Following https://mmdetection3d.readthedocs.io/en/latest/getting_started.html#installation
a. Create a conda virtual environment and activate it.
conda create -n mapqr python=3.8 -y
conda activate mapqr
b. Install PyTorch and torchvision following the official instructions.
pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html
# Recommended torch>=1.9
c. Install gcc>=5 in conda env (optional).
conda install -c omgarcia gcc-5 # gcc-6.2
c. Install mmcv-full.
pip install mmcv-full==1.4.0
# pip install mmcv-full==1.4.0 -f https://download.openmmlab.com/mmcv/dist/cu111/torch1.9.0/index.html
d. Install mmdet and mmseg.
pip install mmdet==2.14.0
pip install mmsegmentation==0.14.1
e. Install timm.
pip install timm
f. Clone MapQR.
git clone git@github.com:HXMap/MapQR.git
g. Install mmdet3d and GKT
cd /path/to/MapQR/mmdetection3d
python setup.py develop
cd /path/to/MapQR/projects/mmdet3d_plugin/maptr/modules/ops/geometric_kernel_attn
python setup.py build install
h. Install other requirements.
cd /path/to/MapQR
pip install -r requirement.txt
i. Prepare pretrained models.
cd /path/to/MapQR
mkdir ckpts
cd ckpts
wget https://download.pytorch.org/models/resnet50-19c8e357.pth