Comments (3)
Hi guys,
conda install pytorch3d -c pytorch3d==0.7.4
only works with Conda
under Linux
.
It does not work with Windows.
For Windows, you need CUDA 11.X or above - since SuGaR uses 11.8, the requisites should be met.
Use this instead:
pip install "git+https://github.com/facebookresearch/pytorch3d.git@stable"
see here:
https://github.com/facebookresearch/pytorch3d/blob/main/INSTALL.md#building--installing-from-source
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@Anttwo your description and @pinnarandolf both together made the trick Thanks!!!
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I admit that I do not use mamba but conda, I don't know if this could be an issue.
If the environment.yml
file does not work, you can try to install the packages one by one (there are only a few commands to run). The README.md
file actually provides the commands to run with conda for installing the packages one by one, in the Installation section:
conda create --name sugar -y python=3.9
conda activate sugar
conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia
conda install -c fvcore -c iopath -c conda-forge fvcore iopath
conda install pytorch3d -c pytorch3d==0.7.4
conda install -c plotly plotly
conda install -c conda-forge rich
conda install -c conda-forge plyfile==0.8.1
conda install -c conda-forge jupyterlab
conda install -c conda-forge nodejs
conda install -c conda-forge ipywidgets
pip install open3d
pip install --upgrade PyMCubes
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Related Issues (20)
- About SDF of space position p
- About extract_refined_mesh_with_texture.py HOT 1
- Confusion about cum_probs in sample_points_in_gaussians() HOT 2
- OSError: [WinError 123] The filename, directory name, or volume label syntax is incorrect: 'C:\\Users\\ruibm\\Desktop\\SugerTests\\sugarfine_C:'
- Artifacts on a reomved/black_background data HOT 10
- Cuda device shows not available on EC2 instance HOT 2
- Windows Implement, Success! HOT 11
- CUDA mismatch error while installing in docker. HOT 2
- Question about the Equation(1) implementation HOT 2
- Blank Viewer - no issues in inspect
- Foreground and Background meshes are empty HOT 3
- The process of generating mesh takes too long
- AssertionError: Could not recognize scene type! HOT 2
- Bin size was too small in the coarse rasterization phase. This caused an overflow, meaning output may be incomplete.
- index error
- Joint Refine
- Simultaneous editing of Gaussian and mesh
- Problem Extracting Mesh Without 'use_centers_to_extract_mesh' Option
- Difficulty in extracting an accurate mesh in a case study using SuGaR HOT 1
- simple knn install error
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