Running the objectDetector_SSD on deepstream, I was able to achieve 20fps on fp16 mode whcih is less than the 39 fps promised on official docs. I do use the recommended power supply, boosted the clocks and running in maximum performance mode. Although I was able to get around 37 fps follwoing the official bench marking instructions.
I converted the weights from http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v2_coco_2018_03_29.tar.gz.
Is there anyway to get 39fps on SSD-Mobilenetv2 using deepstream
P.S: However I noticed that the weights that I converted are 60mb which is 40mb higher than ones found in the official bench marking instructions. The weights over there were downloaded from https://nvidia.box.com/shared/static/8oqvmd79llr6lq1fr43s4fu1ph37v8nt.gz.I was not able to get the deepstream-app working in the latter.