Geometric morphometrics in non-Euclidean shape spaces
Project description
Morphomatics: Geometric morphometrics in non-Euclidean shape spaces
Morphomatics is an open-source Python library for (statistical) shape analysis developed within the geometric data analysis and processing research group at Zuse Institute Berlin. It contains prototype implementations of intrinsic manifold-based methods that are highly consistent and avoid the influence of unwanted effects such as bias due to arbitrary choices of coordinates.
Detailed information and tutorials can be found at https://morphomatics.github.io/
Installation
Morphomatics can be installed directly from github using the following command:
pip install git+https://github.com/morphomatics/morphomatics.git#egg=morphomatics
For instructions on how to set up jaxlib, please refer to the JAX install guide.
Dependencies
- jax/jaxlib
- jraph
- flax
- optax
Optional
- pymanopt
- sksparse
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