- Linux or macOS with Python ≥ 3.6
- PyTorch ≥ 1.7 and torchvision that matches the PyTorch installation. Install them together at pytorch.org to make sure of this. Note, please check PyTorch version matches that is required by Detectron2.
- Detectron2: follow Detectron2 installation instructions.
- OpenCV is optional but needed by demo and visualization
pip install -r requirements.txt
After preparing the required environment, run the following command to compile CUDA kernel for MSDeformAttn:
cd mask2former/modeling/pixel_decoder/ops
sh make.sh
conda create --name mask2former python=3.8 -y
conda activate mask2former
pip3 install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html
pip install -U opencv-python
# under your working directory
git clone [email protected]:facebookresearch/detectron2.git
cd detectron2
pip install -e .
pip install git+https://github.com/cocodataset/panopticapi.git
pip install git+https://github.com/mcordts/cityscapesScripts.git
cd ..
git clone [email protected]:facebookresearch/Mask2Former.git
cd Mask2Former
pip install -r requirements.txt
cd mask2former/modeling/pixel_decoder/ops
sh make.sh