Android Application Programming with OpenCV 3 is a practical, hands-on guide to computer vision and mobile app development. It shows how to capture, manipulate, and analyze images while building an application that combines photography and augmented reality. To help the reader become a well-rounded developer, the book covers OpenCV (a computer vision library), Android SDK (a mobile app framework), OpenGL ES (a 3D graphics framework), and even JNI (a Java/C++ interoperability layer). Now in its second edition, the book offers thoroughly reviewed code, instructions, and explanations. It is fully updated to support OpenCV 3 and Android 5, as well as earlier versions. Although it focuses on OpenCV's Java bindings, this edition adds an extensive chapter on JNI and C++, so that the reader is well primed to use OpenCV in other environments.

参考国外网友的例子，新鲜出炉的demo，适用于在安卓手机操作摄像头每一帧的场景，比如人脸识别，运动检测等。 在qpython1.4.1运行通过，kivy打包也是没问题的。 修改main.py里面的detect函数就可以操作当前帧的画面了。 就这么任性。 下面是必应翻译给外国友人看的 Refer to the example of foreign netizens, fresh out of the demo, for the Android phone operating camera every frame of the scene, such as face recognition, motion detection. Running through the qpython1.4.1, Kivy packaging is no problem. Modify the main.py i

用手机对着另外一个手机（全屏显示红绿蓝）拍照，检测是否有坏点。 详情可以看我的博客 https://blog.csdn.net/Aaron121314/article/details/105244472

【Android OpenCV】Visual Studio 创建支持 OpenCV 库的 CMake 工程 ③ ( CMake 工程中配置 OpenCV 库文件 | 拷贝 OpenCV 函数库文件 ) https://hanshuliang.blog.csdn.net/article/details/128516414 源码快照 在 Visual Studio 2019 中打开 ; 需要修改 Windows 平台的 OpenCV 函数库 头文件 及 库文件搜索路径 ;

【Android OpenCV】Visual Studio 创建支持 OpenCV 库的 CMake 工程 ① ( 下载 OpenCV 库 | Windows 中安装 OpenCV 库 ) https://hanshuliang.blog.csdn.net/article/details/128515811 博客资源 一、下载 OpenCV 库、 二、Windows 中安装 OpenCV 库

opencv4.6.0 opencv-contrib4.6.0 for android 动态库

NDK开发，SurfaceView实现画面预览

安卓opencv4.5.0 完整demo、sdk及说明，可用于安卓图像视频处理，Android studio导入直接使用

安卓开的人脸识别，Android Studio 3.1编译可通过。NDK通过JNI实现Java调用c++本地代码，检测精度比较高。具有很好的参考价值。

Android 与OpenCV454项目demo 包含完整的项目代码， 主要实现了1：使用直方图方式训练模板与模板匹配，见MainActivity 2：yuv格式图像转换为RGB，对接大疆设备，见yuvConvter 3：使用opencv多二维码识别与定位，见QRActivity 模板识别训练过程使用opencv3自带的模板训练工具