OpenCVTest | 基于OpenCV实现人脸检测和智能选区截图(仿扫描王APP)的功能 | Computer Vision library

 by   DymanZy Java Version: Current License: No License

kandi X-RAY | OpenCVTest Summary

kandi X-RAY | OpenCVTest Summary

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


            kandi-support Support

              OpenCVTest has a low active ecosystem.
              It has 28 star(s) with 6 fork(s). There are 1 watchers for this library.
              It had no major release in the last 6 months.
              OpenCVTest has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of OpenCVTest is current.

            kandi-Quality Quality

              OpenCVTest has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              OpenCVTest 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

              OpenCVTest 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed OpenCVTest and discovered the below as its top functions. This is intended to give you an instant insight into OpenCVTest implemented functionality, and help decide if they suit your requirements.
            • Initialize the camera .
            • Installs OpenCV manager .
            • Called when the OpenCV application is connected .
            • Convert Vector3 points to matrices .
            • Delivers the camera frame .
            • Initializes OpenCV library .
            • Returns a string representation of a CVType .
            • Determine the points of this shape .
            • Measure FPS .
            • Calculate calibration matrix values
            Get all kandi verified functions for this library.

            OpenCVTest Key Features

            No Key Features are available at this moment for OpenCVTest.

            OpenCVTest Examples and Code Snippets

            No Code Snippets are available at this moment for OpenCVTest.

            Community Discussions


            schedule library how to pass an arg in parallel execution
            Asked 2022-Mar-03 at 03:10

            I am experimenting with the schedule library with Python and they have some examples on how to pass an argument as shown below in the greet function:



            Answered 2022-Mar-03 at 03:07

            You can pass the arguments to a class and create instances of the class for every thread.



            How to fix warning "Found OpenCV Windows Pack but it has no binaries compatible with your configuration"?
            Asked 2022-Feb-01 at 18:13

            I am trying to use OpenCV in VS Code. Here's what I've done:

            Installed OpenCV for windows.

            Added "C:\opencv\build\x64\vc15\bin","C:\opencv\build\x64\vc15\lib" PATH environment variable.

            Here's my CMakeLists.txt file.



            Answered 2022-Feb-01 at 15:04

            As the error suggests, CMake found your OpenCV installation, but it is not compatible. What is it not compatible with? Your compiler. The OpenCV installation is built with MSVC 15 (it also includes a 14 build). You have asked CMake to use MinGW as your compiler. Libraries need to have been built with the same (well, with some leeway) compiler for everything to work.

            You have two options:

            • Build OpenCV yourself with MinGW, or try a third-party MinGW binary distribution of OpenCV. Web searches for "opencv mingw" turn up some possibilities.
            • Use the MSVC compiler for your project. Microsoft offers some free versions of its tools. Just be sure to install the optional older toolsets so that you have access to the VC 15 tools to match OpenCV.



            Integrating OpenCV with XCode - Excluded Architecture
            Asked 2022-Jan-27 at 10:42
            Tried to use OpenCV library in swift.

            The library forces me to implement changes below :

            Otherwise, without those changes i get an error:

            Also in this App i want the user to pick an image from phone's gallery. To handle it, I'm using PHPicker. However, with Excluded Architectures set, I'm not able to pick any image from the gallery, there's buch of errors/warnings in Terminal. Without Excluded Architectures app will crash with Error as at second screen. Any ideas or tips ?

            Error from screen ...


            Answered 2022-Jan-27 at 10:42

            so, building for iOS Simulator, but linking in object file built for iOS, for architecture arm64 I guess that means you need the library built for the simulator, not for the actual target device.

            It works when you try compile it, using real iPhone/iPad



            The program has unexpectedly finished in QT opencv
            Asked 2021-Mar-20 at 08:47

            I know that this has been posted many times,but I could not find the solution from previous posts. I followed tutorial on How to setup Qt and openCV on Windows from wiki Qt.

            My .pro file and mainwindows.cpp are shown below. I wanted to open image following the example. What is wrong here? Checked the opencv version and it is the same as libs included. The PATH is also correct. The cpp file



            Answered 2021-Mar-16 at 18:09

            When program crashes like that under Qt Creator, and you have extra libraries, the very likely reason is that the extra libraries are missing from the runtime PATH.

            In this case, you need to add C:\opencv-build\bin to the PATH. There are at least 3 ways to go about it.

            1. Edit the system environment, so that the relevant directory is always in the system PATH. You need to restart Qt Creator for this change to take effect. This is not the recommended way, unless you actually want these things in there also for other purposes.

            2. You can edit the Build environment of the project under Qt Creator Project view. There's separate configuration for each build type, so you may need to do this to them all separately, which both good and bad. It is good, because then you can have different directory for different builds (for example debug vs relase, MSVC vs MinGW builds). It's bad because it's extra hassle and makes it easier to have something wrong.

            3. You can add it to the run environment in the Qt Creator Project view. Then it will be the same for all build types.

            In this case, 3 is probably the way to go.

            Qt Creator annoyingly does not display any information about which DLL is missing, it just says the program crashed. This can be solved by instead string the "Qt command prompt" for the correct toolchain from Windows Start menu (search Qt and you should find it). Then go to the built .exe directory and run the .exe. You should now get an error dialog where Windows tells you which DLL it failed to find. Then you can look where that DLL is and add it to the path and try again, until the program starts. After you know the directories using this method, you can then add them to Qt Creator as explained above.



            OpenCV Video Capture nonfunctional as class member (C++)
            Asked 2020-Nov-10 at 18:30

            My application requires that the OpenCV VideoCapture object be used as a member variable. There is no way around this requirement.

            I am experiencing strange behavior when using cv::VideoCapture as a member of a user-defined class. I've run the following code:



            Answered 2020-Nov-10 at 18:30


            The real problem is in this line



            fatal error: opencv2/opencv_modules.hpp: No such file or directory #include "opencv2/opencv_modules.hpp"
            Asked 2020-Aug-17 at 17:51

            Hello all I am trying to use opencv-c++ API (version 4.4.0) which I have built from source. It is installed in /usr/local/ and I was simply trying to load and display an image using the following code -



            Answered 2020-Aug-17 at 17:51

            The solution is to just include_directories path till /usr/local/opencv4 and it works perfectly.

            However, the best way I believe is to use the find_package function. I updated my Cmake to the following and it takes care of linking during build.


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


            No vulnerabilities reported

            Install OpenCVTest

            You can download it from GitHub.
            You can use OpenCVTest 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 OpenCVTest 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 .
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