feat: Add real-time face mask detection system#2
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Added Computer Vision YOLO face mask detection
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This pull request introduces a complete, real-time face mask detection system. The system uses a custom-trained YOLOv8 model to accurately identify faces with and without masks in live video streams or from static images.
This feature addresses the need for a robust and efficient solution for monitoring public spaces, and it can be integrated into various applications, from smart cameras to access control systems.
Changes Made
Model Training: Trained a YOLOv8 model on a custom dataset containing images of faces with and without masks. The training script and configuration files are included.
Inference Script: Developed a Python script to perform real-time inference using the trained model. This script can be run on a webcam feed.
Dataset and Preprocessing: Included a README explaining the dataset used for training, including its source and annotation details.
Dependencies: Updated the requirements.txt file to include all necessary libraries, such as ultralytics and opencv-python.