mirror of
https://gitcode.com/gh_mirrors/ope/OpenFace.git
synced 2026-05-14 19:27:56 +00:00
148 lines
4.7 KiB
C++
148 lines
4.7 KiB
C++
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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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#include "RecorderCSV.h"
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// For sorting
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#include <algorithm>
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using namespace Recorder;
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// Default constructor initializes the variables
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RecorderCSV::RecorderCSV():output_file(){};
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// TODO the other 4 constructors + destructors?
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// Opening the file and preparing the header for it
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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,
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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)
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{
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output_file.open(output_file_name, std::ios_base::out);
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// Different headers if we are writing out the results on a sequence or an individual image
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if(this->is_sequence)
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{
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output_file << "frame, timestamp, confidence, success";
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}
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else
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{
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output_file << "face, confidence";
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}
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if (output_gaze)
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{
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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";
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for (int i = 0; i < num_eye_landmarks; ++i)
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{
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output_file << ", eye_lmk_x_" << i;
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}
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for (int i = 0; i < num_eye_landmarks; ++i)
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{
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output_file << ", eye_lmk_y_" << i;
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}
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}
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if (output_pose)
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{
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output_file << ", pose_Tx, pose_Ty, pose_Tz, pose_Rx, pose_Ry, pose_Rz";
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}
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if (output_2D_landmarks)
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{
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for (int i = 0; i < num_face_landmarks; ++i)
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{
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output_file << ", x_" << i;
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}
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for (int i = 0; i < num_face_landmarks; ++i)
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{
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output_file << ", y_" << i;
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}
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}
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if (output_3D_landmarks)
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{
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for (int i = 0; i < num_face_landmarks; ++i)
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{
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output_file << ", X_" << i;
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}
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for (int i = 0; i < num_face_landmarks; ++i)
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{
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output_file << ", Y_" << i;
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}
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for (int i = 0; i < num_face_landmarks; ++i)
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{
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output_file << ", Z_" << i;
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}
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}
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// 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
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if (output_model_params)
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{
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output_file << ", p_scale, p_rx, p_ry, p_rz, p_tx, p_ty";
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for (int i = 0; i < num_model_modes; ++i)
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{
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output_file << ", p_" << i;
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}
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}
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if (output_AUs)
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{
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std::sort(au_names_reg.begin(), au_names_reg.end());
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for (std::string reg_name : au_names_reg)
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{
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output_file << ", " << reg_name << "_r";
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}
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std::sort(au_names_class.begin(), au_names_class.end());
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for (std::string class_name : au_names_class)
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{
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output_file << ", " << class_name << "_c";
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}
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}
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output_file << std::endl;
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}
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// TODO check if the stream is open
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//void writeLine(int frame_count, double time_stamp, bool detection_success,
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// cv::Point3f gazeDirection0, cv::Point3f gazeDirection1, cv::Vec2d gaze_angle, cv::Vec6d& pose_estimate, double fx, double fy, double cx, double cy,
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// const FaceAnalysis::FaceAnalyser& face_analyser);
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// Closing the file and cleaning up
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void RecorderCSV::close()
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{
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output_file.close();
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}
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