539780e+02, 7.8548773e+02, 3.0764450e+02],\n", - " [9.2258203e+02, 5.5363916e+02, 9.9662836e+02, 7.4221643e+02],\n", - " [1.4154181e+02, 2.1517421e+02, 2.2031395e+02, 3.5603445e+02],\n", - " [7.5379346e+02, 4.7203290e+02, 8.2205585e+02, 6.2564032e+02],\n", - " [9.3301947e+02, 1.2672828e+02, 9.9278925e+02, 2.6638150e+02],\n", - " [3.4186394e+01, 1.2713048e+02, 9.4447495e+01, 2.4867557e+02],\n", - " [1.6263176e+03, 5.6674244e+01, 1.6935530e+03, 1.7985800e+02],\n", - " [1.5350580e+03, 6.9729810e+02, 1.6174750e+03, 8.7949579e+02],\n", - " [5.7125920e-01, 3.3091022e+02, 4.3673756e+01, 4.6384991e+02],\n", - " [1.2724093e+03, 9.6065924e+02, 1.3468566e+03, 1.0798092e+03],\n", - " [1.8069930e+03, 1.1612614e+01, 1.8586216e+03, 1.3194325e+02],\n", - " [8.5762988e+02, 1.3237448e+01, 8.9798633e+02, 1.1315356e+02],\n", - " [1.3989801e+03, 9.1124908e+02, 1.5615934e+03, 1.0797472e+03],\n", - " [1.7348236e+03, 2.2664999e+01, 1.7911613e+03, 1.4117041e+02],\n", - " [1.3779038e+03, 3.9588425e+00, 1.4430098e+03, 1.5762579e+02],\n", - " [1.8339524e+03, 8.8235260e+01, 1.9152399e+03, 2.7131503e+02],\n", - " [1.6850536e+03, 4.8427204e+01, 1.7248900e+03, 1.7139027e+02],\n", - " [1.0636099e+03, 6.8310657e+02, 1.1513313e+03, 8.7021185e+02],\n", - " [9.9957422e+02, 1.3965996e+02, 1.0405416e+03, 2.5692297e+02],\n", - " [1.0438524e+03, 1.0506585e+02, 1.0792081e+03, 2.1798004e+02],\n", - " [1.3806423e+03, 1.2265431e+01, 1.4237374e+03, 1.5497379e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6565858 , 0.59724754, 0.81739247, 0.67522323, 0.7332878 ,\n", - " 0.7283638 , 0.61383194, 0.5411164 , 0.76816565, 0.5385408 ,\n", - " 0.81923735, 0.5649923 , 0.39721733, 0.71037453, 0.58191895,\n", - " 0.47541744, 0.57506907, 0.37347028, 0.76928437, 0.3385511 ,\n", - " 0.43640822, 0.5424243 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 57, 85, 77, 89, 79,\n", - " 91, 69, 68, 45, 35]), data={'frame_number': [313, 313, 313, 313, 313, 313, 313, 313, 313, 313, 313, 313, 313, 313, 313, 313, 313, 313, 313, 313, 313, 313]}),\n", - " Detections(xyxy=array([[ 1.2638998e+03, 5.3762337e+01, 1.3157771e+03, 1.8163472e+02],\n", - " [ 7.3115198e+02, 1.5124229e+02, 7.8746204e+02, 3.0340460e+02],\n", - " [ 9.2354657e+02, 5.5965015e+02, 9.9677869e+02, 7.4772015e+02],\n", - " [ 1.4066663e+02, 2.1822008e+02, 2.1980341e+02, 3.6057300e+02],\n", - " [ 7.5378583e+02, 4.6887817e+02, 8.2262555e+02, 6.2312335e+02],\n", - " [ 9.3443634e+02, 1.2876025e+02, 9.9303619e+02, 2.6671841e+02],\n", - " [ 3.3787209e+01, 1.2712841e+02, 9.4262177e+01, 2.4967461e+02],\n", - " [ 1.6214424e+03, 5.5291069e+01, 1.6894441e+03, 1.7957195e+02],\n", - " [ 1.5359351e+03, 6.9004950e+02, 1.6188328e+03, 8.7294537e+02],\n", - " [-5.6016171e-01, 3.3412955e+02, 4.4044739e+01, 4.7248331e+02],\n", - " [ 1.2754996e+03, 9.7017114e+02, 1.3469489e+03, 1.0805334e+03],\n", - " [ 1.8034877e+03, 1.0748376e+01, 1.8559882e+03, 1.3132272e+02],\n", - " [ 1.3971183e+03, 9.0205444e+02, 1.5607190e+03, 1.0786381e+03],\n", - " [ 1.7328193e+03, 2.1257578e+01, 1.7885967e+03, 1.3870915e+02],\n", - " [ 1.3774181e+03, 3.2137818e+00, 1.4426372e+03, 1.5787994e+02],\n", - " [ 1.8291185e+03, 7.6291916e+01, 1.9139774e+03, 2.6986887e+02],\n", - " [ 1.6825905e+03, 4.5090755e+01, 1.7188303e+03, 1.5543584e+02],\n", - " [ 1.0637719e+03, 6.7766040e+02, 1.1461433e+03, 8.5413928e+02],\n", - " [ 9.9939404e+02, 1.4110454e+02, 1.0399247e+03, 2.5831973e+02],\n", - " [ 1.0453414e+03, 1.0713799e+02, 1.0797581e+03, 2.1699023e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.73348457, 0.64275825, 0.8041305 , 0.6905239 , 0.720428 ,\n", - " 0.7480096 , 0.5881868 , 0.6274377 , 0.8160394 , 0.45551613,\n", - " 0.8382539 , 0.669955 , 0.77542967, 0.6156102 , 0.5821243 ,\n", - " 0.60815006, 0.39637652, 0.55994624, 0.40177467, 0.4198994 ],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 89, 79, 91,\n", - " 69, 68, 45]), data={'frame_number': [314, 314, 314, 314, 314, 314, 314, 314, 314, 314, 314, 314, 314, 314, 314, 314, 314, 314, 314, 314]}),\n", - " Detections(xyxy=array([[ 1.26522058e+03, 4.97936249e+01, 1.31759460e+03,\n", - " 1.79628098e+02],\n", - " [ 7.32387146e+02, 1.47100494e+02, 7.88350891e+02,\n", - " 2.98562988e+02],\n", - " [ 9.25212402e+02, 5.62483826e+02, 9.98170959e+02,\n", - " 7.50294983e+02],\n", - " [ 1.40349075e+02, 2.20638840e+02, 2.19684341e+02,\n", - " 3.64210144e+02],\n", - " [ 7.54049988e+02, 4.66498688e+02, 8.23848206e+02,\n", - " 6.23004211e+02],\n", - " [ 9.36712402e+02, 1.30127625e+02, 9.94680664e+02,\n", - " 2.66772186e+02],\n", - " [ 3.37212639e+01, 1.27118805e+02, 9.41245499e+01,\n", - " 2.50039291e+02],\n", - " [ 1.61826245e+03, 5.21624336e+01, 1.68623340e+03,\n", - " 1.76187408e+02],\n", - " [ 1.53648401e+03, 6.85568298e+02, 1.62037708e+03,\n", - " 8.70103638e+02],\n", - " [-9.18563545e-01, 3.36602600e+02, 4.41110916e+01,\n", - " 4.76994720e+02],\n", - " [ 1.27742871e+03, 9.77478455e+02, 1.34674829e+03,\n", - " 1.08067236e+03],\n", - " [ 1.80058765e+03, 9.14597988e+00, 1.85407642e+03,\n", - " 1.30492874e+02],\n", - " [ 1.39649158e+03, 8.97289062e+02, 1.55840381e+03,\n", - " 1.07882568e+03],\n", - " [ 1.73325403e+03, 1.94367428e+01, 1.78858936e+03,\n", - " 1.37164215e+02],\n", - " [ 1.83168262e+03, 8.81294708e+01, 1.91034668e+03,\n", - " 2.68631073e+02],\n", - " [ 1.67931555e+03, 4.32085114e+01, 1.71365747e+03,\n", - " 1.46018295e+02],\n", - " [ 1.06635327e+03, 6.72448853e+02, 1.14686157e+03,\n", - " 8.46447449e+02],\n", - " [ 9.99832581e+02, 1.40933334e+02, 1.03986536e+03,\n", - " 2.58785736e+02],\n", - " [ 1.04635425e+03, 1.08613197e+02, 1.08014746e+03,\n", - " 2.16662857e+02],\n", - " [ 1.46056299e+01, 6.26474487e+02, 8.29674988e+01,\n", - " 8.11788086e+02],\n", - " [ 1.38121057e+03, 1.19918537e+01, 1.42447449e+03,\n", - " 1.54952103e+02]], dtype=float32), mask=None, confidence=array([0.75324655, 0.7113683 , 0.8220413 , 0.5960392 , 0.7642039 ,\n", - " 0.7694524 , 0.59524095, 0.6360485 , 0.7638091 , 0.44481948,\n", - " 0.86340463, 0.6407711 , 0.8090583 , 0.5663626 , 0.57035375,\n", - " 0.3379395 , 0.50721157, 0.34015805, 0.38164374, 0.3109528 ,\n", - " 0.53232527], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 79, 91, 69,\n", - " 68, 45, 84, 35]), data={'frame_number': [315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315, 315]}),\n", - " Detections(xyxy=array([[ 1.26589844e+03, 4.83774529e+01, 1.31807776e+03,\n", - " 1.78311111e+02],\n", - " [ 7.33828796e+02, 1.44291870e+02, 7.88970886e+02,\n", - " 2.92839081e+02],\n", - " [ 9.26105408e+02, 5.64080139e+02, 9.98441528e+02,\n", - " 7.51089417e+02],\n", - " [ 1.39589569e+02, 2.22808212e+02, 2.19049377e+02,\n", - " 3.67484711e+02],\n", - " [ 7.54039978e+02, 4.64402649e+02, 8.25030518e+02,\n", - " 6.23755127e+02],\n", - " [ 9.37827515e+02, 1.29249176e+02, 9.95668030e+02,\n", - " 2.66067871e+02],\n", - " [ 3.36800232e+01, 1.27106857e+02, 9.41074753e+01,\n", - " 2.50161011e+02],\n", - " [ 1.61645557e+03, 5.03543549e+01, 1.68459839e+03,\n", - " 1.74953766e+02],\n", - " [ 1.53596521e+03, 6.82766296e+02, 1.62160889e+03,\n", - " 8.70614685e+02],\n", - " [-8.03457558e-01, 3.38797394e+02, 