Face-alignment

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* Fix travis build issue that tested the code against an outdated pytorch 1.1.0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