CMake导入OpenCV检测人脸

基于级联分类器的人脸检测示例"face_detection.cpp"：

1. #include <opencv2/opencv.hpp>
3. int main(int argc,char *argv[])
4. {
5.     // load face classifier
6.     cv::CascadeClassifier faceCascade;
7.     faceCascade.load(argv[3]);
9.     cv::Mat image = cv::imread(argv[1]);
11.     std::vector<cv::Rect> faces;
12.         faceCascade.detectMultiScale(image, faces, 1.1, 3, 0, cv::Size(30, 30));
14.         for (size_t i = 0; i < faces.size(); i++)
15.         {
16.                 cv::rectangle(image, faces[i], cv::Scalar(0, 255, 0), 2);
17.         }
19.         cv::imwrite(argv[2], image);
21.     return 0;
22. }

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CMakeLists.txt：

1. cmake_minimum_required(VERSION 3.16.3)
2. project(OpenCV_face_detection_demo VERSION 1.0.0 LANGUAGES CXX)
4. find_package(OpenCV REQUIRED)
5. include_directories(${OpenCV_INCLUDE_DIRS}) # Not needed for CMake >= 2.8.11
7. # several variables will be set by OpenCVConfig.cmake
8. message(STATUS "OpenCV library status:")
9. message(STATUS "    config: ${OpenCV_DIR}")
10. message(STATUS "    version: ${OpenCV_VERSION}")
11. message(STATUS "    libraries: ${OpenCV_LIBS}")
12. message(STATUS "    include path: ${OpenCV_INCLUDE_DIRS}")
13. message(STATUS "    install path: ${OpenCV_INSTALL_PATH}")
15. add_executable(OpenCV_demo.out ${CMAKE_CURRENT_SOURCE_DIR}/src/face_detection.cpp)
16. target_link_libraries(OpenCV_demo.out ${OpenCV_LIBS})  # or "OpenCV_LIBRARIES"

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编译执行：

1. mkdir build && cd build
2. cmake ..
3. make
4. ./OpenCV_demo.out ./lean.jpg ./lean_face.jpg haarcascade_frontalface_alt.xml

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