Comments (3)
Sorry for being late. Our team members were busy for preparing the CVPR submission.
@junha-l Could you answer this question?
from perfception.
Hi @kghandour, sorry for the late response.
As you mentioned, the ground truth semantic labels are currently missing in the PeRFception-ScanNet repository.
We'll upload it as soon as possible and let you know when it is done.
For the last question, trans_info.npz
contains some useful metadata (e.g. frame ids that are used in training, the transformation matrix that aligns voxel grid of Plenoxels and the original ScanNet point cloud), and thick.npy
is for the point cloud data that we used to initialize the voxel grid as stated in our paper.
from perfception.
Thank you for the great work. As a follow up question related to this thread. What is the difference between the "init.npy" and "thick.npy" files?
from perfception.
Related Issues (16)
- Data generation code HOT 4
- took over 70GB RAM while running 'python3 -m run --ginc configs/scannet.gin', is this a normal situation? HOT 3
- Estimated date for releasing the dataset trained on CO3D V2? HOT 6
- Will you release the code of 3D classification on PeRFception dataset? HOT 4
- Downloading PeRFception-ScanNet HOT 2
- Minor error in the code HOT 5
- OneDrive error HOT 2
- ScanNet data generation HOT 1
- Visualize trained plenoxels HOT 1
- Are you training on the ndc coordinates for Co3d Dataset?
- ModuleNotFoundError: No module named 'cc3d' HOT 1
- Visualizing ScanNet scene from checkpoint
- Can we train on multi GPU
- Cannot download datasets with script HOT 2
- Downloading specific categories and sequences HOT 6
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from perfception.