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Installation

Requirements

  • Linux with Python ≥ 3.6
  • PyTorch ≥ 1.9 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

CUDA kernel for MSDeformAttn

After preparing the required environment, run the following command to compile CUDA kernel for MSDeformAttn:

CUDA_HOME must be defined and points to the directory of the installed CUDA toolkit.

cd maskdino/modeling/pixel_decoder/ops
sh make.sh

Building on another system

To build on a system that does not have a GPU device but provide the drivers:

TORCH_CUDA_ARCH_LIST='8.0' FORCE_CUDA=1 python setup.py build install

Example conda environment setup

conda create --name maskdino python=3.8 -y
conda activate maskdino
conda install pytorch==1.9.0 torchvision==0.10.0 cudatoolkit=11.1 -c pytorch -c nvidia
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/MaskDINO.git
cd MaskDINO
pip install -r requirements.txt
cd maskdino/modeling/pixel_decoder/ops
sh make.sh