Add YOLOv8 OpenVINO C++ Inference example (#13839)

Co-authored-by: Muhammad Amir Abdurrozaq <m.amir.hs19@gmail.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

examples/YOLOv8-OpenVINO-CPP-Inference/README.md

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+# YOLOv8 OpenVINO Inference in C++ 🦾
+
+Welcome to the YOLOv8 OpenVINO Inference example in C++! This guide will help you get started with leveraging the powerful YOLOv8 models using OpenVINO and OpenCV API in your C++ projects. Whether you're looking to enhance performance or add flexibility to your applications, this example has got you covered.
+
+## 🌟 Features
+
+- 🚀 **Model Format Support**: Compatible with `ONNX` and `OpenVINO IR` formats.
+- ⚡ **Precision Options**: Run models in `FP32`, `FP16`, and `INT8` precisions.
+- 🔄 **Dynamic Shape Loading**: Easily handle models with dynamic input shapes.
+
+## 📋 Dependencies
+
+To ensure smooth execution, please make sure you have the following dependencies installed:
+
+| Dependency | Version  |
+| ---------- | -------- |
+| OpenVINO   | >=2023.3 |
+| OpenCV     | >=4.5.0  |
+| C++        | >=14     |
+| CMake      | >=3.12.0 |
+
+## ⚙️ Build Instructions
+
+Follow these steps to build the project:
+
+1. Clone the repository:
+
+   ```bash
+   git clone https://github.com/ultralytics/ultralytics.git
+   cd ultralytics/YOLOv8-OpenVINO-CPP-Inference
+   ```
+
+2. Create a build directory and compile the project:
+   ```bash
+   mkdir build
+   cd build
+   cmake ..
+   make
+   ```
+
+## 🛠️ Usage
+
+Once built, you can run inference on an image using the following command:
+
+```bash
+./detect <model_path.{onnx, xml}> <image_path.jpg>
+```
+
+## 🔄 Exporting YOLOv8 Models
+
+To use your YOLOv8 model with OpenVINO, you need to export it first. Use the command below to export the model:
+
+```commandline
+yolo export model=yolov8s.pt imgsz=640 format=openvino
+```
+
+## 📸 Screenshots
+
+### Running Using OpenVINO Model
+
+![Running OpenVINO Model](https://github.com/ultralytics/ultralytics/assets/76827698/2d7cf201-3def-4357-824c-12446ccf85a9)
+
+### Running Using ONNX Model
+
+![Running ONNX Model](https://github.com/ultralytics/ultralytics/assets/76827698/9b90031c-cc81-4cfb-8b34-c619e09035a7)
+
+## ❤️ Contributions
+
+We hope this example helps you integrate YOLOv8 with OpenVINO and OpenCV into your C++ projects effortlessly. Happy coding! 🚀