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这篇文章主要讲解了Android如何通过cmake的方式接入opencv,内容清晰明了,对此有兴趣的小伙伴可以学习一下,相信大家阅读完之后会有帮助。
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简述
上篇 我们通过Java sdk的方式已经将opencv接入到项目中了,如果想使用opencv sdk 提供的 C++ 头文件与 .so动态库,自己封装jni这样使用上篇的方式显然是不能实现的。所以本篇我们介绍通过cmake的方式接入opencv。
接入步骤
1、新建jni项目
具体创建过程参考上篇:通过Java sdk方式接入opencv 。
2、导入so库
在项目app/src/main目录下新建jniLibs,并将解压后的opencv sdk 目录下对应的路径 sdk/native/libs 中的文件复制到jniLibs中。
2、导入cpp文件
将opencv sdk 目录下对应的路径 sdk/native/jni/include 中的文件复制到cpp目录中。
3、修改CMakeLists
将src/main/cpp 中的CMakeLists移动到app目录下。
2.修改CMakeLists中的内容
# For more information about using CMake with Android Studio, read the # documentation: https://d.android.com/studio/projects/add-native-code.html # 设置CMAKE的版本号 cmake_minimum_required(VERSION 3.4.1) # 设置include文件夹的地址 include_directories(${CMAKE_SOURCE_DIR}/src/main/cpp/include) # 设置opencv的动态库 add_library(libopencv_java4 SHARED IMPORTED) set_target_properties(libopencv_java4 PROPERTIES IMPORTED_LOCATION ${CMAKE_SOURCE_DIR}/src/main/jniLibs/${ANDROID_ABI}/libopencv_java4.so) add_library( # Sets the name of the library. native-lib #.so库名 可自定义 # Sets the library as a shared library. SHARED # Provides a relative path to your source file(s). src/main/cpp/native-lib.cpp) 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) 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})
修改app 中的build.gradle文件 defaultConfig 中配置cmake和ndk
externalNativeBuild { cmake { cppFlags "-std=c++11" arguments "-DANDROID_STL=c++_shared" } } ndk{ abiFilters "armeabi-v7a","arm64-v8a" }
android 中配置jniLibs
sourceSets{ main{ jniLibs.srcDirs = ['src/main/jniLibs'] } }
android 中配置cmake和ndk相关
externalNativeBuild { cmake { path file('CMakeLists.txt') version "3.10.2" } } splits { abi { enable true reset() include 'x86', 'x86_64', 'armeabi-v7a', 'arm64-v8a' //select ABIs to build APKs for universalApk true //generate an additional APK that contains all the ABIs } }
如果是老项目则不必配置splits否则会报错,只需要干掉下面的代码
splits { abi { enable true reset() include 'x86', 'x86_64', 'armeabi-v7a', 'arm64-v8a' //select ABIs to build APKs for universalApk true //generate an additional APK that contains all the ABIs } }
最终配置完的代码为:
apply plugin: 'com.android.application' apply plugin: 'kotlin-android' apply plugin: 'kotlin-android-extensions' android { compileSdkVersion 29 defaultConfig { applicationId "com.jd.opencv" minSdkVersion 23 targetSdkVersion 29 versionCode 1 versionName "1.0" testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner" externalNativeBuild { cmake { cppFlags "-std=c++11" arguments "-DANDROID_STL=c++_shared" } } ndk{ abiFilters "armeabi-v7a","arm64-v8a" } } sourceSets{ main{ jniLibs.srcDirs = ['src/main/jniLibs'] } } buildTypes { release { minifyEnabled false proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro' } } externalNativeBuild { cmake { path file('CMakeLists.txt') version "3.10.2" } } splits { abi { enable true reset() include 'x86', 'x86_64', 'armeabi-v7a', 'arm64-v8a' //select ABIs to build APKs for universalApk true //generate an additional APK that contains all the ABIs } } project.ext.versionCodes = ['armeabi': 1, 'armeabi-v7a': 2, 'arm64-v8a': 3, 'mips': 5, 'mips64': 6, 'x86': 8, 'x86_64': 