Update detect.py
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496ec33a33
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8c5b6220f5
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@ -80,7 +80,7 @@ def detect(save_img=False):
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p, s, im0 = path, '', im0s
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save_path = str(Path(out) / Path(p).name)
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txt_path = save_path[:save_path.rfind('.')] + ('_%g' % dataset.frame if dataset.mode == 'video' else '')
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txt_path = str(Path(out) / Path(p).stem) + ('_%g' % dataset.frame if dataset.mode == 'video' else '')
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s += '%gx%g ' % img.shape[2:] # print string
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gn = torch.tensor(im0.shape)[[1, 0, 1, 0]] # normalization gain whwh
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if det is not None and len(det):
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