4.45311584e+01,\n", - " 4.80597168e+02],\n", - " [ 1.27853247e+03, 9.83216248e+02, 1.34683887e+03,\n", - " 1.08063721e+03],\n", - " [ 1.79759082e+03, 9.91681957e+00, 1.85209070e+03,\n", - " 1.31570618e+02],\n", - " [ 1.39676428e+03, 8.93052002e+02, 1.55636389e+03,\n", - " 1.07890527e+03],\n", - " [ 1.73035864e+03, 2.07772026e+01, 1.78449487e+03,\n", - " 1.34644928e+02],\n", - " [ 1.82704785e+03, 7.40217667e+01, 1.90999939e+03,\n", - " 2.67223145e+02],\n", - " [ 1.67380701e+03, 4.19345093e+01, 1.71164099e+03,\n", - " 1.53165985e+02],\n", - " [ 1.06524780e+03, 6.68702637e+02, 1.14529138e+03,\n", - " 8.43248169e+02],\n", - " [ 1.00147229e+03, 1.41474854e+02, 1.04165833e+03,\n", - " 2.60211731e+02],\n", - " [ 1.04647278e+03, 1.04534004e+02, 1.08119849e+03,\n", - " 2.15243835e+02],\n", - " [ 1.62681484e+01, 6.30669434e+02, 8.72790146e+01,\n", - " 8.12298645e+02],\n", - " [ 1.38189709e+03, 9.93092728e+00, 1.42609058e+03,\n", - " 1.54949707e+02]], dtype=float32), mask=None, confidence=array([0.76127654, 0.73406005, 0.8236162 , 0.5409693 , 0.8195547 ,\n", - " 0.7804484 , 0.57224274, 0.62595737, 0.777985 , 0.53394085,\n", - " 0.81644094, 0.5680983 , 0.74737746, 0.56211567, 0.5195857 ,\n", - " 0.39087734, 0.549683 , 0.5051916 , 0.5017662 , 0.44075626,\n", - " 0.5915731 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 79, 91, 69,\n", - " 68, 45, 84, 35]), data={'frame_number': [316, 316, 316, 316, 316, 316, 316, 316, 316, 316, 316, 316, 316, 316, 316, 316, 316, 316, 316, 316, 316]}),\n", - " Detections(xyxy=array([[ 1.26680017e+03, 4.79457855e+01, 1.31823242e+03,\n", - " 1.76597916e+02],\n", - " [ 7.34177002e+02, 1.42662231e+02, 7.89329224e+02,\n", - " 2.90103455e+02],\n", - " [ 9.27634033e+02, 5.67180115e+02, 9.98659607e+02,\n", - " 7.50552002e+02],\n", - " [ 1.38727600e+02, 2.24223770e+02, 2.18800491e+02,\n", - " 3.71270630e+02],\n", - " [ 7.53498596e+02, 4.60438812e+02, 8.25969421e+02,\n", - " 6.24161926e+02],\n", - " [ 9.38723328e+02, 1.28866531e+02, 9.96841431e+02,\n", - " 2.66418457e+02],\n", - " [ 3.37861214e+01, 1.26436165e+02, 9.46557312e+01,\n", - " 2.50849808e+02],\n", - " [ 1.61462451e+03, 4.83945465e+01, 1.68209424e+03,\n", - " 1.73216797e+02],\n", - " [ 1.53569141e+03, 6.79916199e+02, 1.62274658e+03,\n", - " 8.70355347e+02],\n", - " [-1.07246470e+00, 3.40879028e+02, 4.50049019e+01,\n", - " 4.85791779e+02],\n", - " [ 1.28010461e+03, 9.89821960e+02, 1.34698950e+03,\n", - " 1.08055750e+03],\n", - " [ 1.79387085e+03, 8.27370644e+00, 1.85010413e+03,\n", - " 1.31380371e+02],\n", - " [ 1.39688098e+03, 8.88384949e+02, 1.55432458e+03,\n", - " 1.07893970e+03],\n", - " [ 1.73033167e+03, 1.53003845e+01, 1.78539355e+03,\n", - " 1.32410172e+02],\n", - " [ 1.82405542e+03, 6.63797226e+01, 1.90801245e+03,\n", - " 2.65454498e+02],\n", - " [ 1.66453357e+03, 4.28567047e+01, 1.70703699e+03,\n", - " 1.64847702e+02],\n", - " [ 1.06041187e+03, 6.65477173e+02, 1.14063611e+03,\n", - " 8.42314636e+02],\n", - " [ 1.00212701e+03, 1.42941559e+02, 1.04230884e+03,\n", - " 2.61344147e+02],\n", - " [ 1.04612061e+03, 1.01088303e+02, 1.08131116e+03,\n", - " 2.13431152e+02],\n", - " [ 1.99518833e+01, 6.32661438e+02, 9.56021042e+01,\n", - " 8.13847778e+02],\n", - " [ 1.38194897e+03, 1.05228720e+01, 1.42618933e+03,\n", - " 1.54949951e+02]], dtype=float32), mask=None, confidence=array([0.72732264, 0.81432146, 0.8316494 , 0.67117226, 0.8038748 ,\n", - " 0.7779076 , 0.5742839 , 0.62942386, 0.7375114 , 0.5381471 ,\n", - " 0.8186115 , 0.4973562 , 0.79402876, 0.514702 , 0.5260899 ,\n", - " 0.49647373, 0.68258065, 0.58213127, 0.45253178, 0.6843878 ,\n", - " 0.5248573 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 79, 91, 69,\n", - " 68, 45, 84, 35]), data={'frame_number': [317, 317, 317, 317, 317, 317, 317, 317, 317, 317, 317, 317, 317, 317, 317, 317, 317, 317, 317, 317, 317]}),\n", - " Detections(xyxy=array([[ 1.26746228e+03, 4.72222099e+01, 1.31858691e+03,\n", - " 1.75390152e+02],\n", - " [ 7.35818787e+02, 1.41474915e+02, 7.90546204e+02,\n", - " 2.85856018e+02],\n", - " [ 9.28911743e+02, 5.70198853e+02, 9.98692200e+02,\n", - " 7.49495422e+02],\n", - " [ 1.38122711e+02, 2.26007309e+02, 2.17742889e+02,\n", - " 3.73281464e+02],\n", - " [ 7.53276489e+02, 4.57730103e+02, 8.26301392e+02,\n", - " 6.23761658e+02],\n", - " [ 9.39403320e+02, 1.31317429e+02, 9.96894653e+02,\n", - " 2.67168610e+02],\n", - " [ 3.32809067e+01, 1.26834206e+02, 9.41086655e+01,\n", - " 2.51096085e+02],\n", - " [ 1.61427307e+03, 4.70399818e+01, 1.68107092e+03,\n", - " 1.71950943e+02],\n", - " [ 1.53501013e+03, 6.76386780e+02, 1.62369153e+03,\n", - " 8.69798096e+02],\n", - " [-1.10290742e+00, 3.42914673e+02, 4.51110077e+01,\n", - " 4.88981323e+02],\n", - " [ 1.28100879e+03, 9.96731445e+02, 1.34656885e+03,\n", - " 1.08046289e+03],\n", - " [ 1.79241003e+03, 7.69479561e+00, 1.84889417e+03,\n", - " 1.30038956e+02],\n", - " [ 1.39881055e+03, 8.85449036e+02, 1.55232080e+03,\n", - " 1.07831934e+03],\n", - " [ 1.72727905e+03, 1.26751709e+01, 1.78225916e+03,\n", - " 1.30313248e+02],\n", - " [ 1.82155688e+03, 5.95586319e+01, 1.90537903e+03,\n", - " 2.61456329e+02],\n", - " [ 1.66684131e+03, 4.12843704e+01, 1.70880579e+03,\n", - " 1.62130310e+02],\n", - " [ 1.05562634e+03, 6.62438110e+02, 1.13744446e+03,\n", - " 8.43519409e+02],\n", - " [ 1.00327759e+03, 1.44105347e+02, 1.04362207e+03,\n", - " 2.61704865e+02],\n", - " [ 1.04635291e+03, 9.91687927e+01, 1.08162158e+03,\n", - " 2.11464310e+02],\n", - " [ 2.29666290e+01, 6.33942627e+02, 1.04876305e+02,\n", - " 8.19077759e+02],\n", - " [ 1.38162585e+03, 1.20800009e+01, 1.42523328e+03,\n", - " 1.54953796e+02],\n", - " [ 3.32496460e+02, 4.55010559e+02, 3.99324158e+02,\n", - " 6.07969421e+02],\n", - " [ 1.82161218e+03, 6.00120850e+02, 1.92132532e+03,\n", - " 7.86315979e+02],\n", - " [ 8.72214661e+02, 1.09597521e+01, 9.13112976e+02,\n", - " 1.15505501e+02]], dtype=float32), mask=None, confidence=array([0.7163615 , 0.7787924 , 0.83965313, 0.6347995 , 0.828462 ,\n", - " 0.7750573 , 0.5868429 , 0.64068204, 0.7279203 , 0.6209617 ,\n", - " 0.74152875, 0.4909008 , 0.7892579 , 0.55163705, 0.52996796,\n", - " 0.4570506 , 0.68682337, 0.6866572 , 0.46347424, 0.80456454,\n", - " 0.52575976, 0.30966932, 0.46362388, 0.32509 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 79, 91, 69,\n", - " 68, 45, 84, 35, 29, 13, 57]), data={'frame_number': [318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318, 318]}),\n", - " Detections(xyxy=array([[ 1.26732129e+03, 4.70339394e+01, 1.31840454e+03,\n", - " 1.75689133e+02],\n", - " [ 7.38647644e+02, 1.39121170e+02, 7.92730530e+02,\n", - " 2.79694885e+02],\n", - " [ 9.30181213e+02, 5.75854858e+02, 9.97891846e+02,\n", - " 7.48274353e+02],\n", - " [ 1.37959305e+02, 2.27932358e+02, 2.16688690e+02,\n", - " 3.74607697e+02],\n", - " [ 7.53201294e+02, 4.53543060e+02, 8.26373291e+02,\n", - " 6.20443481e+02],\n", - " [ 9.38538208e+02, 1.32197586e+02, 9.96651733e+02,\n", - " 2.68070526e+02],\n", - " [ 3.24726486e+01, 1.28300323e+02, 9.32104874e+01,\n", - " 2.51831573e+02],\n", - " [ 1.61221362e+03, 4.52558060e+01, 1.67691040e+03,\n", - " 