Learn Image Processing using OpenCV from Scratch udemy course free download
What you'll learn:
- Installing OpenCV and setting up with MS Visual 2013
- Understanding and Using OpenCV library function
- Face tracking (Real-time and also from image)
- Object Tracking (Real-time and also from image)
- Using it with Arduino (or other microcontroller)
Requirements::
- Basic computer handling knowledge
- Visual studio with website feature
- Basic knowledge of asp .net
Description:
Whether you are interested in learning how to apply facial recognition to video streams, building a complete deep learning pipeline for image classification, or simply want to tinker with your Raspberry Pi and add image recognition to a hobby project, you’ll need to learn OpenCV somewhere along the way.
This Course will help you learn the Image-processing from Basics to Advance, like operations on Images, Videos using a huge set of OpenCV-programs and projects.
At the end of the course, we will be creating to real world applications one is Creating Sketch from Web Camera Stream of your own video and secondly Face and Eye Detection from the stream of Web Camera.
We are going to cover following topics in our Course
Getting Started - Python and OpenCV Installation
Reading, Displaying and Writing Image
Splitting Colorspace
Arithmetic Operations on Image - Adding, Subtracting and Bitwise
Retrieving Image Properties and Resizing
Blurring Image
Creating Border
Converting Colorspace
Edge Detection
Drawing Functions - Circle, Line and Rectangle
Detecting Circles
Playing with Videos - Reading and Writing
Finding Shapes
Foreground and Background Extraction
Optical Character Recognition
Sketching
Face and Eye Detection
OpenCV has been a vital part in the development of software for a long time. Learning OpenCV is a good asset to the developer to improve aspects of coding and also helps in building a software development career!
So make right choice for your career path and enroll for the course!
Who this course is for:
- Beginner Python Developers, school & college students and Image Processing aspirants
Course Details:
- 3 hours on-demand video
- 22 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion