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All Projects → garyli1019 → Pointnet Keras

garyli1019 / Pointnet Keras

Licence: mit
Keras implementation for Pointnet

Programming Languages

python
139335 projects - #7 most used programming language

Labels

deep-learningkerasclassificationsegmentationpoint-cloud

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pointnet-keras

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

Package requirement: Python3.6, keras, tensorflow, numpy, matplotlib, h5py

Results

Segmentation Sample

seg_sample

How to Run code:

Classification:

  • Download the aligned dataset from Link
  • Put all traning .h5 files under Prepdata folder, all testing .h5 files under Prepdata_test folder
  • Run train_cls.py. Accuracy rate will be 82.5%, which is slightly lower than the original implementation.

Segmentation:

  • Download and unzip the shapenet dataset from Link.
  • Run Seg_dataprep.py then train_seg.py.

Point Architecture

  • Input Transformation Net: Input: Nx3 point cloud sample, Output: 3x3 transformation net input_transformation_net

  • Feature Transformation Net: feature_transformation_net

  • Global Feature: Input: Nx3 point cloud sample multiply input T_net. Output: 1*1024 global feature

  • Classification Net: Input: Nx3 point cloud sample multiply input T_net. Output: 1x40 softmax prediction classification_net

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