Open JIANG-CX opened 1 year ago
Hi,
For 1, the point cloud is prepared by @fwilliams, could you give some guidance here?
For 2, we disregard voxel_size
and detail_level
if chunk_size
is provided. Could you try examples/recons_scannet.py
that I've just pushed? If you really want to use chunk mode, please scale your point cloud by 5 and apply the reconstruction. This is because the voxel size during training is 0.1, and we want to simulate a voxel size 0.02 here.
Thank you for your answer. However, I am still confused as to why the voxel_size and detail_level are disregarded when a chunk size is provided. From my perspective, the chunk size is only used to separate the scene into multiple pieces, and there seems to be no conflict with the voxel_size and detail_level."
Yes, you are absolutely correct. What I was trying to say is that this is not supported for now (in our TODO list actually). I'm gonna fix that soon š
In the meantime, if you want to fix this, you should scale your point cloud for now.
OK, I am looking forward to the update š
Hi, may I know how exactly to scale the pointcloud by hand? Which function should I use?
Great work! I have two questions about the reconstruction on the ScanNet dataset.
I cannot reproduce the results shown in NKSR-USAGE.md. This is the code and result, should I tune some parameters?
Thanks a lot.