[100% OFF] Image Processing using OpenCV from Zero to Hero, 8 Projects

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Learn Practical Python OpenCV concepts and develop projects on completion of every module

Image Processing using OpenCV from Zero to Hero, 8 Projects


Welcome to “Image Processing using OpenCV from Zero to Hero” !!!

Image Processing is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. Many industries looking for a Data Scientist with these skills. This course is completely project-based learning. Where you will do the project after completion of every module. Here I will cover the image processing from basics to advanced techniques including applied machine learning algorithms and models to images.



  • Image Basics
  • Drawings
  • Image Translation
  • Image Processing Techniques
  • Smoothing Filters
  • Filters
  • Graphical Use Interphase  (GUI) in OpenCV

Key Highlights in Section 1 to 7

We will start the course with very basic like load, display images. With that, we will understand the basic mathematics background behind the images. Also, I will teach you the concepts of Drawings and Videos.

Projects (Object Detection):

  1. Face Detection using Viola-Jones Algorithm
  2. Face Detection using Deep Neural Networks (SSD ResNet 10, Caffe Implementation)
  3. Real-Time Face Detection
  4. Facial Landmark Detection

Key Highlights in Section 8 to 11

We will slowly move into image processing concepts related to image transformations like image translation, flipping, rotating, and cropping. I will also teach arithmetic operations in OpenCV.

Project (Brightness Control):

5. GUI based Brightness Control in Images

6. Real-Time Brightness Control

Key Highlights in Section 12,13

In these sections, I will introduce new concepts on bitwise operations and masking, where you will learn the truth table and different bitwise operations like “AND“, “OR“, “NOT“, “XOR“.

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Key Highlights in Section 14

Then we will extend our discussion on Smoothing Filter which is a very important image processing technique. In this section, I will teach smoothing techniques like Average Blur, Gaussian Blur, Median Blur & Bilateral Filter.

You will have complete access to Images, Data, Jupyter Notebook files that are used in this course. The code used in this course is written in such a way that you can directly plug the function into the real-time scenario and get the output.

I will see you inside the course!!!


Srikanth Guskra

Who this course is for:

  • Anyone who are passionate to learn image Processing with OpenCV




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