2017-11-01 20:39:49 +01:00
///////////////////////////////////////////////////////////////////////////////
// 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 Baltru<72> aitis, 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 Baltru<72> aitis, 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 Baltru<72> aitis, 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 Baltru<72> aitis, Peter Robinson, and Louis-Philippe Morency.
// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
//
///////////////////////////////////////////////////////////////////////////////
# include "RecorderCSV.h"
// For sorting
# include <algorithm>
using namespace Recorder ;
// Default constructor initializes the variables
RecorderCSV : : RecorderCSV ( ) : output_file ( ) { } ;
// TODO the other 4 constructors + destructors?
// Opening the file and preparing the header for it
2017-11-02 10:06:53 +01:00
bool RecorderCSV : : Open ( std : : string output_file_name , bool output_2D_landmarks , bool output_3D_landmarks , bool output_model_params , bool output_pose , bool output_AUs , bool output_gaze ,
2017-11-01 20:39:49 +01:00
int num_face_landmarks , int num_model_modes , int num_eye_landmarks , std : : vector < std : : string > au_names_class , std : : vector < std : : string > au_names_reg )
{
output_file . open ( output_file_name , std : : ios_base : : out ) ;
2017-11-02 10:06:53 +01:00
if ( ! output_file . is_open ( ) )
return false ;
2017-11-01 20:39:49 +01:00
// Different headers if we are writing out the results on a sequence or an individual image
if ( this - > is_sequence )
{
output_file < < " frame, timestamp, confidence, success " ;
}
else
{
output_file < < " face, confidence " ;
}
if ( output_gaze )
{
output_file < < " , gaze_0_x, gaze_0_y, gaze_0_z, gaze_1_x, gaze_1_y, gaze_1_z, gaze_angle_x, gaze_angle_y " ;
for ( int i = 0 ; i < num_eye_landmarks ; + + i )
{
output_file < < " , eye_lmk_x_ " < < i ;
}
for ( int i = 0 ; i < num_eye_landmarks ; + + i )
{
output_file < < " , eye_lmk_y_ " < < i ;
}
}
if ( output_pose )
{
output_file < < " , pose_Tx, pose_Ty, pose_Tz, pose_Rx, pose_Ry, pose_Rz " ;
}
if ( output_2D_landmarks )
{
for ( int i = 0 ; i < num_face_landmarks ; + + i )
{
output_file < < " , x_ " < < i ;
}
for ( int i = 0 ; i < num_face_landmarks ; + + i )
{
output_file < < " , y_ " < < i ;
}
}
if ( output_3D_landmarks )
{
for ( int i = 0 ; i < num_face_landmarks ; + + i )
{
output_file < < " , X_ " < < i ;
}
for ( int i = 0 ; i < num_face_landmarks ; + + i )
{
output_file < < " , Y_ " < < i ;
}
for ( int i = 0 ; i < num_face_landmarks ; + + i )
{
output_file < < " , Z_ " < < i ;
}
}
// Outputting model parameters (rigid and non-rigid), the first parameters are the 6 rigid shape parameters, they are followed by the non rigid shape parameters
if ( output_model_params )
{
output_file < < " , p_scale, p_rx, p_ry, p_rz, p_tx, p_ty " ;
for ( int i = 0 ; i < num_model_modes ; + + i )
{
output_file < < " , p_ " < < i ;
}
}
if ( output_AUs )
{
std : : sort ( au_names_reg . begin ( ) , au_names_reg . end ( ) ) ;
for ( std : : string reg_name : au_names_reg )
{
output_file < < " , " < < reg_name < < " _r " ;
}
std : : sort ( au_names_class . begin ( ) , au_names_class . end ( ) ) ;
for ( std : : string class_name : au_names_class )
{
output_file < < " , " < < class_name < < " _c " ;
}
}
output_file < < std : : endl ;
2017-11-02 10:06:53 +01:00
return true ;
2017-11-01 20:39:49 +01:00
}
// TODO check if the stream is open
//void writeLine(int frame_count, double time_stamp, bool detection_success,
// cv::Point3f gazeDirection0, cv::Point3f gazeDirection1, cv::Vec2d gaze_angle, cv::Vec6d& pose_estimate, double fx, double fy, double cx, double cy,
// const FaceAnalysis::FaceAnalyser& face_analyser);
// Closing the file and cleaning up
2017-11-02 10:06:53 +01:00
void RecorderCSV : : Close ( )
2017-11-01 20:39:49 +01:00
{
output_file . close ( ) ;
}