marcoslucianops/DeepStream-Yolo
NVIDIA DeepStream SDK integration for deploying and running YOLO object detection models with TensorRT engine optimization.
Not currently ranked — collecting fresh signals.
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This repository provides configuration files and tools to run various YOLO object detection models (YOLOv5 through YOLO13, YOLO-NAS, RT-DETR, RTMDet, etc.) on NVIDIA DeepStream SDK. It handles ONNX model export, TensorRT engine generation, and GPU-accelerated inference with post-processing. The project supports INT8 calibration for quantization, dynamic batch sizing, and custom model parsers for streamlined deployment on NVIDIA hardware.
Frequently asked
- What is marcoslucianops/DeepStream-Yolo?
- NVIDIA DeepStream SDK integration for deploying and running YOLO object detection models with TensorRT engine optimization.
- Is DeepStream-Yolo open source?
- Yes — marcoslucianops/DeepStream-Yolo is open source, released under the MIT license.
- What language is DeepStream-Yolo written in?
- marcoslucianops/DeepStream-Yolo is primarily written in Python.
- How popular is DeepStream-Yolo?
- marcoslucianops/DeepStream-Yolo has 2k stars on GitHub.
- Where can I find DeepStream-Yolo?
- marcoslucianops/DeepStream-Yolo is on GitHub at https://github.com/marcoslucianops/DeepStream-Yolo.