DeepSort and TensorRT

Hello, I’m new with Deepsort and I’m trying to run it on a Jetson Nano

The board has Jetpack 4.4.1 with Pytorch V1.6. I’m able to convert yolo to trt files but I don’t know how to use them withe Deepsort. I tried this repo: GitHub - Stephenfang51/tracklite: Using Tensort to speed up yolov3 with deepsort for MOT but it doesn’t run in my enviroment. Any hint of how should I proceed would be great.



Do you mean the DeepSort of the below GitHub?

If yes, the source should be runnable on the Jetson Nano directly.
Have you tried it?


Yes I found a repo that use that one and it actually runs but the FPS is really bad arround 1 FPS. I was wondering if it’s possible to convert tiny-yolo to TRT file then deserealize that file and use it with deepsort for tracking. Currently I can’t find a good tutorial that explain how to merge both things

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Sorry that we don’t have an example like that.
But if the model can export into ONNX, you can inference it with TensorRT.



Thanks for your help, I did that and currently I was able to achieve good results.

Hello aldiaz,
I’m trying to do the same thing.
Did you have any problems with pycuda module installation there?

Hi @aldiaz
Can you please share github repo for the same
Thanks in advance