Some more bug fixes with visualization and recording. Creating a metafile for recorded data.

exe/FeatureExtraction/FeatureExtraction.cpp

@@ -206,7 +206,7 @@ int main (int argc, char **argv)
 			visualizer.SetObservationHOG(hog_descriptor, num_hog_rows, num_hog_cols);
 			visualizer.SetObservationLandmarks(face_model.detected_landmarks, face_model.detection_certainty, detection_success);
 			visualizer.SetObservationPose(pose_estimate, face_model.detection_certainty);
-			visualizer.SetObservationGaze(gazeDirection0, gazeDirection1, gazeAngle, LandmarkDetector::CalculateAllEyeLandmarks(face_model), LandmarkDetector::Calculate3DEyeLandmarks(face_model, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy));
+			visualizer.SetObservationGaze(gazeDirection0, gazeDirection1, gazeAngle, LandmarkDetector::CalculateAllEyeLandmarks(face_model), LandmarkDetector::Calculate3DEyeLandmarks(face_model, sequence_reader.fx, sequence_reader.fy, sequence_reader.cx, sequence_reader.cy), face_model.detection_certainty);
 			visualizer.ShowObservation();
 
 			// Setting up the recorder output

lib/local/Utilities/include/RecorderOpenFace.h

@@ -105,9 +105,11 @@ namespace Utilities
 
 		// Keep track of the file and output root location
 		std::string record_root = "processed"; // By default we are writing in the processed directory in the working directory 
+		std::string of_filename;
 		std::string filename;
 		std::string csv_filename;
 		std::string aligned_output_directory;
+		std::ofstream metadata_file;
 
 		// The actual output file stream that will be written
 		RecorderCSV csv_recorder;

lib/local/Utilities/include/Visualizer.h

@@ -72,7 +72,7 @@ namespace Utilities
 		void SetObservationPose(const cv::Vec6d& pose, double confidence);
 		
 		// Gaze related observations
-		void SetObservationGaze(const cv::Point3f& gazeDirection0, const cv::Point3f& gazeDirection1, const cv::Vec2d& gaze_angle, const std::vector<cv::Point2d>& eye_landmarks, const std::vector<cv::Point3d>& eye_landmarks3d);
+		void SetObservationGaze(const cv::Point3f& gazeDirection0, const cv::Point3f& gazeDirection1, const cv::Vec2d& gaze_angle, const std::vector<cv::Point2d>& eye_landmarks, const std::vector<cv::Point3d>& eye_landmarks3d, double confidence);
 
 		// Face alignment related observations
 		void SetObservationFaceAlign(const cv::Mat& aligned_face);
@@ -88,6 +88,9 @@ namespace Utilities
 		bool vis_track;
 		bool vis_hog;
 		bool vis_align;
+		
+		// Can be adjusted to show less confident frames
+		double visualisation_boundary = 0.4;
 
 	private:
 

lib/local/Utilities/src/RecorderOpenFace.cpp

@@ -77,32 +77,80 @@ RecorderOpenFace::RecorderOpenFace(const std::string in_filename, RecorderOpenFa
 	// From the filename, strip out the name without directory and extension
 	filename = path(in_filename).replace_extension("").filename().string();
 
+	// Consuming the input arguments
+	bool* valid = new bool[arguments.size()];
+
+	for (size_t i = 0; i < arguments.size(); ++i)
+	{
+		valid[i] = true;
+	}
+
+	string record_root;
+	for (size_t i = 0; i < arguments.size(); ++i)
+	{
+		if (arguments[i].compare("-outroot") == 0)
+		{
+			record_root = arguments[i + 1];
+		}
+	}
+
 	// Determine output directory
+	bool output_found = false;
 	for (size_t i = 0; i < arguments.size(); ++i)
 	{
 		if (arguments[i].compare("-out_dir") == 0)
 		{
-			record_root = arguments[i + 1];
+			record_root = (boost::filesystem::path(record_root) / boost::filesystem::path(arguments[i + 1])).string();
+		}
+		else if (!output_found && arguments[i].compare("-of") == 0)
+		{
+			record_root = (boost::filesystem::path(record_root) / boost::filesystem::path(arguments[i + 1])).remove_filename().string();
+			filename = path(boost::filesystem::path(arguments[i + 1])).replace_extension("").filename().string();
+			valid[i] = false;
+			valid[i + 1] = false;
+			i++;
+			output_found = true;
+		}
+	}
+
+	for (int i = (int)arguments.size() - 1; i >= 0; --i)
+	{
+		if (!valid[i])
+		{
+			arguments.erase(arguments.begin() + i);
 		}
 	}
 
