MTCNN 1st pnet simplification to ensure single graph input
* 1st pnet simplification to ensure single graph input
* address comment from Dmitry M regarding unused variable
G-API MTCNN demo hotfix to align overall pipeline accuracy with the reference Python code output.
* MTCNN G-API demo aligned with Python from OMZ
* clean up
* more comments from Maxim are addressed.
* address comment from Dmitry
G-API MTCNN sample
* add face detection demo
* clean up
* enable back accumulate
* additional input
* meta args workaround
* additional arg
* add init
* roll back
* fix shadowing
* roll back
* clean up and PNet copy from debug branch which now works
* try nets operator
* more clean up
* more clean up
* add 6 layers pyramid experimental code
* final clean up and ready for PR
* original image resize
* Remove Pnet declarations. Generic infer is used now.
* scales and sizes calculation added
* fix assert, and add ceil to size calculation
* try doubles for scales
* Address comments from Dmitry.
* use half scale option
* fix half scale
* clean up debug outputs
* try to get input image width and height
* clean up
* trailing spaces and review from Maxim
* more comments from Maxim are addressed
* try to fix warnings
* try to fix warnings and address more comments from Dmitry
* crop fix and clean up
* more warnings fixes
* more warnings fixes
* more comments from Maxim are addressed
* even more consts
* copy_n for regressions
* address more comments from Dmitry
* more comments from Maxim