question about the dataset processing

[yl-wang996]

I am kind of confused about several items in datasets/load_data.py. I have some questions about the content in this file.

1. At Line 270, you used: fsnet_scale, mean_shape = self.get_fs_net_scale(self.id2cat_name[str(cat_id + 1)], model, nocs_scale), what means fsnet_scale, mean_shape? What's your motivation to do so? And if I want to build a customized dataset, what am I supposed to do with it?

2. As my understanding, the nocs_scale in the data_dict means the scale of the normalized 3D model for the observed object, and model_point means sampled points cloud from the same 3D model. Am I right?

Thanks in advance Yunlong