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.

1. Encode/Decode Secret Messages in the Mona Lisa Picture

2. Adding time Elapsed to an existing video, like in those director’s cut movies

3. Determine how many pieces of candy are left

4. Count Candy pieces off Camera Video

5. Finding the queen in the game of carrom board

6. Determine if an employee wearing company t-shirt is present on the floor via camera

7. Count the number of eggs in the box

Here are the most common concepts your will learn and apply in this course:

1. Image & Video Data Structure

2. Image Pre-processing (Erode, Dilate etc.)

3. Contour Detection

4. Region of Interest Detection

5. Color Space Manipulation

6. 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 Queens 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

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!