Poor results using custom data

[henrypearce4D]

I cant get any clean results from using custom data.

I created a transforms.json by converting my colmap model for one frame using the colmap2nerf script from instant-ngp, this trains great in instant-ngp;
https://github.com/NVlabs/instant-ngp/blob/master/scripts/colmap2nerf.py

Then created a script that duplicates the libraries for a specified amount of frames and adds a time stamp, here is my resulting .json, can you see any issues with it @Alexander0Yang ? does your code accept per camera intrinsics?

transforms_train.json

[Alexander0Yang]

Hi @henrypearce4D,
I just checked your transforms.json, it seems no problem. Have you tested your date on the 3D Gaussian Splatting?

[henrypearce4D]

Hi @Alexander0Yang, I tested the transforms.json with instantNGP, I dont think the Inria code that can load .json / synthetic blender datasets, that have varied camera intrinsics. we have 5 camera models (varied pixel width and height and lenses) in this dataset

Can you recommend a way to test the .json with any standard gaussian splatting method?

[ax-anoop]

@henrypearce4D

I added this my self into the code base, so let me know if you still need help!