Pugh-torch

Added
* pytorch-lightning callbacks (TensorBoardAddSS, TensorBoardAddClassification)
for add_ss and add_rgb for segmentation and classification tasks, respectively.
* Initial form of a project template to get ideas going quickly.
* ADE20K dataset
* various optimizers and getters
* various activation functions and getters
* LoadStateDictMixin that adds verbosity to model loading and has more laxed
`strict` shape requirements.
* pretrained resnet models (from torchvision) that utilize LoadStateDictMixin
* Label smoothing losses

Added
* Aliased `ResizeShortest` to `ShortestMaxSize` to be consistent with `albumentations.augmentations.transforms.LongestMaxSize`

Fixed
* Add missing interpolation attribute in ResizeShortest transform.
* Fixed `ResizeShortest` producing erroenous results when both sides are the same length.

Added
+ Text label adding to TensorBoard Images
+ ResizeShortest augmentation transform
+ Unit Testing utilities
+ basic Datasets API
+ A bunch of useful dependencies added.

Added
* Additional extra_requires in preparation for docker release.

Added
* Initial Release