《Depth Anything V3》
网址：https://github.com/ByteDance-Seed/Depth-Anything-3

# 1. 配置
gh repo clone ByteDance-Seed/Depth-Anything-3
cd Depth-Anything-3
conda create -n da3 python=3.12 -y
conda activate da3
conda install -c nvidia cudatoolkit=11.8
conda install -c nvidia cuda-nvcc=11.8
conda install -c "nvidia/label/cuda-11.8.0" cuda-toolkit
# 0. 请确认 11.8 编译器确实存在于您的 Conda 环境文件夹中： If this prints a path (e.g., /home/.../envs/REG/bin/nvcc), proceed to step 1
ls $CONDA_PREFIX/bin/nvcc
# 1. Force the shell to prioritize your Conda bin directory
export PATH=$CONDA_PREFIX/bin:$PATH
# 2. Explicitly tell the build script where CUDA is located
export CUDA_HOME=$CONDA_PREFIX
# 3. Check the version again - it MUST say 11.8 now
nvcc -V

# cuda version need to be same with `nvcc --version` for gsplat
pip install torch==2.7.1 torchvision==0.22.1 --index-url https://download.pytorch.org/whl/cu118
pip install -e .
pip install --no-build-isolation 'git+https://github.com/nerfstudio-project/gsplat.git@0b4dddf04cb687367602c01196913cde6a743d70'

# 2. 下载深度预训练模型
mkdir checkpoints
mkdir checkpoints/DA3MONO-LARGE
https://huggingface.co/depth-anything/DA3MONO-LARGE
mkdir checkpoints/DA3METRIC-LARGE
mkdir checkpoints/DA3-SMALL
mkdir checkpoints/DA3-BASE
mkdir checkpoints/DA3-LARGE
mkdir checkpoints/DA3-GIANT
mkdir checkpoints/DA3NESTED-GIANT-LARGE