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Non-Rigid Point Set Registration Networks

Home Page: https://arxiv.org/abs/1904.01428

License: MIT License

Python 16.80% Jupyter Notebook 83.20%

pr-net's Introduction

PR-Net

(1) The code is tested on: python 3.6

pytorch: conda install pytorch torchvision cudatoolkit=8.0 -c pytorch

(2) For training the model: python train.py

(3) C.D. (Before and After) is saved in Vis_xxx and a sample of qualitative testing registration results is saved in Vis_xxx.mat.

(4) For comparison with CPD, we use the package: https://github.com/siavashk/pycpd

(5) geotnf is modified based on the code from paper: Convolutional neural network architecture for geometric matching,Ignacio Rocco, Relja Arandjelović, Josef Sivic.

pr-net's People

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lingjing324 avatar

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