MyRealTimeImageProcessing | real time image processing in Android using OpenCV | Computer Vision library

 by   ikkiChung Java Version: Current License: No License

kandi X-RAY | MyRealTimeImageProcessing Summary

kandi X-RAY | MyRealTimeImageProcessing Summary

MyRealTimeImageProcessing is a Java library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. MyRealTimeImageProcessing has no bugs, it has no vulnerabilities and it has low support. However MyRealTimeImageProcessing build file is not available. You can download it from GitHub.

Example of how to do real time image processing in Android using OpenCV. This article teaches how to pass camera preview frame to android-opencv on the fly.

            kandi-support Support

              MyRealTimeImageProcessing has a low active ecosystem.
              It has 79 star(s) with 47 fork(s). There are 7 watchers for this library.
              It had no major release in the last 6 months.
              There are 1 open issues and 1 have been closed. On average issues are closed in 28 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of MyRealTimeImageProcessing is current.

            kandi-Quality Quality

              MyRealTimeImageProcessing has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

              MyRealTimeImageProcessing releases are not available. You will need to build from source code and install.
              MyRealTimeImageProcessing has no build file. You will be need to create the build yourself to build the component from source.
              MyRealTimeImageProcessing saves you 67 person hours of effort in developing the same functionality from scratch.
              It has 174 lines of code, 9 functions and 5 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed MyRealTimeImageProcessing and discovered the below as its top functions. This is intended to give you an instant insight into MyRealTimeImageProcessing implemented functionality, and help decide if they suit your requirements.
            • Performs onPause
            • Stop the camera preview
            • Initialize this window
            • Called when camera is changed
            • Initialize the preview
            • Called when the camera is destroyed
            • Called when a preview frame is received
            Get all kandi verified functions for this library.

            MyRealTimeImageProcessing Key Features

            No Key Features are available at this moment for MyRealTimeImageProcessing.

            MyRealTimeImageProcessing Examples and Code Snippets

            No Code Snippets are available at this moment for MyRealTimeImageProcessing.

            Community Discussions

            Trending Discussions on MyRealTimeImageProcessing


            Android OpenCV convertTo() from CV_32FC4 to CV_8UC4
            Asked 2017-Nov-08 at 15:55

            I'm just new to Android & OpenCV and currently I'm using this project for real-time image processing. I am using the native code cpp from the project to implement the algorithm that I need which involves mathematical operations with float numbers applying modifications for the RGB channels for each pixel. Therefore I think it's just appropriate to use CV_32FC4 for the first matrix. Adjustments I did in the cpp:



            Answered 2017-Nov-08 at 15:55
            • You're working on a 4 channel float matrix, so you should access it with Vec4f.
            • You don't need to initialize the output matrix from a OpenCV function in general. So just use Mat mResult; and cvtColor will take care of creating it correctly.
            • You don't need to access a pixel with Point, simply pass the rows and cols coordinates.

            So the code becomes:


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


            No vulnerabilities reported

            Install MyRealTimeImageProcessing

            You can download it from GitHub.
            You can use MyRealTimeImageProcessing like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the MyRealTimeImageProcessing component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer For Gradle installation, please refer .


            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 ikkiChung/MyRealTimeImageProcessing

          • 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