ColorHistogram | Simple demos of Color Histogram | Data Visualization library

by tody411 Python Version: Current License: MIT

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

kandi X-RAY | ColorHistogram Summary

ColorHistogram is a Python library typically used in Analytics, Data Visualization, Numpy, Pandas applications. ColorHistogram 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.

Color Histogram Demo (Python).

Support

Quality

Security

License

Reuse

Support

ColorHistogram has a low active ecosystem.

It has 70 star(s) with 28 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 559 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ColorHistogram is current.

Quality

ColorHistogram has 0 bugs and 0 code smells.

Security

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

ColorHistogram code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ColorHistogram 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

ColorHistogram 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.

ColorHistogram saves you 425 person hours of effort in developing the same functionality from scratch.

It has 1008 lines of code, 153 functions and 33 files.

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

Top functions reviewed by kandi - BETA

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

Save an image
Convert an image to RGB
Return the alpha of an image
Convert RGBA to RGBA
Plot the histogram
Set axis limits
Convert a range of ticks to limits
Convert a range of ticks to ticks
Compute the histogram
Clips low density in histogram
Load data from file
Load RGB from file
Return data file associated with data_id
Return a list of all data files in the data directory
The color coordinates of the image
Labels
Hsv of the hsv
Compute target pixel coordinates
Compute the target pixel pixels
Coordinates of the image
Normalize x
Returns the color coordinates of the image
Load RGB image
Load RGBA
Return luminosity of an RGB image
Set the alpha of the image
Compute target pixel pixels

Get all kandi verified functions for this library.

ColorHistogram Key Features

No Key Features are available at this moment for ColorHistogram.

ColorHistogram Examples and Code Snippets

No Code Snippets are available at this moment for ColorHistogram.

Community Discussions

Trending Discussions on ColorHistogram

Get value inside XElement

QUESTION

Get value inside XElement

Asked 2017-Apr-06 at 12:28

I've been trying forever using Descendants, Elements and attributes to retrieve data from an XML file that I'm writing to save metadata. I can't at the moment and it's blocking my work. When I was using Linq to XML, I was yielding no value whatsoever and I couldn't under why happening.

Quick look into the xml file

...

ANSWER

Answered 2017-Apr-06 at 12:28

Try following :

Source https://stackoverflow.com/questions/43246184

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

Vulnerabilities

No vulnerabilities reported

Install ColorHistogram

You can download it from GitHub.
You can use ColorHistogram 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 .

Find more information at: