Yolo11s Coco Onnx Dynamic Simplify Nms

--- license: agpl-3.0 base_model: - Ultralytics/YOLO11 pipeline_tag: object-detection tags: - argus - yolo11 - yolo11s - coco - onnx - dynamic - simplify - nms - object-detection - tensorrt --- # Argus YOLO11s COCO ONNX Dynamic Simplify NMS [](https://github.com/zraisan/argus) This repository contains a YOLO11s object detection model exported to ONNX for use with [Argus](https://github.com/zraisan/argus), a C++ live object detection pipeline using FFmpeg, TensorRT, and hardware-accelerated video processing. This is not an official Ultralytics repository. ## Files - `yolo11s_dynamic_simplify_nms.onnx`: ONNX model with dynamic shapes, graph simplification, and NMS included. ## Expected Output The model includes NMS and returns detections in the format: ```text [x1, y1, x2, y2, confidence, class_id] ``` ## Usage With Argus Argus can build a TensorRT engine from this ONNX model and run batched object detection on live video streams. Project repository: https://github.com/zraisan/argus ## Export Command This model can be recreated with Ultralytics using: yolo export \ model=yolo11s.pt \ format=onnx \ imgsz=640 \ opset=17 \ dynamic=True \ simplify=True \ nms=True \ max_det=300 \ batch=16 ## License This model is based on Ultralytics YOLO and is released under the AGPL-3.0 license.

Source context: 25 downloads · 0 likes · Pipeline object-detection · Library tensorrt · Repo mzku/yolo11s-coco-onnx-dynamic-simplify-nms