how to display the original whole image rather than a cropped face image

[PapaMadeleine2022]

hello, your code displays a cropped face image for FaceLandmarkImg function. But how to display the original whole image contains facelandmarks rather than a cropped face image with facelandmarks?

[PapaMadeleine2022]

I have solved this problem. I commit some codes for function create_display_image as follows:

void create_display_image(const cv::Mat& orig, cv::Mat& display_image, LandmarkDetector::CLNF& clnf_model)
{

    // Draw head pose if present and draw eye gaze as well

    // preparing the visualisation image
    display_image = orig.clone();       

    // Creating a display image         
    cv::Mat xs = clnf_model.detected_landmarks(cv::Rect(0, 0, 1, clnf_model.detected_landmarks.rows/2));
    cv::Mat ys = clnf_model.detected_landmarks(cv::Rect(0, clnf_model.detected_landmarks.rows/2, 1, clnf_model.detected_landmarks.rows/2));
    double min_x, max_x, min_y, max_y;

    cv::minMaxLoc(xs, &min_x, &max_x);
    cv::minMaxLoc(ys, &min_y, &max_y);

    double width = max_x - min_x;
    double height = max_y - min_y;

    //int minCropX = max((int)(min_x-width/3.0),0);
    //int minCropY = max((int)(min_y-height/3.0),0);

    //int widthCrop = min((int)(width*5.0/3.0), display_image.cols - minCropX - 1);
    //int heightCrop = min((int)(height*5.0/3.0), display_image.rows - minCropY - 1);

    //double scaling = 350.0/widthCrop;

    // first crop the image
    //display_image = display_image(cv::Rect((int)(minCropX), (int)(minCropY), (int)(widthCrop), (int)(heightCrop)));

    // now scale it
    //cv::resize(display_image.clone(), display_image, cv::Size(), scaling, scaling);

    // Make the adjustments to points
    //xs = (xs - minCropX)*scaling;
    //ys = (ys - minCropY)*scaling;

    cv::Mat shape = clnf_model.detected_landmarks.clone();

    xs.copyTo(shape(cv::Rect(0, 0, 1, clnf_model.detected_landmarks.rows/2)));
    ys.copyTo(shape(cv::Rect(0, clnf_model.detected_landmarks.rows/2, 1, clnf_model.detected_landmarks.rows/2)));

    // Do the shifting for the hierarchical models as well
    for (size_t part = 0; part < clnf_model.hierarchical_models.size(); ++part)
    {
        cv::Mat xs = clnf_model.hierarchical_models[part].detected_landmarks(cv::Rect(0, 0, 1, clnf_model.hierarchical_models[part].detected_landmarks.rows / 2));
        cv::Mat ys = clnf_model.hierarchical_models[part].detected_landmarks(cv::Rect(0, clnf_model.hierarchical_models[part].detected_landmarks.rows / 2, 1, clnf_model.hierarchical_models[part].detected_landmarks.rows / 2));

        //xs = (xs - minCropX)*scaling;
        //ys = (ys - minCropY)*scaling;

        cv::Mat shape = clnf_model.hierarchical_models[part].detected_landmarks.clone();

        xs.copyTo(shape(cv::Rect(0, 0, 1, clnf_model.hierarchical_models[part].detected_landmarks.rows / 2)));
        ys.copyTo(shape(cv::Rect(0, clnf_model.hierarchical_models[part].detected_landmarks.rows / 2, 1, clnf_model.hierarchical_models[part].detected_landmarks.rows / 2)));

    }

    LandmarkDetector::Draw(display_image, clnf_model);

}