From f7cfc0f87716bfca94fa78241ca3f9e7ee0dd29e Mon Sep 17 00:00:00 2001 From: Snosixtyboo <40643808+Snosixtyboo@users.noreply.github.com> Date: Thu, 24 Aug 2023 11:09:53 +0200 Subject: [PATCH] Update README.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index e724dfa..1c56265 100644 --- a/README.md +++ b/README.md @@ -97,7 +97,7 @@ 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). +User [camenduru](https://github.com/camenduru) was kind enough to provide a Colab template that uses pre-built wheels for quick and easy access to the method. Please check it out [here](https://github.com/camenduru/gaussian-splatting-colab). #### Modifications @@ -125,7 +125,7 @@ python train.py -s #### --resolution / -r Specifies resolution of the loaded images before training. If provided ```1, 2, 4``` or ```8```, uses original, 1/2, 1/4 or 1/8 resolution, respectively. For all other values, rescales the width to the given number while maintaining image aspect. **If not set and input image width exceeds 1.6K pixels, inputs are automatically rescaled to this target.** #### --data_device - Specifies where to put the source image data, ```cuda``` by default, recommended to use ```cpu``` if training on large/high-resolution dataset, will reduce VRAM consumption, but slightly slow down training. + Specifies where to put the source image data, ```cuda``` by default, recommended to use ```cpu``` if training on large/high-resolution dataset, will reduce VRAM consumption, but slightly slow down training. Thanks to [HrsPythonix](https://github.com/HrsPythonix). #### --white_background / -w Add this flag to use white background instead of black (default), e.g., for evaluation of NeRF Synthetic dataset. #### --sh_degree