1.68881271e+02],\n", - " [ 1.53577417e+03, 6.71276978e+02, 1.62559644e+03,\n", - " 8.65816956e+02],\n", - " [-5.05741835e-01, 3.45585114e+02, 4.51915779e+01,\n", - " 4.90092682e+02],\n", - " [ 1.28538293e+03, 1.00805493e+03, 1.34656628e+03,\n", - " 1.08037427e+03],\n", - " [ 1.78915344e+03, 6.86202955e+00, 1.84468408e+03,\n", - " 1.24947784e+02],\n", - " [ 1.40139880e+03, 8.79370850e+02, 1.54976172e+03,\n", - " 1.07295361e+03],\n", - " [ 1.72388635e+03, 1.17283907e+01, 1.77880469e+03,\n", - " 1.28255127e+02],\n", - " [ 1.82257202e+03, 5.69482307e+01, 1.89532642e+03,\n", - " 2.30216019e+02],\n", - " [ 1.66320837e+03, 4.00574493e+01, 1.70527686e+03,\n", - " 1.61746140e+02],\n", - " [ 1.04933057e+03, 6.58801575e+02, 1.13238196e+03,\n", - " 8.42835083e+02],\n", - " [ 1.00465125e+03, 1.45813522e+02, 1.04448865e+03,\n", - " 2.61774384e+02],\n", - " [ 1.04799048e+03, 9.58647003e+01, 1.08214807e+03,\n", - " 2.04825302e+02],\n", - " [ 2.49074497e+01, 6.39631775e+02, 1.11977707e+02,\n", - " 8.25610779e+02],\n", - " [ 1.38260571e+03, 1.73155212e+01, 1.42507996e+03,\n", - " 1.55621323e+02],\n", - " [ 3.32996613e+02, 4.54942139e+02, 3.99764008e+02,\n", - " 6.08667053e+02],\n", - " [ 1.82588916e+03, 6.02497620e+02, 1.92283850e+03,\n", - " 7.86356934e+02],\n", - " [ 8.76430237e+02, 1.21735001e+01, 9.15084229e+02,\n", - " 1.13105705e+02]], dtype=float32), mask=None, confidence=array([0.6592766 , 0.8278073 , 0.84648526, 0.6692747 , 0.8360995 ,\n", - " 0.78829443, 0.59263426, 0.6410636 , 0.7783395 , 0.60804087,\n", - " 0.7263973 , 0.53792864, 0.76670516, 0.60076237, 0.471451 ,\n", - " 0.5594405 , 0.6627543 , 0.6328622 , 0.34542176, 0.4960508 ,\n", - " 0.5450918 , 0.34767413, 0.3189147 , 0.43124968], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 79, 91, 69,\n", - " 68, 45, 84, 35, 29, 13, 57]), data={'frame_number': [319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319, 319]}),\n", - " Detections(xyxy=array([[1.26781836e+03, 4.70363312e+01, 1.31840881e+03, 1.74558945e+02],\n", - " [7.39175415e+02, 1.36994583e+02, 7.93316406e+02, 2.75510559e+02],\n", - " [9.30007751e+02, 5.79830078e+02, 9.97538269e+02, 7.49681763e+02],\n", - " [1.38240494e+02, 2.29253342e+02, 2.16017715e+02, 3.75015625e+02],\n", - " [7.53219299e+02, 4.49439331e+02, 8.26312561e+02, 6.16646423e+02],\n", - " [9.36531799e+02, 1.33143524e+02, 9.96214966e+02, 2.71019623e+02],\n", - " [3.15906334e+01, 1.28850723e+02, 9.28011246e+01, 2.52754578e+02],\n", - " [1.61006897e+03, 4.33076363e+01, 1.67363501e+03, 1.67114273e+02],\n", - " [1.53659277e+03, 6.66218933e+02, 1.62705347e+03, 8.61836975e+02],\n", - " [2.83479244e-01, 3.47190491e+02, 4.53169441e+01, 4.89071777e+02],\n", - " [1.28779578e+03, 1.01654810e+03, 1.34622449e+03, 1.08027673e+03],\n", - " [1.78677979e+03, 9.28481007e+00, 1.84039697e+03, 1.21070740e+02],\n", - " [1.40587109e+03, 8.75250793e+02, 1.54599963e+03, 1.06440710e+03],\n", - " [1.72198828e+03, 1.01052685e+01, 1.77693176e+03, 1.26214447e+02],\n", - " [1.81797241e+03, 5.33911858e+01, 1.89572815e+03, 2.41318024e+02],\n", - 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[1.04462671e+03, 6.59999990e+00, 1.08597327e+03, 1.95199997e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6833825 , 0.77522904, 0.8694466 , 0.6571145 , 0.7720189 ,\n", - " 0.77156246, 0.6137631 , 0.57103056, 0.69476545, 0.5984669 ,\n", - " 0.42319077, 0.55080724, 0.72194815, 0.58623856, 0.46767032,\n", - " 0.58798605, 0.46705532, 0.7429494 , 0.6831598 , 0.4925825 ,\n", - " 0.38667843, 0.3836855 , 0.34099013], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 11, 72, 85, 77, 79, 91, 69,\n", - " 68, 84, 35, 29, 57, 94]), data={'frame_number': [321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 321, 321]}),\n", - " Detections(xyxy=array([[1.26982434e+03, 4.44711075e+01, 1.31997424e+03, 1.70757507e+02],\n", - " [7.36171875e+02, 1.31770218e+02, 7.94378601e+02, 2.77060486e+02],\n", - " [9.29023621e+02, 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- " [7.37506958e+02, 1.22392891e+02, 7.98262634e+02, 2.75546967e+02],\n", - " [9.26551086e+02, 6.07836304e+02, 1.00316821e+03, 7.97334656e+02],\n", - " [1.36092804e+02, 2.34445084e+02, 2.11628494e+02, 3.75265228e+02],\n", - " [7.55858398e+02, 4.22067871e+02, 8.25529053e+02, 5.79136414e+02],\n", - " [9.27621948e+02, 1.42417297e+02, 9.96558777e+02, 2.91462128e+02],\n", - " [2.43145027e+01, 1.28465973e+02, 8.68670654e+01, 2.48844269e+02],\n", - " [1.57809827e+03, 3.68283386e+01, 1.64339502e+03, 1.59991821e+02],\n", - " [1.54590564e+03, 6.25854919e+02, 1.63158630e+03, 8.08968079e+02],\n", - " [5.95582390e+00, 3.40369080e+02, 5.95101585e+01, 4.90995056e+02],\n", - " [1.78159021e+03, 1.42853642e+00, 1.83606653e+03, 1.15450455e+02],\n", - " [1.42135632e+03, 8.30857727e+02, 1.52899768e+03, 1.00277173e+03],\n", - " [1.70959131e+03, 5.62306309e+00, 1.76669153e+03, 1.18911903e+02],\n", - " [1.80290674e+03, 4.91709366e+01, 1.87896655e+03, 2.32964615e+02],\n", - " [1.63948645e+03, 3.01480064e+01, 1.68479407e+03, 1.51767410e+02],\n", - " [1.02860474e+03, 6.23028564e+02, 1.10411670e+03, 7.94348633e+02],\n", - " [1.00705261e+03, 1.56212723e+02, 1.04880957e+03, 2.72666870e+02],\n", - " [3.99419289e+01, 6.58220032e+02, 1.36560638e+02, 8.42082336e+02],\n", - " [1.38134167e+03, 6.00598049e+00, 1.42652344e+03, 1.53057968e+02],\n", - " [3.35484711e+02, 4.50290314e+02, 4.01033020e+02, 6.06966492e+02],\n", - " [8.95251648e+02, 8.24978447e+00, 9.36467224e+02, 1.09268349e+02],\n", - " [1.04980286e+03, 6.68137665e+01, 1.08666028e+03, 1.91667542e+02],\n", - " [1.40493250e+03, 9.99016602e+02, 1.51430347e+03, 1.07974646e+03],\n", - " [3.84925201e+02, 4.74250092e+02, 4.58644501e+02, 6.37023315e+02],\n", - " [1.15282495e+03, 1.02320001e+03, 1.22817505e+03, 1.08000000e+03]],\n", - " dtype=float32), mask=None, confidence=array([0.66267467, 0.69133395, 0.8411675 , 0.53456235, 0.7925055 ,\n", - " 0.7966764 , 0.5024029 , 0.6958445 , 0.7846525 , 0.5204835 ,\n", - " 0.57784295, 0.7657077 , 0.56266177, 0.6829186 , 0.61512667,\n", - " 0.67256504, 0.63985616, 0.37229937, 0.4690703 , 0.5353455 ,\n", - " 0.41529757, 0.50234103, 0.5780022 , 0.390536 , 0.51745385],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 57, 45, 96, 97, 98]), data={'frame_number': [327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327, 327]}),\n", - " Detections(xyxy=array([[1.27424353e+03, 2.33422699e+01, 1.32492590e+03, 1.51312164e+02],\n", - " [7.38900574e+02, 1.20089104e+02, 7.99415405e+02, 2.74676514e+02],\n", - " [9.26358276e+02, 6.09263123e+02, 1.00300061e+03, 7.98111511e+02],\n", - " [1.35848145e+02, 2.35203323e+02, 2.11639542e+02, 3.76078491e+02],\n", - " [7.55843750e+02, 4.21434509e+02, 8.25464539e+02, 5.79055054e+02],\n", - " [9.28587036e+02, 1.43212067e+02, 9.97339417e+02, 2.91233398e+02],\n", - " [2.40230885e+01, 1.28824844e+02, 8.58961182e+01, 2.48230865e+02],\n", - " [1.57721411e+03, 3.72551537e+01, 1.64274854e+03, 1.58908997e+02],\n", - " [1.54785522e+03, 6.23474792e+02, 1.63316577e+03, 8.07038452e+02],\n", - " [5.92309427e+00, 3.40204071e+02, 6.11750870e+01, 4.92138092e+02],\n", - " [1.78244507e+03, 