#include #include #include #include int main(int argc, char** argv) { if (argc < 4) { std::cout << "Usage: " << argv[0] << " " << std::endl; std::cout << "\nDetects 106-point facial landmarks and saves visualization." << std::endl; return 1; } const std::string detector_path = argv[1]; const std::string landmark_path = argv[2]; const std::string image_path = argv[3]; try { // Load models uniface::RetinaFace detector(detector_path); uniface::Landmark106 landmarker(landmark_path); // Load image cv::Mat image = cv::imread(image_path); if (image.empty()) { std::cerr << "Failed to load image: " << image_path << std::endl; return 1; } // Detect faces auto faces = detector.detect(image); std::cout << "Detected " << faces.size() << " face(s)" << std::endl; // Process each face for (size_t i = 0; i < faces.size(); ++i) { const auto& face = faces[i]; // Draw bounding box cv::rectangle(image, face.bbox, cv::Scalar(0, 255, 0), 2); // Get 106-point landmarks auto landmarks = landmarker.getLandmarks(image, face.bbox); // Draw all 106 points for (const auto& pt : landmarks.points) { cv::circle(image, pt, 1, cv::Scalar(0, 255, 255), -1); } std::cout << "Face " << (i + 1) << ": 106 landmarks detected" << std::endl; } // Save result cv::imwrite("landmarks_result.jpg", image); std::cout << "Saved result to landmarks_result.jpg" << std::endl; } catch (const cv::Exception& e) { std::cerr << "OpenCV Error: " << e.what() << std::endl; return 1; } catch (const std::exception& e) { std::cerr << "Error: " << e.what() << std::endl; return 1; } return 0; }