Initial media depth project backup

Depth-Anything-3-main-待处理/使用手册_V3-待处理.txt

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+《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