Finishing HOG recording, starting to integrate a visualizer, so that output videos/images are consistent in C++ and C#

gui/OpenFaceOffline/MainWindow.xaml.cs

@@ -108,7 +108,10 @@ namespace OpenFaceOffline
         FaceAnalyserManaged face_analyser;
         GazeAnalyserManaged gaze_analyser;
 
-        // Recording parameters (default values)
+        // For visualization of results
+        Visualizer visualizer_of;
+
+        // For output recording
         Recorder recorder;
 
         public bool RecordAligned { get; set; } = false; // Aligned face images
@@ -300,12 +303,12 @@ namespace OpenFaceOffline
                     // Predic eye gaze
                     gaze_analyser.AddNextFrame(clnf_model, detectionSucceeding, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy());
 
+                    // Only the final face will contain the details
+                    VisualizeFeatures(frame, landmarks, i == 0, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy(), progress);
+
                     // Record an observation
                     RecordObservation(recorder, detectionSucceeding, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy());
 
-                    // Only the final face will contain the details
-                    VisualizeFeatures(frame, landmarks, i==0, reader.GetFx(), reader.GetFy(), reader.GetCx(), reader.GetCy(), progress);
-
                 }
 
                 latest_img = null;
@@ -468,6 +471,7 @@ namespace OpenFaceOffline
 
         private void VisualizeFeatures(RawImage frame, List<Tuple<double, double>> landmarks, bool new_image, double fx, double fy, double cx, double cy, double progress)
         {
+
             List<Tuple<Point, Point>> lines = null;
             List<Tuple<double, double>> eye_landmarks = null;
             List<Tuple<Point, Point>> gaze_lines = null;
@@ -486,6 +490,14 @@ namespace OpenFaceOffline
 
             double scale = 0;
 
+            // Helps with recording and showing the visualizations
+            ///visualizer.SetObservationFaceAlign(sim_warped_img);
+            //visualizer.SetObservationHOG(hog_descriptor, num_hog_rows, num_hog_cols);
+            //visualizer.SetObservationLandmarks(face_model.detected_landmarks, 1.0, face_model.detection_success); // Set confidence to high to make sure we always visualize
+            //visualizer.SetObservationPose(pose_estimate, 1.0);
+            //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);
+
+
             if (detectionSucceeding)
             {
                 

lib/local/CppInerop/CppInerop.vcxproj

@@ -186,6 +186,7 @@
     <ClInclude Include="FaceDetectorInterop.h" />
     <ClInclude Include="OpenCVWrappers.h" />
     <ClInclude Include="RecorderInterop.h" />
+    <ClInclude Include="VisualizerInterop.h" />
   </ItemGroup>
   <ItemGroup>
     <ProjectReference Include="..\..\3rdParty\dlib\dlib.vcxproj">

lib/local/CppInerop/CppInerop.vcxproj.filters

@@ -47,5 +47,8 @@
     <ClInclude Include="RecorderInterop.h">
       <Filter>Header Files</Filter>
     </ClInclude>
+    <ClInclude Include="VisualizerInterop.h">
+      <Filter>Header Files</Filter>
+    </ClInclude>
   </ItemGroup>
 </Project>

lib/local/CppInerop/CppInterop.cpp

@@ -40,4 +40,5 @@
 #include "CameraInterop.h"
 #include "ImageReader.h"
 #include "FaceDetectorInterop.h"
-#include "RecorderInterop.h"
+#include "RecorderInterop.h"
+#include "VisualizerInterop.h"

lib/local/CppInerop/FaceAnalyserInterop.h

@@ -335,14 +335,28 @@ public:
 		return HOG_vis_image;
 	}
 	
-	OpenCVWrappers::RawImage^ GetLatestHOGFeature(System::Int32^ num_rows, System::Int32^ num_cols, System::Int32^ num_channels) {
+	OpenCVWrappers::RawImage^ GetLatestHOGFeature() {
-		num_rows = gcnew System::Int32(*this->num_rows);
-		num_cols = gcnew System::Int32(*this->num_cols);
-		num_channels = gcnew System::Int32(31);
 		OpenCVWrappers::RawImage^ HOG_feature = gcnew OpenCVWrappers::RawImage(*hog_features);
 		return HOG_feature;
 	}
 
+	// As the number of HOG rows and columns might not be known in advance, have methods for querying them
+	int GetHOGRows()
+	{
+		return *num_rows;
+	}
+
+	int GetHOGCols()
+	{
+		return *num_cols;
+	}
+
+	// The number of channels is always the same
+	int GetHOGChannels()
+	{
+		return 31;
+	}
+
 	void Reset()
 	{
 		face_analyser->Reset();

