C++ Object Detection with YOLOv5 involves implementing real-time and image object detection using the YOLOv5 model in the C++ programming language, enabling identification and localization of objects in images or video streams.

• OpenCV 4.5.4 and above
• Python 3.8
• GCC-6.3.0-1

Download ONNX model from Releases or here and put it on Models folder. Debug mode may crush the code so run it in Release mode in visual studio.

Repository consists of two parts. One focuses on object detection from images, and the other on object detection from video media. An ONNX model developed for object detection will be used in both sections