250 lines
8.8 KiB
C++
250 lines
8.8 KiB
C++
///////////////////////////////////////////////////////////////////////////////
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// Copyright (C) 2017, Tadas Baltrusaitis.
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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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// * 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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// Camera_Interop.h
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#pragma once
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#pragma unmanaged
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// Include all the unmanaged things we need.
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#include "RecorderOpenFace.h"
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#pragma managed
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#include <msclr\marshal.h>
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#include <msclr\marshal_cppstd.h>
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namespace UtilitiesOF {
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public ref class RecorderOpenFaceParameters
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{
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private:
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Utilities::RecorderOpenFaceParameters *m_params;
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public:
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RecorderOpenFaceParameters(bool sequence, bool is_from_webcam, bool output_2D_landmarks, bool output_3D_landmarks,
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bool output_model_params, bool output_pose, bool output_AUs, bool output_gaze, bool output_hog, bool output_tracked,
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bool output_aligned_faces, float fx, float fy, float cx, float cy, double fps_vid_out)
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{
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m_params = new Utilities::RecorderOpenFaceParameters(sequence, is_from_webcam,
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output_2D_landmarks, output_3D_landmarks, output_model_params, output_pose, output_AUs,
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output_gaze, output_hog, output_tracked, output_aligned_faces, fx, fy, cx, cy, fps_vid_out);
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}
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Utilities::RecorderOpenFaceParameters * GetParams()
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{
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return m_params;
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}
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!RecorderOpenFaceParameters()
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{
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// Automatically closes capture object before freeing memory.
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if (m_params != nullptr)
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{
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delete m_params;
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}
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}
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// Destructor. Called on explicit Dispose() only.
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~RecorderOpenFaceParameters()
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{
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this->!RecorderOpenFaceParameters();
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}
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};
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public ref class RecorderOpenFace
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{
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private:
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// OpenCV based video capture for reading from files
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Utilities::RecorderOpenFace* m_recorder;
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public:
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// Can provide a directory, or a list of files
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RecorderOpenFace(System::String^ in_filename, UtilitiesOF::RecorderOpenFaceParameters^ parameters, System::String^ output_directory)
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{
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std::string in_filename_std = msclr::interop::marshal_as<std::string>(in_filename);
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std::string output_directory_std = msclr::interop::marshal_as<std::string>(output_directory);
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m_recorder = new Utilities::RecorderOpenFace(in_filename_std, *parameters->GetParams(), output_directory_std);
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}
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void Close()
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{
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m_recorder->Close();
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}
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void WriteObservation()
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{
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m_recorder->WriteObservation();
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}
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void SetObservationGaze(System::Tuple<double, double, double>^ gaze_direction0, System::Tuple<double, double, double>^ gaze_direction1, System::Tuple<double, double>^ gaze_angle,
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List<System::Tuple<double, double>^>^ landmarks_2D, List<System::Tuple<double,double,double>^>^ landmarks_3D)
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{
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cv::Point3f gaze_direction0_cv(gaze_direction0->Item1, gaze_direction0->Item2, gaze_direction0->Item3);
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cv::Point3f gaze_direction1_cv(gaze_direction1->Item1, gaze_direction1->Item2, gaze_direction1->Item3);
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cv::Vec2d gaze_angle_cv(gaze_angle->Item1, gaze_angle->Item2);
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// Construct an OpenCV matrix from the landmarks
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std::vector<cv::Point2d> landmarks_2D_cv;
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for (int i = 0; i < landmarks_2D->Count; ++i)
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{
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landmarks_2D_cv.push_back(cv::Point2d(landmarks_2D[i]->Item1, landmarks_2D[i]->Item2));
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}
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// Construct an OpenCV matrix from the landmarks
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std::vector<cv::Point3d> landmarks_3D_cv;
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for (int i = 0; i < landmarks_3D->Count; ++i)
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{
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landmarks_3D_cv.push_back(cv::Point3d(landmarks_3D[i]->Item1, landmarks_3D[i]->Item2, landmarks_3D[i]->Item3));
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}
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m_recorder->SetObservationGaze(gaze_direction0_cv, gaze_direction1_cv, gaze_angle_cv, landmarks_2D_cv, landmarks_3D_cv);
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}
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System::String^ GetCSVFile()
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{
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return gcnew System::String(m_recorder->GetCSVFile().c_str());
