Skip to main content

Python library for calculating geodesic distance on triangular based surface meshes

Project description

pygeodesic

Python library to compute geodesic distance over a triangular based surface mesh.

A Cython wrapper of the C++ code by Kirsanov, which is an implementation of the exact geodesic algorithm for triangular mesh first described by Mitchell, Mount and Papadimitriou in 1987.

pygeodesic is similar to other libraries on PyPi (such as gdist and tvb-gdist), but:

  • provides a wrapper of the GeodesicAlgorithmExact class
  • exposes geodesic path (not just geodesic distance)
  • licensed under MIT license similar to the orginal Kirsanov C++ code, rather than GPL

A good alternative to pygeodesic is potpourri3d, which uses the heat method and vector heat method to compute geodesic distance over surfaces and point clouds. However, this library does not currently output the geodesic path on the surface.

Requirements

A C++ compiler is required if you are not installing one of the precompiled wheels. Although pygeodesic is a Cython wrapper, Cython is not required as the cythonized C++ file is also provided.

VTK is used for visualisation in the example notebooks.

Installation

Install from PyPi:

pip install pygeodesic

Installation from source (from within folder containing setup.py):

python setup.py install

Usage

Loading pygeodesic:

import pygeodesic.geodesic as geodesic

To read the mesh files provided with the original C++ code:

filename = r'data/flat_triangular_mesh.txt'
result = geodesic.read_mesh_from_file(filename)
if result:
    points, faces = result

To calculate the geodesic distance and path between two points (the source and the target) on the mesh:

# Initialise the PyGeodesicAlgorithmExact class instance
geoalg = geodesic.PyGeodesicAlgorithmExact(points,faces)

# Define the source and target point ids with respect to the points array
sourceIndex = 25
targetIndex = 97

# Compute the geodesic distance and the path
distance, path = geoalg.geodesicDistance(sourceIndex, targetIndex)

To calculate the geodesic distances from a single point (the source point) to all other points on the mesh:

sourceIndex = 25
distances, best_source = geoalg.geodesicDistances(np.array([sourceIndex,]))

To calculate the geodesic distances from two source points to all other points on the mesh:

distances, best_source = geoalg.geodesicDistances(np.array([25,100]))

For more detail, a jupyter notebook is provided in the examples folder to show how to use pygeodesic to compute geodesic distances and paths.

Example using the Stanford Bunny

An jupyter notebook is provided showing how to use pygeodesic to calculate the geodesic distance and path using the Stanford Bunny as an example.

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

pygeodesic-0.1.1.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

pygeodesic-0.1.1-cp37-cp37m-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.7m Windows x86-64

File details

Details for the file pygeodesic-0.1.1.tar.gz.

File metadata

  • Download URL: pygeodesic-0.1.1.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.0 importlib_metadata/3.7.3 packaging/20.9 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.9

File hashes

Hashes for pygeodesic-0.1.1.tar.gz
Algorithm Hash digest
SHA256 8d13cd89b59eb95a2bbfaae1c6ad0c3ab665fde1923c4ec2986b018dcca2543c
MD5 e40ff2ff0b8bd2ae55f3236eacb6bc96
BLAKE2b-256 8e9cc9745fb717eacab2adccfdb2efc9b7e58ddc934b08d01a0241fb9bf97713

See more details on using hashes here.

File details

Details for the file pygeodesic-0.1.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: pygeodesic-0.1.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.0 importlib_metadata/3.7.3 packaging/20.9 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.9

File hashes

Hashes for pygeodesic-0.1.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 371284f0ffdb80debfc0c56c092665bcd2051a9099efe1f19169c35366c0c5a0
MD5 f8657870e656f5e2b38d1c9996400dde
BLAKE2b-256 83ecd0fabed30fcae1e91040be5ca536c0c211d321ed7146a2ba9f2a0e18654c

See more details on using hashes here.

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