Augmented Reality Project

This folder contains an Augmented Reality (AR) application that performs real-time object detection using a pre-trained MobileNet-SSD model. The project uses Python 3.6, and it’s recommended to run it in an Anaconda environment.

Requirements

1. Python Version: Python 3.6 (recommended via Anaconda)

2. Dependencies: Install the required packages by running:

   pip install -r requirements.txt

Running the AR Application

After installing the necessary dependencies, you can run the object detection code to enable real-time object detection in an AR environment.

Instructions for Running

1. Linux/MacOS:

   python3 real_time_object_detection.py --prototxt MobileNetSSD_deploy.prototxt.txt --model MobileNetSSD_deploy.caffemodel

2. Windows:

   python real_time_object_detection.py --prototxt MobileNetSSD_deploy.prototxt.txt --model MobileNetSSD_deploy.caffemodel

Files

• real_time_object_detection.py: The main script for running the object detection model in real-time.
• MobileNetSSD_deploy.prototxt.txt: The configuration file defining the MobileNet-SSD model structure.
• MobileNetSSD_deploy.caffemodel: The pre-trained MobileNet-SSD model weights.

Description

The application uses a MobileNet-SSD model to detect objects in real-time through a connected camera or video feed. The detected objects are overlaid with bounding boxes, making it suitable for augmented reality applications.

Notes

• Ensure that your camera is properly connected for real-time detection.
• Adjust the detection threshold in the script if necessary to improve accuracy or speed.