DEST v0.8

We are happy to announce v0.8 of DEST bringing the following improvements

• New tracker files with increased accuracy while reducing disk space.
• Tracker evaluation now prints more statistics including a error histogram.
• Removed obsolete training parameters.

Pre-trained Trackers

dest_tracker_VJ_ibug.bin

• Trained on afw, helen, ibug, lfpw face data sets containing over 3200 images (doubled through mirroring).
• Annotated by 68 landmarks.
• Initial rectangles provided by OpenCV Viola Jones using dest::face::FaceDetector using haarcascade_frontalface_alt2.xml

Training

• Trained on: afw, helen, ibug, lfpw
• Rectangles: OpenCV VJ classifier_frontalface_alt2.xml

dest_train --load-mirrored --load-max-size 640 --rectangles train\rectangles2.csv 
--create-num-shapes 60 --train-num-pixels 600 --train-num-splits 40 --train-max-depth 5 
--train-learn 0.15 train

Loading ibug database. Found 3283 candidate entries.
Successfully loaded 5836 entries from database.
Creating training samples.
Number shapes per image       60
Linear weight range           [0.65,0.8]
Include mean shape            true
Starting to fit tracker on 355996 samples.
Number of cascades            10
Number of trees               500
Maximum tree depth            5
Random pixel locations        600
Random split tests            40
Random pixel expansion        0.05
Exponential lambda            0.1
Learning rate                 0.15
Building cascade 1
Building cascade 2
Building cascade 3
Building cascade 4
Building cascade 5
Building cascade 6
Building cascade 7
Building cascade 8
Building cascade 9
Building cascade 10
Saving tracker to dest.bin

Benchmark

dest_evaluate.exe -t dest.bin --load-max-size 640 
-r helen\testset\rectangles2.csv helen\testset

Loading ibug database. Found 330 candidate entries.
Successfully loaded 305 entries from database.
Average normalized error:               0.0370472
Stddev normalized error:                0.0366681
Median normalized error:                0.0259357
Worst normalized error:                 0.540997
Error histogram (bin size 0.05):
0.025/78.0% |**********************************************
0.075/16.2% |*********
0.125/4.0%  |**
0.175/1.1%  |
0.225/0.4%  |
0.275/0.1%  |
0.325/0.1%  |
0.375/0.1%  |
0.425/0.0%  |
0.475/0.0%  |
0.525/0.0%  |
0.575/0.0%  |
0.625/0.0%  |
0.675/0.0%  |
0.725/0.0%  |
0.775/0.0%  |
0.825/0.0%  |
0.875/0.0%  |
0.925/0.0%  |
0.975/0.0%  |
 >1.0/0.0%  |