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Created with Raphaël 2.2.024Jan2322211716151423Oct26Sep14131220Jul191311106543228Jun2215118765430May29282427Apr251411109527Mar2619161413121197652128Feb2723212019161413116516Jan6Dec428Nov27242322211615620Oct191716139229Sep2826256531Aug2522211811427Jul2521191817131211765422Jun2120149876131May292216151210431MarAdded BATL DB config returning RGB-NIR-D data, moved all batl db configs to one folderadded bob.db.casiasurf and bob.db.maskattack in test in the conda recipeadded bob.db.casiasurf and bob.db.maskattack in test requirementsAdded a unit test for BW-NIR-D preprocessor instanceAdded an entry point for video_face_crop_align_bw_ir_d_channels_3x128x128 preprocessor instance[database] added test for casiasurfAdded a congig for the preproc, extracting BW-NIR-D 3x128x128 face from BATL DBAdded a congig for the preproc, extracting BW-NIR-D 3x128x128 face from BATL DBMerge branch 'celeba_preproc' into 'master'Updated the doc on AE pre-training, pointing to bob.learn.pytorch[database] used bob.extension.rc for DB directory[database] used bob.extension.rc for DB directory, modified the config name[database] added CASIA-SURF as appropriate in __init__.pyAdded the step 1 in the doc on MC autoencoders for face PAD[database] fixed high-level interface for CASIA-SURFOptimized reshape_flat_patches function in patch_utilsAdded unit tests for quality checking preprocessor and patch reshape functionRemoved duplicated functions from quality_assessment_config, now imported from quality_assessment_config_128Added the configuration file to assess teh quality for 128x128 imagesAdded the config for Preprocessor, detecting faces and checking qualityAdded an entry point for CelebA preprocessingAdded the patch reshaping and normalization utilsMerge branch 'patch' into 'master'Add image and video patch preprocessorsFix loading of replaymobileMerge branch 'preproc_update' into 'master'experimenting with the database ...Fixed the Sphinx warning in VideoFaceCropAlignBlockPatchTesting opencv hypothesisChanged the meta.yml, relocated opencvChanged to opencv in reqUpdated conda receipeAdded unit tests for VideoFaceCropAlignBlockPatchUpdated the requirements file[database] casiasurf: added the necessary parameters in the CasiaPadFile init, to be compliant with super class(es)fixed casiasurf high-level implementation, put it in __init__ and as an entry point[config] fixed the protocol in casiasurf.pyAdded MC VideoFaceCropAlignBlockPatch and BlockPatch preprocessorsMerge branch 'batl_hldi_update' into 'master'Added new skin, non-skin annotations for the train and dev sets of the batl DB
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