2017-11-01 20:39:49 +01:00
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///////////////////////////////////////////////////////////////////////////////
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// Copyright (C) 2017, Tadas Baltrusaitis all rights reserved.
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//
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// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
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//
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// BY USING OR DOWNLOADING THE SOFTWARE, YOU ARE AGREEING TO THE TERMS OF THIS LICENSE AGREEMENT.
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// IF YOU DO NOT AGREE WITH THESE TERMS, YOU MAY NOT USE OR DOWNLOAD THE SOFTWARE.
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//
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// License can be found in OpenFace-license.txt
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//
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// * Any publications arising from the use of this software, including but
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// not limited to academic journal and conference publications, technical
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// reports and manuals, must cite at least one of the following works:
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//
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// OpenFace: an open source facial behavior analysis toolkit
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// Tadas Baltru<72>aitis, Peter Robinson, and Louis-Philippe Morency
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// in IEEE Winter Conference on Applications of Computer Vision, 2016
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//
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// Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
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// Erroll Wood, Tadas Baltru<72>aitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling
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// in IEEE International. Conference on Computer Vision (ICCV), 2015
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//
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// Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
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// Tadas Baltru<72>aitis, Marwa Mahmoud, and Peter Robinson
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// in Facial Expression Recognition and Analysis Challenge,
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// IEEE International Conference on Automatic Face and Gesture Recognition, 2015
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//
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// Constrained Local Neural Fields for robust facial landmark detection in the wild.
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// Tadas Baltru<72>aitis, Peter Robinson, and Louis-Philippe Morency.
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// in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.
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//
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///////////////////////////////////////////////////////////////////////////////
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#ifndef __RECORDER_CSV_h_
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#define __RECORDER_CSV_h_
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// System includes
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#include <fstream>
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#include <sstream>
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#include <vector>
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2017-11-02 21:11:58 +01:00
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// OpenCV includes
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#include <opencv2/core/core.hpp>
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2017-11-08 10:02:50 +01:00
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namespace Utilities
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{
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//===========================================================================
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/**
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A class for recording CSV file from OpenFace
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*/
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class RecorderCSV {
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public:
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// The constructor for the recorder, need to specify if we are recording a sequence or not
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RecorderCSV();
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// Opening the file and preparing the header for it
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2017-11-07 08:46:25 +01:00
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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,
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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);
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2017-11-01 20:39:49 +01:00
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2018-02-23 09:25:19 +01:00
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bool isOpen() const { return output_file.is_open(); }
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2017-11-01 20:39:49 +01:00
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// Closing the file and cleaning up
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2017-11-01 20:59:23 +01:00
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void Close();
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2018-02-23 09:25:19 +01:00
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void WriteLine(int face_id, int frame_num, double time_stamp, bool landmark_detection_success, double landmark_confidence,
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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,
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2017-11-11 22:13:29 +01:00
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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,
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const std::vector<std::pair<std::string, double> >& au_intensities, const std::vector<std::pair<std::string, double> >& au_occurences);
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2017-11-01 20:39:49 +01:00
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private:
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2017-12-15 20:56:58 +01:00
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// Blocking copy and move, as it doesn't make sense to read to write to the same file
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RecorderCSV & operator= (const RecorderCSV& other);
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RecorderCSV & operator= (const RecorderCSV&& other);
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RecorderCSV(const RecorderCSV&& other);
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RecorderCSV(const RecorderCSV& other);
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2017-11-01 20:39:49 +01:00
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// The actual output file stream that will be written
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std::ofstream output_file;
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// 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
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bool is_sequence;
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2017-11-02 21:11:58 +01:00
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// Keep track of what we are recording
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bool output_2D_landmarks;
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bool output_3D_landmarks;
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bool output_model_params;
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bool output_pose;
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bool output_AUs;
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bool output_gaze;
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2017-11-01 20:39:49 +01:00
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2017-11-02 21:11:58 +01:00
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std::vector<std::string> au_names_class;
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std::vector<std::string> au_names_reg;
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2017-11-01 20:39:49 +01:00
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};
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}
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#endif
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