Added yolo detection notebook #3080
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Added notebook verified that it runs as expected created readme
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matched overall style to other notebooks with cell and step descriptions
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@aleksandr-mokrov Hey Aleksander - could you take a look at this PR? |
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Line #1. %pip install -q "openvino>=2023.1.0" "ultralytics==8.3.0" opencv-python matplotlib Pillow ipywidgets --extra-index-url https://download.pytorch.org/whl/cpu
Update please openvino version to the latest release: 2025.3
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YOLOv11n-cls -> YOLOv11n-cls to pass the spell-check or add the word cls to .ci\spellcheck\.pyspelling.wordlist.txt
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Don't add please image in the repo. You can add the images to any comment in PR and use that link for downloading.
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Line #3. if detect_device.value != "CPU":
Could you try to use intel device for inference for detect and classification models, like it is in yolov11-object-detection (without quantization):
res = det_model(IMAGE_PATH, device=f"intel:{device.value.lower()}")
It should simplify and reduce the number of extra code lines.
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Added notebook
verified that it runs as expected
created readme