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When I run the command python train.py -s .\lab1 , the following result was output in terminal normally.
(darkgs) PS D:\darkgs> python train.py -s .\lab1
Optimizing
Output folder: ./output/ddf3c879-f [21/05 15:37:38]
Tensorboard not available: not logging progress [21/05 15:37:38]
Reading camera 114/114 [21/05 15:37:38]
Loading Training Cameras [21/05 15:37:38]
Loading Test Cameras [21/05 15:37:52]
Number of points at initialisation : 5667 [21/05 15:37:52]
However,the output folder only have
The text was updated successfully, but these errors were encountered:
I just tested the code with a fresh copy of both released code and data here is what I see after training
So it seems training on your side gets stuck, which doesn't progress after points initialization somehow (maybe I'm wrong). I wonder if you have try a vanilla gaussian splatting with their data using our conda environment?
When I run the command python train.py -s .\lab1 , the following result was output in terminal normally.
(darkgs) PS D:\darkgs> python train.py -s .\lab1
Optimizing
Output folder: ./output/ddf3c879-f [21/05 15:37:38]
Tensorboard not available: not logging progress [21/05 15:37:38]
Reading camera 114/114 [21/05 15:37:38]
Loading Training Cameras [21/05 15:37:38]
Loading Test Cameras [21/05 15:37:52]
Number of points at initialisation : 5667 [21/05 15:37:52]
However,the output folder only have
The text was updated successfully, but these errors were encountered: