Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Make commands easier in README #420

Merged
merged 1 commit into from
Sep 25, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 3 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -37,12 +37,11 @@ To install gsplat on Windows, please check [this instruction](docs/INSTALL_WIN.m
This repo comes with a standalone script that reproduces the official Gaussian Splatting with exactly the same performance on PSNR, SSIM, LPIPS, and converged number of Gaussians. Powered by gsplat’s efficient CUDA implementation, the training takes up to **4x less GPU memory** with up to **15% less time** to finish than the official implementation. Full report can be found [here](https://docs.gsplat.studio/main/tests/eval.html).

```bash
# under examples/
pip install -r requirements.txt
pip install -r examples/requirements.txt
# download mipnerf_360 benchmark data
python datasets/download_dataset.py
python examples/datasets/download_dataset.py
# run batch evaluation
bash benchmarks/basic.sh
bash examples/benchmarks/basic.sh
```

## Examples
Expand Down
Loading