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Created with Raphaël 2.2.04Jul3228Jun2215118765430May29282427Apr251411109527Mar2619161413121197652128Feb2723212019161413116516Jan6Dec428Nov27242322211615620Oct191716139229Sep2826256531Aug2522211811427Jul2521191817131211765422Jun2120149876131May292216151210431Mar[conda] unpinned the version of bob.rppg.base[conda] pinned the version of bob.rppg.base[preprocessor, extractor, test] changed classe names refferring to Li ICPR 2016 algorithmAdded data_config.json directly in the package configs[test] added unit tests for pulse-based PAD preprocessors and extractors[preprocessor] minor edits[extractor] corrected comment in PPGSecure[extractor] corrected 2-3 (minor ?) bugs on the feature computationHldi adapted for offline retrainingRemoved conversion low_level-high_level db[test] added test for pulse-based extractor[test] added unit tests for preprocessorsresolved follow-up discussion related to MR 53fixed merge conflicts[setup] merged setup.py from master[preprocessor] added FaceCropAlign preprocessor for consistency[setup] removed batl and maskattack db entry points, and custom grid config[config] fixed database imports[skip ci] [config] removed custom grid config[conda] added bob.rppg.base as run and test requirements[req] removed sphinx from the requirements[doc] added bob.ip.skincolorfilter in extra-intersphinx[conda] tagged numpy version to 1.11[preprocessor, extractor] fixed docstrings (again)[doc] fixed indentation in bob/pad/face/preprocessor/PPGSecure.py docstring[database] remove batl and 3dmad in __init__ file[extractor] fixed extractors for pulse-based PAD[conda] added bob.rppg.base[preprocessor] fixed stuff (mainly docstrings) in pulse preprocessorsBATL high level db interface for docker training scenario with ground-truth csvAdded protocols for Leave One Attack Out in aggredated HLDIAdded protocols for 10 folds with Idiap data appended to each foldAdded protocols for cross validation tests in GOV dataClean upMerge branch 'utils' into 'master'Fix import nameImprove error handling in frame-diffAdded protocols for using only bonafide data from GOV set in trainingFix in cross db testingFixes and configurations for experiments