arucogen | Online ArUco markers generator | Computer Vision library

by okalachev JavaScript Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | arucogen Summary

arucogen is a JavaScript library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. arucogen has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Online ArUco markers generator.

Support

Quality

Security

License

Reuse

Support

arucogen has a low active ecosystem.

It has 311 star(s) with 42 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 5 have been closed. On average issues are closed in 206 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of arucogen is current.

Quality

arucogen has 0 bugs and 0 code smells.

Security

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

arucogen code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

arucogen is licensed under the MIT License. This license is Permissive.

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

Reuse

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

It has 161 lines of code, 0 functions and 3 files.

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

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arucogen Key Features

No Key Features are available at this moment for arucogen.

arucogen Examples and Code Snippets

No Code Snippets are available at this moment for arucogen.

Community Discussions

Trending Discussions on arucogen

ArUco Markers are not detected

How to generate fiducial markers for BoofCV?

QUESTION

ArUco Markers are not detected

Asked 2022-Feb-16 at 07:56

I'm trying to detect the ArUco markers in this image:

using this code:

...

ANSWER

Answered 2022-Feb-16 at 07:56

The picture is a mirror image of the markers.

ArUco markers will not be decoded when they're mirrored.

Prevent/undo the mirroring. Find the device/driver setting that does this.

flipped = cv.flip(img, 1) flips the image around the Y-axis.

Source https://stackoverflow.com/questions/71126639

QUESTION

How to generate fiducial markers for BoofCV?

Asked 2020-Jan-31 at 05:23

I'm wanting to use BoofCV with Processing, but its recognition of any size of ArUco markers generated by this tool is unstable. Is there a resource or an app where I can get or generate a collection of markers that will be consistently recognized by BoofCV in Processing?

...

ANSWER

Answered 2020-Jan-31 at 05:23

BoofCV doesn't work with Aruco Markers, yet at least. It's been on the wish list for a while now since everything needed to process Aruco Markers is there but it doesn't support their dictionaries.

https://boofcv.org/index.php?title=Tutorial_Fiducials

Instructions for creating BoofCV markers is there. Basically you can use a command line tool for creating PDFs. There might even be a GUI, I can't remember, but it's not difficult.

Source https://stackoverflow.com/questions/59987555

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

Vulnerabilities

No vulnerabilities reported

Install arucogen

You can download it from GitHub.

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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