Object Detection Project

This project demonstrates object detection using TensorFlow and MySQL database interaction.

Table of Contents

• Introduction
• Setup Environment
  • Clone the Repository
  • Install Dependencies
  • Download Pre-trained Model
  • Database Setup
• Usage
  • Run the Main Script
  • View Output
• Contributing
• License

Introduction

This project utilizes TensorFlow for object detection tasks and integrates with a MySQL database for storing detection data.

Setup Environment

1. Clone the Repository

git clone https://github.com/Anurag99778/Object-Detect.git
cd Object-Detect
# Setup Environment

2. Install Dependencies

Ensure you have Python (version 3.6 or higher) installed. Install required packages using requirements.txt:

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pip install -r requirements.txt

3. Download Pre-trained Model

Download the pre-trained TensorFlow model (SSD MobileNet V2) from the TensorFlow Model Zoo and place it in the models/ directory.

4. Database Setup

Ensure MySQL server is installed and running. Create a database named OBJECT_DETECTION. Modify the database connection settings in database.py as needed.

Usage

1. Run the Main Script

Execute the main.py script to perform object detection and interact with the database.

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python main.py

2. View Output

The processed video output will be saved in the specified output directory. Detections will be saved to the MySQL database.

Contributing

Contributions are welcome! If you encounter any issues or have suggestions for improvement, please open an issue or submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.