Skills you will learn

  • Python
  • Object Detection
  • Image Processing
  • Color Detection

Who should learn

  • Software professionals
  • Computer vision enthusiasts
  • Machine learning developers

What you will learn

  • Introduction to OpenCV for Beginners

    • Lesson 1 - Introduction

      06:30
      • 1.01 Introduction to OpenCV
        06:30
    • Lesson 2 - Image Processing

      02:42:43
      • 2.01 Reading an Image
        03:24
      • 2.02 Displaying an Image
        02:13
      • 2.03 Saving an Image
        03:50
      • 2.04 Accessing Image Properties
        04:30
      • 2.05 Changing Color Space
        04:53
      • 2.06 Resizing The Image
        03:09
      • 2.07 Displaying Text
        07:29
      • 2.08 Drawing A Line
        03:50
      • 2.09 Drawing A Circle
        02:44
      • 2.10 Drawing A Rectangle
        02:22
      • 2.11 Drawing A Ellipse
        03:59
      • 2.12 Displaying Images In Multiple Modes
        06:48
      • 2.13 Playing Webcam
        06:33
      • 2.14 Capturing Videos Using OpenCV
        09:46
      • 2.15 Playing Video From File
        03:49
      • 2.16 Basic Operations On Images Using OpenCV
        01:27
      • 2.17 Access Pixel Values And Modify Them
        05:26
      • 2.18 Access Image Properties
        10:59
      • 2.19 Setting Region Of Image
        09:16
      • 2.20 Splitting And Merging Images
        05:07
      • 2.21 Change The Image Color
        03:39
      • 2.22 Blend Two Different Images
        07:10
      • 2.23 Apply Different Filters On Image
        08:23
      • 2.24 Image Thresholding
        04:09
      • 2.25 Contour Detection And Shape Detection
        21:36
      • 2.26 Color Detection
        08:58
      • 2.27 Object Replacing In 2D Image Using OpenCV
        07:14
    • Lesson 3 - Projects Overview

      02:00:38
      • 3.01 Project Overview
        05:11
      • 3.02 Project 1-Face Detection And Blurring
        29:11
      • 3.03 Project 2-Deep Image Classification
        24:54
      • 3.04 Project 4-Object Detection
        17:09
      • 3.05 Project 5-Object Tracking
        11:20
      • 3.06 Project 5-Image Warp Perspective
        18:50
      • 3.07 Project 6-Optical Flow
        14:03
    • Lesson 4 - Conclusion

      02:59
      • 4.01 Recap
        02:59

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Why you should learn

Trusted by Tech Giants

Microsoft, Google, IBM, Sony, Honda, Intel, and Toyota use OpenCV

$107,998

average annual salary for a Computer Vision Developer

Career Opportunities

FAQs

  • What are the prerequisites to learn OpenCV?

    To learn OpenCV, it is recommended to have a basic understanding of any programming language, statistics, and mathematics.

  • How long does it take to complete the OpenCV course?

    The Introduction to OpenCV for Beginners course consists of 5 hours of video content that will help you understand the basic concepts thoroughly along with 5 mini projects.

  • Is the OpenCV course for Beginners easy to learn?

    The videos that you find as a part of this Introduction to OpenCV course are created by Augumented Startups who are industry leaders with vast experience in this field.

  • Can I complete this free OpenCV for Beginners course in 90 days?

    Yes, you can complete this free OpenCV for Beginners course within 90 days.

  • Will I get a certificate after completing the Introduction to OpenCV for Beginners course?

    You will receive a course completion certificate after completing the Introduction to OpenCV for Beginners course.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.
  • *According to Simplilearn survey conducted and subject to terms & conditions with Ernst & Young LLP (EY) as Process Advisors