Closed Xiaofei-Kevin-Yang closed 1 year ago
Hi!
We are releasing a new version of SuperPoint Graph called SuperPoint Transformer (SPT). It is better in any way:
✨ SPT in numbers ✨ |
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📊 SOTA results: 76.0 mIoU S3DIS 6-Fold, 63.5 mIoU on KITTI-360 Val, 79.6 mIoU on DALES |
🦋 212k parameters only! |
⚡ Trains on S3DIS in 3h on 1 GPU |
⚡ Preprocessing is x7 faster than SPG! |
🚀 Easy install (no more boost!) |
If you are interested in lightweight, high-performance 3D deep learning, you should check it out. In the meantime, we will finally retire SPG and stop maintaining this repo.
Hi,
Thanks for your excellent work on point cloud segmentation. I encountered an issue when running the ssp-spg in my own dataset as below: ValueError: RANSAC could not find a valid consensus set. Traceback (most recent call last): File "supervized_partition/graph_processing.py", line 563, in
main()
File "supervized_partition/graph_processing.py", line 184, in main
reg = RANSACRegressor(random_state=0).fit(xyz[low_points,:2], xyz[low_points,2])
File "/root/miniconda3/lib/python3.7/site-packages/sklearn/linear_model/_ransac.py", line 440, in fit
"RANSAC could not find a valid consensus set. All"
ValueError: RANSAC could not find a valid consensus set. All
max_trials
iterations were skipped because each randomly chosen sub-sample failed the passing criteria. See estimator attributes for diagnostics (n_skips*).Could you tell me how to fix it? I really appreciate your help.