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face-mask-detection's Introduction

Face-mask-detection

Aim: To detect whether the person is wearing face mask or not

Face Mask Detection system is built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts to detect face masks in real-time video streams.

Dataset Source

Required Frameworks

  • Tensorflow
  • Keras

Required Libraries:

  • Numpy
  • Sklearn
  • mtcnn
  • OpenCV
  • Pandas
  • Matplotlib
  • Seaborn

Installation guide:

  • Download the zip file of this repo or clone the repo
  • Install the required frameworks and libraries in a new environment
  • Download the h5 file from here and move it to the working directory

Working guide:

  • Open terminal and change the directory to the downloaded unzipped folder
  • Run the below command
python face_detection_and_classification.py
  • Face Mask Detection will be done in real-time

👏 Credits

face-mask-detection's People

Contributors

prashunchitkr avatar dahalprakash avatar pd2871 avatar mountechsolutions avatar taureanamir avatar

Watchers

James Cloos avatar

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