Yolov8 Instance Segmentation Demo

Project Description

This project is a demo of instance segmentation using Yolov8 and ONNX Runtime. It is written in C++ and utilizes the OpenCV library for image processing. With this demo, you can learn how to load a model, perform image preprocessing, run inference, post-process the results, and generate instance segmentation images.
vx:littleeyu

Features

Load Yolov8 model for instance segmentation inference Image preprocessing, including resizing and normalization Draw bounding boxes and instance segmentation masks on images Support for multiple classes and threshold settings High-performance inference using ONNX Runtime

Installation and Usage

To install and use the project, follow these steps:

Clone the project to your local machine:

git clone https://github.com/JiayuXu0/YOLOV8-Seg-ONNX.git

Navigate to the project directory:

cd YOLOV8-Seg-ONNX

Build the project:

mkdir build
cd build
cmake ..
make

Run the demo:

./bin/MaskONNXDemo

Dependencies

This project depends on the following software and libraries:

OpenCV 2.x or higher ONNX Runtime C++ API

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项目名称

Yolov8 实例分割 Demo
vx:littleeyu

项目描述

这个项目是一个使用 Yolov8 和 ONNX Runtime 进行实例分割推理的示例。它使用 C++ 编写，并利用 OpenCV 库进行图像处理。通过该示例，您可以了解如何加载模型、进行图像预处理、运行推理、后处理结果并生成实例分割图像。

功能特性

加载 Yolov8 模型进行实例分割推理图像预处理，包括调整大小和归一化在图像上绘制边界框和实例分割结果支持多类别和阈值设置使用 ONNX Runtime 进行高性能推理

安装和使用

请按照以下步骤安装和使用该项目：

克隆项目到本地计算机：

git clone https://github.com/JiayuXu0/YOLOV8-Seg-ONNX.git

进入项目目录：

cd YOLOV8-Seg-ONNX

编译项目：

mkdir build
cd build
cmake ..
make

运行示例：

./bin/ MaskONNXDemo

依赖

该项目依赖以下软件和库：

OpenCV 2.x 或更高版本
ONNX Runtime C++ API