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Merge pull request #1880 from roboflow/docs/cookbook-updates 

chore: 🧹 removal of version constraint, using latest bbox annotator and removal of asset extra from installations
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Piotr Skalski 2025-07-11 14:10:32 +02:00 committed by GitHub
parent 20066174e5 bf2a67b85b
commit 8c581e4855
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10 changed files with 58 additions and 59 deletions
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5
docs/notebooks/annotate-video-with-detections.ipynb vendored
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@ -93,7 +93,7 @@
},
"outputs": [],
"source": [
"!pip install -q inference-gpu \"supervision[assets]\""
"!pip install -q inference-gpu \"supervision\""
]
},
{
@ -156,7 +156,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
@ -207,7 +207,6 @@
],
"source": [
"import supervision as sv\n",
"from supervision.assets import download_assets, VideoAssets\n",
"from inference.models.utils import get_roboflow_model\n",
"\n",
"\n",

38
docs/notebooks/count-objects-crossing-the-line.ipynb vendored
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4
docs/notebooks/download-supervision-assets.ipynb vendored
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@ -17,7 +17,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": null,
"metadata": {
"vscode": {
"languageId": "shellscript"
@ -25,7 +25,7 @@
},
"outputs": [],
"source": [
"!pip install -q \"supervision[assets]\""
"pip install -q \"supervision\""
]
},
{

2
docs/notebooks/evaluating-alignment-of-text-to-image-diffusion-models.ipynb vendored
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@ -101,7 +101,7 @@
},
"outputs": [],
"source": [
"!pip install -q torch diffusers accelerate inference-gpu[yolo-world] dill git+https://github.com/openai/CLIP.git supervision==0.19.0rc5"
"!pip install -q torch diffusers accelerate inference-gpu[yolo-world] dill git+https://github.com/openai/CLIP.git supervision"
]
},
{

2
docs/notebooks/object-tracking.ipynb vendored
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@ -92,7 +92,7 @@
},
"outputs": [],
"source": [
"!pip install -q inference-gpu \"supervision[assets]\""
"!pip install -q inference-gpu \"supervision\""
]
},
{

2
docs/notebooks/occupancy_analytics.ipynb vendored
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@ -72,7 +72,7 @@
},
"outputs": [],
"source": [
"!pip install roboflow supervision==0.19.0 -q"
"!pip install roboflow supervision -q"
]
},
{

10
docs/notebooks/quickstart.ipynb vendored
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@ -300,7 +300,7 @@
},
"outputs": [],
"source": [
"!pip install -q \"ultralytics<=8.3.40\""
"!pip install -q ultralytics"
]
},
{
@ -495,7 +495,7 @@
"source": [
"from ultralytics import YOLO\n",
"\n",
"model = YOLO(\"yolov8x.pt\")\n",
"model = YOLO(\"yolo11x.pt\")\n",
"result = model(image, verbose=False)[0]\n",
"detections = sv.Detections.from_ultralytics(result)"
]
@ -594,7 +594,7 @@
},
{
"cell_type": "code",
"execution_count": 33,
"execution_count": null,
"metadata": {
"id": "yM6dmicTRGl6"
},
@ -602,7 +602,7 @@
"source": [
"from ultralytics import YOLO\n",
"\n",
"model = YOLO(\"yolov8x-seg.pt\")\n",
"model = YOLO(\"yolo11x-seg.pt\")\n",
"result = model(image, verbose=False)[0]\n",
"detections = sv.Detections.from_ultralytics(result)"
]
@ -926,7 +926,7 @@
},
"outputs": [],
"source": [
"!pip install -q supervision[assets]"
"!pip install -q supervision"
]
},
{

28
docs/notebooks/serialise-detections-to-csv.ipynb vendored
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8
docs/notebooks/serialise-detections-to-json.ipynb vendored
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@ -32,7 +32,7 @@
},
"outputs": [],
"source": [
"!pip install -q inference requests tqdm supervision==0.21.0"
"!pip install -q inference requests tqdm supervision"
]
},
{
@ -695,12 +695,12 @@
"source": [
"###\u00a0Annotate Image with Detections\n",
"\n",
"Finally, we can annotate the image with the predictions. Since we are working with an object detection model, we will use the [`sv.BoundingBoxAnnotator`](https://supervision.roboflow.com/latest/detection/annotators/#supervision.annotators.core.BoundingBoxAnnotator) and [`sv.LabelAnnotator`](https://supervision.roboflow.com/latest/detection/annotators/#supervision.annotators.core.LabelAnnotator) classes."
"Finally, we can annotate the image with the predictions. Since we are working with an object detection model, we will use the [`sv.BoxAnnotator`](https://supervision.roboflow.com/latest/detection/annotators/#supervision.annotators.core.BoxAnnotator) and [`sv.LabelAnnotator`](https://supervision.roboflow.com/latest/detection/annotators/#supervision.annotators.core.LabelAnnotator) classes."
]
},
{
"cell_type": "code",
"execution_count": 49,
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
@ -722,7 +722,7 @@
}
],
"source": [
"bounding_box_annotator = sv.BoundingBoxAnnotator()\n",
"bounding_box_annotator = sv.BoxAnnotator()\n",
"label_annotator = sv.LabelAnnotator()\n",
"\n",
"annotated_frame = frame.copy()\n",

