Merge branch 'main' of https://github.com/SHI-Labs/OneFormer

quacrobat · Nov 14, 2022 · 8fa8e45 · 8fa8e45
2 parents ddcd5bf + 13e817d
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diff --git a/INSTALL.md b/INSTALL.md
@@ -10,6 +10,7 @@ We use an evironment with the following specifications, packages and dependencie
 - [PyTorch v1.10.1](https://pytorch.org/get-started/previous-versions/)
 - [Torchvision v0.11.2](https://pytorch.org/get-started/previous-versions/)
 - [Detectron2 v0.6](https://github.com/facebookresearch/detectron2/releases/tag/v0.6)
+- [NATTEN v0.14.4](https://github.com/SHI-Labs/NATTEN/releases/tag/v0.14.4)
 
 ## Setup Instructions
 

diff --git a/README.md b/README.md
@@ -126,4 +126,4 @@ If you found OneFormer useful in your research, please consider starring ⭐ us
 
 ## Acknowledgement
 
-We thank the authors of [Mask2Former](https://github.com/facebookresearch/Mask2Former), [GroupViT](https://github.com/NVlabs/GroupViT), and [Neighborhood-Attention-Transformer](https://github.com/SHI-Labs/Neighborhood-Attention-Transformer) for releasing their helpful codebases.
+We thank the authors of [Mask2Former](https://github.com/facebookresearch/Mask2Former), [GroupViT](https://github.com/NVlabs/GroupViT), and [Neighborhood Attention Transformer](https://github.com/SHI-Labs/Neighborhood-Attention-Transformer) for releasing their helpful codebases.
diff --git a/requirements.txt b/requirements.txt
@@ -17,4 +17,4 @@ pytorch_lightning==1.6.4
 tqdm==4.64.0
 mmcv==1.6.2
 -f https://shi-labs.com/natten/wheels/cu113/torch1.10.1/index.html
-natten==0.14.2
+natten==0.14.4
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Expand Up		@@ -126,4 +126,4 @@ If you found OneFormer useful in your research, please consider starring ⭐ us

		## Acknowledgement

		We thank the authors of [Mask2Former](https://github.com/facebookresearch/Mask2Former), [GroupViT](https://github.com/NVlabs/GroupViT), and [Neighborhood-Attention-Transformer](https://github.com/SHI-Labs/Neighborhood-Attention-Transformer) for releasing their helpful codebases.
		We thank the authors of [Mask2Former](https://github.com/facebookresearch/Mask2Former), [GroupViT](https://github.com/NVlabs/GroupViT), and [Neighborhood Attention Transformer](https://github.com/SHI-Labs/Neighborhood-Attention-Transformer) for releasing their helpful codebases.