PyTorch Implementation of the Coherent Point Drift Algorithm
Project description
Torch-CPD
Pytorch Implementation of the Coherent Point Drift Algorithm.
Introduction
This is a PyTorch re-implementation of the excellent pycpd package, which implements the Coherent Point Drift (CPD) algorithm. Only Rigid and Deformable Registration and currently implemented. The default is to use CUDA to speed up computation, which is significantly faster than pure Numpy. Refer to the pycpd package for examples of how to use CPD for registration.
Installation
Install from PyPI
You should install torch separately, follow instructions at https://pytorch.org/get-started/locally/
pip install torchcpd
Installation from Source
git clone https://github.com/ramtingh/torchcpd.git $HOME/torchcpd
Install the package:
pip install .
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