updates
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@ -367,7 +367,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
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b[[1, 3]] = np.clip(b[[1, 3]], 0, h)
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b[[1, 3]] = np.clip(b[[1, 3]], 0, h)
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assert cv2.imwrite(f, img[b[1]:b[3], b[0]:b[2]]), 'Failure extracting classifier boxes'
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assert cv2.imwrite(f, img[b[1]:b[3], b[0]:b[2]]), 'Failure extracting classifier boxes'
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else:
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else:
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ne += 1 # file empty
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ne += 1 # print('empty labels for image %s' % self.img_files[i]) # file empty
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pbar.desc = 'Reading labels (%g found, %g missing, %g empty for %g images)' % (nf, nm, ne, n)
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pbar.desc = 'Reading labels (%g found, %g missing, %g empty for %g images)' % (nf, nm, ne, n)
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assert nf > 0, 'No labels found. Recommend correcting image and label paths.'
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assert nf > 0, 'No labels found. Recommend correcting image and label paths.'
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