Finishing HOG recording, starting to integrate a visualizer, so that output videos/images are consistent in C++ and C#
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6 changed files with 176 additions and 9 deletions
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@ -108,7 +108,10 @@ namespace OpenFaceOffline
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FaceAnalyserManaged face_analyser;
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GazeAnalyserManaged gaze_analyser;
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// Recording parameters (default values)
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// For visualization of results
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Visualizer visualizer_of;
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// For output recording
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Recorder recorder;
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public bool RecordAligned { get; set; } = false; // Aligned face images
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@ -300,12 +303,12 @@ namespace OpenFaceOffline
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// Predic eye gaze
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gaze_analyser.AddNextFrame(clnf_model, detectionSucceeding, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy());
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// Only the final face will contain the details
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VisualizeFeatures(frame, landmarks, i == 0, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy(), progress);
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// Record an observation
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RecordObservation(recorder, detectionSucceeding, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy());
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// Only the final face will contain the details
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VisualizeFeatures(frame, landmarks, i==0, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy(), progress);
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}
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latest_img = null;
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@ -468,6 +471,7 @@ namespace OpenFaceOffline
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private void VisualizeFeatures(RawImage frame, List<Tuple<double, double>> landmarks, bool new_image, double fx, double fy, double cx, double cy, double progress)
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{
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List<Tuple<Point, Point>> lines = null;
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List<Tuple<double, double>> eye_landmarks = null;
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List<Tuple<Point, Point>> gaze_lines = null;
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@ -486,6 +490,14 @@ namespace OpenFaceOffline
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double scale = 0;
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// Helps with recording and showing the visualizations
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///visualizer.SetObservationFaceAlign(sim_warped_img);
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//visualizer.SetObservationHOG(hog_descriptor, num_hog_rows, num_hog_cols);
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//visualizer.SetObservationLandmarks(face_model.detected_landmarks, 1.0, face_model.detection_success); // Set confidence to high to make sure we always visualize
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//visualizer.SetObservationPose(pose_estimate, 1.0);
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//visualizer.SetObservationGaze(gaze_direction0, gaze_direction1, LandmarkDetector::CalculateAllEyeLandmarks(face_model), LandmarkDetector::Calculate3DEyeLandmarks(face_model, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy), face_model.detection_certainty);
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if (detectionSucceeding)
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{
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@ -186,6 +186,7 @@
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<ClInclude Include="FaceDetectorInterop.h" />
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<ClInclude Include="OpenCVWrappers.h" />
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<ClInclude Include="RecorderInterop.h" />
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<ClInclude Include="VisualizerInterop.h" />
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</ItemGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\3rdParty\dlib\dlib.vcxproj">
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@ -47,5 +47,8 @@
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<ClInclude Include="RecorderInterop.h">
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<Filter>Header Files</Filter>
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</ClInclude>
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<ClInclude Include="VisualizerInterop.h">
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<Filter>Header Files</Filter>
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</ClInclude>
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</ItemGroup>
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</Project>
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@ -41,3 +41,4 @@
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#include "ImageReader.h"
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#include "FaceDetectorInterop.h"
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#include "RecorderInterop.h"
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#include "VisualizerInterop.h"
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@ -335,14 +335,28 @@ public:
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return HOG_vis_image;
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}
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OpenCVWrappers::RawImage^ GetLatestHOGFeature(System::Int32^ num_rows, System::Int32^ num_cols, System::Int32^ num_channels) {
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num_rows = gcnew System::Int32(*this->num_rows);
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num_cols = gcnew System::Int32(*this->num_cols);
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num_channels = gcnew System::Int32(31);
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OpenCVWrappers::RawImage^ GetLatestHOGFeature() {
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OpenCVWrappers::RawImage^ HOG_feature = gcnew OpenCVWrappers::RawImage(*hog_features);
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return HOG_feature;
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}
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// As the number of HOG rows and columns might not be known in advance, have methods for querying them
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int GetHOGRows()
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{
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return *num_rows;
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}
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int GetHOGCols()
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{
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return *num_cols;
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}
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// The number of channels is always the same
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int GetHOGChannels()
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{
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return 31;
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}
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void Reset()
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{
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face_analyser->Reset();
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136
lib/local/CppInerop/VisualizerInterop.h
Normal file
136
lib/local/CppInerop/VisualizerInterop.h
Normal file
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@ -0,0 +1,136 @@
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///////////////////////////////////////////////////////////////////////////////
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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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#pragma once
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#pragma unmanaged
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// Include all the unmanaged things we need.
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#include "Visualizer.h"
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#pragma managed
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using System::Collections::Generic::List;
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namespace UtilitiesOF {
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public ref class Visualizer
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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::Visualizer* m_visualizer;
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public:
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Visualizer(bool vis_track, bool vis_hog, bool vis_aligned)
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{
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m_visualizer = new Utilities::Visualizer(vis_track, vis_hog, vis_aligned);
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}
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void SetObservationGaze(System::Tuple<double, double, double>^ gaze_direction0, System::Tuple<double, double, double>^ gaze_direction1,
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List<System::Tuple<double, double>^>^ landmarks_2D, List<System::Tuple<double, double, double>^>^ landmarks_3D,
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double confidence)
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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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// 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_visualizer->SetObservationGaze(gaze_direction0_cv, gaze_direction1_cv, landmarks_2D_cv, landmarks_3D_cv, confidence);
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}
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// Setting the observations
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void SetObservationPose(List<double>^ pose, double confidence)
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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_visualizer->SetObservationPose(pose_vec, confidence);
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}
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void SetObservationFaceAlign(OpenCVWrappers::RawImage^ aligned_face_image)
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{
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m_visualizer->SetObservationFaceAlign(aligned_face_image->Mat);
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}
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void SetObservationHOG(bool success, OpenCVWrappers::RawImage^ observation_HOG, int num_cols, int num_rows)
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{
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m_visualizer->SetObservationHOG(observation_HOG->Mat, num_cols, num_rows);
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}
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void SetObservationLandmarks(List<System::Tuple<double, double>^>^ landmarks_2D, 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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// TODO add visibilities
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m_visualizer->SetObservationLandmarks(landmarks_2D_mat, 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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!Visualizer()
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{
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// Automatically closes capture object before freeing memory.
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if (m_visualizer != nullptr)
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{
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delete m_visualizer;
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}
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}
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// Destructor. Called on explicit Dispose() only.
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~Visualizer()
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{
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this->!Visualizer();
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}
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};
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}
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