Making sure the full set of experiments can run on both unix and Windows machines and that the results are the same.

matlab_runners/Action Unit Experiments/results/DISFA_valid_res.txt

@@ -1,12 +1,12 @@
-AU1 results - corr 0.825, rms 0.414, ccc - 0.802
+AU1 results - corr 0.825, rms 0.413, ccc - 0.803
-AU2 results - corr 0.766, rms 0.443, ccc - 0.661
+AU2 results - corr 0.765, rms 0.444, ccc - 0.659
-AU4 results - corr 0.874, rms 0.562, ccc - 0.849
+AU4 results - corr 0.863, rms 0.583, ccc - 0.838
-AU5 results - corr 0.742, rms 0.182, ccc - 0.714
+AU5 results - corr 0.749, rms 0.179, ccc - 0.717
-AU6 results - corr 0.701, rms 0.610, ccc - 0.655
+AU6 results - corr 0.702, rms 0.604, ccc - 0.657
-AU9 results - corr 0.743, rms 0.383, ccc - 0.692
+AU9 results - corr 0.742, rms 0.384, ccc - 0.689
-AU12 results - corr 0.867, rms 0.506, ccc - 0.853
+AU12 results - corr 0.865, rms 0.510, ccc - 0.850
-AU15 results - corr 0.744, rms 0.271, ccc - 0.716
+AU15 results - corr 0.747, rms 0.268, ccc - 0.714
-AU17 results - corr 0.645, rms 0.520, ccc - 0.578
+AU17 results - corr 0.646, rms 0.515, ccc - 0.578
-AU20 results - corr 0.622, rms 0.311, ccc - 0.586
+AU20 results - corr 0.637, rms 0.304, ccc - 0.595
-AU25 results - corr 0.926, rms 0.501, ccc - 0.919
+AU25 results - corr 0.926, rms 0.499, ccc - 0.920
-AU26 results - corr 0.805, rms 0.447, ccc - 0.765
+AU26 results - corr 0.805, rms 0.447, ccc - 0.764

matlab_runners/Action Unit Experiments/results/FERA2011_res_class.txt

@@ -1,11 +1,11 @@
-AU1 class, Precision - 0.594, Recall - 0.643, F1 - 0.617
+AU1 class, Precision - 0.588, Recall - 0.708, F1 - 0.643
-AU2 class, Precision - 0.474, Recall - 0.779, F1 - 0.590
+AU2 class, Precision - 0.473, Recall - 0.749, F1 - 0.580
-AU4 class, Precision - 0.519, Recall - 0.727, F1 - 0.605
+AU4 class, Precision - 0.509, Recall - 0.745, F1 - 0.605
-AU6 class, Precision - 0.809, Recall - 0.669, F1 - 0.732
+AU6 class, Precision - 0.834, Recall - 0.667, F1 - 0.741
-AU7 class, Precision - 0.682, Recall - 0.795, F1 - 0.734
+AU7 class, Precision - 0.685, Recall - 0.792, F1 - 0.735
-AU10 class, Precision - 0.501, Recall - 0.786, F1 - 0.612
+AU10 class, Precision - 0.520, Recall - 0.737, F1 - 0.610
-AU12 class, Precision - 0.920, Recall - 0.659, F1 - 0.768
+AU12 class, Precision - 0.919, Recall - 0.654, F1 - 0.764
-AU15 class, Precision - 0.329, Recall - 0.724, F1 - 0.453
+AU15 class, Precision - 0.362, Recall - 0.634, F1 - 0.461
-AU17 class, Precision - 0.238, Recall - 0.313, F1 - 0.270
+AU17 class, Precision - 0.230, Recall - 0.279, F1 - 0.252
-AU25 class, Precision - 0.197, Recall - 0.900, F1 - 0.324
+AU25 class, Precision - 0.205, Recall - 0.871, F1 - 0.332
-AU26 class, Precision - 0.120, Recall - 0.986, F1 - 0.213
+AU26 class, Precision - 0.122, Recall - 0.974, F1 - 0.217

