AlphaPose Model

#주제

WSL에서 AlphaPose 모델 돌리기

#설명

RGB에서 바로 3D 모델을 만드는 M3DHPE(Monocular 3D Human Pose Estimation) 모델은 주로 8GB가 넘었다.
그래서 찾은 것이 2D Pose를 먼저 추출하고, 그것을 3D로 변환하는 방법이다.

#환경

• Window 11
• WSL 2.0

#코드

원본 Installation 코드는 아래와 같다.
github
논문

#실행 코드

# pip install 방법 (AlphaPose 원래)
# 1. Install PyTorch
pip3 install torch torchvision --extra-index-url https://download.pytorch.org/whl/cu12.6
# Check torch environment by:  python3 -m torch.utils.collect_env

# 2. Get AlphaPose
git clone https://github.com/MVIG-SJTU/AlphaPose.git
cd AlphaPose
export PATH=/usr/local/cuda/bin/:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64/:$LD_LIBRARY_PATH
pip install cython
sudo apt-get install libyaml-dev

# 4. 이대로 
python -m pip install cython
pip install ninja easydict matplotlib opencv-python tensorboardx terminaltables visdom numpy scipy pyyaml cython_bbox

sudo apt-get install libyaml-dev
pip install --upgrade pip setuptools wheel
pip3 install git+https://github.com/Ambrosiussen/HalpeCOCOAPI.git#subdirectory=PythonAPI

python setup.py build develop

# 4. Install PyTorch3D (Optional, only for visualization)
conda install -c fvcore -c iopath -c conda-forge fvcore iopath
conda install -c bottler nvidiacub
pip install git+ssh://git@github.com/facebookresearch/pytorch3d.git@stable

# Create Pyenv virtual environment
pyenv install 3.9.21
pyenv virtualenv 3.9.21 alphapose
pyenv activate alphapose

# Install PyTorch libraries