concavehull | build concave hull from points

by sebastianbeyer Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | concavehull Summary

concavehull is a Python library. concavehull has no bugs, it has no vulnerabilities and it has low support. However concavehull build file is not available. You can download it from GitHub.

Computes the envelope of a set of points, which represents the area occupied by this points. A nearest neighbours approach is used to generate a concave or convex hull. This is based on the works of Moreira and Santos 2007.

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Support

concavehull has a low active ecosystem.

It has 28 star(s) with 15 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of concavehull is current.

Quality

concavehull has 0 bugs and 0 code smells.

Security

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

concavehull code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

concavehull does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

It has 255 lines of code, 27 functions and 3 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Checks that the intersection of two lines intersect
Convert name to Tcase
Checks if a point is on a line
Determine if two line segments intersect
Test if a line is a point on the line
Check if a point is on a line
Test if two bounding boxes intersect
Determine if two bounding boxes intersect
Test if a point is on a line
Check if a point is on a line

Get all kandi verified functions for this library.

concavehull Key Features

No Key Features are available at this moment for concavehull.

concavehull Examples and Code Snippets

No Code Snippets are available at this moment for concavehull.

Community Discussions

Trending Discussions on concavehull

PCL not properly installed with vcpkg

QUESTION

PCL not properly installed with vcpkg

Asked 2021-Mar-11 at 11:27

I've installed the PCL with the vcpkg using ./vcpkg install pcl:x64-windows.
After a while I've noticed that concave_hull.h, convex_hull.h and qhull.h are not installed with the rest of the library.
Additional information of what I'm working with:

vcpkg tag (2020.11.01)
OS Windows 10
VS Community 16.8.3

For completion's sake I've included the code which lead me to this problem:

...

ANSWER

Answered 2021-Mar-11 at 11:27

After a while I solved the problem by switching to the reentrant qhull version following this guide: http://www.qhull.org/html/README_r.txt.

You have to copy the concave_hull code into files (hpp, h and cpp) within your own project.

Fix the headers and remove the #ifdef HAVE_QHULL in every file and add this chunk of code within your hpp file:

Source https://stackoverflow.com/questions/66546051

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

Vulnerabilities

No vulnerabilities reported

Install concavehull

You can download it from GitHub.
You can use concavehull 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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