9] android.applicationVariants.all { variant -> variant.outputs.each { output -> output.versionCodeOverride = project.ext.versionCodes.get(output.getFilter(com.android.build.OutputFile.ABI), 0) * 1000000 + android.defaultConfig.versionCode } } } dependencies { implementation fileTree(dir: 'libs', include: ['*.jar']) implementation "org.jetbrains.kotlin:kotlin-stdlib-jdk7:$kotlin_version" implementation 'androidx.appcompat:appcompat:1.1.0' implementation 'androidx.core:core-ktx:1.2.0' implementation 'androidx.constraintlayout:constraintlayout:1.1.3' testImplementation 'junit:junit:4.12' androidTestImplementation 'androidx.test.ext:junit:1.1.1' androidTestImplementation 'androidx.test.espresso:espresso-core:3.2.0' }
使用
我们将一张彩色图片通过 opencv 处理成一张灰色的照片。
1、编写处理照片的代码。
创建native代码
object NativeLibUtils{ init { System.loadLibrary("native-lib") } external fun bitmap2Grey(pixels: IntArray, w: Int, h: Int): IntArray }
创建 jni 代码
#include#include #include #include #include #include #include using namespace cv; using namespace std; extern "C" JNIEXPORT jintArray JNICALL Java_com_mp5a5_opencv_NativeLibUtils_bitmap2Gray(JNIEnv *env, jobject instance, jintArray pixels, jint w, jint h) { jint *cur_array; jboolean isCopy = static_cast (false); cur_array = env->GetIntArrayElements(pixels, &isCopy); if (cur_array == NULL) { return 0; } Mat img(h, w, CV_8UC4, (unsigned char *) cur_array); cvtColor(img, img, CV_BGRA2GRAY); cvtColor(img, img, CV_GRAY2BGRA); int size = w * h; jintArray result = env->NewIntArray(size); env->SetIntArrayRegion(result, 0, size, (jint *) img.data); env->ReleaseIntArrayElements(pixels, cur_array, 0); return result; }
调用 native 代码来实现彩色图片转换成灰色图片
private fun showGrayImg() { val w = bitmap.width val h = bitmap.height val pixels = IntArray(w * h) bitmap.getPixels(pixels, 0, w, 0, 0, w, h) val resultData: IntArray = NativeLibUtils.bitmap2Gray(pixels, w, h) val resultImage = Bitmap.createBitmap(w, h, Bitmap.Config.ARGB_8888) resultImage.setPixels(resultData, 0, w, 0, 0, w, h) iv_image.setImageBitmap(resultImage) }
完整转换的代码
class OpenCvActivity : AppCompatActivity(), View.OnClickListener { private lateinit var bitmap: Bitmap override fun onCreate(savedInstanceState: Bundle?) { super.onCreate(savedInstanceState) setContentView(R.layout.activity_opencv) bitmap = BitmapFactory.decodeResource(resources, R.mipmap.person) iv_image.setImageBitmap(bitmap) btn_btn1.setOnClickListener(this) btn_btn2.setOnClickListener(this) } override fun onClick(v: View?) { v?.id?.let { when (it) { R.id.btn_btn1 -> { showGrayImg() } R.id.btn_btn2 -> { showRgbImg() } } } } private fun showRgbImg() { bitmap = BitmapFactory.decodeResource(resources, R.mipmap.person) iv_image.setImageBitmap(bitmap) } private fun showGrayImg() { val w = bitmap.width val h = bitmap.height val pixels = IntArray(w * h) bitmap.getPixels(pixels, 0, w, 0, 0, w, h) val resultData: IntArray = NativeLibUtils.bitmap2Gray(pixels, w, h) val resultImage = Bitmap.createBitmap(w, h, Bitmap.Config.ARGB_8888) resultImage.setPixels(resultData, 0, w, 0, 0, w, h) iv_image.setImageBitmap(resultImage) } }
<?xml version="1.0" encoding="utf-8"?>
显示效果:
效果图
看完上述内容,是不是对Android如何通过cmake的方式接入opencv有进一步的了解,如果还想学习更多内容,欢迎关注创新互联行业资讯频道。