Conformal mapping-based warping of neuronal morphologies.
Project description
pywarper
pywarper is a Python package for conformal mapping-based warping of neuronal morphologies, based on the MATLAB implementations (Sümbül, et al. 2014).
Installation
To install the latest tagged version:
pip install pywarper
Or to install the development version, clone the repository and install it with pip install -e:
git clone https://github.com/berenslab/pywarper.git
pip install -e pywarper
By default, pywarper uses scipy.sparse.linalg.spsolve to solve sparse matrices, which can be slow. For better performance, you can manually install the additional dependencies of scikit-sparse first:
# mac
brew install suite-sparse
# debian
sudo apt-get install libsuitesparse-dev
then:
pip install pywarper[scikit-sparse]
Usage
See example notebooks for usage.
Project details
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