PointNet1_Keras

Implementation of PointNet-1 on Point Cloud segmentation problem by Keras(based Tensorflow).

This repo is implementation for PointNet(https://arxiv.org/abs/1612.00593) in Keras. The model is in pointnet.py.

Original tensorflow implementation: https://github.com/charlesq34/pointnet

Pytorch implementation: https://github.com/fxia22/pointnet.pytorch

This code was built and developed based on this repo: https://github.com/garyli1019/pointnet-keras

Installation

Anaconda/Miniconda

Windows & OS X & Linux:

conda env create -f environment.yml

Usage

Below is guide to download data, train network then test prediction on Shapenet dataset

1. Download and unzip the Shapenet dataset to ./pointnet1_keras/DATA directory
2. Run training, type on terminal: python train_segmentation.py
3. Run testing, type on terminal: python test_segmentation.py

Meta

NGUYEN CONG MINH – @Facebook – minhnc.edu.tw@gmail.com

Distributed under the MIT license. See LICENSE for more information.

https://github.com/minhncedutw/pointnet1_keras

Contributing

1. Fork it (https://github.com/yourname/yourproject/fork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request

README Template from Dan Bader