1.47803485e+00, 1.83454712e+03, 1.10757698e+02],\n", - " [1.42175500e+03, 8.26308167e+02, 1.52815833e+03, 9.98323914e+02],\n", - " [1.70678076e+03, 4.86342812e+00, 1.76355420e+03, 1.16543495e+02],\n", - " [1.80187341e+03, 4.50484772e+01, 1.87818066e+03, 2.31362778e+02],\n", - " [1.63522229e+03, 2.83207798e+01, 1.68167798e+03, 1.52177704e+02],\n", - " [1.02295648e+03, 6.18888489e+02, 1.09970837e+03, 7.92197083e+02],\n", - " [1.00758826e+03, 1.57223480e+02, 1.04931323e+03, 2.71939117e+02],\n", - " [4.22216644e+01, 6.59582520e+02, 1.38200867e+02, 8.41312134e+02],\n", - " [1.38189307e+03, 5.01759768e+00, 1.42675940e+03, 1.51627930e+02],\n", - 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71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 57, 45, 96, 98, 99]), data={'frame_number': [328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328, 328]}),\n", - " Detections(xyxy=array([[1.27438452e+03, 2.16243324e+01, 1.32506958e+03, 1.48954941e+02],\n", - " [7.41660278e+02, 1.19286842e+02, 7.99546143e+02, 2.67853729e+02],\n", - " [9.27438171e+02, 6.12295715e+02, 1.00308905e+03, 7.97571594e+02],\n", - " [1.34409302e+02, 2.38092728e+02, 2.11713150e+02, 3.80981781e+02],\n", - " [7.56218628e+02, 4.20023376e+02, 8.26358704e+02, 5.79182129e+02],\n", - " [9.29684326e+02, 1.44125565e+02, 9.98237793e+02, 2.91060303e+02],\n", - " [2.21833935e+01, 1.28958755e+02, 8.33323746e+01, 2.48007233e+02],\n", - " [1.57709680e+03, 3.47900124e+01, 1.64258130e+03, 1.55224686e+02],\n", - " [1.54946863e+03, 6.17507202e+02, 1.63547388e+03, 8.04564270e+02],\n", - " [6.01753521e+00, 3.42090027e+02, 6.29457779e+01, 4.95135834e+02],\n", - " [1.78122791e+03, 1.54820538e+00, 1.83228613e+03, 1.09041527e+02],\n", - " [1.41993652e+03, 8.18848633e+02, 1.52650891e+03, 9.93558655e+02],\n", - " [1.70847766e+03, 3.95567584e+00, 1.76374939e+03, 1.13040947e+02],\n", - " [1.80118774e+03, 3.89635506e+01, 1.87699805e+03, 2.26852463e+02],\n", - " [1.62885437e+03, 2.63599682e+01, 1.67626086e+03, 1.50399368e+02],\n", - " [1.01452637e+03, 6.13520935e+02, 1.09336865e+03, 7.91586853e+02],\n", - " [1.00797015e+03, 1.58211517e+02, 1.05061975e+03, 2.74307098e+02],\n", - " [4.65020943e+01, 6.63991638e+02, 1.43194916e+02, 8.45620422e+02],\n", - " [1.38234753e+03, 4.02019739e+00, 1.42725940e+03, 1.51088135e+02],\n", - " [3.35180176e+02, 4.48908020e+02, 3.99535492e+02, 6.03382629e+02],\n", - " [9.02183228e+02, 8.43108082e+00, 9.41850891e+02, 1.07265114e+02],\n", - " [1.05119617e+03, 7.09858932e+01, 1.08519214e+03, 1.87862411e+02],\n", - " [1.39363733e+03, 9.81578552e+02, 1.52493982e+03, 1.07998535e+03],\n", - " [1.13883057e+03, 1.00562347e+03, 1.23559583e+03, 1.07926965e+03],\n", - " [9.96028198e+02, 4.44457932e+01, 1.03558630e+03, 1.63168686e+02],\n", - " [1.84040442e+03, 6.48466492e+02, 1.93020215e+03, 8.33511108e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7103245 , 0.59474444, 0.8501736 , 0.56458384, 0.7691519 ,\n", - " 0.75049055, 0.50150394, 0.61924237, 0.8081728 , 0.52348244,\n", - " 0.5348889 , 0.7575763 , 0.5106929 , 0.78393847, 0.33914685,\n", - " 0.6270117 , 0.6449604 , 0.39294168, 0.5557138 , 0.39773875,\n", - " 0.32027537, 0.49196836, 0.6506709 , 0.72111785, 0.4224717 ,\n", - " 0.31975946], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 57, 45, 96, 98, 99, 13]), data={'frame_number': [329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329, 329]}),\n", - " Detections(xyxy=array([[1.27428943e+03, 2.17337646e+01, 1.32456458e+03, 1.47499359e+02],\n", - " [7.41922974e+02, 1.18425476e+02, 7.98324524e+02, 2.63957489e+02],\n", - " [9.29121826e+02, 6.15282166e+02, 1.00382776e+03, 7.97176575e+02],\n", - " [1.33338028e+02, 2.40454514e+02, 2.11651764e+02, 3.84760864e+02],\n", - " [7.55611450e+02, 4.17632599e+02, 8.26111511e+02, 5.78032410e+02],\n", - " [9.31423340e+02, 1.45086945e+02, 9.99235657e+02, 2.90264313e+02],\n", - " [2.09572887e+01, 1.29670319e+02, 8.09758759e+01, 2.47931442e+02],\n", - " [1.57517944e+03, 3.32404289e+01, 1.63999487e+03, 1.52568710e+02],\n", - " [1.55054028e+03, 6.14112671e+02, 1.63647095e+03, 8.03145691e+02],\n", - " [6.53696680e+00, 3.50646027e+02, 6.24219894e+01, 4.96887085e+02],\n", - " [1.77991309e+03, 9.32527125e-01, 1.83040735e+03, 1.07802559e+02],\n", - " [1.41828308e+03, 8.14937195e+02, 1.52688818e+03, 9.95929932e+02],\n", - " [1.70373267e+03, 2.98996592e+00, 1.75998047e+03, 1.11794594e+02],\n", - " [1.80064697e+03, 3.41032829e+01, 1.87564331e+03, 2.22542480e+02],\n", - " [1.62508777e+03, 2.56634426e+01, 1.67378784e+03, 1.49761887e+02],\n", - " [1.01117371e+03, 6.10335144e+02, 1.09076685e+03, 7.90865479e+02],\n", - " [1.00798047e+03, 1.58532944e+02, 1.05120496e+03, 2.75149200e+02],\n", - " [4.91523285e+01, 6.67535461e+02, 1.49134430e+02, 8.54471924e+02],\n", - " [1.38271509e+03, 4.33307314e+00, 1.42724573e+03, 1.50240250e+02],\n", - " [3.36095642e+02, 4.46800262e+02, 4.01548157e+02, 6.03621704e+02],\n", - " [1.05159399e+03, 6.37493706e+01, 1.08608301e+03, 1.82628479e+02],\n", - " [1.38608447e+03, 9.74089233e+02, 1.52556287e+03, 1.08000928e+03],\n", - " [1.13206519e+03, 9.96608459e+02, 1.23997778e+03, 1.07967126e+03],\n", - " [9.97164612e+02, 4.50677834e+01, 1.03677893e+03, 1.64101685e+02],\n", - " [1.84324731e+03, 6.54309143e+02, 1.92765442e+03, 8.34451538e+02],\n", - " [1.04780688e+03, 1.49393053e+01, 1.08418311e+03, 1.80109833e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.71240705, 0.658499 , 0.8758508 , 0.4262466 , 0.7608821 ,\n", - " 0.75198495, 0.5033414 , 0.62637484, 0.821868 , 0.46734792,\n", - " 0.5834955 , 0.76928353, 0.46589565, 0.7842742 , 0.52311844,\n", - " 0.61725646, 0.67574674, 0.4304142 , 0.54507196, 0.35089293,\n", - " 0.49776235, 0.6412872 , 0.74696815, 0.37812603, 0.40088725,\n", - " 0.33497226], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 45, 96, 98, 99, 13, 94]), data={'frame_number': [330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330, 330]}),\n", - " Detections(xyxy=array([[1.27434705e+03, 2.12071571e+01, 1.32490173e+03, 1.47050766e+02],\n", - " [7.42625305e+02, 1.15511581e+02, 7.97213379e+02, 2.56587799e+02],\n", - " [9.30228149e+02, 6.17590088e+02, 1.00427936e+03, 7.97539734e+02],\n", - " [1.32512558e+02, 2.41302139e+02, 2.11432526e+02, 3.86143250e+02],\n", - " [7.55050171e+02, 4.13551300e+02, 8.26329529e+02, 5.76391541e+02],\n", - " [9.32855896e+02, 1.46067215e+02, 1.00015515e+03, 2.89898163e+02],\n", - " [2.01507092e+01, 1.29934708e+02, 7.91789246e+01, 2.47911331e+02],\n", - " [1.57395630e+03, 3.27049141e+01, 1.63778052e+03, 1.50305786e+02],\n", - " [1.55154749e+03, 6.11040710e+02, 1.63683008e+03, 8.00821716e+02],\n", - " [6.26758814e+00, 3.51943329e+02, 6.39247131e+01, 4.99483704e+02],\n", - " [1.77853003e+03, 7.33007550e-01, 1.82870300e+03, 1.06737511e+02],\n", - " [1.41924609e+03, 8.10375488e+02, 1.52482007e+03, 9.88500854e+02],\n", - " [1.70085205e+03, 2.66821241e+00, 1.75583923e+03, 1.06729431e+02],\n", - " [1.80078540e+03, 3.10406303e+01, 1.87490613e+03, 2.19636536e+02],\n", - " [1.62299365e+03, 2.47913952e+01, 1.67244861e+03, 1.48242950e+02],\n", - " [1.00963727e+03, 6.08635925e+02, 