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I have tried to create a program to recognize and playback gender on a video. The problem is that the video playback is really slow. When the gender network is not running the video playback is quick. Any ideas?

string genderProto = "gender_deploy.prototxt"; string genderModel = "gender_net.caffemodel";

Scalar MODEL_MEAN_VALUES = Scalar(78.4263377603, 87.7689143744, 114.895847746);

vector<string> genderList = { "Man", "Woman" };

// Load Network

Net genderNet = readNet(genderModel, genderProto); Net faceNet = readNet(faceModel, faceProto); // Try opening camera //cv::VideoCapture camera(0); cv::VideoCapture camera("video.mp4"); if (!camera.isOpened()) { fprintf(stderr, "Error getting camera...\n"); exit(1); }

cv::namedWindow(WINDOW_NAME, cv::WINDOW_KEEPRATIO | cv::WINDOW_AUTOSIZE);

VideoFaceDetector detector(CASCADE_FILE, camera); cv::Mat frame; double fps = 0, time_per_frame; while (true) { auto start = cv::getCPUTickCount(); detector >> frame; auto end = cv::getCPUTickCount();

time_per_frame = (end - start) / cv::getTickFrequency();
fps = (15 * fps + (1 / time_per_frame)) / 16;

printf("Time per frame: %3.3f\tFPS: %3.3f\n", time_per_frame, fps);

if (detector.isFaceFound())
{
    cv::rectangle(frame, detector.face(), cv::Scalar(255, 0, 0));

}


Mat face = frame; // take the ROI of box on the frame
Mat blob;
blob = blobFromImage(face, 1, Size(227, 227), MODEL_MEAN_VALUES, false); blob = blobFromImage(face, 1, Size(227, 227), MODEL_MEAN_VALUES, false);

genderNet.setInput(blob);

// string gender_preds;
vector<float> genderPreds = genderNet.forward();

// printing gender here
// find max element index
// distance function does the argmax() work in C++
int max_index_gender = std::distance(genderPreds.begin(), max_element(genderPreds.begin(), genderPreds.end()));
string gender = genderList[max_index_gender];

string label = gender;

cv::putText(frame, label, Point(100, 200), cv::FONT_HERSHEY_SIMPLEX, 2, Scalar(0, 255, 255), 2, cv::LINE_AA);
cv::imshow(WINDOW_NAME, frame);

I have tried to create a program to recognize and playback gender on a video. The problem is that the video playback is really slow. When the gender network is not running the video playback is quick. Any ideas?ideas? Code:

string genderProto = "gender_deploy.prototxt";
string genderModel = "gender_net.caffemodel";
 
"gender_net.caffemodel";
Scalar MODEL_MEAN_VALUES = Scalar(78.4263377603, 87.7689143744, 114.895847746);
 
114.895847746);
vector<string> genderList = { "Man", "Woman" };
 
};
// Load Network
 
Network
Net genderNet = readNet(genderModel, genderProto);
Net faceNet = readNet(faceModel, faceProto);
// Try opening camera
//cv::VideoCapture camera(0);
cv::VideoCapture camera("video.mp4");
if (!camera.isOpened()) {
fprintf(stderr, "Error getting camera...\n");
exit(1);
}
 
}
cv::namedWindow(WINDOW_NAME, cv::WINDOW_KEEPRATIO | cv::WINDOW_AUTOSIZE);
 
cv::WINDOW_AUTOSIZE);
VideoFaceDetector detector(CASCADE_FILE, camera);
cv::Mat frame;
double fps = 0, time_per_frame;
while (true)
{
auto start = cv::getCPUTickCount();
detector >> frame;
auto end = cv::getCPUTickCount();
 
cv::getCPUTickCount();
time_per_frame = (end - start) / cv::getTickFrequency();
 fps = (15 * fps + (1 / time_per_frame)) / 16;
 printf("Time per frame: %3.3f\tFPS: %3.3f\n", time_per_frame, fps);
 if (detector.isFaceFound())
 {
  cv::rectangle(frame, detector.face(), cv::Scalar(255, 0, 0));
 }
 Mat face = frame; // take the ROI of box on the frame
 Mat blob;
 blob = blobFromImage(face, 1, Size(227, 227), MODEL_MEAN_VALUES, false); blob = blobFromImage(face, 1, Size(227, 227), MODEL_MEAN_VALUES, false);
 genderNet.setInput(blob);
 // string gender_preds;
 vector<float> genderPreds = genderNet.forward();
 // printing gender here
 // find max element index
 // distance function does the argmax() work in C++
 int max_index_gender = std::distance(genderPreds.begin(), max_element(genderPreds.begin(), genderPreds.end()));
 string gender = genderList[max_index_gender];
 string label = gender;
 cv::putText(frame, label, Point(100, 200), cv::FONT_HERSHEY_SIMPLEX, 2, Scalar(0, 255, 255), 2, cv::LINE_AA);
 cv::imshow(WINDOW_NAME, frame);