In this course you will learn the fundamentals of computer vision using opencv and python. In this course you will learn from the very basic fundamentals of computer vision to the most commonly used practices for creating basic computer vision projects. You will learn the fundamentals and be able to build projects using it. You will start from the very basics of computer vision and go all the way to the some interesting topics in computer vision. We will be using the open source tools and libraries in our course. Computer vision is a subset of AI and it has a huge variety of applications in the field all across the world.  Some of the interesting applications of computer vision include object detection, Optical Character recognition, Robotics, Human Computer Interface, Face recognition and many others.  Jump in and join me on the amazing journey of learning the beauiful field of computer vision.

Here's a list of all the topics you will learnin this course.

• Basics of Numpy

• Color Schemes

• Draw on an Image

• Write Text on an Image

• Coloring Pixels on an image

• Copying Pixels on an image

• Arithmetic operations on an image

• Canny Edges

• Edge Detection

• Gradient Detection

• Color Detection

• Multi Color Detection

• Object Tracking

• Blurring and Smoothening

• Morphological Transformations

• Template Matching

• Feature Matching

• Haar Cascades

• Face Detection

  • Eye detection

  • Smile detection

• Optical Flow

• AI - Dhino

• Hand Art - Project