1.08968481e+03, 7.90777649e+02],\n", - " [1.00910309e+03, 1.59262695e+02, 1.05225488e+03, 2.75422607e+02],\n", - " [5.10931740e+01, 6.70747253e+02, 1.54831345e+02, 8.63607605e+02],\n", - " [1.38277368e+03, 3.83107233e+00, 1.42731067e+03, 1.49933273e+02],\n", - " [3.36408875e+02, 4.47349457e+02, 4.00997589e+02, 6.02409241e+02],\n", - " [1.05278491e+03, 6.44799423e+01, 1.08600208e+03, 1.78809006e+02],\n", - " [1.38242944e+03, 9.69371277e+02, 1.52584167e+03, 1.08001709e+03],\n", - " [1.12920520e+03, 9.90659485e+02, 1.24263513e+03, 1.07920300e+03],\n", - " [1.84555505e+03, 6.58916687e+02, 1.92544116e+03, 8.33413879e+02],\n", - " [1.04812317e+03, 1.66944790e+01, 1.08391162e+03, 1.78136276e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7136526 , 0.60197395, 0.8606272 , 0.495597 , 0.8236574 ,\n", - " 0.7252902 , 0.5237852 , 0.5875579 , 0.81151676, 0.5192478 ,\n", - " 0.60093313, 0.7760268 , 0.49650103, 0.7654562 , 0.54877377,\n", - " 0.73721313, 0.5883708 , 0.5957421 , 0.568761 , 0.42995745,\n", - " 0.5045093 , 0.61252785, 0.75192153, 0.5287489 , 0.33573228],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 45, 96, 98, 13, 94]), data={'frame_number': [331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331, 331]}),\n", - " Detections(xyxy=array([[1.27466418e+03, 2.10830059e+01, 1.32536328e+03, 1.46963593e+02],\n", - " [7.42319702e+02, 1.12494896e+02, 7.97311096e+02, 2.55284271e+02],\n", - " [9.30342285e+02, 6.20980103e+02, 1.00272729e+03, 7.96217102e+02],\n", - " [1.31833633e+02, 2.43544632e+02, 2.11758636e+02, 3.89896942e+02],\n", - " [7.55349426e+02, 4.10143219e+02, 8.27198303e+02, 5.74554321e+02],\n", - " [9.34532227e+02, 1.47055573e+02, 1.00133386e+03, 2.89708038e+02],\n", - " [1.98225193e+01, 1.30028427e+02, 7.79435654e+01, 2.47911072e+02],\n", - " [1.57192126e+03, 3.05466766e+01, 1.63610608e+03, 1.49529999e+02],\n", - " [1.55179919e+03, 6.08086060e+02, 1.63767627e+03, 8.01427063e+02],\n", - " [5.91240215e+00, 3.53706177e+02, 6.46917953e+01, 5.01053040e+02],\n", - " [1.77710657e+03, 6.88069940e-01, 1.82641064e+03, 1.04400398e+02],\n", - " [1.41780469e+03, 8.06247253e+02, 1.52588184e+03, 9.92467712e+02],\n", - " [1.69932593e+03, 1.92301047e+00, 1.75423816e+03, 1.03553154e+02],\n", - " [1.80047900e+03, 2.86737576e+01, 1.87378699e+03, 2.17937775e+02],\n", - " [1.62414221e+03, 2.38506660e+01, 1.67224060e+03, 1.43741837e+02],\n", - " [1.00855103e+03, 6.06837219e+02, 1.08875232e+03, 7.90907654e+02],\n", - " [1.00898676e+03, 1.60150772e+02, 1.05249048e+03, 2.77470917e+02],\n", - " [5.24914742e+01, 6.72532898e+02, 1.60069748e+02, 8.72212708e+02],\n", - " [1.38355139e+03, 3.67108679e+00, 1.42788684e+03, 1.49174286e+02],\n", - " [3.36105743e+02, 4.47590668e+02, 3.99860016e+02, 6.01302368e+02],\n", - " [1.05403308e+03, 6.48819580e+01, 1.08648413e+03, 1.75453552e+02],\n", - " [1.12483606e+03, 9.83427734e+02, 1.24576746e+03, 1.07965723e+03],\n", - " [1.84660522e+03, 6.61775757e+02, 1.92434204e+03, 8.34900818e+02],\n", - " [3.86637573e+02, 4.74031281e+02, 4.59412567e+02, 6.34149536e+02],\n", - " [9.98656433e+02, 4.61067543e+01, 1.03852893e+03, 1.65163208e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6991699 , 0.6594496 , 0.86257803, 0.52260846, 0.8520696 ,\n", - " 0.7357413 , 0.5440613 , 0.6320511 , 0.81942487, 0.5305309 ,\n", - " 0.57792044, 0.78141934, 0.5288148 , 0.75636977, 0.54741067,\n", - " 0.72362447, 0.67719364, 0.39650407, 0.5567904 , 0.47734454,\n", - " 0.54318243, 0.7177765 , 0.44526616, 0.37345308, 0.34831223],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 45, 98, 13, 97, 99]), data={'frame_number': [332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332, 332]}),\n", - " Detections(xyxy=array([[1.27482715e+03, 1.97845459e+01, 1.32546155e+03, 1.45686371e+02],\n", - " [7.42429504e+02, 1.09462814e+02, 7.96434753e+02, 2.49581360e+02],\n", - " [9.30607178e+02, 6.24780762e+02, 1.00256268e+03, 7.97592896e+02],\n", - " [1.30894058e+02, 2.45001404e+02, 2.11290817e+02, 3.91915436e+02],\n", - " [7.55710754e+02, 4.07648193e+02, 8.27270996e+02, 5.71986145e+02],\n", - " [9.35571899e+02, 1.47383926e+02, 1.00200372e+03, 2.90254272e+02],\n", - " [1.94423313e+01, 1.29394897e+02, 7.71510696e+01, 2.47917526e+02],\n", - " [1.57092102e+03, 2.84599819e+01, 1.63524963e+03, 1.48634338e+02],\n", - " [1.55363586e+03, 6.03194763e+02, 1.63815283e+03, 7.95905579e+02],\n", - " [5.21340179e+00, 3.53007812e+02, 6.54852829e+01, 5.01582672e+02],\n", - " [1.77551538e+03, 7.01271534e-01, 1.82472070e+03, 1.03597992e+02],\n", - " [1.41663818e+03, 8.02877991e+02, 1.52303406e+03, 9.89483215e+02],\n", - " [1.69958130e+03, 3.71370411e+00, 1.75367737e+03, 1.01128571e+02],\n", - " [1.80048694e+03, 2.65706558e+01, 1.87334143e+03, 2.17359726e+02],\n", - " [1.62105908e+03, 2.28840904e+01, 1.66928394e+03, 1.42089127e+02],\n", - " [1.00696008e+03, 6.03672302e+02, 1.08720654e+03, 7.90437622e+02],\n", - " [1.00804401e+03, 1.62422348e+02, 1.05278284e+03, 2.83480591e+02],\n", - " [5.48053551e+01, 6.74425842e+02, 1.64654144e+02, 8.79294861e+02],\n", - " [1.38401953e+03, 4.96182728e+00, 1.42792078e+03, 1.48903381e+02],\n", - " [3.37182831e+02, 4.47702789e+02, 4.00879822e+02, 6.00907166e+02],\n", - " [1.05490857e+03, 6.64576187e+01, 1.08621326e+03, 1.72298920e+02],\n", - " [1.12211145e+03, 9.76317627e+02, 1.24931604e+03, 1.07984497e+03],\n", - " [1.84768127e+03, 6.62666992e+02, 1.92385327e+03, 8.35329712e+02],\n", - " [3.88599426e+02, 4.73300964e+02, 4.61150482e+02, 6.33216370e+02],\n", - " [9.99453918e+02, 4.84177742e+01, 1.03885571e+03, 1.65241745e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6371441 , 0.6246842 , 0.87818277, 0.4869586 , 0.8356594 ,\n", - " 0.740188 , 0.5665475 , 0.6089093 , 0.8184094 , 0.5869876 ,\n", - " 0.52243274, 0.6786872 , 0.49284756, 0.7338133 , 0.5347761 ,\n", - " 0.6832837 , 0.7012552 , 0.54007274, 0.5700475 , 0.5549185 ,\n", - " 0.5445281 , 0.81416994, 0.33939227, 0.38723484, 0.39061147],\n", - " dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 45, 98, 13, 97, 99]), data={'frame_number': [333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333, 333]}),\n", - " Detections(xyxy=array([[1275.3436 , 16.052923 , 1326.3356 , 142.63077 ],\n", - " [ 742.78644 , 105.74023 , 797.08044 , 246.20671 ],\n", - " [ 930.51556 , 630.07 , 1002.67456 , 802.688 ],\n", - " [ 129.07483 , 248.78781 , 209.32701 , 395.24295 ],\n", - " [ 758.1917 , 403.5317 , 828.22906 , 565.188 ],\n", - " [ 937.77185 , 149.45331 , 1003.7197 , 292.4064 ],\n", - " [ 18.871372 , 129.15266 , 76.691826 , 249.2476 ],\n", - " [1566.7323 , 24.416538 , 1631.6749 , 147.0356 ],\n", - " [1555.4824 , 596.24225 , 1637.114 , 783.41656 ],\n", - " [ 6.0667157, 354.6752 , 66.59125 , 500.40933 ],\n", - " [1768.2274 , 2.066877 , 1818.8542 , 107.38019 ],\n", - " [1417.7329 , 795.261 , 1516.4814 , 970.1561 ],\n", - " [1698.2087 , 3.732056 , 1752.4021 , 99.662155 ],\n", - " [1799.6824 , 25.220137 , 1872.1063 , 217.20401 ],\n", - " [1616.3867 , 21.903004 , 1664.594 , 140.86467 ],\n", - " [1004.5679 , 598.67267 , 1084.7064 , 787.758 ],\n", - " [1008.2267 , 163.2427 , 1054.2874 , 288.9684 ],\n", - " [ 59.827206 , 679.6006 , 168.57593 , 883.1949 ],\n", - " [1384.2656 , 6.141315 , 1427.8485 , 148.8196 ],\n", - " [ 337.30563 , 446.43628 , 401.53162 , 600.78064 ],\n", - " [1054.9702 , 64.39085 , 1086.3334 , 169.90056 ],\n", - " [1117.9653 , 968.00745 , 1251.993 , 1079.9248 ],\n", - " [1850.0779 , 668.1769 , 1922.2788 , 833.3683 ],\n", - " [ 389.31415 , 471.71094 , 462.28915 , 633.59875 ],\n", - " [1000.8289 , 54.06122 , 1038.4934 , 164.54524 ],\n", - " [1370.7512 , 948.7979 , 1534.1724 , 1079.0869 ],\n", - " [1050.2039 , 17.874146 , 1084.4585 , 170.77055 ]],\n", - " dtype=float32), mask=None, confidence=array([0.69391644, 0.59735847, 0.8423439 , 0.4750294 , 0.80771196,\n", - " 0.7492695 , 0.5637278 , 0.60923845, 0.83523333, 0.5244007 ,\n", - " 0.5080458 , 0.7774873 , 0.5257431 , 0.6101602 , 0.5906728 ,\n", - " 0.7008412 , 0.6034788 , 0.50097704, 0.59586084, 0.5253578 ,\n", - " 0.4719166 , 0.8540174 , 0.51456827, 0.35917932, 0.41217035,\n", - " 0.39537743, 0.361716 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77, 79, 91, 69, 68,\n", - " 84, 35, 29, 45, 98, 13, 97, 99, 96, 94]), data={'frame_number': [334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334, 334]}),\n", - " Detections(xyxy=array([[1.27616016e+03, 1.27311029e+01, 1.32733411e+03, 1.39568054e+02],\n", - " [7.43778381e+02, 1.02448296e+02, 7.98427429e+02, 2.44396317e+02],\n", - " [9.29914856e+02, 6.34566406e+02, 1.00460101e+03, 8.12476562e+02],\n", - " [1.27499283e+02, 2.50168518e+02, 2.07530380e+02, 3.95773682e+02],\n", - " [7.59419678e+02, 4.00111145e+02, 8.26966187e+02, 5.56086792e+02],\n", - " [9.39213257e+02, 1.52178574e+02, 1.00503833e+03, 2.96485992e+02],\n", - " [1.76921730e+01, 1.28401657e+02, 7.55732727e+01, 2.49751968e+02],\n", - " [1.56330603e+03, 2.16244965e+01, 1.62840588e+03, 1.45827576e+02],\n", - " [1.55753064e+03, 5.89811096e+02, 1.63528137e+03, 7.67520691e+02],\n", - " [5.54261255e+00, 3.54599304e+02, 6.78034286e+01, 5.01882568e+02],\n", - " [1.76540747e+03, 1.92120624e+00, 1.81626880e+03, 1.06826492e+02],\n", - " [1.41828491e+03, 7.88583069e+02, 1.51388525e+03, 9.59510010e+02],\n", - " [1.69612524e+03, 3.08068156e+00, 1.75162817e+03, 9.98909683e+01],\n", - " [1.79873792e+03, 2.41543808e+01, 1.87039575e+03, 2.15894150e+02],\n", - " [1.61354443e+03, 2.02523937e+01, 1.66281812e+03, 1.40463226e+02],\n", - " [1.00227911e+03, 5.92973145e+02, 1.08273572e+03, 7.85539368e+02],\n", - " [1.00812775e+03, 1.64813477e+02, 1.05436023e+03, 2.91664825e+02],\n", - " [6.22274246e+01, 6.82811157e+02, 1.70702560e+02, 8.87144287e+02],\n", - " [1.38395349e+03, 5.93913555e+00, 1.42754712e+03, 1.48141434e+02],\n", - " [3.36882935e+02, 4.45976593e+02, 4.00908417e+02, 6.00092224e+02],\n", - " [1.05314209e+03, 5.42799568e+01, 1.08685803e+03, 1.68448181e+02],\n", - " [1.11451855e+03, 9.59838318e+02, 1.25426355e+03, 1.07995898e+03],\n", - " [1.85164355e+03, 6.70718079e+02, 1.92297339e+03, 8.36546570e+02],\n", - " [3.89937805e+02, 4.70469025e+02, 4.62973907e+02, 6.33751587e+02],\n", - " [1.00254938e+03, 5.52912102e+01, 1.04125488e+03, 1.68491547e+02],\n", - " [1.87400549e+03, 3.12399994e+02, 1.91779443e+03, 4.50799988e+02],\n", - " [1.36883057e+03, 9.40477295e+02, 1.53594409e+03, 1.07819922e+03],\n", - " [1.05025769e+03, 1.64879761e+01, 1.08476624e+03, 1.69233749e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.6905542 , 0.6331626 , 0.76741874, 0.45601645, 0.7783562 ,\n", - " 0.72374356, 0.5823715 , 0.6594768 , 0.8413075 , 0.63350594,\n", - " 0.4832913 , 0.779269 , 0.4921158 , 0.56985885, 0.60654944,\n", - " 0.6500133 , 0.65436065, 0.5934272 , 0.6172317 , 0.5462067 ,\n", - " 0.48278713, 0.87117517, 0.35938054, 0.43184847, 0.44769302,\n", - " 0.42757165, 0.51034445, 0.3700922 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0]), tracker_id=array([ 51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77,\n", - " 79, 91, 69, 68, 84, 35, 29, 45, 98, 13, 97, 99, 100,\n", - " 96, 94]), data={'frame_number': [335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335, 335]}),\n", - " Detections(xyxy=array([[1.27688635e+03, 1.02283249e+01, 1.32726172e+03, 1.34524139e+02],\n", - " [7.44851257e+02, 9.99800720e+01, 7.99523376e+02, 2.42501587e+02],\n", - " [9.30370056e+02, 6.39416504e+02, 1.00594000e+03, 8.18649292e+02],\n", - " [1.26364426e+02, 2.49963272e+02, 2.06123032e+02, 3.94574127e+02],\n", - " [7.59998840e+02, 3.96292084e+02, 8.26340088e+02, 5.49450073e+02],\n", - " [9.39898071e+02, 1.53822174e+02, 1.00534521e+03, 2.99296875e+02],\n", - " [1.72879181e+01, 1.28116104e+02, 7.51716537e+01, 2.50599609e+02],\n", - " [1.55969531e+03, 2.19321899e+01, 1.62507080e+03, 1.47392792e+02],\n", - " [1.55921594e+03, 5.84941956e+02, 1.63561230e+03, 7.57761597e+02],\n", - " [5.43270540e+00, 3.53879730e+02, 6.87867661e+01, 5.01074463e+02],\n", - " [1.76478210e+03, 1.21478748e+00, 1.81634998e+03, 1.05991325e+02],\n", - " [1.41971802e+03, 7.82991882e+02, 1.51176697e+03, 9.48464294e+02],\n", - " [1.69451685e+03, 2.86012340e+00, 1.75096924e+03, 1.00039238e+02],\n", - " [1.79872498e+03, 2.45112400e+01, 1.86949072e+03, 2.14796112e+02],\n", - " [1.60938867e+03, 1.83543510e+01, 1.65950403e+03, 1.39702011e+02],\n", - " [9.99032227e+02, 5.88973694e+02, 1.07804041e+03, 7.80231018e+02],\n", - " [1.00804431e+03, 1.66026459e+02, 1.05439636e+03, 2.93280670e+02],\n", - " [6.32967567e+01, 6.85895996e+02, 1.71791763e+02, 8.91772156e+02],\n", - " [1.38387512e+03, 7.20097494e+00, 1.42738257e+03, 1.48565369e+02],\n", - " [3.36740509e+02, 4.45822754e+02, 4.00635529e+02, 5.99852051e+02],\n", - " [1.05335608e+03, 5.19435806e+01, 1.08746399e+03, 1.67945816e+02],\n", - " [1.11240076e+03, 9.54820923e+02, 1.25347083e+03, 1.07997424e+03],\n", - " [1.85029712e+03, 6.76200928e+02, 1.92241406e+03, 8.45652161e+02],\n", - " [3.90311096e+02, 4.69350555e+02, 4.63044830e+02, 6.33156677e+02],\n", - " [1.00405188e+03, 5.43113670e+01, 1.04396423e+03, 1.70507309e+02],\n", - " [1.87045312e+03, 3.12093445e+02, 1.91460229e+03, 4.50953278e+02],\n", - " [1.36752234e+03, 9.32949524e+02, 1.53722168e+03, 1.07789172e+03],\n", - " [1.05061047e+03, 1.73908691e+01, 1.08520691e+03, 1.68735764e+02],\n", - " [4.46007904e+02, 4.68799988e+02, 5.12192078e+02, 6.07200012e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.69053423, 0.6256549 , 0.7261014 , 0.5293533 , 0.81939113,\n", - " 0.72578436, 0.57927233, 0.6046755 , 0.82017803, 0.578003 ,\n", - " 0.58622783, 0.7265513 , 0.5168065 , 0.5555882 , 0.6610092 ,\n", - " 0.6594224 , 0.5652103 , 0.48138574, 0.5643259 , 0.54865295,\n", - " 0.509321 , 0.84781194, 0.39615715, 0.47386146, 0.43101764,\n", - " 0.4616395 , 0.6200521 , 0.30720374, 0.4134502 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0, 0, 0]), tracker_id=array([ 51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77,\n", - " 79, 91, 69, 68, 84, 35, 29, 45, 98, 13, 97, 99, 100,\n", - " 96, 94, 101]), data={'frame_number': [336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336, 336]}),\n", - " Detections(xyxy=array([[1.27708228e+03, 8.04024601e+00, 1.32727100e+03, 1.31372925e+02],\n", - " [7.45018005e+02, 9.78229675e+01, 