Delaunay_Triangulation | Delaunay triangulation and Voronoi partition | Computer Vision library

by MauriceGit Python Version: Current License: ISC

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | Delaunay_Triangulation Summary

Delaunay_Triangulation is a Python library typically used in Artificial Intelligence, Computer Vision, Example Codes applications. Delaunay_Triangulation has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Delaunay_Triangulation build file is not available. You can download it from GitHub.

My own implementation of a Delaunay triangulation and Voronoi partition in Python applied to images.

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Support

Delaunay_Triangulation has a low active ecosystem.

It has 252 star(s) with 36 fork(s). There are 15 watchers for this library.

It had no major release in the last 6 months.

Delaunay_Triangulation has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Delaunay_Triangulation is current.

Quality

Delaunay_Triangulation has 0 bugs and 0 code smells.

Security

Delaunay_Triangulation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Delaunay_Triangulation code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Delaunay_Triangulation is licensed under the ISC License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Delaunay_Triangulation releases are not available. You will need to build from source code and install.

Delaunay_Triangulation has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Delaunay_Triangulation and discovered the below as its top functions. This is intended to give you an instant insight into Delaunay_Triangulation implemented functionality, and help decide if they suit your requirements.

Finds the trie in t
Insert a point into a triangle .
if t is a triangle
get the color of a polygon
Draw a path .
return color of triangle t
Removes out out of bounds in bounds
Returns True if t1 and p2 are in p2 .
Find points from an image
Compute the intersection of two line segments

Get all kandi verified functions for this library.

Delaunay_Triangulation Key Features

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Delaunay_Triangulation Examples and Code Snippets

No Code Snippets are available at this moment for Delaunay_Triangulation.

Community Discussions

Trending Discussions on Delaunay_Triangulation

Cannot get a closed triangulation of points in NetTopologySuite

Haskell to Prolog or just Prolog delaunay triangulation

CGAL interpolation on triangular grid get stuck

QUESTION

Cannot get a closed triangulation of points in NetTopologySuite

Asked 2018-Jul-02 at 20:01

I am using NetTopologySuite version 1.14 and playing with it in order to calculate the Triangulation of a set of points. More specifically:

I want a 3D Delaunay triangulation of a set of points in the 3D space which is also closed (the final mesh must be closed: an hull).

My attempt

Following the API that I linked, I have written this simple program:

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ANSWER

Answered 2018-Jul-02 at 20:01

This has been answered here in NTS' official reporitory on GitHub.

Source https://stackoverflow.com/questions/51089047

QUESTION

Haskell to Prolog or just Prolog delaunay triangulation

Asked 2018-Mar-23 at 10:28

I have completed a haskell code to compute the delaunay triangulation of a given point set. However, now i am stuck as to how and what method needs to be completed in prolog

Haskell:

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ANSWER

Answered 2018-Mar-23 at 10:28

concatenate(L1, L1, T) is true if and only if T is equal to the concatenation of lists L1 and L2.

This should read concatenate(L1, L2, T) and is the standard append/3 predicate. It corresponds to Haskell's (++) function for list concatenation. For example, it should behave as follows:

Source https://stackoverflow.com/questions/49443539

QUESTION

CGAL interpolation on triangular grid get stuck

Asked 2017-Mar-09 at 02:16

To interpolate from a set of scattered points (e.g. gridding them onto regular grids), Delaunay_triangulation_2 is used to build the triangle mesh, natural_neighbor_coordinates_2() and linear_interpolation() are used for interpolation.

A problem I encountered is that when the input points are from some regular grids, the interpolation process could get "stuck" at some output location: the process is occupied by natural_neighbor_coordinates_2() but it never returns. It will run through if random noise is added onto the coordinates of the input points.

Wonder if anyone also had this problem and what is the solution. Adding random noise is OK but affects the accuracy of interpolation.

The scripts for interpolation are as below (I am using Armadillo for matrix)

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ANSWER

Answered 2017-Mar-09 at 02:16

This reminds me of a problem with random_polygon_2() getting stuck if the points are aligned, discussed here: http://cgal-discuss.949826.n4.nabble.com/random-polygon-2-gets-stuck-possible-CGAL-bug-td4659470.html

I'd suggest to try running your code with the set of points from Sebastien's answer. Your problem might also be related to points being aligned (just a guess).

Source https://stackoverflow.com/questions/42678527

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Delaunay_Triangulation

You can download it from GitHub.
You can use Delaunay_Triangulation like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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