GuidedFilter | Simple python demos of Guided Image Filtering | Computer Vision library

by tody411 Python Version: Current License: MIT

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

kandi X-RAY | GuidedFilter Summary

GuidedFilter is a Python library typically used in Artificial Intelligence, Computer Vision applications. GuidedFilter has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Guided Imaged Filtering Demo (Python).

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Quality

Security

License

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Support

GuidedFilter has a low active ecosystem.

It has 97 star(s) with 22 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 1 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of GuidedFilter is current.

Quality

GuidedFilter has 0 bugs and 136 code smells.

Security

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

GuidedFilter code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

GuidedFilter 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

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 658 lines of code, 87 functions and 21 files.

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

Top functions reviewed by kandi - BETA

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

Filter the image
Resize the input array
Convert an image to 32F
Filters the image using the specified filter
Downsample an I
Save an image
Convert an RGB image to RGB
Convert RGBA color to RGBA
Return alpha of an image
Convert an image to 8 bytes
Compute luminance of an RGB image
Convert an RGB color to Labels
Load RGBA
Convert a PNG image to RGBA
Normalize x
L2 norm of x
Set the alpha of an image
Filters the input image
Load RGB image from file

Get all kandi verified functions for this library.

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

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

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

Vulnerabilities

No vulnerabilities reported

Install GuidedFilter

You can download it from GitHub.
You can use GuidedFilter 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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