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https://github.com/graphdeco-inria/gaussian-splatting
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param fix (thanks Alban)
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@ -111,8 +111,8 @@ python metrics.py -m <path to trained model> # Compute error metrics on renderin
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```
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We further provide the ```full_eval.py``` script. This script specifies the routine used in our evaluation and demonstrates the use of some additional parameters, e.g., ```--images (-i)``` to define alternative image directories within COLMAP data sets. If you have downloaded and extracted all the training data, you can run it like this:
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```
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python full_eval.py --m360 <mipnerf360 folder> --tat <tanks and temples folder> --db <deep blending folder>
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```shell
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python full_eval.py -m360 <mipnerf360 folder> -tat <tanks and temples folder> -db <deep blending folder>
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```
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In the current version, this process takes about 7h on our reference machine containing an A6000.
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