glymur | Python interface to OpenJPEG library for reading and writing JPEG 2000 images | Messaging library

 by   quintusdias Python Version: 0.13.2.post1 License: MIT

kandi X-RAY | glymur Summary

kandi X-RAY | glymur Summary

glymur is a Python library typically used in Messaging applications. glymur has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However glymur build file is not available. You can install using 'pip install glymur' or download it from GitHub, PyPI.

glymur contains a Python interface to the OpenJPEG library which allows one to read and write JPEG 2000 files. glymur works on Python 3.7, 3.8, 3.9, and 3.10. Please read the docs,
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              glymur has a low active ecosystem.
              It has 53 star(s) with 22 fork(s). There are 4 watchers for this library.
              There were 4 major release(s) in the last 6 months.
              There are 13 open issues and 579 have been closed. On average issues are closed in 11 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of glymur is 0.13.2.post1

            kandi-Quality Quality

              glymur has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              glymur is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              glymur releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              glymur has no build file. You will be need to create the build yourself to build the component from source.
              glymur saves you 5062 person hours of effort in developing the same functionality from scratch.
              It has 10648 lines of code, 878 functions and 34 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed glymur and discovered the below as its top functions. This is intended to give you an instant insight into glymur implemented functionality, and help decide if they suit your requirements.
            • Copy the image
            • Initialize the dataset .
            • Command line interface for tiff2jp .
            • Parse Z segment .
            • Print geotiff .
            • Read tile header .
            • Parse a superbox box .
            • Parse command line arguments .
            • Set an option .
            • Setup the first tile .
            Get all kandi verified functions for this library.

            glymur Key Features

            No Key Features are available at this moment for glymur.

            glymur Examples and Code Snippets

            Python open jp2 medical images - Scipy, glymur
            Pythondot img1Lines of Code : 15dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            $ time convert sekscir25.jp2 x.jpg
            real    0m25.378s
            user    0m24.832s
            sys 0m0.544s
            
            $ time convert sekscir25.jp2 -crop 100x100+0+0 x.png
            real    0m19.887s
            user    0m19.380s
            sys 0m0.504s
            
            $ t
            Python open jp2 medical images - Scipy, glymur
            Pythondot img2Lines of Code : 2dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            vips dzsave image.mrxs targetdirectoryname --depth one --tile-size 2048 --overlap 0
            

            Community Discussions

            QUESTION

            Python open jp2 medical images - Scipy, glymur
            Asked 2018-Apr-18 at 09:29

            I am trying to read and tile a jp2 image file. The image is RGB 98176 x 80656 pixels (it is medical image data).

            When trying to read the image with glymur I get this error:

            ...

            ANSWER

            Answered 2017-Apr-20 at 13:14

            The standard thing for reading huge medical images is openslide, I'd try that first. I'm not sure it will read jp2 directly, but assuming this is from a slide scanner, perhaps you could save in one of the formats that openslide supports?

            ImageMagick will load sections of large jp2 images via OpenJPEG, though it's not especially quick. I have a 10k x 10k jp2 image here, for example, and if I convert to JPG I see:

            Source https://stackoverflow.com/questions/43489810

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

            Vulnerabilities

            No vulnerabilities reported

            Install glymur

            You can install using 'pip install glymur' or download it from GitHub, PyPI.
            You can use glymur 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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            Install
          • PyPI

            pip install Glymur

          • CLONE
          • HTTPS

            https://github.com/quintusdias/glymur.git

          • CLI

            gh repo clone quintusdias/glymur

          • sshUrl

            git@github.com:quintusdias/glymur.git

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