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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: 1 day 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 (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-07-07T21:26:21.000Z (over 6 years ago)
- Last Synced: 2024-10-28T08:39:41.014Z (17 days ago)
- Language: Python
- Homepage: https://arxiv.org/abs/1704.01222
- Size: 28.3 KB
- Stars: 117
- Watchers: 6
- Forks: 23
- Open Issues: 3
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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!