100 lines
4.2 KiB
C++
100 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 __RECORDER_CSV_h_
|
|
#define __RECORDER_CSV_h_
|
|
|
|
// System includes
|
|
#include <fstream>
|
|
#include <sstream>
|
|
#include <vector>
|
|
|
|
// OpenCV includes
|
|
#include <opencv2/core/core.hpp>
|
|
|
|
namespace Utilities
|
|
{
|
|
|
|
//===========================================================================
|
|
/**
|
|
A class for recording CSV file from OpenFace
|
|
*/
|
|
class RecorderCSV {
|
|
|
|
public:
|
|
|
|
// The constructor for the recorder, need to specify if we are recording a sequence or not
|
|
RecorderCSV();
|
|
|
|
// Opening the file and preparing the header for it
|
|
bool Open(std::string output_file_name, bool is_sequence, bool output_2D_landmarks, bool output_3D_landmarks, bool output_model_params, bool output_pose, bool output_AUs, bool output_gaze,
|
|
int num_face_landmarks, int num_model_modes, int num_eye_landmarks, const std::vector<std::string>& au_names_class, const std::vector<std::string>& au_names_reg);
|
|
|
|
bool isOpen() const { return output_file.is_open(); }
|
|
|
|
// Closing the file and cleaning up
|
|
void Close();
|
|
|
|
void WriteLine(int face_id, int frame_num, double time_stamp, bool landmark_detection_success, double landmark_confidence,
|
|
const cv::Mat_<double>& landmarks_2D, const cv::Mat_<double>& landmarks_3D, const cv::Mat_<double>& pdm_model_params, const cv::Vec6d& rigid_shape_params, cv::Vec6d& pose_estimate,
|
|
const cv::Point3f& gazeDirection0, const cv::Point3f& gazeDirection1, const cv::Vec2d& gaze_angle, const std::vector<cv::Point2d>& eye_landmarks2d, const std::vector<cv::Point3d>& eye_landmarks3d,
|
|
const std::vector<std::pair<std::string, double> >& au_intensities, const std::vector<std::pair<std::string, double> >& au_occurences);
|
|
|
|
private:
|
|
|
|
// Blocking copy and move, as it doesn't make sense to read to write to the same file
|
|
RecorderCSV & operator= (const RecorderCSV& other);
|
|
RecorderCSV & operator= (const RecorderCSV&& other);
|
|
RecorderCSV(const RecorderCSV&& other);
|
|
RecorderCSV(const RecorderCSV& other);
|
|
|
|
// The actual output file stream that will be written
|
|
std::ofstream output_file;
|
|
|
|
// If we are recording results from a sequence each row refers to a frame, if we are recording an image each row is a face
|
|
bool is_sequence;
|
|
|
|
// Keep track of what we are recording
|
|
bool output_2D_landmarks;
|
|
bool output_3D_landmarks;
|
|
bool output_model_params;
|
|
bool output_pose;
|
|
bool output_AUs;
|
|
bool output_gaze;
|
|
|
|
std::vector<std::string> au_names_class;
|
|
std::vector<std::string> au_names_reg;
|
|
|
|
};
|
|
}
|
|
#endif |