OpenCVDemo | Face detection and recognition using OpenCV | Computer Vision library

 by   andreaiacono Java Version: Current License: No License

kandi X-RAY | OpenCVDemo Summary

kandi X-RAY | OpenCVDemo Summary

OpenCVDemo is a Java library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. OpenCVDemo has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This is a toy project for testing OpenCV classifiers and face recognition. It works with OpenCV 3.1 and Java and looks like this:.
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            kandi-support Support

              OpenCVDemo has a low active ecosystem.
              It has 13 star(s) with 10 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of OpenCVDemo is current.

            kandi-Quality Quality

              OpenCVDemo has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              OpenCVDemo 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

              OpenCVDemo 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 available. Examples and code snippets are not available.
              OpenCVDemo saves you 636876 person hours of effort in developing the same functionality from scratch.
              It has 317590 lines of code, 89 functions and 40 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed OpenCVDemo and discovered the below as its top functions. This is intended to give you an instant insight into OpenCVDemo implemented functionality, and help decide if they suit your requirements.
            • Creates the menu bar
            • Change the recognizer status
            • Remove a detector with the given name
            • Check for the default face classifier
            • Detects elements inside the specified image
            • Detects the elements inside the inputFrame
            • Attempts to recognize a face
            • The main method
            • Gets the images
            • Converts an array of images into a summary
            • Initialize the error pane
            • Updates the details of the scroll pane
            • Creates the main application
            • Taken from camera
            • Detects background image
            • Display training dialog
            • Sets up the camera
            • Loads all classifiers from the given directory
            • Creates the summary map
            • Compares two ElementDetectors
            • Gets the images files
            • Convert Exception to String
            • Start capturing
            • Stop capturing
            Get all kandi verified functions for this library.

            OpenCVDemo Key Features

            No Key Features are available at this moment for OpenCVDemo.

            OpenCVDemo Examples and Code Snippets

            No Code Snippets are available at this moment for OpenCVDemo.

            Community Discussions

            QUESTION

            Config.cmake missing error in Rasberry pi cross compiling setup
            Asked 2020-Aug-27 at 12:43

            I am trying to build a cross compiling system on ubuntu 16.04 to shorten the compile time.

            I have installed the tools and copied libs from the raspberry pi and definitely a simple "Hello world" example works very well.

            The problem occurred when I tried to build a program with cmake and opencv. Obviously it does not find OpenCVConfig.cmake in the host system as it only exists on rpi in the following folder:

            /usr/local/lib/cmake/opencv4$

            Can I just copy /usr/local/lib/cmake folder to host computer and manually modify the library install path or how should I do it?

            Error message:

            Could not find a package configuration file provided by "OpenCV" with any of the following names:

            ...

            ANSWER

            Answered 2020-Aug-26 at 13:43

            In your scenario, you have the package installed in a custom location.

            You can try the following (from the cmake manual):

            The default search order is designed to be most-specific to least-specific for common use cases. Projects may override the order by simply calling the command multiple times and using the NO_* options:

            find_package ( PATHS paths... NO_DEFAULT_PATH)

            Source https://stackoverflow.com/questions/63474356

            QUESTION

            Tree structure in Java for Android error
            Asked 2017-May-21 at 01:18

            I have this Class that represents a tree...

            ...

            ANSWER

            Answered 2017-May-21 at 01:18

            I wanted to flag this question as a duplicate of the below question, but seems I can't do that because that one does not have an accepted answer. But basically, the solution is there.

            Getting stackoverflowerror from Gson while converting hashmap to JSON object

            So how can we fix this? It depends on what behavior you want. One easy option is to prevent Gson from attempting to serialize the parent field (we don't need it, as we can reconstruct it from the children list). To do this just mark parent as transient and Gson will not include it in the result.

            Source https://stackoverflow.com/questions/44089406

            QUESTION

            mips64el-linux-android-g++: error: unrecognized command line option '-mfpu=neon'
            Asked 2017-Mar-31 at 18:21

            I am trying to run a NDK and OpenCV related project. The project builds errorless. But when i run the application I get the error:

            mips64el-linux-android-g++: error: unrecognized command line option '-mfpu=neon'

            My Application.mk file looks like this:

            ...

            ANSWER

            Answered 2017-Mar-29 at 22:19

            By default you'll build for every NDK ABI: arm5, arm7, arm64, mips, mips64, x86, and x86_64, but -mfpu=neon is only valid for arm7 and arm64.

            In general for cases like this you need to protect architecture specific flags by testing against TARGET_ARCH_ABI, but for NEON support there's a flag just for this:

            Source https://stackoverflow.com/questions/43095113

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

            Vulnerabilities

            No vulnerabilities reported

            Install OpenCVDemo

            For installing OpenCV with Java on Ubuntu, I've followed this tutorial: http://milq.github.io/install-opencv-ubuntu-debian/ ; if you're using Mac or Windows, I'm sure it's plenty of tutorial on how to do that. Please note that when you have to download the archive from github repository, you first have to choose the 3.1.0 tag (the download link is https://github.com/Itseez/opencv/archive/3.1.0.zip).

            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://github.com/andreaiacono/OpenCVDemo.git

          • CLI

            gh repo clone andreaiacono/OpenCVDemo

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            git@github.com:andreaiacono/OpenCVDemo.git

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