Welcome to the Shop Sign Detection project! This Python script helps you detect shop signs in videos using advanced computer vision techniques. Whether you're monitoring foot traffic in a mall or analyzing street scenes, this tool can assist you in identifying shop signs accurately.

• AI-Powered Detection: Leveraging cutting-edge deep learning models like YOLO and PaddleOCR, our script can detect shop signs with high accuracy.
• Real-time Processing: Process videos in real-time, allowing you to monitor shop signage dynamically.
• Efficient Entry Tracking: Automatically tracks entry and exit times for each shop, providing valuable insights into customer behavior.

To get started, follow these steps:

1. Installation: Ensure you have Python installed on your system along with the required dependencies listed in requirements.txt.

2. Configuration: Update the paths to your YOLO model (best.pt), YouTube video link, and output Excel file in the script.

3. Execution: Run the main.py script to start processing your video and detecting shop signs.

• Python 3.x
• OpenCV
• Pafy
• Ultralytics YOLO
• PaddleOCR
• Pandas

python main.py

This project is licensed under the MIT License.

Contributions are welcome! Feel free to submit bug reports, feature requests, or pull requests.

• Thanks to the contributors of Ultralytics YOLO and PaddleOCR for their excellent open-source projects.
• Special thanks to the Python community for their continuous support and inspiration.