I modified the detectnet protocol by reducing grid space from 16 to 8, In order to detect small objects in a frame. the DIGITS inference results is OK by detecting 21 small bboxes(e.g. 9x7, 7x4, 10x5, 7x10 etc.), so I deployed the caffeModel to my tx1 to execute on-line inference. However the GIE engine could not re-produce the same bboxes as was seen on DIGITs. Instead, it pedicted many big bboxes(e.g. 100x125)
Could you tell me what could be the reason?