imagio | Image Processing Web Service | Computer Vision library

 by   3d0c Go Version: 0.2 License: MIT

kandi X-RAY | imagio Summary

kandi X-RAY | imagio Summary

imagio is a Go library typically used in Artificial Intelligence, Computer Vision, OpenCV, Docker applications. imagio has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

There are two ways to build it, using the statically linked OpenCV libraries, which are attached to the release package or build it self. If You don't have OpenCV and don't plan to use it further, just follow step 2.1.

            kandi-support Support

              imagio has a low active ecosystem.
              It has 90 star(s) with 12 fork(s). There are 7 watchers for this library.
              It had no major release in the last 12 months.
              There are 3 open issues and 3 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 imagio is 0.2

            kandi-Quality Quality

              imagio has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              imagio 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

              imagio releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              It has 1065 lines of code, 52 functions and 12 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed imagio and discovered the below as its top functions. This is intended to give you an instant insight into imagio implemented functionality, and help decide if they suit your requirements.
            • Construct a new roi object
            • Run the main process
            • blend takes a base image and returns the result .
            • PrimaryActions takes two options and returns a new set of options .
            • parseQuery parses the query and returns options .
            • initCacheGroup initializes the cache group
            • Get returns the configuration from the config file
            • resize resizes the image
            • Filters filters b according to the options .
            • initCvRect returns a new CvRect .
            Get all kandi verified functions for this library.

            imagio Key Features

            No Key Features are available at this moment for imagio.

            imagio Examples and Code Snippets

            No Code Snippets are available at this moment for imagio.

            Community Discussions


            Saving a 3D animated mayavi figure into a in-memory file (buffer)
            Asked 2022-Jan-31 at 03:48

            I want to save a gif or a mp4 of an animated 3D figure I build with mayavi.

            When I was doing similar things with 2D figures and imagio, I could save the data to a buffer and append them to a imagio writer. That was very fast and saved the trouble of generating thousands of intermediary png files. However, I can not find a way to save them mayavi figure to a buffer rather than a file.



            Answered 2022-Jan-31 at 03:48

            From mayavi documentation:

            Starting from Mayavi version 3.4.0, the mlab screenshot() can be used to take a screenshot of the current figure, to integrate in a matplotlib plot.

            So one can actually totally bypass the code relative to BytesIO, and directly invoke the imagio writer with writer.append_data(mlab.screenshot()):



            cropping in image into an cricle
            Asked 2021-Apr-15 at 07:49

            I want to crop an image which is rectangular , into a circle of specific diameter. I am able to do it through graphics2D, and I get the image saved, but, when I read it through ImagIO, i get the full image again inspite to it being cropped to a circle. the image is a masked circle, and evrything outside is discarded like a mask. I am attaching the image here. inspite of it being clipped, i get the full image rendered, when i read it through imageIO. here is the code.



            Answered 2021-Apr-15 at 07:49

            Here's my take. I rewrote some parts for performance and better fidelity (I couldn't get the edges of the circular area antialiased using clip). Although your code should also work, in general.



            How to convert from scipy.misc.imresize to imageio
            Asked 2021-Jan-20 at 17:00

            Hi I'm running a slightly expensive aws... And trying to solve old scipy.imread to the new standard.

            In this file



            Answered 2021-Jan-20 at 17:00

            imresize is not part of scipy anymore. You can either downgrade to scipy i.e. 1.2.1 or install scikit-image and call skimage.transform.resize instead


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


            No vulnerabilities reported

            Install imagio

            You can download it from GitHub.


            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:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
          • HTTPS


          • CLI

            gh repo clone 3d0c/imagio

          • sshUrl


          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link