#include #include #include "util/TimeCount.h" #include "CenterFaceMnn.h" #include "MobileFaceFeatureMnn.h" void test_face_detect(std::string img_path) { cv::Mat img = cv::imread(img_path); std::vector faces; { USE_TIME t(USE_TIME_US, "face_detect: "); CenterFaceMnn::GetInstance()->Detect(img, faces, 1); } for(auto& face : faces) { cv::rectangle(img, cv::Rect(face.x1, face.y1, FACE_BOX_WIDTH(face), FACE_BOX_HEIGHT(face)), cv::Scalar(0, 0, 255), 2); } cv::imshow("test", img); cv::waitKey(0); } void test_face_compare(std::string img1, std::string img2) { cv::Mat img1_ = cv::imread(img1); cv::Mat img2_ = cv::imread(img2); std::vector faces1; std::vector faces2; CenterFaceMnn::GetInstance()->Detect(img1_, faces1, 1); CenterFaceMnn::GetInstance()->Detect(img2_, faces2, 1); if (faces1.size() == 0 || faces2.size() == 0) { std::cout << faces1.size() << " == " << faces2.size() << std::endl; return; } float feature1[512]; float feature2[512]; float score = 0.f; { USE_TIME t(USE_TIME_US, "GetFaceFeature img1 time: "); MobileFaceFeatureMnn::GetInstance()->GetFaceFeature(img1_, faces1[0].landmarks, feature1); } { USE_TIME t(USE_TIME_US, "GetFaceFeature img2 time: "); MobileFaceFeatureMnn::GetInstance()->GetFaceFeature(img2_, faces2[0].landmarks, feature2); } { USE_TIME t(USE_TIME_US, "DeepCamFaceFeatureCompare time: "); MobileFaceFeatureMnn::GetInstance()->MobileFaceFeatureCompare(feature1, feature2, score); } std::cout << "score: " << score << std::endl; for(auto& face : faces2) { cv::rectangle(img2_, cv::Rect(face.x1, face.y1, FACE_BOX_WIDTH(face), FACE_BOX_HEIGHT(face)), cv::Scalar(0, 0, 255), 2); } for(auto& face : faces1) { cv::rectangle(img1_, cv::Rect(face.x1, face.y1, FACE_BOX_WIDTH(face), FACE_BOX_HEIGHT(face)), cv::Scalar(0, 0, 255), 2); } cv::imshow("img1", img1_); cv::imshow("img2", img2_); cv::waitKey(0); } int32_t main(int32_t argc, char** argv) { CenterFaceMnn::GetInstance(); MobileFaceFeatureMnn::GetInstance(); // test_face_detect("E:/dd.jpg"); test_face_compare("F:/1.jpg", "E:\\6.jpg"); return 0; }