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DNN CPP - TOO SLOW VIDEO - GENDERNET

asked 2019-06-11 15:29:11 -0500

hellykun gravatar image

updated 2019-06-12 04:05:45 -0500

supra56 gravatar image

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? Code:

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);
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Comments

why is this line repeated (double work here !) ? :

blob = blobFromImage(face, 1, Size(227, 227), MODEL_MEAN_VALUES, false);
berak gravatar imageberak ( 2019-06-12 00:43:56 -0500 )edit

try to profile it properly. i bet, the (cascade based) face detection is eating most of the time.

berak gravatar imageberak ( 2019-06-12 00:45:26 -0500 )edit

Can you give me some hints on how to profile it? thank you. It is my first time with computer vision.

hellykun gravatar imagehellykun ( 2019-06-12 02:18:50 -0500 )edit

something like this:

int64 t0 = cv::getTickCount();
// ... action !
int64 t1 = cv::getTickCount();
double seconds = (t1-t0) / cv::getTickFrequency();

then, there are faster alternatives to the cascade detection, look for pico, pcn, mtcnn, last opencv has some pretrained dnn models which can be used with the dnn/objectdetection sample code.

berak gravatar imageberak ( 2019-06-12 03:10:48 -0500 )edit

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answered 2019-06-11 18:25:12 -0500

Witek gravatar image

Try adding

genderNet.setPreferableTarget(DNN_TARGET_OPENCL);

If you have an Intel GPU it might speed up the calculations. Otherwise it will use the CPU which is rather slow with deep neural networks.

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Comments

Thank you this solved the problem.

hellykun gravatar imagehellykun ( 2019-07-13 06:32:15 -0500 )edit
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Asked: 2019-06-11 15:29:11 -0500

Seen: 59 times

Last updated: Jun 12