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XuyangBai / PointDSC

[PyTorch] Official implementation of CVPR2021 paper "PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency". https://arxiv.org/abs/2103.05465
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Do you have any processed data for training? #2

Closed Alicebash closed 3 years ago

Alicebash commented 3 years ago

Hello,I'm trying to reproduce this code, but I'm having some problems.

I have the catalogue ready: .
├── fragments
│ ├── 7-scene-redkitechen/
│ ├── sun3d-home_at-home_at_scan1_2013_jan_1/
│ └── ...
├── gt_result
│ ├── 7-scene-redkitechen-evaluation/
│ ├── sun3d-home_at-home_at_scan1_2013_jan_1-evaluation/ │ └── ...
├── threedmatch
│ ├── .npz │ └── .txt

But Error when I run training code"python train_3DMatch.py": "AssertionError: Make sure that the path /data/3DMatch has data sun3d-brown_bm_1-brown_bm_1*0.30.txt" Did I do something wrong? And my files failed to install"MinkowskiEngine". Could you please provide this folder "/3DMatch" used for training ? Thank you!

XuyangBai commented 3 years ago

"AssertionError: Make sure that the path /data/3DMatch has data sun3d-brown_bm_1-brown_bm_1*0.30.txt" Did I do something wrong?

You need to make sure your npz and txt files are in /data/3DMatch/threedmatch folder as we load the npz file by https://github.com/XuyangBai/PointDSC/blob/b009d536ac10b570853833f2178397c154745da9/datasets/ThreeDMatch.py#L48-L50

And I am not able to share the extracted FCGF feature with you because the files are too large. You can follow the instruction of https://github.com/NVIDIA/MinkowskiEngine to install the ME or try to use FPFH feature first. Extracting FPFH feature does not need ME, you can do it using misc/cal_fpfh.py

XuyangBai commented 3 years ago

please reopen if you have more questions.