147 lines
5.6 KiB
C++
147 lines
5.6 KiB
C++
///////////////////////////////////////////////////////////////////////////////
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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 Baltrušaitis, 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 Baltrušaitis, 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 Baltrušaitis, 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 Baltrušaitis, 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_OPENFACE_h_
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#define __RECORDER_OPENFACE_h_
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#include "RecorderCSV.h"
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#include "RecorderHOG.h"
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// System includes
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#include <vector>
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#include <opencv2/core/core.hpp>
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namespace Recorder
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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 RecorderOpenFace {
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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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RecorderOpenFace(const std::string out_directory, const std::string in_filename, bool sequence, bool output_2D_landmarks, bool output_3D_landmarks, bool output_model_params, bool output_pose,
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bool output_AUs, bool output_gaze, bool output_hog, bool output_tracked_video, bool output_aligned_faces, int num_face_landmarks, int num_model_modes, int num_eye_landmarks,
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const std::vector<std::string>& au_names_class, const std::vector<std::string>& au_names_reg);
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// Simplified constructor that records all
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RecorderOpenFace(const std::string out_directory, const std::string in_filename, bool sequence, int num_face_landmarks, int num_model_modes, int num_eye_landmarks,
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const std::vector<std::string>& au_names_class, const std::vector<std::string>& au_names_reg);
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// TODO copy, move, destructors
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// Closing and cleaning up the recorder
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void Close();
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// Adding observations to the recorder
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// Required observations for video/image-sequence
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void SetObservationTimestamp(double timestamp);
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// All observations relevant to facial landmarks
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void SetObservationLandmarks(const cv::Mat_<double>& landmarks_2D, const cv::Mat_<double>& landmarks_3D,
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const cv::Vec6d& params_global, const cv::Mat_<double>& params_local, double confidence, bool success);
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// Pose related observations
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void SetObservationPose(const cv::Vec6d& pose);
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// AU related observations
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void SetObservationActionUnits(const std::vector<std::pair<std::string, double> >& au_intensities,
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const std::vector<std::pair<std::string, double> >& au_occurences);
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// Gaze related observations
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void SetObservationGaze(const cv::Point3f& gazeDirection0, const cv::Point3f& gazeDirection1,
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const cv::Vec2d& gaze_angle, const cv::Mat_<double>& eye_landmarks);
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// Face alignment related observations
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void SetObservationFaceAlign(const cv::Mat& aligned_face);
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// HOG feature related observations
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void SetObservationHOG(bool good_frame, const cv::Mat_<double>& hog_descriptor, int num_cols, int num_rows, int num_channels);
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void WriteObservation();
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private:
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// Keep track of the file and output root location
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std::string record_root;
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std::string filename;
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// The actual output file stream that will be written
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RecorderCSV csv_recorder;
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RecorderHOG hog_recorder;
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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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// 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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bool output_hog;
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bool output_tracked_video;
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bool output_aligned_faces;
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// The actual temporary storage for the observations
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double timestamp;
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// Facial landmark related observations
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cv::Mat_<double> landmarks_2D;
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cv::Mat_<double> landmarks_3D;
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cv::Vec6d params_global;
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cv::Mat_<double> params_local;
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double landmark_detection_confidence;
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bool landmark_detection_success;
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// Head pose related observations
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cv::Vec6d head_pose;
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// Action Unit related observations
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std::vector<std::pair<std::string, double> > au_intensities;
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std::vector<std::pair<std::string, double> > au_occurences;
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// Gaze related observations
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cv::Point3f& gazeDirection0;
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cv::Point3f& gazeDirection1;
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cv::Vec2d& gaze_angle;
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cv::Mat_<double>& eye_landmarks;
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};
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}
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#endif |