Basically, as a practitioner, I have been solving the different problems of machine learning. While looking for an issue in the FACE-X Gihub repository I found Face Mask Detection Model Issue. The issue was to make a Backend Service for An existing Frontend model. The aim was to make a site where we can upload an image and the site detect a Face mask in the image.
I have made a Website for Fask mask Detection with a Backend in FLask Framework.
key Features of this Website are:
Frontend Features:
Live Detection of Face Mask
have a landing page and a separate simulator page
you can upload videos and images for detection
you can download the code from GitHub
Backend Features:
A POST request is generated using the form in simulator.html. The image is saved in the static folder and the mask is detected on the face. Finally, we render all the prediction and mask detection on the face on the webpage.
input: We take the image path from simulator.html
output: We store it and detect the mask on the face. The mask detection is shown on the webpage. A Result is shown on the webpage.
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