Face Mask Detection Android App | Android Studio Tutorials | Android with Machine Learning PART 3

Опубликовано: 15 Декабрь 2020
на канале: Techno Learning

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Contact : atulfbc@gmail.com for source code
TFLite Model File Download Link : https://bit.ly/tfite

Face Mask Detection using TensorFlow and OpenCV implemented in Android app via Android Studio

In this tutorial, we’ll discuss our two-phase face mask detector, detailing how our computer vision/deep learning pipeline will be implemented.
From there, we’ll review the dataset we’ll be using to train our custom face mask detector.
I’ll then show you how to implement a Python script to train a face mask detector on our dataset using Keras and TensorFlow.
We’ll use this Python script to train a face mask detector and review the results.
Given the trained face mask detector, we’ll proceed to implement two more additional Python scripts used to:
Detect face masks in images
Detect face masks in real-time video streams
We’ll wrap up the post by looking at the results of applying our face mask detector.
I’ll also provide some additional suggestions for further improvement.

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