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@ -47,8 +47,8 @@ HS**V** Intensity | +/- 50%
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Checkpoints are saved in `/checkpoints` directory. Run `detect.py` to apply trained weights to an image, such as `zidane.jpg` from the `data/samples` folder, shown here. Alternatively you can use the official YOLOv3 weights:
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-PyTorch format: https://storage.googleapis.com/ultralytics/yolov3.pt
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-darknet format: https://pjreddie.com/media/files/yolov3.weights
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- PyTorch format: https://storage.googleapis.com/ultralytics/yolov3.pt
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- darknet format: https://pjreddie.com/media/files/yolov3.weights
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![Alt](https://github.com/ultralytics/yolov3/blob/master/data/zidane_result.jpg "inference example")
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