RNN, RNNPool, DROCC, and other architectures and usecases

Rnnpool facedetection (#215)

* add m4 model

* add rnnpool sparsity

* revert to previous+remove basenet

* scut training and testing

* augmentations and data file changes

* update readme and eval files

* evaluation code

* fix bugs

* remove lists

* data prep script

* merge face detection and m4

* eval arch options

* finetune

* readme changes

* readme update

* readme update

* newlines and slashes

* add dataset directory as environment variable

* rpool face c detect bug

* support for multigpu

* multigpu fixes

* remove subset option

* readme edit

* mkdir

* readme changes

* fix warning

* rnnpool device

* add arch

* trace generation

* Update eval.py

* Update prior_box.py

* Update multibox_loss.py

* Update train.py

* Update scut_test.py

* eval bug + newlines

* Remove stray newline

Co-authored-by: Harsha Vardhan Simhadri <harsha-simhadri@users.noreply.github.com>
Co-authored-by: ShikharJ <jaiswalshikhar87@gmail.com>

First release

This is the first release of the code with Bonsai and ProtoNN. Tested with Linux/Intel(R) MKL. Also tested on Windows, but in limited settings.