UniqAI/gaussian-splatting
1
0
Fork 0
mirror of https://github.com/graphdeco-inria/gaussian-splatting synced 2024-11-28 15:02:26 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Fixed typo

Browse Source
This commit is contained in:
bkerbl 2023-07-10 18:11:03 +02:00
parent c1b61aad15
commit 6073463220
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@ -235,7 +235,7 @@ In the current version, this process takes about 7h on our reference machine con
python full_eval.py -o <directory with pretrained models> --skip_training -m360 <mipnerf360 folder> -tat <tanks and temples folder> -db <deep blending folder>
```
If you want to do compute the metrics on our paper's [evaluation images](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/evaluation/images.zip), you can also skip rendering. In this case it is not necessary to provide the source datasets. You can compute metrics for multiple image sets at a time.
If you want to compute the metrics on our paper's [evaluation images](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/evaluation/images.zip), you can also skip rendering. In this case it is not necessary to provide the source datasets. You can compute metrics for multiple image sets at a time.
```shell
python full_eval.py -m <directory with evaluation images>/garden ... --skip_training --skip_rendering
```