feat: Add uniface cpp support for detection only

uniface-cpp/examples/detect.cpp

@@ -0,0 +1,53 @@
+/**
+ * @file detect.cpp
+ * @brief Face detection on a single image
+ */
+
+#include <iostream>
+
+#include <opencv2/highgui.hpp>
+#include <opencv2/imgproc.hpp>
+#include <uniface/uniface.hpp>
+
+int main(int argc, char** argv) {
+    if (argc < 3) {
+        std::cout << "Usage: " << argv[0] << " <model_path> <image_path>" << std::endl;
+        return 1;
+    }
+
+    const std::string model_path = argv[1];
+    const std::string image_path = argv[2];
+
+    try {
+        uniface::RetinaFace detector(model_path);
+
+        cv::Mat image = cv::imread(image_path);
+        if (image.empty()) {
+            std::cerr << "Failed to load image: " << image_path << std::endl;
+            return 1;
+        }
+
+        const auto faces = detector.detect(image);
+        std::cout << "Detected " << faces.size() << " faces." << std::endl;
+
+        // Draw results
+        for (const auto& face : faces) {
+            cv::rectangle(image, face.bbox, cv::Scalar(0, 255, 0), 2);
+            for (const auto& pt : face.landmarks) {
+                cv::circle(image, pt, 2, cv::Scalar(0, 0, 255), -1);
+            }
+        }
+
+        cv::imwrite("result.jpg", image);
+        std::cout << "Saved result to 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;
+}