color-thief-py | Grabs the dominant color or a representative color palette from an image Uses Python and Pillow | Computer Vision library

by fengsp Python Version: 0.2.1 License: Non-SPDX

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

kandi X-RAY | color-thief-py Summary

color-thief-py is a Python library typically used in Artificial Intelligence, Computer Vision applications. color-thief-py has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However color-thief-py has a Non-SPDX License. You can install using 'pip install color-thief-py' or download it from GitHub, PyPI.

Grabs the dominant color or a representative color palette from an image. Uses Python and Pillow.

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color-thief-py has a medium active ecosystem.

It has 888 star(s) with 111 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 17 open issues and 5 have been closed. On average issues are closed in 205 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of color-thief-py is 0.2.1

Quality

color-thief-py has 0 bugs and 6 code smells.

Security

color-thief-py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

color-thief-py code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

color-thief-py has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

color-thief-py releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

color-thief-py saves you 134 person hours of effort in developing the same functionality from scratch.

It has 337 lines of code, 30 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Get a palette from the image
Apply median cut
Quantize the given pixels
Generate a VBox from the given pixels
Get a histogram of the given pixel values
Push a vbox to the list
Removes the item from the list
Sorts the contents
Add an item to the list
Get color index
Return the size of the file
Compute the average color of the image
Get the color
Count the number of pixels in the background
Return the palette as a palette
Returns the nearest color to the given color
Returns True if the given pixel is contained within this region
Map a color to a given color
Return the item at the specified index
Returns the size of the bounding box

Get all kandi verified functions for this library.

color-thief-py Key Features

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color-thief-py Examples and Code Snippets

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Community Discussions

Trending Discussions on color-thief-py

Create a color palette image from a list of RGB color

QUESTION

Create a color palette image from a list of RGB color

Asked 2018-Aug-08 at 07:57

I use color thief to extract a color palette from an image.

How to create an image of rgb value as a Palette?

...

ANSWER

Answered 2018-Aug-08 at 07:57

A solution using imshow from Matplotlib:

Source https://stackoverflow.com/questions/51728957

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

Vulnerabilities

No vulnerabilities reported

Install color-thief-py

You can install using 'pip install color-thief-py' or download it from GitHub, PyPI.
You can use color-thief-py 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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