Demoing LXMERT with raw images by incorporating the FRCNN model for roi-pooled extraction and bounding-box predction on the GQA answer set.
This is a follow up PR from initially incorporating LXMERT. This PR includes the Faster-RCNN code to convert raw-images into usable roi-pooled features downstream in lxmert or any other suitable vision model. 