How to Compute mAP50 After Converting YOLOv11 to FP16 TensorRT Engine

AI & Data Science Deep Learning (Training & Inference) TensorRT
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Setup:
• Hardware Platform (Jetson / GPU): Jetson Nano
• DeepStream Version: 6.0.1
Other default install with Jeckpack

I am running YOLOv11 successfully with DeepStream 6.0.1 on a Jetson Nano. However, after converting my YOLOv11 model to an FP16 .engine file using TensorRT, I need to compute the mAP50 (Mean Average Precision at IoU=0.5) to evaluate its performance.

Can you suggest how to do it?

Any guidance or references would be greatly appreciated!

1 Like
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Hi @106200228 ,
I recommend you to please reach out to Deepstream Forum for better assistance on the topic.

Thanks