Getting Started With 3D Gaussian Splatting for Windows(submodules error, create env error)

Getting Started With 3D Gaussian Splatting for Windows

References

https://www.youtube.com/watch?v=UXtuigy_wYc

https://github.com/jonstephens85/gaussian-splatting-Windows

GitHub - jonstephens85/gaussian-splatting-Windows: 3D Gaussian Splatting for Real-Time Radiance Field Rendering - Detailed Windo

 

1. Install Dependencies/Requirements

• CUDA 11.8
• Visual Studio 2019
  • 3DGS has an issue with Visual Studio 2022 !
  • Install VS 2019
  • https://learn.microsoft.com/en-us/visualstudio/releases/2019/history#release-dates-and-build-numbers

• COLMAP
• ImageMagik(not necessary. It's to convert a video to images)
• FFMEG(not necessary. It's to convert a video to images)

2. Run anaconda3 prompt

3. Cloning the repository

# HTTPS
git clone <https://github.com/graphdeco-inria/gaussian-splatting> --recursive

4. Setting up the optimizer

1. go into the cloned repo

cd gaussian-splatting

2. type the followings

SET DISTUTILS_USE_SDK=1 # Windows only
conda env create --file environment.yml
conda activate gaussian_splatting

if failed to create conda env, follow the steps below "Conda env create error"

5. Preparing images for the optimizer

1. Create data folder in the repo.
2. Create input folder and put images into it.(playroom/input, in my case)
3. Run the following command at gaussian-splatting

(gaussian_splatting) C:\\Users\\ghdth\\gaussian-splatting> python convert.py -s data/playroom

Results are like below

6. Run the optimizer

python train.py -s <path to COLMAP or NeRF Synthetic dataset>

For example,

 

python train.py -s data/playroom

 

Errors

Conda env create error

 

...
× Encountered error while trying to install package.
╰─> simple_knn
...

 

Follow the steps below

# init conda environment
conda create --name gaussian_splatting -y python=3.8
conda activate gaussian_splatting
pip install --upgrade pip
# or it would be like this C:\Users\ghdth\miniconda3\envs\gaussian_splatting\python.exe -m pip install --upgrade pip

# install PyTorch and cuda-toolkit
pip install torch==2.1.2+cu118 torchvision==0.16.2+cu118 --extra-index-url <https://download.pytorch.org/whl/cu118>
conda install -c "nvidia/label/cuda-11.8.0" cuda-toolkit
conda install -c conda-forge vs2019_win-64

# clone the source
git clone <https://github.com/graphdeco-inria/gaussian-splatting> --recursive
cd gaussian-splatting

# install dependencies
pip install plyfile tqdm ninja

# install submodules
pip install submodules/diff-gaussian-rasterization
pip install submodules/simple-knn

No module named ‘cv2’

pip install opencv-python