GuidedFilter | Implementation and Comparison of Guided Filter | Widget library

by clarkzjw C++ Version: Current License: No License

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

kandi X-RAY | GuidedFilter Summary

GuidedFilter is a C++ library typically used in User Interface, Widget, Example Codes applications. GuidedFilter has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This repo contains different implementations of Guided Filter. Update: I reported this to opencv_contrib maintainer, see issues here

Support

Quality

Security

License

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Support

GuidedFilter has a low active ecosystem.

It has 9 star(s) with 6 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of GuidedFilter is current.

Quality

GuidedFilter has no bugs reported.

Security

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

License

GuidedFilter 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

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

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GuidedFilter Key Features

No Key Features are available at this moment for GuidedFilter.

GuidedFilter Examples and Code Snippets

No Code Snippets are available at this moment for GuidedFilter.

Community Discussions

Trending Discussions on GuidedFilter

OpenCV Merge Mertens taking way more time on C++ as compared to Python

How to properly convert Bitmap to OpenCV grayscale Mat

QUESTION

OpenCV Merge Mertens taking way more time on C++ as compared to Python

Asked 2020-Apr-29 at 20:07

I have implemented an image enhancement technique that uses OpenCV's Merge Mertens. I have coded it in Python and C++. On same set of images of same size and dimensions, Merge Mertens takes less than 2 seconds on Python while taking 11 seconds on C++. I want my C++ code to be faster as I have to deploy it on android devices.

Moreover, I tried to implemented another exposure fusion technique on both Python and C++. Below is my implementation of Fast Exposure Fusion in Python. In python it takes 2 seconds but when translated to C++, it takes 12 seconds.

...

ANSWER

Answered 2020-Apr-29 at 20:07

So I just realised that I was facing this problem due to running my code in debug mode. When I switched to release mode the performance was similar to that of python. I would leave this here incase someone runs in to similar problem making same mistake as me.

Source https://stackoverflow.com/questions/61425956

QUESTION

How to properly convert Bitmap to OpenCV grayscale Mat

Asked 2019-Jul-16 at 09:40

I want to use this library inside Android project with integrated OpenCV module.

Native function code:

...

ANSWER

Answered 2019-Jul-16 at 09:40

I decided to just save Bitmaps on external storage, because bitmap conversion process is 30-40% slower, and then just pass absolute paths into native function:

Source https://stackoverflow.com/questions/57028836

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

Vulnerabilities

No vulnerabilities reported

Install GuidedFilter

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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