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bob
bob.pad.face
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4d4bcdfc53bf1245a0a8190a481426a8e3be33cf
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add-hqwmca
develop
protected
docker_csv_hldi
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resize
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transform_annotations
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Mar
[preprocessor] removed verbosity level as parameter to FaceCropAlign
[preprocessor] removed setting verbosity in the library directly
[ci] Update gitlab-ci file (depend on bob/bob.devtools) [ci skip]
[database] small fix in CASIA-SURF
[preprocessor] added a sanity check to FaceCropAlign, and also a warning when the face is not detected
Merge branch 'batl_LOO_protocols' into 'master'
Commenting out private db import
Added bob.db.batl
Added unit tests for protocols in BATL HLDI
unit tests, WIP
More docs
Added LOO protocols in BATL DB
Merge branch 'casiasurf' into 'master'
[database] removed unnecessary stuff while loading data
Merge branch 'multi_channel_preproc' into 'master'
Completed the doc on MC AE fine-tuning
added casiasurf as an entry point
complete config for casiasurf
Added docs on MC data extraction from WMCA for AE fine-tuning
Added BATL DB config returning RGB-NIR-D data, moved all batl db configs to one folder
added bob.db.casiasurf and bob.db.maskattack in test in the conda recipe
added bob.db.casiasurf and bob.db.maskattack in test requirements
Added a unit test for BW-NIR-D preprocessor instance
Added an entry point for video_face_crop_align_bw_ir_d_channels_3x128x128 preprocessor instance
[database] added test for casiasurf
Added a congig for the preproc, extracting BW-NIR-D 3x128x128 face from BATL DB
Added a congig for the preproc, extracting BW-NIR-D 3x128x128 face from BATL DB
Merge 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__.py
Added the step 1 in the doc on MC autoencoders for face PAD
[database] fixed high-level interface for CASIA-SURF
Optimized reshape_flat_patches function in patch_utils
Added unit tests for quality checking preprocessor and patch reshape function
Removed duplicated functions from quality_assessment_config, now imported from quality_assessment_config_128
Added the configuration file to assess teh quality for 128x128 images
Added the config for Preprocessor, detecting faces and checking quality
Added an entry point for CelebA preprocessing
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