Section 1 : Introduction

Lecture 1 Introduction copy 2:43
Lecture 2 Face Recognition Project Components 1:37
Lecture 3 Installing Python 3:10
Lecture 4 Install and Create Virtual Environment 3:43
Lecture 5 Installing OpenCV and Dependencies

Section 2 : Python Crash Course

Lecture 6 Walk through on Jupyter Notebook 20:15
Lecture 7 Download the Resources Text
Lecture 8 Print Statements 7:13
Lecture 9 Escape and Insert keys 11:1
Lecture 10 Variables & Assignments 2:41
Lecture 11 Data Types
Lecture 12 Data Type Casting 4:55
Lecture 13 List
Lecture 14 List Methods 6:18
Lecture 15 Tuple 4:59
Lecture 16 Sets 3:45
Lecture 17 Dictionaries 9:45
Lecture 18 in operator 2:56
Lecture 19 plus operator 2:48
Lecture 20 User Defined Functions 8:2
Lecture 21 Control Statements (if else) 7:17
Lecture 22 Range & Zip 4:43
Lecture 23 For Loop 4:53
Lecture 24 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf

Section 3 : Image Processing with OpenCV

Lecture 25 Introduction 1:53
Lecture 26 Understanding Images 11:17
Lecture 27 Display Images and Depth in Image 16:46
Lecture 28 Understanding Image Pixels - Part 1 6:3
Lecture 29 Understanding Image Pixels - Part 2 5:47
Lecture 30 Image Resizing 6:11
Lecture 31 Object Detection 10:7
Lecture 32 Working on Videos 9:26

Section 4 : Build Face Recognition Model with Machine Learning

Lecture 33 Machine Learning Pipeline Architecture 1:59
Lecture 34 Data Understanding 2:37
Lecture 35 Crop Faces from Image Data 20:21
Lecture 36 Dealing with Unstructured Data (Faces) - part1 8:46
Lecture 37 Dealing with Unstructured Data (Data Analysis) - part2 13:3
Lecture 38 Dealing with Unstructured Data - part3 15:47
Lecture 39 Data Preprocessing 12:29
Lecture 40 Eigen Faces with Principal Component Analysis - part1 14:30
Lecture 41 Eigen Faces with PCA - part2 6:12
Lecture 42 Train Eigen Faces with Machine Learning Model 5:36
Lecture 43 Model Evaluation 18:5
Lecture 44 Tuning Machine Learning Model - part1 5:51
Lecture 45 Tuning Machine Learning Model - part2 5:31
Lecture 46 Make Pipeline Model (all together) 31:30

Section 5 : Flask App

Lecture 47 Introduction Text
Lecture 48 Installing Flask and Visual Studio Code 7:31
Lecture 49 Your First Flask App 3:47
Lecture 50 Flask Routing 6:16
Lecture 51 URL Building 7:44
Lecture 52 Flask Templates - Part 1 8:5
Lecture 53 Flask Templates - Part 2 12:26
Lecture 54 Flask Templates - Part 3 13:55
Lecture 55 Template Inheritance 10:48
Lecture 56 Static Files
Lecture 57 Http Methods in Flask 14:19
Lecture 58 File Upload in Flask 17:8

Section 6 : Face Recognition Project (Integrating HTML Model to Flask App)

Lecture 59 Face Recognition Project Overview 2:21
Lecture 60 Build Base HTML Part-1 7:26
Lecture 61 Build Base HTML Part-2
Lecture 62 Face App Page 10:3
Lecture 63 Gender Classification Page - Part 1 15:48
Lecture 64 Gender Classification Page - Part 2 5:4
Lecture 65 Integrating Machine Learning Model to Flask App 15:57

Section 7 : Extra Tips

Lecture 66 About Certification Pdf
Lecture 67 About Proctor Testing Pdf