updates
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@ -195,7 +195,9 @@ class LoadImagesAndLabels(Dataset): # for training/testing
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try:
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try:
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with open(file, 'r') as f:
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with open(file, 'r') as f:
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self.labels[i] = np.array([x.split() for x in f.read().splitlines()], dtype=np.float32)
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self.labels[i] = np.array([x.split() for x in f.read().splitlines()], dtype=np.float32)
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assert self.labels[i].shape[1] == 5, 'corrupted labels file: %s' % file
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except:
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except:
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print('Warning: missing labels for %s' % self.img_files[i])
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pass # missing label file
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pass # missing label file
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def __len__(self):
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def __len__(self):
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