Linaom1214/TensorRT-For-YOLO-Series
A TensorRT inference toolkit providing Python and C++ implementations for optimizing and serving various YOLO object detection models.
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This repository provides tools to export YOLO models to ONNX format and convert them to TensorRT engine files for optimized inference. It supports YOLOv3 through YOLOv12 and includes an end-to-end mode with NMS (Non-Maximum Suppression) plugin support for production deployment. The project offers both Python and C++ inference implementations, with optional FP32/FP16/INT8 quantization support.
Frequently asked
- What is Linaom1214/TensorRT-For-YOLO-Series?
- A TensorRT inference toolkit providing Python and C++ implementations for optimizing and serving various YOLO object detection models.
- Is TensorRT-For-YOLO-Series open source?
- Yes — Linaom1214/TensorRT-For-YOLO-Series is an open-source project tracked on heatdrop.
- What language is TensorRT-For-YOLO-Series written in?
- Linaom1214/TensorRT-For-YOLO-Series is primarily written in Python.
- How popular is TensorRT-For-YOLO-Series?
- Linaom1214/TensorRT-For-YOLO-Series has 1.2k stars on GitHub.
- Where can I find TensorRT-For-YOLO-Series?
- Linaom1214/TensorRT-For-YOLO-Series is on GitHub at https://github.com/Linaom1214/TensorRT-For-YOLO-Series.