Add aspect ratio model #604
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Summary: Pull Request resolved: facebookresearch#604 X-link: facebookresearch/detectron2#5048 Unet support different aspect ratio by natural. For training we need to make change to group images with similar aspect ratio into the same batch and do padding/cropping. For inference, we need to change start_code dimension accordingly. Here is a result showing 1:1 and 16:9 inference are similar. It supports the mixed training decision. N4024922 Differential Revision: D47682434 fbshipit-source-id: ee2554fd7248f628cf41ce29dedcf4d542d12baa
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Summary: X-link: facebookresearch/d2go#604 Pull Request resolved: facebookresearch#5048 Unet support different aspect ratio by natural. For training we need to make change to group images with similar aspect ratio into the same batch and do padding/cropping. For inference, we need to change start_code dimension accordingly. Here is a result showing 1:1 and 16:9 inference are similar. It supports the mixed training decision. N4024922 Differential Revision: D47682434 fbshipit-source-id: bc9578b7167c475d48b385ce472b7aa8baeae7c6
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Summary: Pull Request resolved: facebookresearch#604 X-link: facebookresearch/detectron2#5048 Unet support different aspect ratio by natural. For training we need to make change to group images with similar aspect ratio into the same batch and do padding/cropping. For inference, we need to change start_code dimension accordingly. Here is a result showing 1:1 and 16:9 inference are similar. It supports the mixed training decision. N4024922 Differential Revision: D47682434 fbshipit-source-id: 2478a64775717cb178e525ac127232a24f1d40a3
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Summary: Pull Request resolved: facebookresearch#604 X-link: facebookresearch/detectron2#5048 Unet support different aspect ratio by natural. For training we need to make change to group images with similar aspect ratio into the same batch and do padding/cropping. For inference, we need to change start_code dimension accordingly. Here is a result showing 1:1 and 16:9 inference are similar. It supports the mixed training decision. N4024922 Differential Revision: D47682434 fbshipit-source-id: f79591180098fd67d4e443976410f63f9e39a432
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Summary:
X-link: facebookresearch/detectron2#5048
Unet support different aspect ratio by natural. For training we need to make change to group images with similar aspect ratio into the same batch and do padding/cropping. For inference, we need to change start_code dimension accordingly.
Here is a result showing 1:1 and 16:9 inference are similar. It supports the mixed training decision. N4024922
Differential Revision: D47682434