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/main.cc

@@ -0,0 +1,41 @@
+#include "inference.h"
+
+#include <iostream>
+#include <opencv2/highgui.hpp>
+
+int main(int argc, char **argv) {
+	// Check if the correct number of arguments is provided
+	if (argc != 3) {
+		std::cerr << "usage: " << argv[0] << " <model_path> <image_path>" << std::endl;
+		return 1;
+	}
+	
+	// Get the model and image paths from the command-line arguments
+	const std::string model_path = argv[1];
+	const std::string image_path = argv[2];
+	
+	// Read the input image
+	cv::Mat image = cv::imread(image_path);
+	
+	// Check if the image was successfully loaded
+	if (image.empty()) {
+		std::cerr << "ERROR: image is empty" << std::endl;
+		return 1;
+	}
+	
+	// Define the confidence and NMS thresholds
+	const float confidence_threshold = 0.5;
+	const float NMS_threshold = 0.5;
+	
+	// Initialize the YOLO inference with the specified model and parameters
+	yolo::Inference inference(model_path, cv::Size(640, 640), confidence_threshold, NMS_threshold);
+
+	// Run inference on the input image
+	inference.RunInference(image);
+	
+	// Display the image with the detections
+	cv::imshow("image", image);
+	cv::waitKey(0);
+
+	return 0;
+}