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https://github.com/yanx27/gacnet
Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'
https://github.com/yanx27/gacnet
gacnet point-cloud s3dis segmentation
Last synced: about 1 month ago
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Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'
- Host: GitHub
- URL: https://github.com/yanx27/gacnet
- Owner: yanx27
- Created: 2019-04-03T05:10:38.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-04-03T13:12:53.000Z (over 5 years ago)
- Last Synced: 2024-10-28T08:39:38.562Z (about 2 months ago)
- Topics: gacnet, point-cloud, s3dis, segmentation
- Language: Python
- Size: 171 KB
- Stars: 166
- Watchers: 4
- Forks: 31
- Open Issues: 13
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Metadata Files:
- Readme: README.md
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README
# Graph Attention Convolution for Point Cloud Segmentation
This is personal pytorch implmentation of GACNet on S3DIS dataset, but **not official version**.
![](pic.png)## Download Data
Run `download_data.sh` and save dataset in `./indoor3d_sem_seg_hdf5_data/`## Train Model
Run `python train_semseg.py`## Announcement
It is only a **personal implmentation**, and the experimental results **do not represent the model in paper**. There are still many hyper parameters that need to be adjusted when the author publishes the source code.## Environments
Ubuntu 16.04
Python 3.6.5
Pytorch 0.4.1