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Just a typo (#8341)
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gallery/transforms/plot_transforms_e2e.py

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@@ -151,8 +151,8 @@
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# We need a custom collation function here, since the object detection
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# models expect a sequence of images and target dictionaries. The default
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# collation function tries to torch.stack() the individual elements,
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# which fails in general for object detection, because the number of bouding
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# boxes varies between the images of a same batch.
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# which fails in general for object detection, because the number of bounding
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# boxes varies between the images of the same batch.
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collate_fn=lambda batch: tuple(zip(*batch)),
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)
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