Real-time Object Detection using OpenCV

This repository contains Python code for real-time object detection using OpenCV. The script utilizes a pre-trained SSD (Single Shot MultiBox Detector) model with MobileNetV3 architecture on the COCO dataset for detecting objects in a live video stream from the webcam.

Requirements

• Python 3
• OpenCV (pip install opencv-python)
• Pre-trained model weights (frozen_inference_graph.pb)
• Model configuration file (ssd_mobilenet_v3_large_coco_2020_01_14.pbtxt)
• Class names file (coco.names)

Usage

1. Install the required dependencies.
2. Download the pre-trained model weights and configuration files.
3. Place the downloaded files in the same directory as the script.
4. Run the Python script.

python object_detection.py