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PR-Net
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Non-Rigid Point Set Registration Networks
Download README (.md)
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Download README
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README.md
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PR-Net
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# 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.
