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uniface/uniface-cpp/examples/landmarks.cpp

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#include <iostream>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
#include <uniface/uniface.hpp>
int main(int argc, char** argv) {
if (argc < 4) {
std::cout << "Usage: " << argv[0] << " <detector_model> <landmark_model> <image_path>"
<< 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;
}