Bringing all of the experiments to a new interface

exe/FaceLandmarkImg/FaceLandmarkImg.cpp

@@ -171,7 +171,7 @@ int main (int argc, char **argv)
 			cv::Point3f gaze_direction1(0, 0, -1);
 			cv::Vec2d gaze_angle(0, 0);
 
-			if (success && face_model.eye_model)
+			if (face_model.eye_model)
 			{
 				GazeAnalysis::EstimateGaze(face_model, gaze_direction0, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy, true);
 				GazeAnalysis::EstimateGaze(face_model, gaze_direction1, image_reader.fx, image_reader.fy, image_reader.cx, image_reader.cy, false);

lib/local/Utilities/src/RecorderCSV.cpp

@@ -208,11 +208,12 @@ void RecorderCSV::WriteLine(int observation_count, double time_stamp, bool landm
 	// Output the estimated gaze
 	if (output_gaze)
 	{
-		output_file << std::setprecision(3);
+		output_file << std::setprecision(6);
 		output_file << ", " << gazeDirection0.x << ", " << gazeDirection0.y << ", " << gazeDirection0.z
 			<< ", " << gazeDirection1.x << ", " << gazeDirection1.y << ", " << gazeDirection1.z;
 
 		// Output gaze angle (same format as head pose angle)
+		output_file << std::setprecision(3);
 		output_file << ", " << gaze_angle[0] << ", " << gaze_angle[1];
 
 		// Output the 2D eye landmarks

lib/local/Utilities/src/Visualizer.cpp

@@ -90,7 +90,6 @@ void Visualizer::SetImage(const cv::Mat& canvas, float fx, float fy, float cx, f
 {
 	// Convert the image to 8 bit RGB
 	captured_image = canvas.clone();
-	ConvertToRGB_8bit(captured_image);
 
 	this->fx = fx;
 	this->fy = fy;

matlab_runners/Action Unit Experiments/results/Bosphorus_res_int.txt

@@ -10,7 +10,7 @@ AU12 intensity, Corr - 0.804, RMS - 0.715, CCC - 0.766
 AU14 intensity, Corr - 0.357, RMS - 0.931, CCC - 0.277
 AU15 intensity, Corr - 0.516, RMS - 0.565, CCC - 0.431
 AU17 intensity, Corr - 0.554, RMS - 0.893, CCC - 0.477
-AU20 intensity, Corr - 0.411, RMS - 0.900, CCC - 0.277
+AU20 intensity, Corr - 0.411, RMS - 0.901, CCC - 0.277
 AU23 intensity, Corr - 0.351, RMS - 0.736, CCC - 0.274
 AU25 intensity, Corr - 0.846, RMS - 0.809, CCC - 0.822
 AU26 intensity, Corr - 0.516, RMS - 0.995, CCC - 0.453

matlab_runners/Action Unit Experiments/results/DISFA_valid_res.txt

@@ -9,4 +9,4 @@ AU15 results - corr 0.745, rms 0.269, ccc - 0.712
 AU17 results - corr 0.642, rms 0.517, ccc - 0.574
 AU20 results - corr 0.619, rms 0.311, ccc - 0.581
 AU25 results - corr 0.926, rms 0.500, ccc - 0.920
-AU26 results - corr 0.803, rms 0.449, ccc - 0.762
+AU26 results - corr 0.802, rms 0.449, ccc - 0.762

matlab_runners/Feature Point Experiments/results/landmark_detections.txt

@@ -1,9 +1,9 @@
 Type, mean, median
-err clnf: 0.054470, 0.039988
-err clnf wild: 0.053170, 0.038478
+err clnf: 0.054473, 0.040001
+err clnf wild: 0.053173, 0.038511
 err svr: 0.070548, 0.050640
-err svr wild: 0.067535, 0.048706
-err clnf no out: 0.043237, 0.030025
-err clnf wild no out: 0.041457, 0.027522
-err svr no out: 0.058768, 0.038836
-err svr wild no out: 0.054166, 0.036251
+err svr wild: 0.067535, 0.048691
+err clnf no out: 0.043240, 0.030040
+err clnf wild no out: 0.041460, 0.027516
+err svr no out: 0.058769, 0.038858
+err svr wild no out: 0.054168, 0.036253

matlab_runners/Full_test_suite.m

@@ -43,7 +43,7 @@ cd('../');
 %% Gaze
 cd('Gaze Experiments');
 extract_mpii_gaze_test
-assert(mean_error < 9.7)
+assert(mean_error < 9.6)
 assert(median_error < 9.0)
 cd('../');
 

matlab_runners/Gaze Experiments/mpii_1500_errs.txt

@@ -1,2 +1,2 @@
 Mean error, median error
-9.428, 8.611
+9.438, 8.611

matlab_runners/Head Pose Experiments/results/Pose_OF.txt

@@ -1,4 +1,4 @@
 Dataset and model,        pitch,  yaw,  roll,  mean,  median
-biwi error:  7.779,   6.302, 4.440,  6.174,  2.779
-bu error:    2.739,   3.348, 2.458,  2.848,  1.975
-ict error:   3.501,   3.988, 3.298,  3.596,  1.968
+biwi error:  7.778,   6.302, 4.441,  6.174,  2.777
+bu error:    2.739,   3.349, 2.459,  2.849,  1.974
+ict error:   3.498,   3.986, 3.298,  3.594,  1.966