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DEST v0.7
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@cheind cheind released this 24 Jan 08:45
· 45 commits to master since this release
v0.7
64ed1e5

We are happy to announce v0.7 of DEST bringing the following improvements

  • switched from GPL to BSD license.
  • re-trained tracker files with increased accuracy.
  • training now supports nested directories.
  • importing databases now searches for different image types.

Pre-trained Trackers

dest_tracker_VJ_HELEN.bin
Trained on the ibug annotated HELEN face data set containing 2000 images (doubled through mirroring) annotated with 68 landmarks. Initial rectangles provided by OpenCV Viola Jones using dest::face::FaceDetector.

Training configuration

dest_train --load-mirrored --load-max-size 640 --rectangles helen\trainset\rectangles.csv --create-num-shapes 40 --train-num-pixels 600 --train-num-splits 40 --train-max-depth 6 helen\trainset

Loading ibug database. Found 2000 candidate entries.
Successfully loaded 4000 entries from database.
Creating training samples.
Number shapes per image                 40
Number of transforms per shape          1
Random rotate angle range               [0,0]
Random scale factor range               [0.85,1.15]
Random translate x range                [-10,-10]
Random translate y range                [-10,10]
Use linear combination                  true
Starting to fit tracker on 158400 samples.
Number of cascades            10
Number of trees               500
Maximum tree depth            6
Random pixel locations        600
Random split tests            40
Random pixel expansion        0.05
Exponential lambda            0.1
Learning rate                 0.08

Performance on HELEN test data set

dest_evaluate.exe -t dest.bin -r helen\testset\rectangles.csv helen\testset

Loading ibug database. Found 330 candidate entries.
Successfully loaded 330 entries from database.
Average normalized error: 0.0411167
Assets 3
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