• Added High Level Database Interface (HLDI) for MIFS database
  • Annotations are added for MIFS database
  • Added a VideoSparseCoding preprocessor
  • Updated the documentation on anomaly detection-based PAD using Aggregated Db
  • Local face detection option was added to VideoFaceCrop class, using dlib and mtcnn
  • Unit tests for the classes used in IQM-GMM pad algorithm
  • Added landmark detection utils
  • Algorithms/classifiers are adapted to other non-face modalities
  • New protocol for Aggregated Database: grandtest-train-eval
  • New protocol for Aggregated Database: grandtest-mobio
  • Frame Selector is now acceptable in HLDIs of all databases
  • Removed bootstrap-buildout.py functionality
  • Added A base PAD file class
  • New protocol for Aggregated Database: grandtest-train-eval-<num_train_samples>
  • bob.extension.rc used in HLDIs
  • Migrated to conda-based CI
  • ALL algorithms are moved to bob.pad.base package
  • Fixed algorithms documentation links, pointing to bob.pad.base now.
  • The documentation of the package now linked to joint documentation properly.
  • Refactoring: duplicated database configs are removed
  • Refactoring: removed VideoQualityMeasure, replaced with Wrapper class
  • Refactoring: removed VideoLBPHistogram, replaced with Wrapper class
  • Refactoring: removed unused VideoDataLoader
  • Refactoring: created FaceCropAlign, replaces ImageFaceCrop + VideFaceCrop using Wrapper
  • Added Spatially Enhanced Histogram option to LBPHistogram class
  • Changes to the FrameDifference preprocessor: Estimate the bounding box from annotations if not available. This is usually estimated from eye annotations. Remove the unused check_face_size flag. Fixed the conda recipe !63