18
docs/theme/cookbooks.html vendored
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@ -12,15 +12,15 @@
</div>
<div class="custom-grid">
<a href="/develop/notebooks/quickstart"> <p class="card repo-card" data-name="Supervision Quickstart" data-labels="ANNOTATOR,DETECTION,SAM"
data-version="v0.18.0" data-author="SkalskiP,onuralpszr"></p>
data-version="v0.26.0" data-author="SkalskiP,onuralpszr"></p>
</a>
<a href="/develop/notebooks/count-objects-crossing-the-line">
<p class="card repo-card" data-name="Count Objects Crossing the Line"
data-labels="ANNOTATORS,LINE ZONE,TRACKING" data-version="v0.18.0" data-author="SkalskiP"></p>
data-labels="ANNOTATORS,LINE ZONE,TRACKING" data-version="v0.26.0" data-author="SkalskiP"></p>
</a>
<a href="/develop/notebooks/zero-shot-object-detection-with-yolo-world">
<p class="card repo-card" data-name="Zero-Shot Object Detection with YOLO-World"
data-labels="ANNOTATORS,DETECTION,INFERENCE" data-version="v0.19.0" data-author="SkalskiP"></p>
data-labels="ANNOTATORS,DETECTION,INFERENCE" data-version="v0.26.0" data-author="SkalskiP"></p>
</a>
<a href="/develop/notebooks/download-supervision-assets">
<p class="card repo-card" data-name="Downloading Supervision Assets" data-labels="ASSETS" data-version="v0.18.0"
@ -28,7 +28,7 @@
</a>
<a href="/develop/notebooks/annotate-video-with-detections">
<p class="card repo-card" data-name="Annotate Video with Detections" data-labels="INFERENCE,YOLOV8"
data-version="v0.18.0" data-author="nickherrig"></p>
data-version="v0.26.0" data-author="nickherrig"></p>
</a>
<a href="/develop/notebooks/object-tracking">
<p class="card repo-card" data-name="Object Tracking" data-labels="TRACKING, ANNOTATOR" data-version="v0.18.0"
@ -36,23 +36,23 @@
</a>
<a href="/develop/notebooks/occupancy_analytics">
<p class="card repo-card" data-name="Analyzing Zone Occupancy" data-labels="ANNOTATOR,DETECTION,ZONES"
data-version="v0.19.0" data-author="stellasphere"></p>
data-version="v0.26.0" data-author="stellasphere"></p>
</a>
<a href="/develop/notebooks/evaluating-alignment-of-text-to-image-diffusion-models">
<p class="card repo-card" data-name="Evaluating Alignment of Text-to-image Diffusion Models"
data-labels="ANNOTATORS,YOLO WORLD" data-version="v0.19.0rc5" data-author="iamhatesz"></p>
data-labels="ANNOTATORS,YOLO WORLD" data-version="v0.26.0" data-author="iamhatesz"></p>
</a>
<a href="/develop/notebooks/serialise-detections-to-csv">
<p class="card repo-card" data-name="Serialise Detections to a CSV File"
data-labels="DETECTIONS,CSV SINK,INFERENCE" data-version="v0.21.0" data-author="onuralpszr"></p>
data-labels="DETECTIONS,CSV SINK,INFERENCE" data-version="v0.26.0" data-author="onuralpszr"></p>
</a>
<a href="/develop/notebooks/serialise-detections-to-json">
<p class="card repo-card" data-name="Serialise Detections to a JSON File"
data-labels="DETECTIONS,JSON SINK,INFERENCE" data-version="v0.21.0" data-author="onuralpszr"></p>
data-labels="DETECTIONS,JSON SINK,INFERENCE" data-version="v0.26.0" data-author="onuralpszr"></p>
</a>
<a href="/develop/notebooks/small-object-detection-with-sahi">
<p class="card repo-card" data-name="Small Object Detection with SAHI"
data-labels="DETECTIONS,SAHI,SMALL,OBJECT,INFERENCE" data-version="v0.23.0" data-author="ediardo"></p>
data-labels="DETECTIONS,SAHI,SMALL,OBJECT,INFERENCE" data-version="v0.26.0" data-author="ediardo"></p>
</a>
</div>
</div>