cyrusbehr/YOLOv8-TensorRT-CPP
YOLOv8 TensorRT C++ Implementation
This project helps operations engineers and robotics developers integrate advanced computer vision capabilities into their C++ applications that run on NVIDIA GPUs. It takes a pre-trained YOLOv8 object detection, segmentation, or pose estimation model and converts it into an optimized format for high-speed analysis. The output provides precise bounding boxes, segmentation masks, or keypoint detections from images or video feeds, enabling real-time decision-making.
718 stars. No commits in the last 6 months.
Use this if you need to deploy fast, accurate, real-time object detection, semantic segmentation, or body pose estimation in a C++ application running on an NVIDIA GPU.
Not ideal if you are developing in Python or do not have access to an NVIDIA GPU, as it is specifically designed for C++ and TensorRT.
Stars
718
Forks
83
Language
C++
License
MIT
Category
Last pushed
Feb 09, 2025
Commits (30d)
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