Computer Vision with OpenCV Python | Official OpenCV Course
Computer Vision with OpenCV Python | Official OpenCV Course, available at Free, has an average rating of 4.33, with 15 lectures, based on 303 reviews, and has 11958 subscribers.
You will learn about Learn Computer Vision and AI using OpenCV This course is ideal for individuals who are Beginner Python Developers eager to learn Computer Vision and Deep Learning It is particularly useful for Beginner Python Developers eager to learn Computer Vision and Deep Learning.
Enroll now: Computer Vision with OpenCV Python | Official OpenCV Course
Summary
Title: Computer Vision with OpenCV Python | Official OpenCV Course
Price: Free
Average Rating: 4.33
Number of Lectures: 15
Number of Published Lectures: 15
Number of Curriculum Items: 15
Number of Published Curriculum Objects: 15
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Learn Computer Vision and AI using OpenCV
Who Should Attend
- Beginner Python Developers eager to learn Computer Vision and Deep Learning
Target Audiences
- Beginner Python Developers eager to learn Computer Vision and Deep Learning
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
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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.
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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.
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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.
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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 Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Getting Started with Images
Lecture 1: Getting Started with Images
Chapter 3: Basic Image Manipulation
Lecture 1: Basic Image Manipulation
Chapter 4: Image Annotation using OpenCV
Lecture 1: Image Annotation using OpenCV
Chapter 5: Arithmetic Operations on Images
Lecture 1: Arithmetic Operations on Images
Chapter 6: Bitwise Operations on Images
Lecture 1: Bitwise Operations on Images
Chapter 7: Using Camera / Webcam in OpenCV
Lecture 1: Camera
Chapter 8: Writing Video on Disk
Lecture 1: Writing Video on Disk
Chapter 9: Image Filtering in OpenCV
Lecture 1: Image Filtering in OpenCV
Chapter 10: Image Features and Image Alignment
Lecture 1: Image Features and Image Alignment
Chapter 11: Image Stitching and Creating Panoramas
Lecture 1: Image Stitching and Creating Panoramas
Chapter 12: Object Tracking
Lecture 1: Object Tracking
Chapter 13: Face Detection using Deep Learning
Lecture 1: Face Detection using Deep Learning
Chapter 14: Object Detection using Deep Learning
Lecture 1: Object Detection using Deep Learning
Chapter 15: Human Pose Estimation using Deep Learning
Lecture 1: Human Pose Estimation using Deep Learning
Instructors
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OpenCV Course Team
Explore the world of Computer Vision with OpenCV.org!
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 6 votes
- 3 stars: 35 votes
- 4 stars: 112 votes
- 5 stars: 148 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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