8000 GitHub - ZJW-92/ML_face_mask_detection: Face Mask Detection is the task of recognizing if a person is wearing a mask or not using Machine Learning technology.
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Face Mask Detection is the task of recognizing if a person is wearing a mask or not using Machine Learning technology.

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ZJW-92/ML_face_mask_detection

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Face Mask Detection is the task of recognizing if a person is wearing a mask or not using Machine Learning technology.

Data source

All the dataset is downloaded from here

Technologies

  • Keras: A high-level, deep learning API for implementing neural networks.
  • Tensorflow: An open-sourced end-to-end platform, a library for multiple machine learning tasks.
  • OpenCV: A library of Python bindings designed to solve computer vision problems.
  • CaffeModel: A machine learning model created by Caffe, which contains an image cl 5977 assification or image segmentation model that has been trained using Caffe.

Setup

Open Pycharm terminal and run pip install -r requirements.txt

Detect image or live camera

Run python3 mask_detection_image.py --image images/sample1.png to detect one image

Run python3 mask_detection_video.py to start live camera

Visualization

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Face Mask Detection is the task of recognizing if a person is wearing a mask or not using Machine Learning technology.

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