SeetaFace2 编译出的动态库集成到 Android 项目

SeetaFace2 编译出的动态库集成到 Android 项目

欢迎入群交流

QQ群：686809487

下载 opencv android

https://opencv.org/releases/

在这里插入图片描述

新建 Android 项目，将 SeetaFace2 编译出的动态库放到 jniLibs 目录下，并在 build.gradle 中指定 jniLibs 库的路径

在这里插入图片描述

将 opencv android 目录下的 lib 库拷贝到 Android jniLibs 目录下

seeta_13.png

引入头文件

seeta_14.png

CMakeLists.txt 文件

cmake_minimum_required(VERSION 3.4.1)

set(rootPath ${CMAKE_SOURCE_DIR}/../../jniLibs/${CMAKE_ANDROID_ARCH_ABI})
message(${rootPath})

add_library(libSeetaFaceDetector.so SHARED IMPORTED)
set_target_properties(libSeetaFaceDetector.so PROPERTIES IMPORTED_LOCATION ${rootPath}/libSeetaFaceDetector.so)

add_library(libSeetaFaceLandmarker.so SHARED IMPORTED)
set_target_properties(libSeetaFaceLandmarker.so PROPERTIES IMPORTED_LOCATION ${rootPath}/libSeetaFaceLandmarker.so)

add_library(libSeetaFaceRecognizer.so SHARED IMPORTED)
set_target_properties(libSeetaFaceRecognizer.so PROPERTIES IMPORTED_LOCATION ${rootPath}/libSeetaFaceRecognizer.so)

add_library(libSeetaFaceTracker.so SHARED IMPORTED)
set_target_properties(libSeetaFaceTracker.so PROPERTIES IMPORTED_LOCATION ${rootPath}/libSeetaFaceTracker.so)

add_library(libSeetaNet.so SHARED IMPORTED)
set_target_properties(libSeetaNet.so PROPERTIES IMPORTED_LOCATION ${rootPath}/libSeetaNet.so)

add_library(libSeetaQualityAssessor.so SHARED IMPORTED)
set_target_properties(libSeetaQualityAssessor.so PROPERTIES IMPORTED_LOCATION ${rootPath}/libSeetaQualityAssessor.so)

add_library(libopencv_java4.so SHARED IMPORTED)
set_target_properties(libopencv_java4.so PROPERTIES IMPORTED_LOCATION ${rootPath}/libopencv_java4.so)

include_directories(
 include/opencv2
 include/seeta
 include
)

add_library(
 facemark
 SHARED
 face_mark.cpp
 ndk_callback.cpp
)

target_link_libraries(
 facemark
 libSeetaFaceDetector.so
 libSeetaFaceLandmarker.so
 libSeetaFaceRecognizer.so
 libSeetaFaceTracker.so
 libSeetaNet.so
 libSeetaQualityAssessor.so
 libopencv_java4.so
 android
 log)

目录说明：

assets 目录是下载的模型

include 中引入 opencv2 和 seeta 的头文件

demo 参考

extern "C"
JNIEXPORT void JNICALL
Java_vl_test_FaceManager_test(JNIEnv *env, jobject thiz) {
 SDK_LOG_D("picMark");
 seeta::ModelSetting::Device device = seeta::ModelSetting::CPU;
 int id = 0;
 seeta::ModelSetting FD_model("/data/data/vl.test/files/model/fd_2_00.dat",
 device, id);
 seeta::FaceTracker FD(FD_model);
 FD.set(seeta::FaceTracker::PROPERTY_VIDEO_STABLE, 1);
 cv::Mat frame = cv::imread("/data/data/vl.test/files/camera/camera1637922203067");
 SDK_LOG_D("frame imread height:%d , width:%d", frame.rows, frame.cols);

 seeta::cv::ImageData simage = frame;
 auto faces = FD.track(simage);
 SDK_LOG_D("faces:%d", faces.size);

 for (int i = 0; i < faces.size; ++i) {
 auto &face = faces.data[i];
 // 坐标值
 cv::rectangle(frame, cv::Rect(face.pos.x, face.pos.y, face.pos.width, face.pos.height),
 CV_RGB(128, 128, 255), 3);

 }
 std::string filePath = "/data/data/vl.test.app/files/camera/test_temp.jpg";
 cv::imwrite(filePath, frame);
 SDK_LOG_D("frame imwrite height:%d , width:%d", frame.rows, frame.cols);
} 

在这里插入图片描述

微信公众号（他晓），关注并转发，谢谢