以前的文章中《OpenCV简介与Android SDK环境》列出过OpenCV4Android的开发,不过当时是用的Java实现,做了一些Demo后慢慢发现,在图像处理中用JAVA调OpenCV的开发处理速度是个瓶颈,所以才激起了学习NDK开发的想法,具体NDK开发的配置可以看我前面的文章《Android NDK编程(一)---NDK介绍及环境搭建》,本章主要说后面的OpenCV在Android NDK开发的环境搭建。
开发环境
NDK的搭建 详见《Android NDK编程(一)---NDK介绍及环境搭建》 OpenCV下载及准备 下载地址:https:///releases/ 找到最新版本4.1.0的下载地址,点击Android进入下载 下载完后就是我们下图红框中的ZIP文件,然后我们解压一下后即生成了OpenCV-android-sdk的文件夹(下图蓝框)
1.创建项目 我们打开Android Studio新建一个项目,选择Native C++ 将程序名称改为OpenCVDemo C++Stand选择为C++11 点击Finish后我们完成了项目的创建 2.修改build.gradle文件 双击build.gradle文件 修改要我们要支持的CPU架构下 调用OpenCV4Android中的so动态库用于打包进APK,下图中红框内的路径就是我们上面下载的OpenCV4.1.0中的动态库路径 我们看一下那个路径 完整的build.gradle代码 apply plugin: 'com.android.application' android { compileSdkVersion 28 defaultConfig { applicationId "dem.vac.opencvdemo" minSdkVersion 14 targetSdkVersion 28 versionCode 1 versionName "1.0" testInstrumentationRunner "android.support.test.runner.AndroidJUnitRunner" externalNativeBuild { cmake { cppFlags "-std=c++11" //我们的APP要支持的CPU架构 abiFilters'x86','armeabi-v7a' } } } //加上 sourceSets{ main{ //当前这个目录下的库文件会被调用并且被打包进apk中 jniLibs.srcDirs = ['D:/PersonalStudio/OpenCV-android-sdk/sdk/native/libs'] } } buildTypes { release { minifyEnabled false proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro' } } externalNativeBuild { cmake { path "src/main/cpp/CMakeLists.txt" } } } dependencies { implementation fileTree(dir: 'libs', include: ['*.jar']) implementation 'com.android.support:appcompat-v7:28.0.0' implementation 'com.android.support.constraint:constraint-layout:1.1.3' testImplementation 'junit:junit:4.12' androidTestImplementation 'com.android.support.test:runner:1.0.2' androidTestImplementation 'com.android.support.test.espresso:espresso-core:3.0.2' } 3.修改CMakeLists.txt文件 下图中标红框的地方就是我在原来的CMakeLists.txt中修改的地方 ![]() ![]() 完整的CMakeList.txt代码 # For more information about using CMake with Android Studio, read the # documentation: https://d./studio/projects/add-native-code.html # Sets the minimum version of CMake required to build the native library. cmake_minimum_required(VERSION 3.4.1) #该变量为真时会创建完整版本的Makefile set(CMAKE_VERBOSE_MAKEFILE on) #定义变量ocvlibs使后面的命令可以使用定位具体的库文件 set(opencvlibs "D:/PersonalStudio/OpenCV-android-sdk/sdk/native/libs") #调用头文件的具体路径 include_directories(D:/PersonalStudio/OpenCV-android-sdk/sdk/native/jni/include) #增加我们的动态库 add_library(libopencv_java4 SHARED IMPORTED) #建立链接 set_target_properties(libopencv_java4 PROPERTIES IMPORTED_LOCATION "${opencvlibs}/${ANDROID_ABI}/libopencv_java4.so") # Creates and names a library, sets it as either STATIC # or SHARED, and provides the relative paths to its source code. # You can define multiple libraries, and CMake builds them for you. # Gradle automatically packages shared libraries with your APK. add_library( # Sets the name of the library. native-lib # Sets the library as a shared library. SHARED # Provides a relative path to your source file(s). native-lib.cpp) # Searches for a specified prebuilt library and stores the path as a # variable. Because CMake includes system libraries in the search path by # default, you only need to specify the name of the public NDK library # you want to add. CMake verifies that the library exists before # completing its build. find_library( # Sets the name of the path variable. log-lib # Specifies the name of the NDK library that # you want CMake to locate. log) # Specifies libraries CMake should link to your target library. You # can link multiple libraries, such as libraries you define in this # build script, prebuilt third-party libraries, or system libraries. target_link_libraries( # Specifies the target library. native-lib libopencv_java4 # Links the target library to the log library # included in the NDK. ${log-lib}) 划重点 修改完后我们需要点击选项上的Build-Refresh Linked C++ Projects ![]() 完成后我们展开native-lib下面的includes后里面有个opencv2已经添加进来了,如下图: ![]() ![]() 上面我们的Android Studio通过NDK配置OpenCV已经完下了,下面开始我就可以进行代码的编写了。 -END- |
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