Thanks for the nice code! One quick question about implementation detail in datasets/transforms.py. I noticed that the occ_vol is set to be a subset of tsdf_vol obtained from nn.functional.grid_sample (as shown in the figure below). However, tsdf_vol can also be calculated when calling tsdf_vol, weight_vol = tsdf_vol.get_volume() in line 302. But you didn't not use that tsdf_vol. Instead, lines 318~327 calculated tsdf_vol in another way using the tsdf generated from meta data. I wonder, is there any special concern for doing this? Thanks!
may I ask some question about data['vol_origin'] in transform.py. Why this code didn't do random transform to this parameter since the author used it on computation with transformed volume in Line264
Thanks for the nice code! One quick question about implementation detail in datasets/transforms.py. I noticed that the occ_vol is set to be a subset of tsdf_vol obtained from nn.functional.grid_sample (as shown in the figure below). However, tsdf_vol can also be calculated when calling tsdf_vol, weight_vol = tsdf_vol.get_volume() in line 302. But you didn't not use that tsdf_vol. Instead, lines 318~327 calculated tsdf_vol in another way using the tsdf generated from meta data. I wonder, is there any special concern for doing this? Thanks!