AugLy v0.2.1

Changes

Audio:

• New augmentations: loop
• Efficiency improvements: made high_pass_filter & low_pass_filter ~97% faster by using torchaudio

Image:

• New augmentations: skew
• Added bbox computation helper spatial_bbox_helper to make it easier to add new image augmentations & automatically compute the bounding box transformations (e.g. see how we used this for skew here)
• Efficiency improvements: made resize ~35% faster by defaulting to bilinear interpolation

Text:

• Allow multi-word typo replacement
• Efficiency improvements: made contractions, replace_similar_chars, replace_similar_unicode_chars, replace_upside_down ~40-60% faster using algorithmic improvements

Video:

• Efficiency improvements: made 30 of the video augmentations faster using vidgear (a new dependency we added in this release) to execute ffmpeg commands using higher compression rates (e.g. hflip 75% faster, loop 85% faster, remove_audio 96% faster, pixelization 71% faster)

Overall:

• Modified internal imports to be Python 3.6-compatible
• Added error messages to unit tests for easier debugging
• If you want to see a full report benchmarking the runtimes of all AugLy augmentations versus other libraries, keep an eye out for the AugLy paper, which will be up on Arxiv in January!