matlab_runners/Action Unit Experiments/results/SEMAINE_valid_res.txt

@@ -1,6 +1,6 @@
-AU2 class, Precision - 0.368, Recall - 0.743, F1 - 0.492
+AU2 class, Precision - 0.369, Recall - 0.744, F1 - 0.493
-AU12 class, Precision - 0.427, Recall - 0.781, F1 - 0.553
+AU12 class, Precision - 0.427, Recall - 0.782, F1 - 0.553
-AU17 class, Precision - 0.125, Recall - 0.813, F1 - 0.217
+AU17 class, Precision - 0.126, Recall - 0.815, F1 - 0.219
-AU25 class, Precision - 0.345, Recall - 0.576, F1 - 0.431
+AU25 class, Precision - 0.344, Recall - 0.574, F1 - 0.430
-AU28 class, Precision - 0.491, Recall - 0.480, F1 - 0.486
+AU28 class, Precision - 0.486, Recall - 0.475, F1 - 0.481
 AU45 class, Precision - 0.289, Recall - 0.621, F1 - 0.394

matlab_runners/Feature Point Experiments/results/landmark_detections.txt

@@ -1,9 +1,9 @@
 Type, mean, median
-err clnf: 0.054324, 0.040026
+err clnf: 0.054348, 0.040034
-err clnf wild: 0.053219, 0.038420
+err clnf wild: 0.053107, 0.038525
-err svr: 0.070549, 0.050548
+err svr: 0.070552, 0.050640
-err svr wild: 0.067546, 0.048649
+err svr wild: 0.067452, 0.048706
-err clnf no out: 0.043100, 0.029728
+err clnf no out: 0.043081, 0.029782
-err clnf wild no out: 0.041522, 0.027565
+err clnf wild no out: 0.041386, 0.027463
-err svr no out: 0.058712, 0.038792
+err svr no out: 0.058766, 0.038836
-err svr wild no out: 0.054168, 0.036232
+err svr wild no out: 0.054020, 0.036252

matlab_runners/Feature Point Experiments/run_yt_dataset.m

@@ -14,7 +14,7 @@ end
     
 if(exist([getenv('USERPROFILE') '/Dropbox/AAM/test data/'], 'file'))
     database_root = [getenv('USERPROFILE') '/Dropbox/AAM/test data/'];    
-elseif(exist([getenv('USERPROFILE') 'D:/Dropbox/Dropbox/AAM/test data/'], 'file'))
+elseif(exist('D:/Dropbox/Dropbox/AAM/test data/', 'file'))
     database_root = 'D:/Dropbox/Dropbox/AAM/test data/';
 else
     database_root = '/multicomp/datasets/';

matlab_runners/Gaze Experiments/mpii_1500_errs.txt

@@ -1,2 +1,2 @@
 Mean error, median error
-9.468, 8.773
+9.469, 8.773

matlab_runners/Head Pose Experiments/results/Pose_OF.txt

@@ -1,4 +1,4 @@
 Dataset and model,        pitch,  yaw,  roll,  mean,  median
-biwi error:  7.957,   5.583, 4.403,  5.981,  2.624
+biwi error:  7.955,   5.583, 4.402,  5.980,  2.624
 bu error:    2.762,   4.103, 2.568,  3.145,  2.118
 ict error:   3.620,   3.608, 3.626,  3.618,  2.028

matlab_runners/Readme.txt

@@ -1,6 +1,6 @@
 --------------------------------------- OpenFace Matlab runners -----------------------------------------------------------------------------	
 
-These are provided for recreation of some of the experiments described in the publications and to demonstrate the command line interface by calling the C++ executables from matlab. This is intended to test the Windows version of the code.
+These are provided for recreation of some of the experiments described in the publications and to demonstrate the command line interface by calling the C++ executables from Matlab.
 
 ======================== Demos ==================================