Errors that occur when training on the room dataset.

[VerseWei]

Great job! But I encountered a problem while retraining on the dataset in the room. Are you also using the dataset downloaded from the link you provided? python train_densify_prune.py -s /home/wxs/3D_Recon/LightGaussian/datasets/room -m /home/wxs/3D_Recon/LightGaussian/output/room Optimizing /home/wxs/3D_Recon/LightGaussian/output/room Output folder: /home/wxs/3D_Recon/LightGaussian/output/room [18/01 10:09:28] Tensorboard not available: not logging progress [18/01 10:09:28] /home/wxs/3D_Recon/LightGaussian/datasets/room [18/01 10:09:28] Reading camera 1/30Traceback (most recent call last): File "/home/wxs/3D_Recon/LightGaussian/train_densify_prune.py", line 268, in training( File "/home/wxs/3D_Recon/LightGaussian/train_densify_prune.py", line 57, in training scene = Scene(dataset, gaussians) File "/home/wxs/3D_Recon/LightGaussian/scene/init.py", line 55, in init scene_info = sceneLoadTypeCallbacks["Colmap"]( File "/home/wxs/3D_Recon/LightGaussian/scene/dataset_readers.py", line 179, in readColmapSceneInfo cam_infos_unsorted = readColmapCameras( File "/home/wxs/3D_Recon/LightGaussian/scene/dataset_readers.py", line 106, in readColmapCameras assert ( AssertionError: Colmap camera model not handled: only undistorted datasets (PINHOLE or SIMPLE_PINHOLE cameras) supported!

[Kevin-2017]

Yes, I have used the dataset from the provided link for similar training processes. I think with Mip360 dataset , this error shouldn't raise. You might want to refer to @https://github.com/graphdeco-inria/gaussian-splatting/issues/4#issuecomment-1628871550 To better assist you, could you please provide a bit more information so I could replicate the error? For example the folder strucure of the dataset?

[FredaPeng]

same here