Issue of MonoSDF dataset format and scannet yaml config file

[kevinchan04]

Hi, when I trying to train my custom dataset with monosdf dataloader, it has error as shown below:

Traceback (most recent call last):
File "code_single/tools/train.py", line 1699, in
main_function(bc.parse(print_config=False))
File "code_single/tools/train.py", line 1336, in main_function
image_patch_dataset = ImagePatchDataset(scene_dataloader_train, **params, **sampler_kwargs)
File "/srv/storage/kevin/Platform-NeRF_to_BIM/SourceCode/neuralsim/dataio/data_loader/image_loader.py", line 190, in init
self.sampler, self.scene_weights = get_frame_sampler(self.scene_loader, frame_sample_mode=self.frame_sample_mode, ddp=ddp, **sampler_kwargs)
File "/srv/storage/kevin/Platform-NeRF_to_BIM/SourceCode/neuralsim/dataio/data_loader/sampler.py", line 66, in get_frame_sampler
frame_weights = get_frame_weights_uniform(scene_loader, scene_weights, **kwargs)
File "/home/user/miniconda3/envs/nr3d/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
TypeError: get_frame_weights_uniform() got an unexpected keyword argument 'num_rays'

My dataset is built following monosdf format as https://github.com/autonomousvision/monosdf/blob/main/preprocess/scannet_to_monosdf.py . Not sure if it is suitable for neuralsim. Could you give any suggestions? Thank you.