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Example workflow involving YoloV5. See this blog post for more instructions: XX. The main entry point is yolov5/prepare_dataset.py, which downloads a dataset, preps it for YoloV5, and downloads pretrained weights files. Roughly, you'll need to follow these steps:

  • Clone YoloV5 from within the YoloV5 repository, i.e. git clone [email protected]:ultralytics/yolov5.git
  • Install libs from YoloV5's requirements.txt
  • Run python prepare_dataset.py to download WiderFace data from HuggingFace. You can then use YoloV5 training/inference CLI as expected.