112 lines
3.9 KiB
C++
112 lines
3.9 KiB
C++
#include <iostream>
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#include <opencv2/opencv.hpp>
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#include "util/TimeCount.h"
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#include "CenterFaceMnn.h"
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#include "MobileFaceFeatureMnn.h"
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#include "FaceQuality.h"
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#include "util/DeviceInfo.h"
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#include "util/AuthModule.h"
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void test_face_detect(std::string img_path) {
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cv::Mat img = cv::imread(img_path);
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std::vector<FaceInfo> faces;
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{
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USE_TIME t(USE_TIME_US, "face_detect: ");
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CenterFaceMnn::GetInstance()->Detect(img, faces, 1);
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}
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for (auto& face : faces) {
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cv::Rect rect(face.x1, face.y1, FACE_BOX_WIDTH(face), FACE_BOX_HEIGHT(face));
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int score = FaceQuality::GetInstance()->DetectQuality(img, rect);
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cv::rectangle(img, cv::Rect(face.x1, face.y1, FACE_BOX_WIDTH(face), FACE_BOX_HEIGHT(face)), cv::Scalar(0, 0, 255), 2);
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cv::putText(img, std::to_string(score), cv::Point(face.x1, face.y1), cv::FONT_HERSHEY_SIMPLEX, 1, cv::Scalar(0, 0, 255), 2);
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std::cout << "score: " << score << std::endl;
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}
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// cv::imshow("test", img);
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// cv::waitKey(0);
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}
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void test_face_compare(std::string img1, std::string img2) {
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cv::Mat img1_ = cv::imread(img1);
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cv::Mat img2_ = cv::imread(img2);
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std::vector<FaceInfo> faces1;
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std::vector<FaceInfo> faces2;
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CenterFaceMnn::GetInstance()->Detect(img1_, faces1, 1);
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CenterFaceMnn::GetInstance()->Detect(img2_, faces2, 1);
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if (faces1.size() == 0 || faces2.size() == 0) {
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std::cout << faces1.size() << " == " << faces2.size() << std::endl;
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return;
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}
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float feature1[512];
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float feature2[512];
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float score = 0.f;
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{
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USE_TIME t(USE_TIME_US, "GetFaceFeature img1 time: ");
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MobileFaceFeatureMnn::GetInstance()->GetFaceFeature(img1_, faces1[0].landmarks, feature1);
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}
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{
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USE_TIME t(USE_TIME_US, "GetFaceFeature img2 time: ");
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MobileFaceFeatureMnn::GetInstance()->GetFaceFeature(img2_, faces2[0].landmarks, feature2);
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}
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{
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USE_TIME t(USE_TIME_US, "DeepCamFaceFeatureCompare time: ");
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MobileFaceFeatureMnn::GetInstance()->MobileFaceFeatureCompare(feature1, feature2, score);
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}
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std::cout << "score: " << score << std::endl;
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for(auto& face : faces2) {
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cv::rectangle(img2_, cv::Rect(face.x1, face.y1, FACE_BOX_WIDTH(face), FACE_BOX_HEIGHT(face)), cv::Scalar(0, 0, 255), 2);
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}
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for(auto& face : faces1) {
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cv::rectangle(img1_, cv::Rect(face.x1, face.y1, FACE_BOX_WIDTH(face), FACE_BOX_HEIGHT(face)), cv::Scalar(0, 0, 255), 2);
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}
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cv::imshow("img1", img1_);
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cv::imshow("img2", img2_);
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cv::waitKey(0);
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}
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int32_t main(int32_t argc, char** argv) {
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// 打开摄像头
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cv::VideoCapture cap(0);
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if (!cap.isOpened()) {
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std::cerr << "Failed to open camera." << std::endl;
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return 1;
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}
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// 循环读取摄像头图像并显 示
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cv::Mat frame;
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while (true) {
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// 读取一帧图像
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cap >> frame;
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if (frame.empty()) {
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std::cerr << "Failed to read frame." << std::endl;
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break;
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}
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// 显示图像
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cv::imshow("Camera", frame);
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cv::waitKey(1);
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}
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// CenterFaceMnn::GetInstance();
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// FaceQuality::GetInstance();
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// MobileFaceFeatureMnn::GetInstance();
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// test_face_detect("E:/1.jpg");
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// std::string key_data;
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// int ret = AuthModule::GetInstance().DecodeKeyFile("E:\\ySSm8TAdi6Y0v72msa6E.key", key_data);
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// std::cout << "decode file: " << std::endl << key_data << std::endl;
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std::cout << "check key file: " <<
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AuthModule::GetInstance().CheckKeyFile("E:\\ySSm8TAdi6Y0v72msa6E.key") << std::endl;
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// test_face_compare("F:/1.jpg", "E:\\6.jpg");
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// std::cout << "board: " << DeviceInfo::GetInstance().GetBoardInfo() << std::endl;
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// std::vector<std::string> macs = DeviceInfo::GetInstance().GetMacAddress();
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// for(auto& mac : macs) {
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// std::cout << "mac: " << mac << std::endl;
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// }
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system("pause");
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return 0;
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} |