Hi All,I’m new to DeepLearning and now I have one task to choose a Deeplearning model running on TX2 which could conduct real-time detection.
I had tested the yolo v2 based on darknet and the result was only 5FPS, and tiny yolo had better performance with 15FPS, but presently I need one model whose detection speed could reach as much as 25FPS.
I have been told that mobilenet based on tensorflow had real-time detection speed on TX2.Does anyone here has worked with in this field? And what’s your model and platform? Someone referred the mobilenet, shufflenet resnet and tensorflow caffe to me. Have you ever tried them and happened to know more about them? Or do you have better advice and recommondations?
As for me, speed is the prior thing.