triple-mu/YOLOv8-TensorRT
YOLOv8 object detection inference using TensorRT for GPU acceleration on NVIDIA hardware.

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This repository provides C++ and Python implementations for running YOLOv8 models with TensorRT optimization. It converts ONNX-exported YOLOv8 models to TensorRT engines for faster inference, targeting NVIDIA GPUs and embedded devices like Jetson. The project supports detection, instance segmentation, and pose estimation variants of YOLOv8, with the primary focus on accelerating model inference throughput.