Cheatsheet to run MANUS
The following Cheatsheet summarizes my experience running MANUS, and mainly describes how to solve some of the problems encountered
CUDA_HOME undefined problem
You need to install cuda toolkit
conda install -c nvidia/label/cuda-11.8.0 cuda-toolkit
x86_64-conda-linux-gnu-c++ not found
Install gxx_linux-64
conda install gxx_linux-64
glm/glm.hpp: No such file or directory
Install this package
sudo apt-get install libglm-dev
Numpy is unavailable
Downgrade numpy to 1.22.4
pip install numpy==1.22.4 matplotlib scikit-image scipy
AIO script
Actual all-in-one script
sudo apt-get install libglm-dev
conda create -n manus python=3.10
conda activate manus
conda install pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.8 -c pytorch -c nvidia
conda install gxx_linux-64
pip install numpy==1.22.4 matplotlib scikit-image scipy
mkdir submodules
cd submodules
git clone --recursive https://github.com/graphdeco-inria/diff-gaussian-rasterization
git clone --recursive https://gitlab.inria.fr/bkerbl/simple-knn.git
cd diff-gaussian-rasterization
python -m setup.py install
cd ..
cd simple-knn
python -m setup.py install
cd ..
pip install pytorch-lightning==2.0.1 easydict joblib opencv-python natsort omegaconf h5py scikit-learn termcolor imageio trimesh setuptools==59.5.0 plotly hydra-core --upgrade matplotlib pymeshlab scikit-image taichi lpips colorama
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