After working with the TensortRT optimized version of SSD and getting up to 160 FPS with my Xavier, I was wondering if there was a model, less faster but which could be more accurate. Let’s take an example: If I want my script to detect objets like boats or person , and I want this algorithm to be very accurate and to run at 25 -30 FPS ( speed of any commercial webcam for example), what should I do to achieve it ? I was thinking about training my own model but with which framework ? Already used Darknet and TF to do training but for the moment, even with TensortRT optimized YOLO version, my Xavier cannot do more than 22 FPS with YOlov3-TRT. So should I train with tensorflow or do you know any existing algorithm which could fill my needs ( ~30 FPS with good mAP) ?
Thanks in advance for taking time reading this, have a nice day :)