Practical Computer Vision with OpenCV & Python, 8 Projects Free Video Course

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

Practical Computer Vision with OpenCV & Python, 8 Projects

What you will learn from this Course:

  • Learn OpenCV with Python
  • 8 OpenCV Project
  • Image Processing with OpenCV
  • Image Translation
  • Smoothing Filters
  • Bitwise Operations and Masking
  • Convolution Process

Requirements for this Course:

  • Anyone who are beginner to Python


Welcome to “Picture Processing utilizing OpenCV from Zero to Hero” !!!

Picture Processing is one of the spaces of Data Science and has a wide assortment of utilizations in the ventures in the current world. Numerous ventures searching for a Data Scientist with these abilities. This course is totally project-based learning. Where you will do the venture after finishing of each module. Here I will cover the picture handling from nuts and bolts to cutting edge strategies including applied AI calculations and models to pictures.


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

Key Highlights in Section 1 to 7

We will begin the course with extremely essential like a burden, show pictures. With that, we will comprehend the fundamental arithmetic foundation behind the pictures. Likewise, I will show you the ideas of Drawings and Videos.

Undertakings (Object Detection):

  • Face Detection utilizing Viola-Jones Algorithm
  • Face Detection utilizing Deep Neural Networks (SSD ResNet 10, Caffe Implementation)
  • Continuous Face Detection
  • Facial Landmark Detection

Key Highlights in Section 8 to 11

We will gradually move into picture handling ideas identified with picture changes like picture interpretation, flipping, turning, and trimming. I will likewise show number-crunching activities in OpenCV.

Undertaking (Brightness Control):

  1. GUI based Brightness Control in Images
  2. Continuous Brightness Control

Who this course is for:

  • Anyone who are passionate to learn image Processing with OpenCV

Course content:

  • Introduction
  • Drawing
  • Working on Videos
  • Projects- 1:Face Detection with OpenCV
  • Projects- 2:Real Time Face Detection with OpenCV
  • Projects- 3:Face Detection with Deep Neural Network(DNN)
  • Projects- 4:Real Time Face Detection with DNN Opencv
  • Image Transformations
  • Arithmetic Operations in Images
  • Projects- 5: Controlling Brightness of Image with GUI Using OpenCV
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