Open-Source C++ Course Teaches YOLOv8 Deployment with TensorRT

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A developer has released an open-source, hands-on course titled 'Learn TensorRT' designed for engineers moving PyTorch models to C++ deployment. The course uses YOLOv8 as a baseline and covers correctness, optimization, and pipeline behavior using TensorRT 10.14, CUDA 13.0, and C++17. It is structured as a series of lessons with build instructions and is intended for Ubuntu systems with an NVIDIA GPU. The MIT-licensed project includes multilingual documentation and invites feedback on its reproducibility.

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