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Nuzhny007 avatar Nuzhny007 commented on May 24, 2024

Really, no.
This project used a darknet-style config and it need to manually support for all versions of new YOLOs.
I think that a simplier way - export a pt model to onnx, converting it to TensorRT and using.
In my project I'm going to this way.

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tugbakara avatar tugbakara commented on May 24, 2024

Actually I am a bit away from this, looking around easy to use things, so in that case could you explain or give a link for the part that you said " - export a pt model to onnx, converting it to TensorRT" I need to learn how can I do that ?
Thanks!

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Nuzhny007 avatar Nuzhny007 commented on May 24, 2024

You can try this complete example: https://github.com/Linaom1214/TensorRT-For-YOLO-Series/tree/main

I'm using the same approach in my project: https://github.com/Smorodov/Multitarget-tracker/blob/master/src/Detector/tensorrt_yolo/YoloONNX.cpp
But it is the part of a big project.

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