Fast smoothing of per-vertex data on triangular meshes.
Project description
pyhaze
Fast smoothing of per-vertex data on triangular meshes for Python.
About
This package package performs smoothing of per-vertex data on triangular meshes. Such smoothing is typically used to reduce high-frequency noise and improve signal-to-noise ration (SNR). The algorithm for iterative nearest-neighbor smoothing is trivial, but involves nested tight loops, which are very slow in Python, so this package calls into C++ via pybind11 to achieve high performance.
Fig.1: Noisy per-vertex data on a brain mesh (left), and the same data after smoothing (right). White represents NA values.
This is a Python implementation of the haze package for R. The haze website offers a more detailed explanation of the motivation and use cases.
Development state
This is work-in-progress, come back another day.
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Source Distribution
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