Face Mask Recognition: Deep Learning based Desktop App

Destiny For Everything


Study and Construct Face Recognition for Face Masks Detection Desktop App utilizing Python, TensorFlow 2, OpenCV, PyQT, Qt

What you’ll be taught

Face Recognition for Masks detection with Deep Studying

Develop Convolutional Community Community for Face Masks from Scratch utilizing TensorFlow

Preprocess the large knowledge of picture

OpenCV for Face Detection

Laptop Imaginative and prescient Desktop Utility with PyQt

PyQt Important Ideas

Description

Undertaking that you can be Creating:

Prerequisite of Undertaking: OpenCV

  1. Picture Processing with OpenCV

Part -0 : Setting Up Undertaking

  1. Set up Python
  2. Set up Dependencies

Part -1 : Information Preprocessing

  1. Collect Photographs
  2. Extract Faces solely from Photographs
  3. Labeling (Goal output) Photographs
  4. Information Preprocessing
    1. RGB imply subtraction picture

Part – 2: Develop Deep Studying Mannequin

  1. Coaching Face Recognition with OWN Deep Studying Mannequin.
    1. Convolutional Neural Community
  2. Mannequin Analysis

Part – 3: Prediction with CNN Mannequin

1. Placing All collectively

Part – 4: PyQT Fundamentals

Part -5: PyQt primarily based Desktop Utility

Overview:

I’ll begin the course by putting in Python and putting in the mandatory libraries in Python for creating the end-to-end undertaking. Then I’ll educate you one of many stipulations of the course that’s image processing methods in OpenCV and the mathematical ideas behind the photographs. We can even do the mandatory picture evaluation and required preprocessing steps for the photographs. Then we are going to do a mini undertaking on Face Detection utilizing OpenCV and Deep Neural Networks.

With the ideas of picture fundamentals, we are going to then begin our undertaking phase-1, face id recognition. I’ll begin this part with preprocessing pictures, we are going to extract options from the photographs utilizing deep neural networks. Then with the options of faces, we are going to practice the completely different Deep studying fashions like Convolutional Neural Community.  I’ll educate you the mannequin choice and hyperparameter tuning for face recognition fashions

As soon as our Deep studying mannequin is prepared, will we transfer to Part-3, and write the code for preforming predictions with CNN mannequin.

Lastly, we are going to develop the desktop software and make prediction to stay video streaming.

What are you ready for? Begin the course develop your personal Laptop Imaginative and prescient Flask Desktop Utility Undertaking utilizing Machine Studying, Python and Deploy it in Cloud with your personal fingers.

English
language

Content material

Introduction

Introduction

Setting Up Undertaking

Set up Python
Create Digital Setting in Python
Set up Libraries like TensorFlow 2, OpenCV and many others.

Information Preparation & Preprocessing

Obtain Sources
Information
Information Preparation Course of
Information Preparation: Import Required Python Libraries
Information Preparation: Get all Photographs Path in Folder
Information Preparation: Labeling
Information Preparation: Get Photographs Path and Labelling Photographs in a number of Folders
Step – 3, Face Detection
Face Detection: Learn Picture
Face Detection: Load Mannequin
Face Detection: Blob from Picture
Draw Bounding Field for Detected Face
Step – 4, Crop the Detected Face
Step – 5, Picture Processing – Blob from Picture (RGB imply subtraction picture)
Step – 5, Picture Processing – Rotate & Flip Picture
Step -5, Take away Unfavourable values and Normalize
Apply Information Preparation course of to All pictures
Step – 6, Save Preprocessed Information in Numpy zip

Face Recognition Mannequin for Masks Identification with Deep Studying

Load Numpy Zip Information into Pocket book
One Sizzling Encoding to focus on or output variable (y)
Break up the Information into Practice and Take a look at units
Convolutional Neural Community Structure
Develop CNN mannequin in TensorFlow 2
Compile CNN mannequin, Setting Adam Optimizer & Loss Perform
Practice CNN mannequin
Save Deep Studying Mannequin in TensorFlow

Predictions with Face Recognition mannequin for Face Masks

Load TensorFlow primarily based CNN Mannequin in a Pocket book
Defining Labels and Setting Colours
Step – 1, Face Detection
Step -2, Information Preprocess
Step – 3, Get Predictions from CNN Mannequin for Face Masks
Generate textual content for Prediction information
Get Face Masks Prediction to an Picture
Actual Time Face Masks Prediction

BONUS

Bonus Lecture

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