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Created with Raphaël 2.2.028Jan25242322211716151423Oct26Sep14131220Jul191311106543228Jun2215118765430May29282427Apr251411109527Mar2619161413121197652128Feb2723212019161413116516Jan6Dec428Nov27242322211615620Oct191716139229Sep2826256531Aug2522211811427Jul2521191817131211765422Jun2120149876131May292216151210431Mar[database] removed unnecessary stuff while loading dataMerge branch 'multi_channel_preproc' into 'master'Completed the doc on MC AE fine-tuningadded casiasurf as an entry pointcomplete config for casiasurfAdded docs on MC data extraction from WMCA for AE fine-tuningAdded 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