export.py update
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detect.py
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detect.py
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@ -156,9 +156,9 @@ if __name__ == '__main__':
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print(opt)
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with torch.no_grad():
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# detect()
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detect()
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# Update all models
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for opt.weights in ['yolov5s.pt', 'yolov5m.pt', 'yolov5l.pt', 'yolov5x.pt', 'yolov3-spp.pt']:
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detect()
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create_pretrained(opt.weights, opt.weights)
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# # Update all models
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# for opt.weights in ['yolov5s.pt', 'yolov5m.pt', 'yolov5l.pt', 'yolov5x.pt', 'yolov3-spp.pt']:
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# detect()
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# create_pretrained(opt.weights, opt.weights)
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