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                        Which tools do I use to build an automatic drift detection system around the YOLOv5 model?
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Question
I am trying to run the YOLOv5 model on live Youtube Streams and save images for annotation only when I detect something unusual in the image. How do I automate this process? Any help and / or suggestion would be valuable. I am trying to set up drift detection but I'm not sure how to do it or if it would solve my problem.
Thanks
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Requirements
Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:
git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install
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drift detection? Drift of a car? Inference data distribution drift?
@Robotatron inference data distribution drift
👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.
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