Face alignment v1.5.0

Add support for newer detection models
Bring the repo to the 21st century, updating old dep and adding support for newer pytorch versions
Drop support for older python and pytorch versions
Drop support for the conda package
Add torch.compile support
Add batching support for the face aligment model

Face alignment v1.4.1

Improved the speed of the face detection module, thanks @SCZwangxiao !
Improved the speed up of the directory wide localization by minimising the I/O wait.

Face alignment v1.4.0

Added support for back camere blaze model
Exposed the dtype for fp16 support
Small fixes and cleanup

Face alignment v1.3.6

Small fixes and package updates

Face alignment v1.3.4

[Add] Added option to return the bounding boxes too (#270)
[Change] Change the print to warning (#265)
[Change] Minor cleanup
[Fix] Negative stride error

Face alignment v1.3.2

Changelog:

• Fix critical issue on pytorch 1.5.x and 1.6.0 (#241)

Face alignment v1.3.1

Changelog:

• Increased speed up subsequent runs significantly
• Fixed device mismatch issue on SFD detector

Face alignment v1.3.0

Changelog:

• Increased the model speed between 1.3-2x, especially for 3D landmarks
• Improved the initialization time
• Fixed issues with RGB vs BGR and batched vs not batched, added unit tests for it
• Fixed unit test
• Code refactoring
• Fix transpose issue in blazeface detector (thank to @Serega6678 )

Face alignment v1.2.0

Changelog:

• Improve file structure
• Remove redundant model handling code. Switch all model handling to torch.hub or torch.hub derived functions
• Drop support for python 2.7 and for older version of pytorch. See https://www.python.org/doc/sunset-python-2/
• Fix issues with certain blazeface components re-downloading everytime (#234)
• Fix issue when no face was detected that resulted in a hard crahs (#210, #226, #229)
• Fix invalid docker image (#213)
• Fix travis build issue that tested the code against an outdated pytorch 1.1.0

Face alignment

Bug fixes