imghist | Build hue histograms and color pies from png files | Image Editing library

 by   tylerneylon Python Version: Current License: No License

kandi X-RAY | imghist Summary

kandi X-RAY | imghist Summary

imghist is a Python library typically used in Media, Image Editing applications. imghist has no bugs, it has no vulnerabilities and it has low support. However imghist build file is not available. You can download it from GitHub.

This is a python script to generate hue histograms and color pies from color png images. Some sample output of this script is explained here:.
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            kandi-support Support

              imghist has a low active ecosystem.
              It has 41 star(s) with 3 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 2 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of imghist is current.

            kandi-Quality Quality

              imghist has 0 bugs and 0 code smells.

            kandi-Security Security

              imghist has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              imghist code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              imghist does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              imghist releases are not available. You will need to build from source code and install.
              imghist has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              imghist saves you 105 person hours of effort in developing the same functionality from scratch.
              It has 268 lines of code, 16 functions and 1 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed imghist and discovered the below as its top functions. This is intended to give you an instant insight into imghist implemented functionality, and help decide if they suit your requirements.
            • parse parameters
            • Set the smoothing function .
            • Smooth the histogram
            • Draw the histogram .
            • Find the centroids of a list of points .
            • Draw a circle
            • Read an image .
            • Creates a parser .
            • Add a HEALPix pixel .
            • Generate k - means centers
            Get all kandi verified functions for this library.

            imghist Key Features

            No Key Features are available at this moment for imghist.

            imghist Examples and Code Snippets

            No Code Snippets are available at this moment for imghist.

            Community Discussions

            QUESTION

            Convesion vector Index exceeds array bounds - matlab
            Asked 2018-Nov-22 at 18:16

            I build some program in Matlab for "Histograma matching".
            When I'm trying to implement the function "conVector" I get the error "Index exceeds array bounds." anyone can help me with this error?

            Here is my full code. Thank you!

            ...

            ANSWER

            Answered 2018-Nov-22 at 18:16

            If all values in DNA(d:end) are smaller then the value in SNA(s) than the loop keep adding 1 to d but not to s, and finally goes out of bound because it conditioned only by s.

            I guess you should either take the s = s+1 out of the inner condition, so it will be executed on every iteration, or add a condition on d to the loop, or convert it to a for loop.

            Source https://stackoverflow.com/questions/53436138

            QUESTION

            Inconsistent results in cuda GPU accelerated code
            Asked 2017-Nov-16 at 08:28

            I was trying to compute Local Binary Patterns for a image on my GPU, utilising cuda module in python for the same. But the results produced by execution of similar algorithm on CPU and GPU is producing different results. Can you help me figure out the problem ?

            Below is the snippet of code I was trying to execute :

            ...

            ANSWER

            Answered 2017-Nov-16 at 08:28

            Now that you have fixed the glaringly obvious mistake in the original kernel code you posted, there are two problems which are preventing this code from working correctly.

            The first, and most serious, is a memory race in the kernel. This update of the histogram bins:

            Source https://stackoverflow.com/questions/47285162

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

            Vulnerabilities

            No vulnerabilities reported

            Install imghist

            Install pypng from here:.
            Install pypng from here:
            Install pycairo from here:
            Download or clone the python script from this github page:

            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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          • HTTPS

            https://github.com/tylerneylon/imghist.git

          • CLI

            gh repo clone tylerneylon/imghist

          • sshUrl

            git@github.com:tylerneylon/imghist.git

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