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| # Manual Installation | |
| If some packages fail to install using the standard methods due to network issues or other reasons, this guide provides detailed instructions for manual installation. | |
| ## Setting Up Conda Environment and CUDA 12.1 | |
| ```bash | |
| # Create a new conda environment | |
| conda create -n fastsam3d python=3.11 | |
| # Activate the environment | |
| conda activate fastsam3d | |
| # Install dependencies from YAML file | |
| conda env update -f environments/default.yml | |
| ``` | |
| ```bash | |
| # Configure PyPI indexes for NVIDIA and PyTorch CUDA packages | |
| export PIP_EXTRA_INDEX_URL="https://pypi.ngc.nvidia.com https://download.pytorch.org/whl/cu121" | |
| ``` | |
| ## Installing requirements.txt and dev.txt | |
| ```bash | |
| # Install the package in development mode with dev dependencies | |
| pip install -e '.[dev]' | |
| ``` | |
| ## Installing PyTorch for Python 3.11 and CUDA 12.1 | |
| ```bash | |
| # Install PyTorch with CUDA 12.1 support | |
| pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121 | |
| ``` | |
| ## Manually Installing utils3d | |
| Download utils3d from GitHub to your local machine: | |
| ```bash | |
| # Clone the utils3d repository | |
| git clone https://github.com/EasternJournalist/utils3d.git | |
| # Navigate to the repository | |
| cd utils3d | |
| # Checkout the specific commit | |
| git checkout 3913c65d81e05e47b9f367250cf8c0f7462a0900 | |
| ``` | |
| Transfer the utils3d directory to the server at `MoGe/utils3d` and install manually: | |
| ```bash | |
| # Navigate to utils3d directory | |
| cd utils3d | |
| # Install the package (NOT in editable mode) | |
| pip install . | |
| ``` | |
| > **Important**: Do NOT use `pip install . -e` (editable mode) | |
| ## Manually Installing MoGe | |
| MoGe depends on utils3d and is not available on PyPI, so it must be downloaded from Git. | |
| ```bash | |
| # 1. Comment out the utils3d Git dependency in MoGe/requirements.txt: | |
| # Original line: git+https://github.com/EasternJournalist/utils3d.git@3913c65d81e05e47b9f367250cf8c0f7462a0900 | |
| # Change to: # git+https://github.com/EasternJournalist/utils3d.git@3913c65d81e05e47b9f367250cf8c0f7462a0900 | |
| ``` | |
| ```bash | |
| # 2. In pyproject.toml, change: | |
| # "EasternJournalist/utils3d.git@3913c65d81e05e47b9f367250cf8c0f7462a0900" | |
| # To: | |
| # "utils3d" | |
| # (since we've already installed utils3d) | |
| ``` | |
| ```bash | |
| # Navigate to MoGe directory and install | |
| cd MoGe | |
| pip install . | |
| ``` | |
| ## Manually Installing gsplat | |
| First, install the required build tools to avoid `no-build-isolation` errors: | |
| ```bash | |
| pip install hatchling hatch-requirements-txt | |
| ``` | |
| ```bash | |
| # Navigate to gsplat directory and compile | |
| cd gsplat | |
| MAX_JOBS=4 pip install . --no-build-isolation -v | |
| ``` | |
| > **Successful compilation output**: | |
| > Successfully installed gsplat-1.5.3 jaxtyping-0.3.3 wadler-lindig-0.1.7 | |
| ## Manually Installing pytorch3d | |
| First, check if these dependencies are already installed: | |
| ```bash | |
| pip show fvcore | |
| pip show iopath | |
| ``` | |
| ```bash | |
| # Navigate to pytorch3d directory and compile | |
| cd pytorch3d | |
| export FORCE_CUDA=1 | |
| export TORCH_CUDA_ARCH_LIST="8.0" | |
| MAX_JOBS=4 pip install . --no-build-isolation -v | |
| ``` | |
| > **Successfully installed**: pytorch3d-0.7.8 | |
| ## Installing inference.txt Dependencies | |
| Install these manually (avoid `pip install -e '.[inference]'` as it reinstalls requirements.txt): | |
| ```bash | |
| # Configure Kaolin download link | |
| export PIP_FIND_LINKS="https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu121.html" | |
| ``` | |
| ```bash | |
| # Install inference dependencies | |
| pip install kaolin==0.17.0 | |
| conda install -c conda-forge "numpy>=2,<2.3.0" | |
| pip install seaborn==0.13.2 | |
| pip install gradio==5.49.0 | |
| ``` | |
| ## Compiling flash-attention | |
| Installing `[p3d]` would reinstall requirements.txt, so we install flash-attention manually. | |
| > **Note**: This compilation is time-consuming (approximately 1 hour). | |
| Default installation method: | |
| ```bash | |
| pip install -e '.[p3d]' | |
| ``` | |
| Alternative (recommended): | |
| ```bash | |
| MAX_JOBS=4 pip install flash_attn==2.8.3 --no-build-isolation -i https://pypi.tuna.tsinghua.edu.cn/simple | |
| ``` | |
| ## Reinstalling requirement.txt (if some packages failed) | |
| If some packages from requirements.txt were not installed successfully: | |
| ```bash | |
| pip install -r requirement.txt | |
| ``` | |