Object Detection with OpenCV and YOLOv8

A Python project that detects cars in a video using the Ultralytics YOLOv8 model and displays the results live with OpenCV.

Prerequisites

• Python 3.8+

Install dependencies

pip install ultralytics opencv-python

The code will:

1. Load the tiny YOLOv8 model (yolov8n.pt).
2. Read frames from cars.mp4.
3. Draw green bounding-boxes around objects classified as car.
4. Show the annotated frames in a window.

Showcase