blur-detection | Some implementations of algorithms for blur detection | Computer Vision library

by tokenrove C Version: Current License: ISC

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

kandi X-RAY | blur-detection Summary

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

Some implementations of algorithms for blur detection in JPEGs

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Quality

Security

License

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Support

blur-detection has a low active ecosystem.

It has 128 star(s) with 51 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 4 have been closed. On average issues are closed in 94 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of blur-detection is current.

Quality

blur-detection has 0 bugs and 0 code smells.

Security

blur-detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

blur-detection code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

blur-detection 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

blur-detection releases are not available. You will need to build from source code and install.

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blur-detection Key Features

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blur-detection Examples and Code Snippets

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Community Discussions

Trending Discussions on blur-detection

Image blur detection for iOS in Objective C

Want to detect blur from image, but couldn't get it right

QUESTION

Image blur detection for iOS in Objective C

Asked 2021-Feb-02 at 18:20

I am trying to determine if an image captured from the camera is iOS is blurry or not. I already check the camera focus before taking the picture, but this seems different that if the image is blurry.

I got this working on Android using Open CV, OpenCV with Laplacian formula to detect image is blur or not in Android

This ends up with,

...

ANSWER

Answered 2021-Jan-22 at 06:35

There is a sample project from Apple that shows how to find the sharpest image in a sequence of captured images using the Accelerate framework. This might be useful as a starting point.

Source https://stackoverflow.com/questions/65834934

QUESTION

Want to detect blur from image, but couldn't get it right

Asked 2020-Jun-29 at 12:43

I am actually want to convert this blur detection into C++. As a beginner in OpenCV, I am actually following this for conversion, But maybe I am getting it wrong. Here is my approach. I have to use DFT instead of FFT in C++.

...

ANSWER

Answered 2020-Jun-29 at 12:43

I think this comes close to the original Python code

Source https://stackoverflow.com/questions/62611751

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

Vulnerabilities

No vulnerabilities reported

Install blur-detection

You can download it from GitHub.

Support

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