sustaining_gazes/lib/local/Utilities/include/Visualizer.h
2018-03-24 10:30:30 +00:00

112 lines
4.2 KiB
C++

///////////////////////////////////////////////////////////////////////////////
// Copyright (C) 2017, Tadas Baltrusaitis all rights reserved.
//
// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
//
// BY USING OR DOWNLOADING THE SOFTWARE, YOU ARE AGREEING TO THE TERMS OF THIS LICENSE AGREEMENT.
// IF YOU DO NOT AGREE WITH THESE TERMS, YOU MAY NOT USE OR DOWNLOAD THE SOFTWARE.
//
// License can be found in OpenFace-license.txt
//
// * Any publications arising from the use of this software, including but
// not limited to academic journal and conference publications, technical
// reports and manuals, must cite at least one of the following works:
//
// OpenFace: an open source facial behavior analysis toolkit
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
// in IEEE Winter Conference on Applications of Computer Vision, 2016
//
// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
// Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
// in IEEE International. Conference on Computer Vision (ICCV), 2015
//
// Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
// Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson
// in Facial Expression Recognition and Analysis Challenge,
// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
//
// Constrained Local Neural Fields for robust facial landmark detection in the wild.
// Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency.
// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
//
///////////////////////////////////////////////////////////////////////////////
#ifndef __VISUALIZER_h_
#define __VISUALIZER_h_
// System includes
#include <vector>
// OpenCV includes
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
namespace Utilities
{
//===========================================================================
/**
A class for recording data processed by OpenFace (facial landmarks, head pose, facial action units, aligned face, HOG features, and tracked video
*/
class Visualizer {
public:
// The constructor for the visualizer that specifies what to visualize
Visualizer(std::vector<std::string> arguments);
Visualizer(bool vis_track, bool vis_hog, bool vis_align, bool vis_aus);
// Adding observations to the visualizer
// Pose related observations
void SetImage(const cv::Mat& canvas, float fx, float fy, float cx, float cy);
// All observations relevant to facial landmarks (optional visibilities parameter to not display all landmarks)
void SetObservationLandmarks(const cv::Mat_<double>& landmarks_2D, double confidence, const cv::Mat_<int>& visibilities = cv::Mat_<int>());
// Pose related observations
void SetObservationPose(const cv::Vec6d& pose, double confidence);
void SetObservationActionUnits(const std::vector<std::pair<std::string, double> >& au_intensities, const std::vector<std::pair<std::string, double> >& au_occurences);
// Gaze related observations
void SetObservationGaze(const cv::Point3f& gazeDirection0, const cv::Point3f& gazeDirection1, const std::vector<cv::Point2d>& eye_landmarks, const std::vector<cv::Point3d>& eye_landmarks3d, double confidence);
// Face alignment related observations
void SetObservationFaceAlign(const cv::Mat& aligned_face);
// HOG feature related observations
void SetObservationHOG(const cv::Mat_<double>& hog_descriptor, int num_cols, int num_rows);
void SetFps(double fps);
// Return key-press that could have resulted in the open windows
char ShowObservation();
cv::Mat GetVisImage();
cv::Mat GetHOGVis();
// Keeping track of what we're visualizing
bool vis_track;
bool vis_hog;
bool vis_align;
bool vis_aus;
// Can be adjusted to show less confident frames
double visualisation_boundary = 0.4;
private:
// Temporary variables for visualization
cv::Mat captured_image; // out canvas
cv::Mat tracked_image;
cv::Mat hog_image;
cv::Mat aligned_face_image;
cv::Mat action_units_image;
// Useful for drawing 3d
float fx, fy, cx, cy;
};
}
#endif