There is no Java - C++ boundary to jump to and project delivery/shipping just by delivering shared object. There is a callback function imageCallback inside the object NDKCamera, it gives you captured images for further processing, this image can further be converted to OpenCV Mat object or any other object that your frameworks requires. ndk-cam: This is merely a minimalistic boiler plate code to create textureView and render onto the screen.Currently the Makefile is quite rudimentary and build for ABI type arm64-v8a, similarly more targets can be added. Drop this shared object to jnilibs folder, in ndk-cam project. Once you build the code it will generate lib/libndksamplecam.so. Or if you already have NDK installed using Android Studio? It must be somewhere here -> ~/Library/Android/sdk/ndk/646 (on my macbook). For this you need to download the version of NDK (cross compilation toolchain for android devices) you need (anything above API version 24) and set the appropriate path in the Makefile. ndk_so: Its a standalone c++ code for camera control and there is no need to use Android Studio (c++ folks would surely love it), just build it from the command line.With NDK Camera 2 APIs released as part of Android 7( API version 24) it has become a blessing for developers and delight for C/C++ lovers.Įxample: image processing can be done much efficiently using OpenCV compared to what is available at JAVA plane ( getPixel()/setPixel(), Glide Image Transformation, ColorMatrix, Renderscript ) There are various Good reasons that such applications should be implemented in native code( c++ planes alone). For Machine learning or images processing ( OpenCV) applications on Android, it's often divided into two planes: part of it in JAVA and other part in c++(using NDK).
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