 	// Construct the directories required for the output
 	CreateDirectory(record_root);
 
+	// Create the filename for the general output file that contains all of the meta information about the recording
+	path of_det_name(filename);
+	of_det_name = path(record_root) / of_det_name.concat("_of_details.txt");
+
+	// Write in the of file what we are outputing what is the input etc.
+	metadata_file.open(of_det_name.string(), std::ios_base::out);
+
+	// Populate the metadata file
+	metadata_file << "Input:" << in_filename << endl;
+
 	// Create the required individual recorders, CSV, HOG, aligned, video
 	csv_filename = (path(record_root) / path(filename).replace_extension(".csv")).string();
+	metadata_file << "Output csv:" << csv_filename << endl;
 
 	// Consruct HOG recorder here
 	if(params.outputHOG())
 	{
 		std::string hog_filename = (path(record_root) / path(filename).replace_extension(".hog")).string();
 		hog_recorder.Open(hog_filename);
+		metadata_file << "Output HOG:" << csv_filename << endl;
 	}
 
 	// saving the videos	
 	if (params.outputTrackedVideo())
 	{
 		this->video_filename = (path(record_root) / path(filename).replace_extension(".avi")).string();
+		metadata_file << "Output video:" << this->video_filename << endl;
 	}
 
 	// Prepare image recording
@@ -110,9 +158,10 @@ RecorderOpenFace::RecorderOpenFace(const std::string in_filename, RecorderOpenFa
 	{
 		aligned_output_directory = (path(record_root) / path(filename + "_aligned")).string();
 		CreateDirectory(aligned_output_directory);
+		metadata_file << "Output aligned directory:" << this->aligned_output_directory << endl;
 	}
-
+	
-
+	
 	observation_count = 0;
 
 }
@@ -279,6 +328,8 @@ void RecorderOpenFace::Close()
 	hog_recorder.Close();
 	csv_recorder.Close();
 	video_writer.release();
+	metadata_file.close();
+
 }
 
 

lib/local/Utilities/src/Visualizer.cpp

@@ -109,23 +109,26 @@ void Visualizer::SetObservationHOG(const cv::Mat_<double>& hog_descriptor, int n
 void Visualizer::SetObservationLandmarks(const cv::Mat_<double>& landmarks_2D, double confidence, bool success, const cv::Mat_<int>& visibilities)
 {
 
-	// Draw 2D landmarks on the image
+	if(confidence > visualisation_boundary)
-	int n = landmarks_2D.rows / 2;
-
-	// Drawing feature points
-	for (int i = 0; i < n; ++i)
 	{
-		if (visibilities.empty() || visibilities.at<int>(i))
+		// Draw 2D landmarks on the image
+		int n = landmarks_2D.rows / 2;
+
+		// Drawing feature points
+		for (int i = 0; i < n; ++i)
 		{
-			cv::Point featurePoint(cvRound(landmarks_2D.at<double>(i) * (double)draw_multiplier), cvRound(landmarks_2D.at<double>(i + n) * (double)draw_multiplier));
+			if (visibilities.empty() || visibilities.at<int>(i))
+			{
+				cv::Point featurePoint(cvRound(landmarks_2D.at<double>(i) * (double)draw_multiplier), cvRound(landmarks_2D.at<double>(i + n) * (double)draw_multiplier));
 
