Practical Computer Vision with OpenCV & Python, 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.

WHAT YOU WILL LEARN?

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):

Face Detection using Viola–Jones Algorithm

Face Detection using Deep Neural Networks (SSD ResNet 10, Caffe Implementation)

Real–Time Face Detection

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.