face-alignment

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.

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

Small fixes and package updates

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

Changelog:

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

Changelog:

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

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 )

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• Fix travis build issue that tested the code against an outdated pytorch 1.1.0

Bug fixes

Changelog:

• Minor fixes
• Added BlazeFace detector as an option (thanks @imadtoubal)

Changelog:

Added support for pytorch 1.0.0
Minor cleanup
Improved remote models handling

2D and 3D face alignment code in PyTorch that implements the ["How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)", Adrian Bulat and Georgios Tzimiropoulos, ICCV 2017] paper.

Changelog:

• Added support for pytorch 0.4.x
• Improved overall speed
• Rewrited the face detection part and made it modular (this includes the addition of SFD)
• Added SFD as the default face detector
• Added conda and pypi releases
• Other bug fixes and improvements

2D and 3D face alignment code in PyTorch that implements the ["How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)", Adrian Bulat and Georgios Tzimiropoulos, ICCV 2017] paper.

2D and 3D face alignment code in PyTorch that implements the ["How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)", Adrian Bulat and Georgios Tzimiropoulos, ICCV 2017] paper.