Instructions for pruning pre-trained "checkpoint" model

[henrypearce4D]

Hi thanks for the great code.

Please could you provide clear instructions for pruning a pre-trained INRIA "checkpoint" model .ply

First off, Checkpoints and Trained models seem to be referenced differently in LightGaussian compared the INRIA code. Pre-trained INRIA models .ply are being referred to as a checkpoint, this is not a checkpoint in the INRIA code. INRIA checkpoints are saved with --checkpoint_iterations 1000 and produce chkpnt1000.pth

To run pruning on a pre-trained INRIA "checkpoint" .ply the instructions for LightGaussian say;

Users can directly prune a trained 3D-GS checkpoint using the following command (default setting):

bash scripts/run_prune_finetune.sh

Should I add the arguments;

-s path-to-model-folder/

(full path to trained model folder e.g. -s datasets/big which contains /point_cloud/iteration_30000/point_cloud.ply)

And -m path-to-output-folder/ e.g. bash scripts/run_prune_finetune.sh -s datasets/big -m datasets/small ?

In the scripts run_prune_finetune.sh and run_prune__pt_finetune.sh they reference run args for datasets. In run_prune__pt_finetune.sh a comments says; # This is an example script to load from ply file. So should I use this to point directly to .ply file?

bash scripts/run_prune_pt_finetune.sh -datasets/big --start_pointcloud datasets/big/point_cloud/iteration_30000/point_cloud.ply -m datasets/small

I also tired added "big" as an argument to the script.

All these tests failed.

Any help is much appreciated!