Skip to main content

Euler characteristic of images and finite point sets.

Project description

euchar

Compute Euler Characteristic curves and surfaces of image and point data.

Installation

For the package to install correctly the prerequisites are

  • a C++ compiler. Windows users need to install a recent version of Visul Studio
  • cmake version >= 3.8
  • pybind11 version >= 2.2

It is recommended to install both cmake and pybind11 via the conda command, which can be obtained by installing either Anaconda or Miniconda.

With conda installed run the following commands in a terminal window.

$ conda install -c anaconda cmake
$ conda install -c conda-forge pybind11

This module makes use of features provided by the following Python modules

  • numpy
  • matplotlib, used in the display module of the package
  • scipy, used to obtain Delaunay triangulations of 2D and 3d finite point sets
  • scikit-learn, for nearest neighbours algorithm to obtain an estimate of the inverse of the local density in a finite set of points

Documentation

The documentation for this project is available at https://gbeltramo.github.io/euchar/, where usage examples are also provided for computing both Euler characteristic curves and Euler characteristic surfaces.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

euchar-0.1.6.tar.gz (18.0 kB view hashes)

Uploaded Source

Built Distributions

euchar-0.1.6-py3.7-win-amd64.egg (201.6 kB view hashes)

Uploaded Source

euchar-0.1.6-cp37-cp37m-win_amd64.whl (186.5 kB view hashes)

Uploaded CPython 3.7m Windows x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page