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Surface and Edge Detection for Primitive Fitting of Point Clouds SIGGRAPH 2023 conference proceedings

install

following parsenet install cmds

data prepare

  • please download our dataset from Baiduyun (password is meta) and load all files of folder sed_net_data to data
  • please download parsenet datasets from Baiduyun (password is meta) and load all files of folder parsenet to data_parsenet
  • you can download our pretained models from Baiduyun (password is meta) and load all weights of folder ckpts to ckpts

train & test

  • test model with normal
python generate_predictions_aug.py configs/config_SEDNet_normal.yml NoSave no_multi_vote no_fold5drop
  • train model with normal
python train_sed_net.py configs/config_SEDNet_normal.yml

reference

  1. parsenet
  2. hpnet

Cite

@inproceedings{li2023surface, title={Surface and edge detection for primitive fitting of point clouds}, author={Li, Yuanqi and Liu, Shun and Yang, Xinran and Guo, Jianwei and Guo, Jie and Guo, Yanwen}, booktitle={ACM SIGGRAPH 2023 Conference Proceedings}, pages={1--10}, year={2023} }

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Surface and Edge Detection for Primitive Fitting of Point Clouds,SIGGRAPH 2023

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  • Python 97.0%
  • C++ 1.7%
  • Cuda 1.3%