Face Mask Recognition: Deep Learning based Desktop App

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2022-06-08
Learners

No Information
Duration

No Information
Instructor

G SudheerData Science AnywhereConvolution Innovati

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4.9

2,415 Ratings

This course provides a unique opportunity for new learners to develop their own computer vision flask desktop application project using machine learning, Python, and deploy it in the cloud. Learners will be guided through the process of installing Python and the necessary libraries, as well as learning image processing techniques in OpenCV and the mathematical concepts behind the images. They will also learn how to extract features from images using deep neural networks, train different deep learning models like convolutional neural networks, and write code for performing predictions with the CNN model. Finally, learners will develop a desktop application and make predictions to live video streaming. With Face Mask Recognition: Deep Learning based Desktop App, learners can gain the skills to build their own computer vision project and deploy it in the cloud.

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Face Mask Recognition: Deep Learning based Desktop App

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course offers new learners the chance to create their own computer vision flask desktop application project using machine learning, Python, and deploying it in the cloud. Learners will be guided through the process of installing Python and the necessary libraries, as well as learning image processing techniques in OpenCV and the mathematical concepts behind the images. They will also be taught how to extract features from images using deep neural networks, train different deep learning models such as convolutional neural networks, and write code for performing predictions with the CNN model. Finally, learners will develop a desktop application and make predictions to live video streaming.

Course Syllabus

Introduction

Setting Up Project

Data Preparation & Preprocessing

Face Recognition Model for Mask Identification with Deep Learning

Predictions with Face Recognition model for Face Mask

PyQt Basics

Desktop App with PyQt

BONUS

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