-			// A rough heuristic for drawn point size
+				// A rough heuristic for drawn point size
-			int thickness = (int)std::ceil(3.0* ((double)captured_image.cols) / 640.0);
+				int thickness = (int)std::ceil(3.0* ((double)captured_image.cols) / 640.0);
-			int thickness_2 = (int)std::ceil(1.0* ((double)captured_image.cols) / 640.0);
+				int thickness_2 = (int)std::ceil(1.0* ((double)captured_image.cols) / 640.0);
 
-			cv::circle(captured_image, featurePoint, 1 * draw_multiplier, cv::Scalar(0, 0, 255), thickness, CV_AA, draw_shiftbits);
+				cv::circle(captured_image, featurePoint, 1 * draw_multiplier, cv::Scalar(0, 0, 255), thickness, CV_AA, draw_shiftbits);
-			cv::circle(captured_image, featurePoint, 1 * draw_multiplier, cv::Scalar(255, 0, 0), thickness_2, CV_AA, draw_shiftbits);
+				cv::circle(captured_image, featurePoint, 1 * draw_multiplier, cv::Scalar(255, 0, 0), thickness_2, CV_AA, draw_shiftbits);
 
+			}
 		}
 	}
 }
@@ -133,7 +136,7 @@ void Visualizer::SetObservationLandmarks(const cv::Mat_<double>& landmarks_2D, d
 void Visualizer::SetObservationPose(const cv::Vec6d& pose, double confidence)
 {
 
-	double visualisation_boundary = 0.4;
+
 
 	// Only draw if the reliability is reasonable, the value is slightly ad-hoc
 	if (confidence > visualisation_boundary)
@@ -154,78 +157,79 @@ void Visualizer::SetObservationPose(const cv::Vec6d& pose, double confidence)
 }
 
 // Eye gaze infomration drawing, first of eye landmarks then of gaze
-void Visualizer::SetObservationGaze(const cv::Point3f& gaze_direction0, const cv::Point3f& gaze_direction1, const cv::Vec2d& gaze_angle, const std::vector<cv::Point2d>& eye_landmarks2d, const std::vector<cv::Point3d>& eye_landmarks3d)
+void Visualizer::SetObservationGaze(const cv::Point3f& gaze_direction0, const cv::Point3f& gaze_direction1, const cv::Vec2d& gaze_angle, const std::vector<cv::Point2d>& eye_landmarks2d, const std::vector<cv::Point3d>& eye_landmarks3d, double confidence)
 {
-
+	if(confidence > visualisation_boundary)
-	if (eye_landmarks2d.size() > 0)
 	{
-		// First draw the eye region landmarks
+		if (eye_landmarks2d.size() > 0)
-		for (size_t i = 0; i < eye_landmarks2d.size(); ++i)
 		{
-			cv::Point featurePoint(cvRound(eye_landmarks2d[i].x * (double)draw_multiplier), cvRound(eye_landmarks2d[i].y * (double)draw_multiplier));
+			// First draw the eye region landmarks
+			for (size_t i = 0; i < eye_landmarks2d.size(); ++i)
+			{
+				cv::Point featurePoint(cvRound(eye_landmarks2d[i].x * (double)draw_multiplier), cvRound(eye_landmarks2d[i].y * (double)draw_multiplier));
 
-			// A rough heuristic for drawn point size
+				// A rough heuristic for drawn point size
-			int thickness = 1;
+				int thickness = 1;
-			int thickness_2 = 1;
+				int thickness_2 = 1;
 
-			size_t next_point = i + 1;
+				size_t next_point = i + 1;
-			if (i == 7)
+				if (i == 7)
-				next_point = 0;
+					next_point = 0;
-			if (i == 19)
+				if (i == 19)
-				next_point = 8;
+					next_point = 8;
-			if (i == 27)
+				if (i == 27)
-				next_point = 20;
+					next_point = 20;
 
-			if (i == 7 + 28)
+				if (i == 7 + 28)
-				next_point = 0 + 28;
+					next_point = 0 + 28;
-			if (i == 19 + 28)
+				if (i == 19 + 28)
-				next_point = 8 + 28;
+					next_point = 8 + 28;
-			if (i == 27 + 28)
+				if (i == 27 + 28)
-				next_point = 20 + 28;
+					next_point = 20 + 28;
 
