From 29fdaa3402a44264dc575f46e23a4d11bd993f22 Mon Sep 17 00:00:00 2001 From: Snosixtyboo <40643808+Snosixtyboo@users.noreply.github.com> Date: Thu, 24 Aug 2023 11:07:36 +0200 Subject: [PATCH] Update README.md --- README.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index ea0306a..e724dfa 100644 --- a/README.md +++ b/README.md @@ -77,7 +77,9 @@ The optimizer uses PyTorch and CUDA extensions in a Python environment to produc ### Setup -Our provided install method is based on Conda package and environment management: +#### Local Setup + +Our default, provided install method is based on Conda package and environment management: ```shell SET DISTUTILS_USE_SDK=1 # Windows only conda env create --file environment.yml @@ -93,6 +95,10 @@ conda env create --file environment.yml --prefix //gaussian_spl conda activate //gaussian_splatting ``` +#### Colab + +User [camenduru](https://github.com/camenduru) was kind enough to provide a Colab template that uses pre-built wheels for a quick and easy access to the method. Please check it out [here](https://github.com/camenduru/gaussian-splatting-colab). + #### Modifications If you can afford the disk space, we recommend using our environment files for setting up a training environment identical to ours. If you want to make modifications, please note that major version changes might affect the results of our method. However, our (limited) experiments suggest that the codebase works just fine inside a more up-to-date environment (Python 3.8, PyTorch 2.0.0, CUDA 12). Make sure to create an environment where PyTorch and its CUDA runtime version match and the installed CUDA SDK has no major version difference with PyTorch's CUDA version.