lib/local/CppInerop/VisualizerInterop.h

@@ -0,0 +1,136 @@
+///////////////////////////////////////////////////////////////////////////////
+// Copyright (C) 2017, Tadas Baltrusaitis.
+//
+// ACADEMIC OR NON-PROFIT ORGANIZATION NONCOMMERCIAL RESEARCH USE ONLY
+//
+// BY USING OR DOWNLOADING THE SOFTWARE, YOU ARE AGREEING TO THE TERMS OF THIS LICENSE AGREEMENT.  
+// IF YOU DO NOT AGREE WITH THESE TERMS, YOU MAY NOT USE OR DOWNLOAD THE SOFTWARE.
+//
+// License can be found in OpenFace-license.txt
+
+//     * Any publications arising from the use of this software, including but
+//       not limited to academic journal and conference publications, technical
+//       reports and manuals, must cite at least one of the following works:
+//
+//       OpenFace: an open source facial behavior analysis toolkit
+//       Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
+//       in IEEE Winter Conference on Applications of Computer Vision, 2016  
+//
+//       Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
+//       Erroll Wood, Tadas Baltrušaitis, Xucong Zhang, Yusuke Sugano, Peter Robinson, and Andreas Bulling 
+//       in IEEE International. Conference on Computer Vision (ICCV),  2015 
+//
+//       Cross-dataset learning and person-speci?c normalisation for automatic Action Unit detection
+//       Tadas Baltrušaitis, Marwa Mahmoud, and Peter Robinson 
+//       in Facial Expression Recognition and Analysis Challenge, 
+//       IEEE International Conference on Automatic Face and Gesture Recognition, 2015 
+//
+//       Constrained Local Neural Fields for robust facial landmark detection in the wild.
+//       Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency. 
+//       in IEEE Int. Conference on Computer Vision Workshops, 300 Faces in-the-Wild Challenge, 2013.    
+//
+///////////////////////////////////////////////////////////////////////////////
+
+#pragma once
+
+#pragma unmanaged
+
+// Include all the unmanaged things we need.
+
+#include "Visualizer.h"
+
+#pragma managed
+
+using System::Collections::Generic::List;
+
+namespace UtilitiesOF {
+
+	public ref class Visualizer
+	{
+	private:
+
+		// OpenCV based video capture for reading from files
+		Utilities::Visualizer* m_visualizer;
+
+	public:
+
+		Visualizer(bool vis_track, bool vis_hog, bool vis_aligned)
+		{
+			m_visualizer = new Utilities::Visualizer(vis_track, vis_hog, vis_aligned);
+		}
+
+		void SetObservationGaze(System::Tuple<double, double, double>^ gaze_direction0, System::Tuple<double, double, double>^ gaze_direction1,
+			List<System::Tuple<double, double>^>^ landmarks_2D, List<System::Tuple<double, double, double>^>^ landmarks_3D,
+			double confidence)
+		{
+			cv::Point3f gaze_direction0_cv(gaze_direction0->Item1, gaze_direction0->Item2, gaze_direction0->Item3);
+			cv::Point3f gaze_direction1_cv(gaze_direction1->Item1, gaze_direction1->Item2, gaze_direction1->Item3);
+
+			// Construct an OpenCV matrix from the landmarks
+			std::vector<cv::Point2d> landmarks_2D_cv;
+			for (int i = 0; i < landmarks_2D->Count; ++i)
+			{
+				landmarks_2D_cv.push_back(cv::Point2d(landmarks_2D[i]->Item1, landmarks_2D[i]->Item2));
+			}
+
+			// Construct an OpenCV matrix from the landmarks
+			std::vector<cv::Point3d> landmarks_3D_cv;
+			for (int i = 0; i < landmarks_3D->Count; ++i)
+			{
+				landmarks_3D_cv.push_back(cv::Point3d(landmarks_3D[i]->Item1, landmarks_3D[i]->Item2, landmarks_3D[i]->Item3));
+			}
+
+			m_visualizer->SetObservationGaze(gaze_direction0_cv, gaze_direction1_cv, landmarks_2D_cv, landmarks_3D_cv, confidence);
+		}
+
+		// Setting the observations
+		void SetObservationPose(List<double>^ pose, double confidence)
+		{
+			cv::Vec6d pose_vec(pose[0], pose[1], pose[2], pose[3], pose[4], pose[5]);
+			m_visualizer->SetObservationPose(pose_vec, confidence);
+		}
+
+		void SetObservationFaceAlign(OpenCVWrappers::RawImage^ aligned_face_image)
+		{
+			m_visualizer->SetObservationFaceAlign(aligned_face_image->Mat);
+		}
+
+		void SetObservationHOG(bool success, OpenCVWrappers::RawImage^ observation_HOG, int num_cols, int num_rows)
+		{
+			m_visualizer->SetObservationHOG(observation_HOG->Mat, num_cols, num_rows);
+		}
+
+		void SetObservationLandmarks(List<System::Tuple<double, double>^>^ landmarks_2D, double confidence, bool success)
+		{
+			// Construct an OpenCV matrix from the landmarks
+			cv::Mat_<double> landmarks_2D_mat(landmarks_2D->Count * 2, 1, 0.0);
+			for (int i = 0; i < landmarks_2D->Count; ++i)
+			{
+				landmarks_2D_mat.at<double>(i, 0) = landmarks_2D[i]->Item1;
+				landmarks_2D_mat.at<double>(i + landmarks_2D->Count, 0) = landmarks_2D[i]->Item2;
+			}
+			// TODO add visibilities
+			m_visualizer->SetObservationLandmarks(landmarks_2D_mat, confidence, success);
+		}
+
+		// Finalizer. Definitely called before Garbage Collection,
+		// but not automatically called on explicit Dispose().
+		// May be called multiple times.
+		!Visualizer()
+		{
+			// Automatically closes capture object before freeing memory.	
+			if (m_visualizer != nullptr)
+			{
+				delete m_visualizer;
+			}
+
+		}
+
+		// Destructor. Called on explicit Dispose() only.
+		~Visualizer()
+		{
+			this->!Visualizer();
+		}
+	};
+
+}