updates
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@ -499,7 +499,7 @@ class LoadImagesAndLabels(Dataset): # for training/testing
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@staticmethod
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@staticmethod
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def collate_fn(batch):
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def collate_fn(batch):
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img, label, path, shapes = list(zip(*batch)) # transposed
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img, label, path, shapes = zip(*batch) # transposed
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for i, l in enumerate(label):
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for i, l in enumerate(label):
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l[:, 0] = i # add target image index for build_targets()
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l[:, 0] = i # add target image index for build_targets()
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return torch.stack(img, 0), torch.cat(label, 0), path, shapes
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return torch.stack(img, 0), torch.cat(label, 0), path, shapes
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