build_opencv | multiarch cross compiling environment for opencv | Computer Vision library

 by   lhelontra Shell Version: Current License: MIT

kandi X-RAY | build_opencv Summary

kandi X-RAY | build_opencv Summary

build_opencv is a Shell library typically used in Artificial Intelligence, Computer Vision, OpenCV, Qt5, Raspberry Pi, JavaFX applications. build_opencv has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Multiarch cross compiling environment for opencv.
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              build_opencv has a low active ecosystem.
              It has 11 star(s) with 3 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of build_opencv is current.

            kandi-Quality Quality

              build_opencv has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              build_opencv 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

              build_opencv releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            build_opencv Key Features

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            build_opencv Examples and Code Snippets

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            Community Discussions

            QUESTION

            OpenCV returns no error when open is called, but gstreamer does
            Asked 2022-Jan-11 at 18:17

            I have the problem when I open a camera with GStreamer, and the camera is not connected, I don't get an error code back from OpenCV. GStreamer returns an error in the console. When I check if the camera is open with .isOpend() the return value is true. When the camera is connected, it works without any issue.

            ...

            ANSWER

            Answered 2022-Jan-11 at 18:17

            This may just be because of a typo. nvarguscamerasrc has no property sensor_id but has sensor-id. It should work after fixing this.

            In not working case, cap.read() should return false.

            Source https://stackoverflow.com/questions/70669183

            QUESTION

            OpenCV Docker multistage build - cannot install prebuilt source
            Asked 2020-Sep-15 at 06:48

            I'm trying to build a Docker image including a very particular configuration of OpenCV with CUDA and GPU support.

            The build succeeds, and if I make install it from the same context that built the image, it works with no problems.

            The problem happens when I try to use a multi stage build, to avoid keeping all the dependencies needed to build OpenCV. Before you continue reading, what follows might actually be an XY problem, if you have a better solution on how to copy OpenCV build artifacts (including Python bindings!) in a Docker multistage build, that is my actual intent.

            Now for my attempted solution and the struggle I have:

            I run COPY --from=requirements /opencv /opencv and it works and it apparently copies everything in the right path (I checked the filesystem). But, when I run from the build folder make install, I get this CMake error:

            ...

            ANSWER

            Answered 2020-Sep-15 at 06:48

            It is simpler to run cmake & make and make install in the same stage and then copy the install folders. It will allow to not have any build tools like cmake or build-essential in the final docker image.

            We will use a custom CMAKE_INSTALL_PREFIX so that OpenCV binaries are installed to a directory and we can copy it straight to the next stage. Using a custom prefix will avoid having to copy CUDA installation or development libraries no longer required. Then we will run ldconfig on that directory to link the libraries as usual.

            Modify the build script to use a custom CMAKE_INSTALL_PREFIX:

            Source https://stackoverflow.com/questions/63592138

            QUESTION

            Install Opencv from source to conda environment
            Asked 2020-Aug-04 at 10:34

            I would like to install opencv to my conda environment from source. Since I'm using Jetson, there is no pip or conda packages that are available for opencv.

            I use this command for installing from source,

            ...

            ANSWER

            Answered 2020-Aug-04 at 10:34

            By default it will install to your system Python path which you can see by entering:

            Source https://stackoverflow.com/questions/63241608

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

            Vulnerabilities

            No vulnerabilities reported

            Install build_opencv

            You can download it from GitHub.

            Support

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          • HTTPS

            https://github.com/lhelontra/build_opencv.git

          • CLI

            gh repo clone lhelontra/build_opencv

          • sshUrl

            git@github.com:lhelontra/build_opencv.git

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