-			cv::Point nextFeaturePoint(cvRound(eye_landmarks2d[next_point].x * (double)draw_multiplier), cvRound(eye_landmarks2d[next_point].y * (double)draw_multiplier));
+				cv::Point nextFeaturePoint(cvRound(eye_landmarks2d[next_point].x * (double)draw_multiplier), cvRound(eye_landmarks2d[next_point].y * (double)draw_multiplier));
-			if ((i < 28 && (i < 8 || i > 19)) || (i >= 28 && (i < 8 + 28 || i > 19 + 28)))
+				if ((i < 28 && (i < 8 || i > 19)) || (i >= 28 && (i < 8 + 28 || i > 19 + 28)))
-				cv::line(captured_image, featurePoint, nextFeaturePoint, cv::Scalar(255, 0, 0), thickness_2, CV_AA, draw_shiftbits);
+					cv::line(captured_image, featurePoint, nextFeaturePoint, cv::Scalar(255, 0, 0), thickness_2, CV_AA, draw_shiftbits);
-			else
+				else
-				cv::line(captured_image, featurePoint, nextFeaturePoint, cv::Scalar(0, 0, 255), thickness_2, CV_AA, draw_shiftbits);
+					cv::line(captured_image, featurePoint, nextFeaturePoint, cv::Scalar(0, 0, 255), thickness_2, CV_AA, draw_shiftbits);
+
+			}
+
+			// Now draw the gaze lines themselves
+			cv::Mat cameraMat = (cv::Mat_<double>(3, 3) << fx, 0, cx, 0, fy, cy, 0, 0, 0);
+
+			// Grabbing the pupil location, to draw eye gaze need to know where the pupil is
+			cv::Point3d pupil_left(0, 0, 0);
+			cv::Point3d pupil_right(0, 0, 0);
+			for (size_t i = 0; i < 8; ++i)
+			{
+				pupil_left = pupil_left + eye_landmarks3d[i];
+				pupil_right = pupil_right + eye_landmarks3d[i + eye_landmarks3d.size()/2];
+			}
+			pupil_left = pupil_left / 8;
+			pupil_right = pupil_right / 8;
+
+			std::vector<cv::Point3d> points_left;
+			points_left.push_back(cv::Point3d(pupil_left));
+			points_left.push_back(cv::Point3d(pupil_left + cv::Point3d(gaze_direction0)*50.0));
+
+			std::vector<cv::Point3d> points_right;
+			points_right.push_back(cv::Point3d(pupil_right));
+			points_right.push_back(cv::Point3d(pupil_right + cv::Point3d(gaze_direction1)*50.0));
+
+			cv::Mat_<double> proj_points;
+			cv::Mat_<double> mesh_0 = (cv::Mat_<double>(2, 3) << points_left[0].x, points_left[0].y, points_left[0].z, points_left[1].x, points_left[1].y, points_left[1].z);
+			Project(proj_points, mesh_0, fx, fy, cx, cy);
+			cv::line(captured_image, cv::Point(cvRound(proj_points.at<double>(0, 0) * (double)draw_multiplier), cvRound(proj_points.at<double>(0, 1) * (double)draw_multiplier)),
+				cv::Point(cvRound(proj_points.at<double>(1, 0) * (double)draw_multiplier), cvRound(proj_points.at<double>(1, 1) * (double)draw_multiplier)), cv::Scalar(110, 220, 0), 2, CV_AA, draw_shiftbits);
+
+			cv::Mat_<double> mesh_1 = (cv::Mat_<double>(2, 3) << points_right[0].x, points_right[0].y, points_right[0].z, points_right[1].x, points_right[1].y, points_right[1].z);
+			Project(proj_points, mesh_1, fx, fy, cx, cy);
+			cv::line(captured_image, cv::Point(cvRound(proj_points.at<double>(0, 0) * (double)draw_multiplier), cvRound(proj_points.at<double>(0, 1) * (double)draw_multiplier)),
+				cv::Point(cvRound(proj_points.at<double>(1, 0) * (double)draw_multiplier), cvRound(proj_points.at<double>(1, 1) * (double)draw_multiplier)), cv::Scalar(110, 220, 0), 2, CV_AA, draw_shiftbits);
 
