We recommend using conda, this eases some dependencies with cuda for running all the available submodules in this repo.
conda create --name <env_name> python=3.8 -y
conda activate <env_name>
conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch-lts -c nvidia
git submodule sync --recursive
git submodule update --init --recursive
Note: adapted from Detic docs
- Linux or macOS with Python ≥ 3.6
- PyTorch ≥ 1.8. 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.
cd detectron2
pip install -e .
cd ..
cd Detic
pip install -r requirements.txt
Our project uses two submodules, CenterNet2 and Deformable-DETR. If you forget to add --recurse-submodules
, do git submodule init
and then git submodule update
. To train models with Deformable-DETR (optional), we need to compile it
cd third_party/Deformable-DETR/models/ops
./make.sh