https://github.com/fxia22/kdnet.pytorch

implementation "Escape from Cells: Deep Kd-Networks for The Recognition of 3D Point Cloud Models" in pytorch
https://github.com/fxia22/kdnet.pytorch

Last synced: 6 months ago
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implementation "Escape from Cells: Deep Kd-Networks for The Recognition of 3D Point Cloud Models" in pytorch

• Host: GitHub
• URL: https://github.com/fxia22/kdnet.pytorch
• Owner: fxia22
• License: mit
• Created: 2017-05-31T09:22:27.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2018-07-07T21:26:21.000Z (almost 7 years ago)
• Last Synced: 2024-11-23T12:07:02.563Z (7 months ago)
• Language: Python
• Homepage: https://arxiv.org/abs/1704.01222
• Size: 28.3 KB
• Stars: 117
• Watchers: 5
• Forks: 23
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: License

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README

        
# KDnet

This repository is an independent implementation of https://arxiv.org/abs/1704.01222 in pytorch.

## Data download and training

download `bash download.sh`, training: `python train.py`

## Dependencies

- scipy

- pytorch==0.3.1 (not tested in other versions)

## Acknowledgements

Shout out to [@wassname](https://github.com/wassname) who increased the scalibility upon my original KDTree implementation!