 		}
-
-		// Now draw the gaze lines themselves
-		cv::Mat cameraMat = (cv::Mat_<double>(3, 3) << fx, 0, cx, 0, fy, cy, 0, 0, 0);
-
-		// Grabbing the pupil location, to draw eye gaze need to know where the pupil is
-		cv::Point3d pupil_left(0, 0, 0);
-		cv::Point3d pupil_right(0, 0, 0);
-		for (size_t i = 0; i < 8; ++i)
-		{
-			pupil_left = pupil_left + eye_landmarks3d[i];
-			pupil_right = pupil_right + eye_landmarks3d[i + eye_landmarks3d.size()/2];
-		}
-		pupil_left = pupil_left / 8;
-		pupil_right = pupil_right / 8;
-
-		std::vector<cv::Point3d> points_left;
-		points_left.push_back(cv::Point3d(pupil_left));
-		points_left.push_back(cv::Point3d(pupil_left + cv::Point3d(gaze_direction0)*50.0));
-
-		std::vector<cv::Point3d> points_right;
-		points_right.push_back(cv::Point3d(pupil_right));
-		points_right.push_back(cv::Point3d(pupil_right + cv::Point3d(gaze_direction1)*50.0));
-
-		cv::Mat_<double> proj_points;
-		cv::Mat_<double> mesh_0 = (cv::Mat_<double>(2, 3) << points_left[0].x, points_left[0].y, points_left[0].z, points_left[1].x, points_left[1].y, points_left[1].z);
-		Project(proj_points, mesh_0, fx, fy, cx, cy);
-		cv::line(captured_image, cv::Point(cvRound(proj_points.at<double>(0, 0) * (double)draw_multiplier), cvRound(proj_points.at<double>(0, 1) * (double)draw_multiplier)),
-			cv::Point(cvRound(proj_points.at<double>(1, 0) * (double)draw_multiplier), cvRound(proj_points.at<double>(1, 1) * (double)draw_multiplier)), cv::Scalar(110, 220, 0), 2, CV_AA, draw_shiftbits);
-
-		cv::Mat_<double> mesh_1 = (cv::Mat_<double>(2, 3) << points_right[0].x, points_right[0].y, points_right[0].z, points_right[1].x, points_right[1].y, points_right[1].z);
-		Project(proj_points, mesh_1, fx, fy, cx, cy);
-		cv::line(captured_image, cv::Point(cvRound(proj_points.at<double>(0, 0) * (double)draw_multiplier), cvRound(proj_points.at<double>(0, 1) * (double)draw_multiplier)),
-			cv::Point(cvRound(proj_points.at<double>(1, 0) * (double)draw_multiplier), cvRound(proj_points.at<double>(1, 1) * (double)draw_multiplier)), cv::Scalar(110, 220, 0), 2, CV_AA, draw_shiftbits);
-
 	}
-
 }
 
 void Visualizer::ShowObservation()

matlab_runners/Head Pose Experiments/run_biwi_experiment.m

@@ -14,7 +14,7 @@ dbSeqDir = dbSeqDir(3:end);
 
 output_dir = cat(2, output_dir, '/');
 
-command = sprintf('%s -inroot "%s" -out_dir "%s" -fx 505 -fy 505 -cx 320 -cy 240 -pose -vis-track ', executable, rootDir, output_dir);      
+command = sprintf('%s -inroot "%s" -outroot "%s" -fx 505 -fy 505 -cx 320 -cy 240 -pose -vis-track ', executable, rootDir, output_dir);      
      
 if(verbose)
     command = cat(2, command, [' -tracked ' outputVideo]);
@@ -26,7 +26,7 @@ end
     
 for i=1:numel(dbSeqDir)    
     inputFile = [biwiDir dbSeqDir(i).name '/colour.avi'];
-    command = cat(2, command, sprintf(' -f "%s" ', inputFile));
+    command = sprintf('%s -f "%s" -of "%s" ', command, inputFile, dbSeqDir(i).name);
 end
 
 if(isunix)