Learn Computer Vision with OpenCV Library using Python
Learn Computer Vision with OpenCV Library using Python, available at Free, has an average rating of 4.65, with 25 lectures, based on 2836 reviews, and has 50494 subscribers.
You will learn about Learn how to use the OpenCV library Build you own image face detection program Learn different tools used in image processing Learn how to use different tools of image filtering with the OpenCV library This course is ideal for individuals who are For a complete beginner in computer vision It is particularly useful for For a complete beginner in computer vision.
Enroll now: Learn Computer Vision with OpenCV Library using Python
Summary
Title: Learn Computer Vision with OpenCV Library using Python
Price: Free
Average Rating: 4.65
Number of Lectures: 25
Number of Published Lectures: 25
Number of Curriculum Items: 25
Number of Published Curriculum Objects: 25
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Learn how to use the OpenCV library
- Build you own image face detection program
- Learn different tools used in image processing
- Learn how to use different tools of image filtering with the OpenCV library
Who Should Attend
- For a complete beginner in computer vision
Target Audiences
- For a complete beginner in computer vision
When you watch the promo above you, can see that I have taken a practical approach in explaining computer vision concepts using the image and video processing library OpenCV. Furthermore the practical approach I have taken, involves writing and implementing code in a way that a complete beginner will be able to follow along and understand.
What you will love about this course ,is that it is easy to follow along with. All you have to do is watch what I do and try to implement it yourself. I have tried to explain some the functions as simple and brief as possible so that a complete beginner would be able to understand.This course is for you if you are interested in computer vision and want to learn how to use the OpenCv library.
Course Curriculum
Lecture 1: Let's Learn!
Chapter 1: Image Fudamentals
Lecture 1: Introduction: What is an image
Lecture 2: Mac OSX Python 3 and OpenCV installation
Lecture 3: Windows Python and OpenCV installation
Lecture 4: How read an Image
Lecture 5: How to save an image in a different format
Chapter 2: Drawing shapes and writing text on an image
Lecture 1: Drawing
Lecture 2: Drawing a rectangle
Lecture 3: Drawing a line
Lecture 4: Drawing a circle
Lecture 5: Writing text
Lecture 6: Drawing combination
Chapter 3: Image Processing
Lecture 1: Image Transformation
Lecture 2: Image Rotation
Lecture 3: Image Thresholding
Chapter 4: Image Filtering
Lecture 1: Gaussian Blur
Lecture 2: Median Blur
Lecture 3: Bilateral Filtering
Chapter 5: Feature Detection
Lecture 1: Canny Edge Detector
Chapter 6: Video Analysis
Lecture 1: Load a video
Lecture 2: Save a video in a different format
Chapter 7: Applications
Lecture 1: Introduction to Image Face Detection
Lecture 2: Real time face detection using webcam
Lecture 3: Image Face Detection
Lecture 4: Real image face detection using webcam
Instructors
-
Frederick Ngoiya
Python,computer vision and machine learning
Rating Distribution
- 1 stars: 178 votes
- 2 stars: 236 votes
- 3 stars: 808 votes
- 4 stars: 843 votes
- 5 stars: 771 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?
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