fix mmseg version

INSTALL.md

@@ -1,6 +1,6 @@
 # Installation
 
-Please install [PyTorch](https://pytorch.org/) and download the [ImageNet](https://imagenet.stanford.edu/) dataset. This codebase has been developed with python version 3.6, PyTorch version 1.7.1, CUDA 11.0 and torchvision 0.8.2. This repository should be used with [Swin-Transformer-Object-Detection](https://github.com/SwinTransformer/Swin-Transformer-Object-Detection), [mmsegmentation](https://github.com/open-mmlab/mmsegmentation), and [cyanure](https://github.com/jmairal/cyanure) for evaluation on downstream tasks. To get the full dependencies, please run:
+Please install [PyTorch](https://pytorch.org/) and download the [ImageNet](https://imagenet.stanford.edu/) dataset. This codebase has been developed with python version 3.6, PyTorch version 1.7.1, CUDA 11.0 and torchvision 0.8.2. This repository should be used with [Swin-Transformer-Object-Detection](https://github.com/SwinTransformer/Swin-Transformer-Object-Detection), [mmsegmentation==0.12.0](https://github.com/open-mmlab/mmsegmentation/releases/tag/v0.12.0), and [cyanure](https://github.com/jmairal/cyanure) for evaluation on downstream tasks. To get the full dependencies, please run:
 
 ```
 pip3 install -f https://download.openmmlab.com/mmcv/dist/cu110/torch1.7.1/index.html mmcv-full==1.3.9
@@ -17,8 +17,8 @@ pip3 install -r requirements/build.txt
 pip3 install -v -e .
 cd ..
 
-# install mmsegmentation for semantic segmentation
-git clone https://github.com/open-mmlab/mmsegmentation
+# install mmsegmentation==0.12.0 for semantic segmentation
+git clone -b v0.12.0 https://github.com/open-mmlab/mmsegmentation
 cd mmsegmentation
 pip3 install -v -e .
 cd ..
@@ -29,4 +29,4 @@ git clone https://github.com/jmairal/cyanure.git
 cd cyanure
 sudo python3 setup_cyanure_mkl.py install
 cd ..
-```
+```