#3.10 is the latest supported by MMPOSE
conda create -n mmpose python=3.10 -y
conda activate mmpose

# find your max. cuda version
nvidia-smi

# We need torch 2.1.x for mmcv 2.1.0, so here's an example using cuda 12.1
# this is what was used on sentry laptop
pip install torch==2.1.2 torchvision==0.16.2 --index-url https://download.pytorch.org/whl/cu121

# mmpose dependencies
pip install -U openmim
mim install mmengine
mim install "mmcv==2.1.0"
mim install "mmdet==3.2.0"
mim install "mmpose==1.2.0"
pip install "numpy<2"
pip install "opencv-python==4.11.0.86"

This installation is referenced in each launchfile by finding the location of your conda base environment, then finding an environment named "mmpose" - if you use a different name, you must change each launch file.