7.99477234e+02, 2.39913666e+02],\n", - " [9.29703308e+02, 6.43094238e+02, 1.00859204e+03, 8.30088806e+02],\n", - " [1.24545547e+02, 2.51145859e+02, 2.05060196e+02, 3.96698914e+02],\n", - " [7.60784607e+02, 3.92999725e+02, 8.25513977e+02, 5.42464355e+02],\n", - " [9.41281006e+02, 1.55054779e+02, 1.00625848e+03, 3.01623871e+02],\n", - " [1.75930805e+01, 1.28010040e+02, 7.52844315e+01, 2.50918335e+02],\n", - " [1.55680481e+03, 2.21124382e+01, 1.62158252e+03, 1.46075455e+02],\n", - " [1.56051270e+03, 5.79314453e+02, 1.63700818e+03, 7.51080322e+02],\n", - " [5.35342264e+00, 3.57529572e+02, 6.98061676e+01, 5.04679260e+02],\n", - " [1.76360950e+03, 9.61339653e-01, 1.81548718e+03, 1.05047379e+02],\n", - " [1.41963965e+03, 7.77799988e+02, 1.51031995e+03, 9.41273499e+02],\n", - " [1.69336401e+03, 2.79794383e+00, 1.75007397e+03, 9.94966736e+01],\n", - " [1.79842578e+03, 2.47467060e+01, 1.86821765e+03, 2.12457733e+02],\n", - " [1.60815356e+03, 1.70230293e+01, 1.65747046e+03, 1.37486328e+02],\n", - " [9.95375549e+02, 5.86291321e+02, 1.07297192e+03, 7.75682983e+02],\n", - " [1.00889417e+03, 1.66443787e+02, 1.05415332e+03, 2.90547150e+02],\n", - " [1.38417468e+03, 7.68670225e+00, 1.42764514e+03, 1.48741287e+02],\n", - " [3.36305939e+02, 4.45122314e+02, 4.00240540e+02, 5.99781555e+02],\n", - " [1.05389307e+03, 5.37616501e+01, 1.08722656e+03, 1.67869308e+02],\n", - " [1.11048022e+03, 9.48643555e+02, 1.25361560e+03, 1.07998169e+03],\n", - " [1.85167480e+03, 6.78105774e+02, 1.92425537e+03, 8.52248230e+02],\n", - " [3.90579834e+02, 4.69612152e+02, 4.62895966e+02, 6.33609497e+02],\n", - " [1.00530103e+03, 5.72340698e+01, 1.04552258e+03, 1.73221085e+02],\n", - " [1.86482446e+03, 3.01919067e+02, 1.91329211e+03, 4.53329254e+02],\n", - " [1.36384778e+03, 9.26299561e+02, 1.53587463e+03, 1.07846375e+03],\n", - " [4.46872375e+02, 4.68181091e+02, 5.13493774e+02, 6.07818909e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.69174314, 0.62983996, 0.8076521 , 0.4219134 , 0.81058335,\n", - " 0.7003125 , 0.60306716, 0.60577 , 0.7559887 , 0.47552958,\n", - " 0.51491547, 0.7345225 , 0.47935694, 0.48485872, 0.5466329 ,\n", - " 0.67521334, 0.46449578, 0.55076545, 0.50788075, 0.47274017,\n", - " 0.8687712 , 0.36684057, 0.44668257, 0.45732215, 0.5153092 ,\n", - " 0.7073776 , 0.38449758], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0, 0]), tracker_id=array([ 51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77,\n", - " 79, 91, 69, 68, 35, 29, 45, 98, 13, 97, 99, 100, 96,\n", - " 101]), data={'frame_number': [337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337, 337]}),\n", - " Detections(xyxy=array([[1.27731372e+03, 7.30423832e+00, 1.32708301e+03, 1.28960571e+02],\n", - " [7.45136047e+02, 9.64462814e+01, 8.00023987e+02, 2.39709656e+02],\n", - " [9.29069580e+02, 6.46976807e+02, 1.00800684e+03, 8.34282410e+02],\n", - " [1.21571152e+02, 2.52198578e+02, 2.02398682e+02, 3.98101868e+02],\n", - " [7.61223755e+02, 3.89231903e+02, 8.25707886e+02, 5.38030884e+02],\n", - " [9.42317688e+02, 1.58103439e+02, 1.00604034e+03, 3.03104675e+02],\n", - " [1.76991673e+01, 1.28630798e+02, 7.47451782e+01, 2.51033340e+02],\n", - " [1.55285181e+03, 2.29088917e+01, 1.61739111e+03, 1.46284103e+02],\n", - " [1.55993262e+03, 5.74755615e+02, 1.63783997e+03, 7.48200378e+02],\n", - " [3.89919066e+00, 3.59537018e+02, 7.15678635e+01, 5.12604980e+02],\n", - " [1.76283069e+03, 8.79444838e-01, 1.81498962e+03, 1.04062454e+02],\n", - " [1.41841821e+03, 7.72751587e+02, 1.50902917e+03, 9.36875183e+02],\n", - " [1.69112610e+03, 2.79408312e+00, 1.74833704e+03, 9.93585663e+01],\n", - " [1.79769336e+03, 2.22726688e+01, 1.86778540e+03, 2.09644409e+02],\n", - " [1.60733325e+03, 1.59093361e+01, 1.65597607e+03, 1.36698624e+02],\n", - " [9.92684937e+02, 5.82792236e+02, 1.06731519e+03, 7.65504028e+02],\n", - " [1.01354761e+03, 1.66545486e+02, 1.05301282e+03, 2.72175507e+02],\n", - " [1.38501660e+03, 8.53634071e+00, 1.42833167e+03, 1.48819534e+02],\n", - " [3.35798126e+02, 4.44875671e+02, 3.99768097e+02, 6.00432922e+02],\n", - " [1.05472363e+03, 5.45810509e+01, 1.08781165e+03, 1.68610672e+02],\n", - " [1.11032092e+03, 9.45086243e+02, 1.25247766e+03, 1.07998535e+03],\n", - " [1.85291077e+03, 6.81314941e+02, 1.92419373e+03, 8.55282837e+02],\n", - " [3.90552216e+02, 4.70394562e+02, 4.62262482e+02, 6.33792297e+02],\n", - " [1.00759778e+03, 5.89415741e+01, 1.04752246e+03, 1.73518661e+02],\n", - " [1.85908813e+03, 2.79401703e+02, 1.91477686e+03, 4.52655640e+02],\n", - " [1.36275452e+03, 9.21894836e+02, 1.53250806e+03, 1.07685144e+03]],\n", - " dtype=float32), mask=None, confidence=array([0.7308346 , 0.631546 , 0.7315007 , 0.48907095, 0.76931846,\n", - " 0.6880376 , 0.5970086 , 0.67012334, 0.7196404 , 0.43496764,\n", - " 0.50160825, 0.75878173, 0.5610249 , 0.6505914 , 0.64682734,\n", - " 0.6666637 , 0.37619835, 0.5836489 , 0.44389609, 0.540068 ,\n", - " 0.8842938 , 0.35508174, 0.3964653 , 0.44140977, 0.6229471 ,\n", - " 0.74234736], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77,\n", - " 79, 91, 69, 68, 35, 29, 45, 98, 13, 97, 99, 100, 96]), data={'frame_number': [338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338, 338]}),\n", - " Detections(xyxy=array([[1.27863684e+03, 6.44832563e+00, 1.32707605e+03, 1.24825836e+02],\n", - " [7.47702759e+02, 9.66742249e+01, 7.99652039e+02, 2.31809128e+02],\n", - " [9.30837891e+02, 6.53561279e+02, 1.00638281e+03, 8.32423462e+02],\n", - " [1.19443672e+02, 2.53861526e+02, 1.99824982e+02, 3.98572083e+02],\n", - " [7.61308838e+02, 3.83956329e+02, 8.27174011e+02, 5.35889465e+02],\n", - " [9.44089661e+02, 1.60532135e+02, 1.00650134e+03, 3.04258545e+02],\n", - " [1.75003128e+01, 1.29529785e+02, 7.41789169e+01, 2.51729828e+02],\n", - " [1.54798938e+03, 2.19335079e+01, 1.61345593e+03, 1.47066360e+02],\n", - " [1.56187146e+03, 5.71249634e+02, 1.64058728e+03, 7.45361755e+02],\n", - " [2.15706134e+00, 3.61560150e+02, 7.27467575e+01, 5.20729675e+02],\n", - " [1.76046680e+03, 1.95630401e-01, 1.81169214e+03, 1.01065155e+02],\n", - " [1.41619690e+03, 7.66419678e+02, 1.51038171e+03, 9.38819092e+02],\n", - " [1.68803748e+03, 2.14131570e+00, 1.74606494e+03, 1.00028008e+02],\n", - " [1.79643689e+03, 2.14164314e+01, 1.86603760e+03, 2.06663208e+02],\n", - " [1.60621338e+03, 1.28946924e+01, 1.65312280e+03, 1.30505188e+02],\n", - " [9.91444153e+02, 5.77640198e+02, 1.06235364e+03, 7.50437378e+02],\n", - " [1.01662811e+03, 1.69994507e+02, 1.05264502e+03, 2.64159698e+02],\n", - " [1.38585132e+03, 1.08490744e+01, 1.42872498e+03, 1.48859741e+02],\n", - " [3.34404266e+02, 4.43482086e+02, 3.98810699e+02, 6.01353882e+02],\n", - " [1.05386694e+03, 5.29705009e+01, 1.08719678e+03, 1.67632553e+02],\n", - " [1.11035107e+03, 9.39486206e+02, 1.25323376e+03, 1.07998767e+03],\n", - " [3.90617676e+02, 4.70041046e+02, 4.61910126e+02, 6.33205811e+02],\n", - " [1.00926294e+03, 5.74895630e+01, 1.04936304e+03, 1.72896194e+02],\n", - " [1.85592468e+03, 2.67386597e+02, 1.91452625e+03, 4.48412781e+02],\n", - " [1.36181409e+03, 9.17755676e+02, 1.52536536e+03, 1.07116833e+03],\n", - " [7.02829361e+01, 6.94312134e+02, 