emptysoal/YOLOv5-TensorRT-lib-Python
The code of YOLOv5 inferencing with TensorRT C++ api is packaged into a dynamic link library , then called through Python.
This project helps computer vision engineers and AI developers quickly deploy YOLOv5 object detection models. It takes pre-trained YOLOv5 models and converts them into a highly optimized format (.plan file). This enables very fast object detection from images, making it suitable for applications requiring high-speed processing, such as real-time video analysis or embedded systems.
Use this if you need to perform extremely fast object detection using YOLOv5 models in a production environment or on resource-constrained devices, while still leveraging Python for easy integration with other systems.
Not ideal if you are primarily experimenting with model training or fine-tuning, as this tool focuses on deployment optimization rather than model development.
Stars
15
Forks
2
Language
Cuda
License
MIT
Category
Last pushed
Oct 23, 2025
Commits (30d)
0
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