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}
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// Setting the observations
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void SetObservationTimestamp(double timestamp)
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{
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m_recorder->SetObservationTimestamp(timestamp);
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}
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void SetObservationPose(List<double>^ pose)
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{
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cv::Vec6d pose_vec(pose[0], pose[1], pose[2], pose[3], pose[4], pose[5]);
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m_recorder->SetObservationPose(pose_vec);
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}
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void SetObservationActionUnits(Dictionary<System::String^, double>^ au_regs, Dictionary<System::String^, double>^ au_class)
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{
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std::vector<std::pair<std::string, double> > au_regs_std;
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auto enum_reg = au_regs->GetEnumerator();
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while (enum_reg.MoveNext())
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{
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std::string au_name = msclr::interop::marshal_as<std::string>(enum_reg.Current.Key);
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double value = (double)enum_reg.Current.Value;
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au_regs_std.push_back(std::pair<std::string, double>(au_name, value));
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}
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std::vector<std::pair<std::string, double> > au_class_std;
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auto enum_class = au_class->GetEnumerator();
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while (enum_class.MoveNext())
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{
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std::string au_name = msclr::interop::marshal_as<std::string>(enum_class.Current.Key);
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double value = (double)enum_class.Current.Value;
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au_class_std.push_back(std::pair<std::string, double>(au_name, value));
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}
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m_recorder->SetObservationActionUnits(au_regs_std, au_class_std);
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}
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void SetObservationFaceAlign(OpenCVWrappers::RawImage^ aligned_face_image)
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{
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m_recorder->SetObservationFaceAlign(aligned_face_image->Mat);
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}
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void SetObservationVisualization(OpenCVWrappers::RawImage^ vis_image)
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{
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m_recorder->SetObservationVisualization(vis_image->Mat);
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}
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void SetObservationHOG(bool success, OpenCVWrappers::RawImage^ aligned_face_image, int num_cols, int num_rows, int num_channels)
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{
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m_recorder->SetObservationHOG(success, aligned_face_image->Mat, num_cols, num_rows, num_channels);
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}
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void SetObservationLandmarks(List<System::Tuple<double, double>^>^ landmarks_2D, List<System::Tuple<double, double, double>^>^ landmarks_3D, List<double>^ params_global, List<double>^ params_local, double confidence, bool success)
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{
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// Construct an OpenCV matrix from the landmarks
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cv::Mat_<double> landmarks_2D_mat(landmarks_2D->Count * 2, 1, 0.0);
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for (int i = 0; i < landmarks_2D->Count; ++i)
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{
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landmarks_2D_mat.at<double>(i, 0) = landmarks_2D[i]->Item1;
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landmarks_2D_mat.at<double>(i + landmarks_2D->Count, 0) = landmarks_2D[i]->Item2;
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}
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// Construct an OpenCV matrix from the landmarks
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cv::Mat_<double> landmarks_3D_mat(landmarks_3D->Count * 3, 1, 0.0);
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for (int i = 0; i < landmarks_3D->Count; ++i)
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{
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landmarks_3D_mat.at<double>(i, 0) = landmarks_3D[i]->Item1;
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landmarks_3D_mat.at<double>(i + landmarks_3D->Count, 0) = landmarks_3D[i]->Item2;
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landmarks_3D_mat.at<double>(i + 2 * landmarks_3D->Count, 0) = landmarks_3D[i]->Item3;
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}
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cv::Vec6d params_global_vec(params_global[0], params_global[1], params_global[2], params_global[3], params_global[4], params_global[5]);
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cv::Mat_<double> params_local_vec(params_local->Count, 1, 0.0);
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for (int i = 0; i < params_local->Count; ++i)
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{
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params_local_vec.at<double>(i, 0) = params_local[i];
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}
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m_recorder->SetObservationLandmarks(landmarks_2D_mat, landmarks_3D_mat, params_global_vec, params_local_vec, confidence, success);
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}
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// Finalizer. Definitely called before Garbage Collection,
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// but not automatically called on explicit Dispose().
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// May be called multiple times.
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!RecorderOpenFace()
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{
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// Automatically closes capture object before freeing memory.
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if (m_recorder != nullptr)
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{
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delete m_recorder;
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}
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}
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// Destructor. Called on explicit Dispose() only.
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~RecorderOpenFace()
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{
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this->!RecorderOpenFace();
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}
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};
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}
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