OpenCV Pro: Unleash the Power of Computer Vision
OpenCV Pro: Unleash the Power of Computer Vision, available at $44.99, has an average rating of 4, with 36 lectures, based on 16 reviews, and has 112 subscribers.
You will learn about Fundamental Image & Video Concepts Building Image Processing Pipeline Building Binary Images Extracting Object Contours from Images Colors Spaces Hands-on Solving of 7 Vision Problems This course is ideal for individuals who are Software developers who want to start their journey in the field of Computer Vision or Software Developers who want to learn how to use OpenCV to build image pipelines or Software Developers who want to solve vision problems It is particularly useful for Software developers who want to start their journey in the field of Computer Vision or Software Developers who want to learn how to use OpenCV to build image pipelines or Software Developers who want to solve vision problems.
Enroll now: OpenCV Pro: Unleash the Power of Computer Vision
Summary
Title: OpenCV Pro: Unleash the Power of Computer Vision
Price: $44.99
Average Rating: 4
Number of Lectures: 36
Number of Published Lectures: 36
Number of Curriculum Items: 36
Number of Published Curriculum Objects: 36
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Fundamental Image & Video Concepts
- Building Image Processing Pipeline
- Building Binary Images
- Extracting Object Contours from Images
- Colors Spaces
- Hands-on Solving of 7 Vision Problems
Who Should Attend
- Software developers who want to start their journey in the field of Computer Vision
- Software Developers who want to learn how to use OpenCV to build image pipelines
- Software Developers who want to solve vision problems
Target Audiences
- Software developers who want to start their journey in the field of Computer Vision
- Software Developers who want to learn how to use OpenCV to build image pipelines
- Software Developers who want to solve vision problems
This course covers the fundamental of OpenCV and it is designed to be project oriented. Instead of going over command after command available in OpenCV, we will be tackling various computer vision problems. And then while working through each vision problem, we will learn new openCV commands and apply them to solve the vision problem at hand.
Below are 7 vision problems we will work through. The vision problems in the beginning are rather simple where you will encounter many new concepts and commands. As we progress through, the problems will get harder and they will build on top of the knowledge you would have gained in the previous problems.
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Encode/Decode Secret Messages in the Mona Lisa Picture
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Adding time Elapsed to an existing video, like in those director’s cut movies
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Determine how many pieces of candy are left
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Count Candy pieces off Camera Video
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Finding the queen in the game of carrom board
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Determine if an employee wearing company t-shirt is present on the floor via camera
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Count the number of eggs in the box
Here are the most common concepts your will learn and apply in this course:
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Image & Video Data Structure
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Image Pre-processing (Erode, Dilate etc.)
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Contour Detection
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Region of Interest Detection
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Color Space Manipulation
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Image Processing Pipeline
Course Curriculum
Chapter 1: Machine Setup
Lecture 1: Installing Python, OpenCV, NumPy and more
Chapter 2: Introduction
Lecture 1: Course About & Description
Lecture 2: Introduction to OpenCV
Chapter 3: Basics of an Image
Lecture 1: Reading & Showing an image
Lecture 2: Grayscale Image
Lecture 3: Color Image
Lecture 4: Binary Image
Lecture 5: Encoding a message in the Mona Lisa Painting
Lecture 6: Decoding a message in the Mona Lisa Painting
Chapter 4: Basics of a Video
Lecture 1: Access Video
Lecture 2: Access Camera
Lecture 3: Add Timestamp to Video
Lecture 4: Save Video
Chapter 5: Image Processing
Lecture 1: Introduction to Image Pipeline
Lecture 2: Threshold
Lecture 3: Adaptive Threshold
Lecture 4: Finding Contours
Lecture 5: Drawing Contours
Chapter 6: Video Processing
Lecture 1: Record Video
Lecture 2: Process Video
Chapter 7: Color Thresholding
Lecture 1: Introduction to the Carrom Board Vision Problem
Lecture 2: LAB Color Scheme & InRange thresholding
Lecture 3: Contour Filtering to find the Queen
Lecture 4: Contour Properties to get Queen's X & Y Co-ordinates
Chapter 8: Histographs & Color Schemes
Lecture 1: Introduction to Thresholding via Otsu, masks, LAB Color Scheme & Eroding
Lecture 2: T-Shirt Contour via Thresholding Otsu
Lecture 3: Mask
Lecture 4: plotting charts & LAB color Scheme
Lecture 5: inThresh Contours
Lecture 6: Video Analysis
Chapter 9: Solving a Real Life Problem: Counting the Eggs
Lecture 1: Introduction to Counting Eggs Vision Problem
Lecture 2: Extracting the Eggs Box by Thresholding, Eroding, Approximating Contours& more
Lecture 3: Building a New Image with just the box by using mask and bitwise_and
Lecture 4: Selecting Contours by size
Lecture 5: Counting Contours which are eggs
Lecture 6: A note on Deep Learning
Instructors
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Sandeep Arneja
Engineer
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 3 votes
- 4 stars: 5 votes
- 5 stars: 7 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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