36 lines
1.4 KiB
Plaintext
36 lines
1.4 KiB
Plaintext
《Depth Anything V3》
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网址：https://github.com/ByteDance-Seed/Depth-Anything-3
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# 1. 配置
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gh repo clone ByteDance-Seed/Depth-Anything-3
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cd Depth-Anything-3
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conda create -n da3 python=3.12 -y
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conda activate da3
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conda install -c nvidia cudatoolkit=11.8
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conda install -c nvidia cuda-nvcc=11.8
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conda install -c "nvidia/label/cuda-11.8.0" cuda-toolkit
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# 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
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ls $CONDA_PREFIX/bin/nvcc
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# 1. Force the shell to prioritize your Conda bin directory
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export PATH=$CONDA_PREFIX/bin:$PATH
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# 2. Explicitly tell the build script where CUDA is located
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export CUDA_HOME=$CONDA_PREFIX
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# 3. Check the version again - it MUST say 11.8 now
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nvcc -V
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# cuda version need to be same with `nvcc --version` for gsplat
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pip install torch==2.7.1 torchvision==0.22.1 --index-url https://download.pytorch.org/whl/cu118
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pip install -e .
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pip install --no-build-isolation 'git+https://github.com/nerfstudio-project/gsplat.git@0b4dddf04cb687367602c01196913cde6a743d70'
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# 2. 下载深度预训练模型
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mkdir checkpoints
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mkdir checkpoints/DA3MONO-LARGE
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https://huggingface.co/depth-anything/DA3MONO-LARGE
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mkdir checkpoints/DA3METRIC-LARGE
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mkdir checkpoints/DA3-SMALL
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mkdir checkpoints/DA3-BASE
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mkdir checkpoints/DA3-LARGE
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mkdir checkpoints/DA3-GIANT
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mkdir checkpoints/DA3NESTED-GIANT-LARGE
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