UniqAI/gaussian-splatting
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Fixed typo

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bkerbl 2023-07-10 18:11:03 +02:00
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@ -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
```