Implemented argparse for general_JSON2YOLO and update readem with an "How to use" section #11
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Was gonna submit a pr to do the same thing; CLI arguments make this so much more usable. Would be great for using this in pipelines involving COCO annotation files! |
hlydecker
reviewed
Apr 12, 2022
| source = 'coco' | ||
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| parser = argparse.ArgumentParser() | ||
| parser.add_argument('-json_dir', action='store', help='please include the full path of the folder with bounding boxes (.json)', type=str) |
Member
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That's great to hear! Adding CLI arguments does indeed improve usability, especially for integration into annotation pipelines. Your contribution would be much appreciated. Thank you for feedback! |
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🛠️ PR Summary
Made with ❤️ by Ultralytics Actions
📊 Key Changes
argparseingeneral_json2yolo.pyto handle command-line arguments.README.mdwith a new "How to use" section.argparseto therequirements.txtfile.🎯 Purpose & Impact
argparseallows users to specify parameters likejson_dirandsourcedirectly from the command line. This increases flexibility and usability for different datasets.README.mdprovides clear instructions on how to use the tool, improving accessibility for new users.argparsein requirements ensures users will have the necessary packages installed.🌟 Summary
🛠️ The PR enhances the JSON2YOLO tool by adding command-line functionality and user guidance in the documentation.