About This Course

Who this course is for:

  • Beginners or those who want to start with Python Computer Vision using OpenCV

What you’ll learn: 

  • An overview of computer vision and the amazing OpenCV
  • Installing OpenCV and trying a one-liner code to check if everything is working fine
  • Python assignment, flow-control, functions and data structures
  • The theory of how a digital image is organized, concept of pixels, color and grayscale channels, color codes etc
  • Manipulating the individual pixels of an image and modifying it
  • Selecting a collective area of pixels and manipulating it by trying to change the color and also get the properties of the image
  • Separating and extracting color channels and merging them back to form the original image
  • The popular color spaces and switching an image between different color spaces
  • Creating and drawing simple geometric shapes like line, rectangle, circle, ellipse, polygon, etc. into an image canvas, and inserting a text into the canvas using OpenCV
  • Morphological transformations including erosion, dilation, white noise removal, black point noise removal, gradient transformation, and top hat and black hat morphological image transformations
  • Geometric transformations which includes scaling or resizing the image, translating or place shifting the image, flipping or changing sides, rotating the image by fixing an axis, and cropping the image to extract the region of interest

Welcome to my course Computer Vision: OpenCV Fundamentals Using Python. OpenCV is an open-source computer vision library.

Even if you do not have a Python background, the course includes lessons that will help you get the basic Python programming skills to proceed with the rest of the course. 

The code and the images used are a part of the course and you are free to use the code in your projects with no questions asked.

Happy learning and have a great time.

Our Promise to You

By the end of this course, you will have learned more about OpenCV.

30 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today and learn more about the functionalities of OpenCV.

Course Curriculum

Section 1 - Computer Vision OpenCV
Introduction To OpenCV 00:00:00
Downloadable Materials 00:00:00
Environment Setup 00:00:00
Python Basics – Assignment 00:00:00
Image Concepts 00:00:00
Read, Display And Write Images 00:00:00
Pixel Access And Modification 00:00:00
Area Manipulation And Image Properties 00:00:00
Color Channels – Split And Merge 00:00:00
Color Spaces Conversion 00:00:00
Drawing Geometric Shapes And Text Part 1 – Create Drawing Canvas 00:00:00
Drawing Geometric Shapes And Text Part 2 – Drawing Line, Circle, Rectangle 00:00:00
Drawing Geometric Shapes And Text Part 3 – Ellipse, Polygon And Text 00:00:00
Morphological Transformation Part 1 – Erosion 00:00:00
Morphological Transformation Part 2 – Dilation And Opening 00:00:00
Morphological Transformation Part 3 – Closing, Gradient, Tophat, Blackhat 00:00:00
Geometric Transformations Part 1 – Scaling 00:00:00
Geometric Transformations Part 2 – Translation 00:00:00
Geometric Transformations Part 3 – Rotation 00:00:00
Geometric Transformations Part 4 – Flipping 00:00:00
Geometric Transformations Part 5 – Cropping 00:00:00
Arithmetic Operations – Addition And Subtraction 00:00:00
Bitwise Operations – And, Or, Xor, Not 00:00:00
Image Masking 00:00:00
Custom Filter Image Smoothing 00:00:00
Average And Gaussian Image Smoothing 00:00:00
Median And Bilateral Smoothing 00:00:00
Image Thresholding 00:00:00
Otsu Thresholding 00:00:00
Adaptive Thresholding 00:00:00
Histograms 00:00:00
Histogram Equalization 00:00:00
Image Pyramids 00:00:00
Canny Edge Detection 00:00:00
Image Gradients – Laplace And Sobel 00:00:00
Image Contours 00:00:00
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