AR技术之－－基于opencv的人脸识别（二）

下载的OpenCV-android-sdk目录结构如下apk目录：manager的apk安装包samples目录：示例代码sdk目录：是java层代码和jni层代码OpenCV最简单的使用方式是使用manager，也就是使用apk目录下的安装包，安装对应的apk，将java层代码导入，使用OpenCVLoader.initAsync()加载库，之后你就可以直接用java代码调用Opencv相关的功能了。但是这种方式除了安装我们自己的apk还需要安装上面提到的manager的apk，用户体验十分不好，不推荐使用，本文的将完全脱离这个manager的apk。首先，新建项目，将OpenCV中sdk目录下的native目录拷到项目根目录；然后新建一个module为opencv-lib，以下都是基于opencv-lib的配置1､在gradle.properties中添加配置：android.useDeprecatedNdk=true2､在local.properties中添加配置：

ndk.dir=/Users/lisc/Library/Android/sdk/ndk-bundle
sdk.dir=/Users/lisc/Library/Android/sdk

注：需要将sdk和ndk的目录修改为自己本机配置的位置3､在opevcv-lib的main/src中新建jin目录，并增加Application.mk文件，添加配置：

APP_STL := gnustl_static
APP_CPPFLAGS := -frtti -fexceptions
APP_ABI := armeabi armeabi-v7a
APP_PLATFORM := android-8

4､在opevcv-lib的main/src中增加Android.mk文件，添加配置：

LOCAL_PATH := $(call my-dir)

include $(CLEAR_VARS)

OpenCV_INSTALL_MODULES := on
OpenCV_CAMERA_MODULES := off

OPENCV_LIB_TYPE :=STATIC

ifeq ("$(wildcard $(OPENCV_MK_PATH))","")
include /Users/lisc/Documents/examples/ar/native/jni/OpenCV.mk

else
include $(OPENCV_MK_PATH)
endif

LOCAL_MODULE := OpenCV

LOCAL_SRC_FILES :=

LOCAL_LDLIBS +=  -lm -llog

include $(BUILD_SHARED_LIBRARY)

注：

include /Users/lisc/Documents/examples/ar/native/jni/OpenCV.mk

需要修改为自己的路径

在build.gradle文件里面的android{}中添加配置：

sourceSets.main.jni.srcDirs = []sourceSets.main.jniLibs.srcDirs = ['src/main/libs', 'src/main/jniLibs']task ndkBuild(type: Exec, description: 'Compile JNI source with NDK') {Properties properties = new Properties()properties.load(project.rootProject.file('local.properties').newDataInputStream())def ndkDir = properties.getProperty('ndk.dir')if (org.apache.tools.ant.taskdefs.condition.Os.isFamily(org.apache.tools.ant.taskdefs.condition.Os.FAMILY_WINDOWS)) {commandLine "$ndkDir/ndk-build.cmd", '-C', file('src/main/jni').absolutePath} else {commandLine "$ndkDir/ndk-build", '-C', file('src/main/jni').absolutePath}}tasks.withType(JavaCompile) {compileTask -> compileTask.dependsOn ndkBuild}task ndkClean(type: Exec, description: 'Clean NDK Binaries') {Properties properties = new Properties()properties.load(project.rootProject.file('local.properties').newDataInputStream())def ndkDir = properties.getProperty('ndk.dir')if (org.apache.tools.ant.taskdefs.condition.Os.isFamily(org.apache.tools.ant.taskdefs.condition.Os.FAMILY_WINDOWS)) {commandLine "$ndkDir/ndk-build.cmd", 'clean', '-C', file('src/main/jni').absolutePath} else {commandLine "$ndkDir/ndk-build", 'clean', '-C', file('src/main/jni'[/b]).absolutePath}}clean.dependsOn 'ndkClean'

最后：运行ndkBuild，查看日志，如果出现以下日志，并生成文件即成功

 成功生成libOpenCV.so文件