Real-time Object Detection on Jetson Nano

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Hi everyone. I need help in real-time object detection on Jetson Nano. I trained a yolov3 model a while back and it is pretty accurate but gives a very low FPS of 0.223 on nano. I tried converting the model to tflite but that gives an even lower fps of 0.07. Please tell me how I can achieve real-time inference without any loss in accuracy?? Thanks in advance.

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