conda create -n garmagenet python=3.10 -y
conda activate garmagenet
然后把requirements.txt的23行的~=改成==,删除chamferdist和nvdiffrast那一行,保存,
pip install -r requirements.txt
去https://github.com/NVlabs/nvdiffrast下载压缩包解压到当前目录
cd nvdiffrast-main
pip install setuptools wheel ninja
export FORCE_CUDA=1
export CUDA_HOME=$CONDA_PREFIX
pip install git+https://github.com/NVlabs/nvdiffrast.git@v0.3.3 --no-build-isolation #(没下到本地就用这个)
cd ..
去https://github.com/krrish94/chamferdist下载解压,cd到这个文件夹
sudo apt-get update
sudo apt-get install build-essential devscripts
conda install -c conda-forge gxx_linux-64 gcc_linux-64
# 1. 设置系统标准编译器路径
export CC=/usr/bin/gcc
export CXX=/usr/bin/g++
# 2. 补全 CUDA 路径(假设你的 CUDA 安装在 /usr/local/cuda)
export CUDA_HOME=/usr/local/cuda
export PATH=$CUDA_HOME/bin:$PATH
export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
# 3. 增加头文件搜索路径防止找不到 cuda_runtime.h
export CPATH=$CUDA_HOME/include:$CPATH
pip install . --no-build-isolation