https://github.com/ace19-dev/gvcnn-tf

Group-View Convolutional Neural Networks for 3D Shape Recognition
https://github.com/ace19-dev/gvcnn-tf

3d-shape-recognition group-view gvcnn image-retrieval mvcnn tensorflow view-group-shape-architecture

Last synced: about 2 months ago
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Group-View Convolutional Neural Networks for 3D Shape Recognition

• Host: GitHub
• URL: https://github.com/ace19-dev/gvcnn-tf
• Owner: ace19-dev
• License: apache-2.0
• Created: 2018-11-26T09:46:50.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-03-03T16:33:41.000Z (over 4 years ago)
• Last Synced: 2024-07-22T04:34:02.200Z (2 months ago)
• Topics: 3d-shape-recognition, group-view, gvcnn, image-retrieval, mvcnn, tensorflow, view-group-shape-architecture
• Language: Python
• Homepage:
• Size: 21.3 MB
• Stars: 35
• Watchers: 5
• Forks: 9
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## GVCNN (Group-View Convolutional Neural Networks for 3D Shape Recognition)

![](assets/gvcnn_framework.png)

![](assets/view-group-shape_architecture.png)

## Data

- Download [modelnet10-Class Orientation-aligned Subset](http://modelnet.cs.princeton.edu/)

  - make .png images in order below

    - data_utils/make_views_dir.py

    - data_utils/off2obj.py (after 'sudo apt install openctm-tools')

    - data_utils/obj2png.py

  - Or You can create 2D dataset from 3D objects (.obj, .stl, and .off), using [BlenderPhong](https://github.com/WeiTang114/BlenderPhong).

- Or Downsized modelnet40(from https://drive.google.com/file/d/0B4v2jR3WsindMUE3N2xiLVpyLW8/view) to modelnet12/6-view. 

## Quick Start

- make group-view image tfrecord file

  - dataset_tools/create_modelnet_tf_record.py

- train.py 

## TODO

- balanced sampler

## References from

- http://openaccess.thecvf.com/content_cvpr_2018/papers/Feng_GVCNN_Group-View_Convolutional_CVPR_2018_paper.pdf

- https://github.com/WeiTang114/MVCNN-TensorFlow

- https://github.com/pclausen/obj2png