cyrusbehr/YOLOv8-TensorRT-CPP
A C++ implementation of YOLOv8 object detection, semantic segmentation, and pose estimation using NVIDIA TensorRT for GPU inference.
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This project provides a native C++ implementation of the YOLOv8 deep learning model using the TensorRT inference engine for optimized GPU inference. It supports object detection, semantic segmentation, and body pose estimation tasks. The implementation leverages tensorrt-cpp-api to handle the underlying TensorRT API calls.
Frequently asked
- What is cyrusbehr/YOLOv8-TensorRT-CPP?
- A C++ implementation of YOLOv8 object detection, semantic segmentation, and pose estimation using NVIDIA TensorRT for GPU inference.
- Is YOLOv8-TensorRT-CPP open source?
- Yes — cyrusbehr/YOLOv8-TensorRT-CPP is open source, released under the MIT license.
- What language is YOLOv8-TensorRT-CPP written in?
- cyrusbehr/YOLOv8-TensorRT-CPP is primarily written in C++.
- How popular is YOLOv8-TensorRT-CPP?
- cyrusbehr/YOLOv8-TensorRT-CPP has 733 stars on GitHub.
- Where can I find YOLOv8-TensorRT-CPP?
- cyrusbehr/YOLOv8-TensorRT-CPP is on GitHub at https://github.com/cyrusbehr/YOLOv8-TensorRT-CPP.