v0.2.1

Added

• Google Colab demo notebook
• Google Colab demo notebook link to README
• Merged config yaml files for OmegaConf to /conf/merged/ directory

Changed

• Do not fail the run if facetorch version cannot be retrieved (likely due to local installation)

v0.2.0

Added

• Python 3.8 support
• platform to Docker compose file for Apple Silicon M chips
• Docker compose service for locking dependencies

v0.1.5

0.1.5

Released on January 22, 2023.

Added

• number of parameters for each model in README

Changed

• facetorch installation in dev Dockerfiles to not install dependencies from PyPI

Removed

• unused port bindings from dev Docker compose file

v0.1.4

Added

• predictor for face verification and face recognition - AdaFace by Kim et al.

v0.1.3

Added

• Torchvision based landmark drawer as a utilizer

Changed

• drawing of 3D landmarks is 21x faster: 152 ms -> 7 ms

Removed

• Matplotlib based landmark drawer utilizer
• Matplotlib dependency

v0.1.2

Merge pull request #23 from tomas-gajarsky/feature/expand_box_ratio

Feature/expand box ratio

v0.1.1

Added

• predictor for face verification task - MagFace+UNPG by Jung et al.

v0.1.0

Added

• badges for models with SOTA comparison using papers with code
• predictor for face alignment task - SynergyNet
• utilizers for face alignment (compute 3d landmarks, mesh and pose) and drawing landmarks

Changed

• default logging level to INFO
• drawing boxes and saving image abstracted to utilizer objects

v0.0.8

Merge pull request #17 from tomas-gajarsky/feature/conda

Feature/conda