CourseFlix

OpenCV 3 by Example

3h 53m 58s
English
Paid

OpenCV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open-source libraries, aiding developers in constructing comprehensive projects on image processing, motion detection, and image segmentation. Whether you are completely new to Computer Vision or have a basic understanding of it, this video guide will help you grasp the fundamental OpenCV concepts and algorithms through impressive real-world examples and projects.

Getting Started with OpenCV

Beginning with the installation of OpenCV on your system and a basic understanding of image processing, we quickly transition to creating optical flow video analysis or text recognition in complex scenes. This course will introduce you to commonly-used Computer Vision techniques, empowering you to build your own OpenCV projects from scratch. By the end of this video, you will be familiar with the basics of OpenCV, such as matrix operations, filters, and histograms, as well as more advanced concepts like segmentation, machine learning, complex video analysis, and text recognition.

Course Style and Approach

This video course is a practical tutorial filled with many tips and is closely focused on developing Computer Vision applications with OpenCV. Beginning with the fundamentals, the course gradually increases in complexity with each chapter. Sample applications are developed throughout the course, which you can execute and use in your projects.

What You'll Learn

  • Install OpenCV 3 on your operating system
  • Create the necessary CMake scripts to compile the C++ application and manage its dependencies
  • Familiarize yourself with Computer Vision workflows and understand the basic image matrix format and filters
  • Understand segmentation and feature extraction techniques
  • Remove backgrounds from a static scene to identify moving objects for video surveillance
  • Track different objects in a live video using various techniques
  • Utilize the new OpenCV functions for text detection and recognition with Tesseract

About the Author: Packt Publishing

Packt Publishing thumbnail

Packt Publishing is a UK-based technical publisher that has been releasing books, video courses, and subscription content for software developers since 2004. The Packt catalog is one of the broadest in the industry — covering essentially every active programming language, framework, and infrastructure tool — and operates as both a book publisher and a video-course platform.

The CourseFlix listing carries three Packt courses spanning topics typical of the broader Packt catalog: OpenCV 3 by Example, Learning Salt (DevOps configuration management), and Advanced HTML5 Game Development. Material is paid and aimed at developers picking up specific technologies through structured video walkthroughs.

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#1: The Course Overview
All Course Lessons (49)
#Lesson TitleDurationAccess
1
The Course Overview Demo
05:49
2
Getting Started with OpenCV
04:56
3
What Can You Do with OpenCV?
12:09
4
Installing OpenCV
10:17
5
Basic CMakeConfiguration and Creating a Library
04:04
6
Managing Dependencies
03:16
7
Making the Script More Complex
03:42
8
Images and Matrices
02:33
9
Reading/Writing Images
05:07
10
Reading Videos and Cameras
03:09
11
Other Basic Object Types
02:03
12
Basic Matrix Operations, Data Persistence, and Storage
04:39
13
The OpenCVUser Interface and a Basic GUI
05:25
14
The Graphical User Interface with QT
01:49
15
Adding Slider and Mouse Events to Our Interfaces
04:37
16
Adding Buttons to a User Interface
03:56
17
OpenGL Support
04:37
18
Generating a CMakeScript File
01:59
19
Creating the Graphical User Interface
02:25
20
Drawing a Histogram
04:38
21
Image Color Equalization
02:57
22
Lomography Effect
04:18
23
The CartoonizeEffect
04:56
24
Isolating Objects in a Scene
02:22
25
Creating an Application for AOI
01:49
26
Preprocessing the Input Image
09:17
27
Segmenting Our Input Image
11:19
28
Introducing Machine Learning Concepts
07:05
29
Computer Vision and the Machine Learning Workflow
02:46
30
Automatic Object Inspection Classification Example
02:21
31
Feature Extraction
11:25
32
Understanding HaarCascades
04:32
33
What Are Integral Images
02:57
34
Overlaying a Facemask in a Live Video
04:26
35
Get Your Sunglasses On
03:23
36
Tracking Your Nose, Mouth, and Ears
01:32
37
Background Subtraction
04:13
38
Frame Differencing
02:53
39
Morphological Image processing
03:22
40
Other Morphological Operators
04:18
41
Tracking Objects of a Specific Color
03:18
42
Building an Interactive Object Tracker
05:56
43
Detecting Points Using the Harris Corner Detector
03:28
44
Shi-Tomasi Corner Detector
02:24
45
Feature-Based Tracking
08:21
46
Introducing Optical Character Recognition
02:41
47
The Preprocessing Step
10:00
48
Installing Tesseract OCR on Your Operating System
06:22
49
Using Tesseract OCR Library
08:07
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Course content

