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Computer Vision with OpenCV Python | Official OpenCV Course

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  • 12,175 Students
  • Updated 10/2024
  • Certificate Available
4.4
(340 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 59 Minute(s)
Language
English
Taught by
OpenCV University
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.4
(340 Ratings)
1 views

Course Overview

Computer Vision with OpenCV Python | Official OpenCV Course

Get started with Computer Vision using OpenCV, the largest and most extensive Computer Vision library in the world!

Learn to use OpenCV for Computer Vision and AI in this official course for absolute beginners from OpenCV. You will learn and get exposed to a wide range of exciting topics like Image & Video Manipulation, Image Enhancement, Filtering, Edge Detection, Object Detection and Tracking, Face Detection, and the OpenCV Deep Learning Module.

This course helps you confidently take your very first steps in the exciting world of Computer Vision and AI. This field offers limitless opportunities in the Computer Vision and AI job market. Embark on this learning journey and welcome to the AI revolution!


Course Contents

Module 1: Getting Started with Images

Module 2: Basic Image Manipulation

Module 3: Image Annotation

Module 4: Arithmetic Operations on Images

Module 5: Bitwise Operations on Images

Module 6: Accessing the Camera

Module 7: Read and Write Videos

Module 8: Image Filtering and Edge Detection

Module 9: Image Features and Image Alignment

Module 10: Image Stitching and Creating Panoramas 

Module 11: Object Tracking in OpenCV

Module 12: Face Detection using Deep Learning

Module 13: Object Detection using Deep Learning

Module 14: Pose Estimation using OpenPose


Course Features

  • Designed By Industry Experts: This course in OpenCV and Python is for absolute beginners has been designed by our team of engineers and researchers, currently working in the field of Computer Vision and Deep Learning. This course will help you confidently take your very first steps into the exciting world of Computer Vision and AI.

  • Powered By Python: The programming language of choice for this short introductory course is Python, one of the most comprehensive and widely used languages in AI.

  • Foundational & Experiential Learning: This course will help you develop a broad and basic understanding and practice of the subject matter before committing to more structured formal learning paths from beginner to mastery levels that are available online through OpenCV.

  • Practical & Intuitive: The field of Computer Vision contains many theoretical underpinnings which can become a stumbling block for absolute beginners, especially, when courses contain heavy mathematics. With this in mind, we have created this 'getting started' course to provide you a wide exposure to this exciting field.

Course Content

  • 15 section(s)
  • 15 lecture(s)
  • Section 1 Introduction
  • Section 2 Getting Started with Images
  • Section 3 Basic Image Manipulation
  • Section 4 Image Annotation using OpenCV
  • Section 5 Arithmetic Operations on Images
  • Section 6 Bitwise Operations on Images
  • Section 7 Using Camera / Webcam in OpenCV
  • Section 8 Writing Video on Disk
  • Section 9 Image Filtering in OpenCV
  • Section 10 Image Features and Image Alignment
  • Section 11 Image Stitching and Creating Panoramas
  • Section 12 Object Tracking
  • Section 13 Face Detection using Deep Learning
  • Section 14 Object Detection using Deep Learning
  • Section 15 Human Pose Estimation using Deep Learning

What You’ll Learn

  • Learn Computer Vision and AI using OpenCV

Reviews

  • N
    Nelson Humberto Zambrano Cortés
    4.5

    Excelente curso!!

  • M
    Mohammad Zarif Joya
    5.0

    The Course is specially recommended for beginners of Open CV with practical Projects.

  • N
    Nicolás Rafael Farias
    5.0

    In this course, the author covers the topics he wants to explain. Thank you

  • V
    Vihaan Gopinath
    3.0

    It was hard at first and then harder at the end :(

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