OpenCV3.3深度神经网络DNN模块 实例6：CNN模型预测性别与年龄

1 #include <opencv2/opencv.hpp> 2 #include <opencv2/dnn.hpp> 3 #include <iostream> 4 5 using namespace cv; 6 using namespace cv::dnn; 7 using namespace std; 8 //人脸检测文件 9 String haar_file = "D:/opencv3.3/opencv/build/etc/haarcascades/haarcascade_frontalface_alt_tree.xml"; 10 //年龄预测模型 11 String age_model = "D:/opencv3.3/opencv/sources/samples/data/dnn/age_netaffemodel"; 12 //年龄描述文件 13 String age_text = "D:/opencv3.3/opencv/sources/samples/data/dnn/deploy_age.prototxt"; 14 15 //性别预测模型 16 String gender_model = "D:/opencv3.3/opencv/sources/samples/data/dnn/gender_netaffemodel"; 17 //年龄描述文件 18 String gender_text = "D:/opencv3.3/opencv/sources/samples/data/dnn/deploy_gender.prototxt"; 19 20 void predict_age(Net &net, Mat &image);//预测年龄 21 void predict_gender(Net &net, Mat &image);//预测性别 22 int main(int argc, char** argv) 28 namedWindow("input", CV_WINDOW_AUTOSIZE); 29 imshow("input", src); 30 CascadeClassifier detector; 31 detector.load(haar_file);//人脸检测 32 vector<Rect> faces; 33 Mat gray; 34 cvtColor(src, gray, COLOR_BGR2GRAY); 35 detector.detectMultiScale(gray, faces, 1.02, 1, 0, Size(40, 40), Size(200, 200)); 36 //加载网络 37 Net age_net = readNetFrCaffe(age_text, age_model); 38 Net gender_net = readNetFrCaffe(gender_text, gender_model); 39 40 for (size_t t= 0; t < faces.size(); t++) 47 imshow("agegenderpredictiondemo", src); 48 49 waitKey(0); 50 return 0; 51 } 52 53 vector<String> ageLabels() 65 66 void predict_age(Net &net, Mat &image) 81 82 void predict_gender(Net &net, Mat &image)

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