1.74194351e+02, 8.92945129e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7484041 , 0.5649883 , 0.55705434, 0.5018337 , 0.87288207,\n", - " 0.7190826 , 0.5919944 , 0.71253526, 0.73010397, 0.5642562 ,\n", - " 0.49654156, 0.7521143 , 0.62270045, 0.53541845, 0.6459871 ,\n", - " 0.691257 , 0.3476938 , 0.5999004 , 0.46084607, 0.5447112 ,\n", - " 0.83469653, 0.48595154, 0.40196255, 0.687321 , 0.39896464,\n", - " 0.6006303 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77,\n", - " 79, 91, 69, 68, 35, 29, 45, 98, 97, 99, 100, 96, 84]), data={'frame_number': [339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339, 339]}),\n", - " Detections(xyxy=array([[1.27887048e+03, 4.87362385e+00, 1.32730042e+03, 1.23393845e+02],\n", - " [7.48171875e+02, 9.62293243e+01, 7.99969360e+02, 2.30950394e+02],\n", - " [9.35160217e+02, 6.57897583e+02, 1.00744055e+03, 8.26762573e+02],\n", - " [1.18251266e+02, 2.55096436e+02, 1.98666412e+02, 3.99347595e+02],\n", - " [7.60942383e+02, 3.82109070e+02, 8.27436951e+02, 5.35227600e+02],\n", - " [9.46023376e+02, 1.64037491e+02, 1.00733966e+03, 3.05953979e+02],\n", - " [1.73734589e+01, 1.30528961e+02, 7.34084778e+01, 2.51985855e+02],\n", - " [1.54481384e+03, 2.09459190e+01, 1.61024146e+03, 1.46077301e+02],\n", - " [1.56270044e+03, 5.69466431e+02, 1.64278003e+03, 7.45864197e+02],\n", - " [1.81051183e+00, 3.64886780e+02, 7.34873428e+01, 5.25734192e+02],\n", - " [1.76089075e+03, 6.22977197e-01, 1.80996899e+03, 9.59623566e+01],\n", - " [1.41317310e+03, 7.60939209e+02, 1.51116370e+03, 9.42280212e+02],\n", - " [1.68590735e+03, 1.24955845e+00, 1.74432605e+03, 1.00316986e+02],\n", - " [1.79590356e+03, 2.11759567e+01, 1.86419519e+03, 2.01623688e+02],\n", - " [1.60408093e+03, 1.11426458e+01, 1.65065796e+03, 1.28884369e+02],\n", - " [9.89172363e+02, 5.72526489e+02, 1.05858081e+03, 7.40291504e+02],\n", - " [1.01283887e+03, 1.69682602e+02, 1.05729895e+03, 2.87053528e+02],\n", - " [1.38646863e+03, 1.17159481e+01, 1.42921924e+03, 1.48884933e+02],\n", - " [3.34857849e+02, 4.42972015e+02, 3.99439331e+02, 6.01712036e+02],\n", - " [1.05360120e+03, 5.24234200e+01, 1.08688940e+03, 1.66664688e+02],\n", - " [1.10937549e+03, 9.34286682e+02, 1.25206287e+03, 1.07998901e+03],\n", - " [3.90804932e+02, 4.69919006e+02, 4.61586548e+02, 6.32992981e+02],\n", - " [1.01044318e+03, 5.82339249e+01, 1.05071130e+03, 1.73958694e+02],\n", - " [1.85474951e+03, 2.62480865e+02, 1.91462146e+03, 4.45995667e+02],\n", - " [7.20434036e+01, 6.97224915e+02, 1.73635971e+02, 8.93093445e+02],\n", - " [4.35049103e+02, 4.65180481e+02, 5.02661591e+02, 6.05194031e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7344425 , 0.6209385 , 0.4834437 , 0.48679146, 0.87016845,\n", - " 0.75057304, 0.5483433 , 0.64650065, 0.6987432 , 0.6165891 ,\n", - " 0.3925723 , 0.75626487, 0.5923133 , 0.6210421 , 0.678559 ,\n", - " 0.5037846 , 0.4506774 , 0.62601507, 0.52561754, 0.53728795,\n", - " 0.8456347 , 0.51265925, 0.3640512 , 0.7416783 , 0.7073792 ,\n", - " 0.3199532 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77,\n", - " 79, 91, 69, 68, 35, 29, 45, 98, 97, 99, 100, 84, 101]), data={'frame_number': [340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340, 340]}),\n", - " Detections(xyxy=array([[1.27796191e+03, 3.02368665e+00, 1.32701892e+03, 1.22954269e+02],\n", - " [7.48098450e+02, 9.54551697e+01, 8.00296326e+02, 2.31389755e+02],\n", - " [9.32518494e+02, 6.62015808e+02, 1.01069183e+03, 8.46177124e+02],\n", - " [1.16891418e+02, 2.56168884e+02, 1.97251587e+02, 3.99584686e+02],\n", - " [7.61453918e+02, 3.80890778e+02, 8.28843445e+02, 5.35801331e+02],\n", - " [9.47710266e+02, 1.65952896e+02, 1.00796161e+03, 3.05861053e+02],\n", - " [1.67903595e+01, 1.30241165e+02, 7.30428314e+01, 2.52735138e+02],\n", - " [1.54422839e+03, 2.12722282e+01, 1.60864343e+03, 1.45075073e+02],\n", - " [1.56234021e+03, 5.67643799e+02, 1.64354028e+03, 7.46247070e+02],\n", - " [2.10306835e+00, 3.68086884e+02, 7.39602203e+01, 5.28230042e+02],\n", - " [1.75896094e+03, 1.18998863e-01, 1.80820276e+03, 9.54845886e+01],\n", - " [1.41241724e+03, 7.57065369e+02, 1.51046118e+03, 9.39896179e+02],\n", - " [1.68462659e+03, 2.68715233e-01, 1.74361536e+03, 1.01123596e+02],\n", - " [1.79468298e+03, 1.98313885e+01, 1.86261340e+03, 1.97804306e+02],\n", - " [1.60233484e+03, 1.12076244e+01, 1.64755591e+03, 1.25692215e+02],\n", - " [9.86381714e+02, 5.68126221e+02, 1.05537573e+03, 7.34129517e+02],\n", - " [1.01236023e+03, 1.70923843e+02, 1.05874878e+03, 2.94055511e+02],\n", - " [1.38702283e+03, 1.26920843e+01, 1.42972510e+03, 1.48901718e+02],\n", - " [3.34989624e+02, 4.42799255e+02, 3.99730194e+02, 6.01855957e+02],\n", - " [1.05441589e+03, 5.02992783e+01, 1.08782568e+03, 1.64379364e+02],\n", - " [1.10963257e+03, 9.29251099e+02, 1.25161194e+03, 1.07999023e+03],\n", - " [3.91778870e+02, 4.70546814e+02, 4.61863068e+02, 6.32921753e+02],\n", - " [1.01207178e+03, 5.91298485e+01, 1.05257751e+03, 1.74317902e+02],\n", - " [1.85452368e+03, 2.59763885e+02, 1.91465417e+03, 4.42426117e+02],\n", - " [7.40713348e+01, 7.00195435e+02, 1.73339691e+02, 8.93139465e+02],\n", - " [4.30643311e+02, 4.64881470e+02, 4.99401978e+02, 6.04872559e+02]],\n", - " dtype=float32), mask=None, confidence=array([0.7181003 , 0.6340962 , 0.5034675 , 0.431374 , 0.882427 ,\n", - " 0.7826874 , 0.589562 , 0.61368126, 0.6132028 , 0.6212006 ,\n", - " 0.31379288, 0.7623647 , 0.54187846, 0.6230052 , 0.6601951 ,\n", - " 0.5993861 , 0.5459779 , 0.61487955, 0.47823077, 0.47379288,\n", - " 0.84011865, 0.4664001 , 0.40342227, 0.71957475, 0.41631815,\n", - " 0.3101427 ], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", - " 0, 0, 0, 0]), tracker_id=array([ 51, 53, 48, 61, 66, 67, 55, 70, 71, 78, 72, 85, 77,\n", - " 79, 91, 69, 68, 35, 29, 45, 98, 97, 99, 100, 84, 101]), data={'frame_number': [341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341, 341]})]" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "Detections: 341\n", + "Detections(xyxy=array([[1142., 950., 1245., 1080.],\n", + " [ 750., 450., 823., 620.],\n", + " [1419., 702., 1526., 887.],\n", + " [1674., 12., 1727., 141.],\n", + " [1616., 18., 1655., 127.],\n", + " [1388., 2., 1437., 184.]], dtype=float32), mask=None, confidence=array([0.7678498 , 0.7482683 , 0.5502863 , 0.5468636 , 0.5205659 ,\n", + " 0.31684005], dtype=float32), class_id=array([0, 0, 0, 0, 0, 0]), tracker_id=array([365, 348, 359, 354, 361, 28]), data={'class_name': ['person', 'person', 'person', 'person', 'person', 'person'], 'frame_number': [1, 1, 1, 1, 1, 1]})\n" + ] } ], "source": [ "detections_list = json_to_detections(FILE_NAME)\n", - "detections_list" + "detections_list\n", + "\n", + "print(f\"Detections: {len(detections_list)}\")\n", + "print(detections_list[0])" ] }, { @@ -12955,7 +662,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 48, "metadata": { "id": "I18IZQuFrPeN" }, @@ -12993,7 +700,7 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 49, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -13005,7 +712,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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