Sink cookbooks: Fix cell output error
This commit is contained in:
LinasKo
parent
4d12853b95
commit
0ecd88d4d1
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@ -37,7 +37,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 18,
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"metadata": {
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"id": "6vRfXc_Je5Ee"
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},
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@ -72,7 +72,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 19,
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"metadata": {
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"id": "urRjZjh2f30v"
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},
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@ -120,7 +120,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 20,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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@ -161,7 +161,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 21,
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"metadata": {
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"id": "Jpw_TzAsm2oL"
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},
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@ -186,7 +186,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 22,
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"metadata": {
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"id": "-yvv6N1uTKSl"
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},
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@ -211,7 +211,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 23,
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"metadata": {
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"id": "eRQiVkblapCk"
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},
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@ -226,7 +226,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 24,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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@ -256,7 +256,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 25,
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"metadata": {
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"id": "bYpA9VxBsOvS"
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},
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@ -268,7 +268,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 26,
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"metadata": {
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"id": "RrewOF02AYta"
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},
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@ -292,7 +292,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"execution_count": 27,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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@ -490,7 +490,7 @@
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"[9029 rows x 8 columns]"
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]
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},
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"execution_count": 11,
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"execution_count": 27,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -511,7 +511,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": 28,
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"metadata": {
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"id": "aa24sW8FI-xV"
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},
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@ -566,7 +566,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"execution_count": 29,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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@ -12897,7 +12897,7 @@
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" 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']})]"
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]
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},
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"execution_count": 15,
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"execution_count": 29,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -12929,7 +12929,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": 30,
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"metadata": {
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"id": "YRYFmKxR05xG"
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},
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@ -12958,7 +12958,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"execution_count": 31,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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@ -37,7 +37,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 47,
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"metadata": {
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"id": "6vRfXc_Je5Ee"
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},
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@ -72,11 +72,20 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 48,
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"metadata": {
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"id": "urRjZjh2f30v"
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},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"people-walking.mp4 asset download complete. \n",
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"\n"
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]
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}
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],
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"source": [
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"SOURCE_VIDEO_PATH = download_assets(VideoAssets.PEOPLE_WALKING)\n",
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"CONFIDENCE_THRESHOLD = 0.3\n",
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@ -112,7 +121,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 49,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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@ -150,7 +159,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 50,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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@ -165,7 +174,7 @@
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"VideoInfo(width=1920, height=1080, fps=25, total_frames=341)"
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]
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},
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"execution_count": 4,
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"execution_count": 50,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -187,7 +196,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 51,
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"metadata": {
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"id": "Jpw_TzAsm2oL"
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},
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@ -212,7 +221,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 52,
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"metadata": {
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"id": "-yvv6N1uTKSl"
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},
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@ -237,7 +246,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 43,
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"execution_count": 53,
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"metadata": {
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"id": "eRQiVkblapCk"
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},
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@ -252,7 +261,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 44,
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"execution_count": 54,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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@ -273,7 +282,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 45,
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"execution_count": 55,
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"metadata": {
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"id": "bYpA9VxBsOvS"
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},
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@ -285,25 +294,11 @@
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},
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{
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"cell_type": "code",
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"execution_count": 46,
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"execution_count": 56,
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"metadata": {
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"id": "KXbZt-FNVnrS"
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},
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"outputs": [
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{
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"ename": "ValueError",
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"evalue": "I/O operation on closed file.",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[46], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mjson_sink\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwrite_and_close\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
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"File \u001b[0;32m~/rf/pr/supervision-json-csv-sink-cookbook/supervision/detection/tools/json_sink.py:90\u001b[0m, in \u001b[0;36mJSONSink.write_and_close\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 83\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 84\u001b[0m \u001b[38;5;124;03mWrite and close the JSON file.\u001b[39;00m\n\u001b[1;32m 85\u001b[0m \n\u001b[1;32m 86\u001b[0m \u001b[38;5;124;03mReturns:\u001b[39;00m\n\u001b[1;32m 87\u001b[0m \u001b[38;5;124;03m None\u001b[39;00m\n\u001b[1;32m 88\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 89\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfile:\n\u001b[0;32m---> 90\u001b[0m \u001b[43mjson\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdump\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindent\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m4\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 91\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfile\u001b[38;5;241m.\u001b[39mclose()\n",
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"File \u001b[0;32m~/.pyenv/versions/3.10.14/lib/python3.10/json/__init__.py:180\u001b[0m, in \u001b[0;36mdump\u001b[0;34m(obj, fp, skipkeys, ensure_ascii, check_circular, allow_nan, cls, indent, separators, default, sort_keys, **kw)\u001b[0m\n\u001b[1;32m 177\u001b[0m \u001b[38;5;66;03m# could accelerate with writelines in some versions of Python, at\u001b[39;00m\n\u001b[1;32m 178\u001b[0m \u001b[38;5;66;03m# a debuggability cost\u001b[39;00m\n\u001b[1;32m 179\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m chunk \u001b[38;5;129;01min\u001b[39;00m iterable:\n\u001b[0;32m--> 180\u001b[0m \u001b[43mfp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwrite\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchunk\u001b[49m\u001b[43m)\u001b[49m\n",
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"\u001b[0;31mValueError\u001b[0m: I/O operation on closed file."
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]
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}
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],
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"outputs": [],
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"source": [
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"json_sink.write_and_close()"
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]
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@ -323,7 +318,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 57,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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@ -521,7 +516,7 @@
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"[9029 rows x 8 columns]"
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]
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},
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"execution_count": 12,
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"execution_count": 57,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -542,7 +537,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 58,
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"metadata": {
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"id": "iwJf7PW6eLkU"
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},
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@ -597,7 +592,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 59,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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@ -12928,7 +12923,7 @@
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" 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]})]"
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]
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},
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"execution_count": 30,
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"execution_count": 59,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -12960,7 +12955,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 60,
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"metadata": {
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"id": "I18IZQuFrPeN"
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},
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@ -12998,7 +12993,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 61,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/",
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