Skip to content

Latest commit

 

History

History
executable file
·
46 lines (39 loc) · 1.58 KB

INSTALL.md

File metadata and controls

executable file
·
46 lines (39 loc) · 1.58 KB
Raw

Installation

For more detail, please refer to VITA.

Requirements

  • Linux or macOS 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 mask2former/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 vita python=3.8 -y
conda activate vita
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 .

cd ..
git clone https://github.com/sukjunhwang/VITA.git
cd VITA
pip install -r requirements.txt
cd mask2former/modeling/pixel_decoder/ops
sh make.sh