49 lessons · 3h 53m 58s
Show all 49 lessons
  1. 1 The Course Overview 05:49
  2. 2 Getting Started with OpenCV 04:56
  3. 3 What Can You Do with OpenCV? 12:09
  4. 4 Installing OpenCV 10:17
  5. 5 Basic CMakeConfiguration and Creating a Library 04:04
  6. 6 Managing Dependencies 03:16
  7. 7 Making the Script More Complex 03:42
  8. 8 Images and Matrices 02:33
  9. 9 Reading/Writing Images 05:07
  10. 10 Reading Videos and Cameras 03:09
  11. 11 Other Basic Object Types 02:03
  12. 12 Basic Matrix Operations, Data Persistence, and Storage 04:39
  13. 13 The OpenCVUser Interface and a Basic GUI 05:25
  14. 14 The Graphical User Interface with QT 01:49
  15. 15 Adding Slider and Mouse Events to Our Interfaces 04:37
  16. 16 Adding Buttons to a User Interface 03:56
  17. 17 OpenGL Support 04:37
  18. 18 Generating a CMakeScript File 01:59
  19. 19 Creating the Graphical User Interface 02:25
  20. 20 Drawing a Histogram 04:38
  21. 21 Image Color Equalization 02:57
  22. 22 Lomography Effect 04:18
  23. 23 The CartoonizeEffect 04:56
  24. 24 Isolating Objects in a Scene 02:22
  25. 25 Creating an Application for AOI 01:49
  26. 26 Preprocessing the Input Image 09:17
  27. 27 Segmenting Our Input Image 11:19
  28. 28 Introducing Machine Learning Concepts 07:05
  29. 29 Computer Vision and the Machine Learning Workflow 02:46
  30. 30 Automatic Object Inspection Classification Example 02:21
  31. 31 Feature Extraction 11:25
  32. 32 Understanding HaarCascades 04:32
  33. 33 What Are Integral Images 02:57
  34. 34 Overlaying a Facemask in a Live Video 04:26
  35. 35 Get Your Sunglasses On 03:23
  36. 36 Tracking Your Nose, Mouth, and Ears 01:32
  37. 37 Background Subtraction 04:13
  38. 38 Frame Differencing 02:53
  39. 39 Morphological Image processing 03:22
  40. 40 Other Morphological Operators 04:18
  41. 41 Tracking Objects of a Specific Color 03:18
  42. 42 Building an Interactive Object Tracker 05:56
  43. 43 Detecting Points Using the Harris Corner Detector 03:28
  44. 44 Shi-Tomasi Corner Detector 02:24
  45. 45 Feature-Based Tracking 08:21
  46. 46 Introducing Optical Character Recognition 02:41
  47. 47 The Preprocessing Step 10:00
  48. 48 Installing Tesseract OCR on Your Operating System 06:22
  49. 49 Using Tesseract OCR Library 08:07

Frequently asked questions

What is OpenCV 3 by Example about?
OpenCV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open-source libraries, aiding developers in constructing comprehensive…
Who teaches OpenCV 3 by Example?
OpenCV 3 by Example is taught by Packt Publishing. You can find more courses by this instructor on the corresponding source page.
How long is OpenCV 3 by Example?
OpenCV 3 by Example contains 49 lessons with a total runtime of 3 hours 53 minutes. All lessons are available to watch online at your own pace.
Is OpenCV 3 by Example free to watch?
OpenCV 3 by Example is part of CourseFlix's premium catalog. A CourseFlix subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch OpenCV 3 by Example online?
OpenCV 3 by Example is available to watch online on CourseFlix at https://courseflix.net/course/opencv-3-by-example. The page hosts every lesson with the integrated video player; no download is required.