Face Blurring in a Video Stream

Overview

This guide will help you execute a Python script designed to detect and blur faces in a video. Follow these steps carefully, and you should be able to run the script without any issues.

Prerequisites

1. Python Installation: Ensure you have Python installed on your computer. You can download it from python.org.
2. Required Libraries: You need to install some Python libraries. Open a command prompt (Windows) or terminal (Mac/Linux) and run the following command:
   pip install opencv-python opencv-python-headless numpy

3. Model Files: Download the required model files:
   • Model file: res10_300x300_ssd_iter_140000.caffemodel from this link.
   • Configuration file: deploy.prototxt from this link.
4. Input Video: Have the input video file ready (e.g., wheel4.mp4). Place this file in the same directory as your script.

Script Execution Steps

1. Save the Script: Copy the provided script into a text editor and save it as face_blur.py in the same directory where you placed the model files and input video.
2. Run the Script: Open a command prompt or terminal, navigate to the directory where the script and files are located, and run the script using the following command:
   python face_blur.py


    

3. This command will execute the script, processing the video to detect and blur faces, and save the output video as wheel5.mp4.

Troubleshooting

• Ensure all files are in the same directory: The script, model files, and input video should all be in the same directory.
• Check Python and Library Versions: Make sure you have compatible versions of Python and the required libraries.
• Model File Download: Verify that the model files are correctly downloaded and not corrupted.