OpenCV on Google Colab using Python

OpenCV on Google Colab using Python, available at $54.99, has an average rating of 4.5, with 6 lectures, based on 14 reviews, and has 3091 subscribers.

You will learn about Image Processing using Google Colab and OpenCV Executing Image Processing algorithms on OpenCV like Image thresholding and colour detection Drawing functions in OpenCV This course is ideal for individuals who are Engineering students who want to learn OpenCV and Image Processing or Professionals who want to understand and learn about the Image Processing or Professionals who want to learn working with google colab and openCV or Students and professionals who work in the different domain and want to learn Image Processing and OpenCV for integrating it into their projects or products It is particularly useful for Engineering students who want to learn OpenCV and Image Processing or Professionals who want to understand and learn about the Image Processing or Professionals who want to learn working with google colab and openCV or Students and professionals who work in the different domain and want to learn Image Processing and OpenCV for integrating it into their projects or products.

Enroll now: OpenCV on Google Colab using Python

Summary

Title: OpenCV on Google Colab using Python

Price: $54.99

Average Rating: 4.5

Number of Lectures: 6

Number of Published Lectures: 6

Number of Curriculum Items: 6

Number of Published Curriculum Objects: 6

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Who Should Attend

Target Audiences

This course is a practical explanation on using the Google Colab for executing the Image Processing algorithms using OpenCV module available in Python. The course starts with explanation about the Google Colab and executing few basic codes in Python and then the basics of Image Processing are explained. Working with gray Images and Colour Images is taken up next and conversion from colour to gray is also explained. Then the Image Threshold and colour detection is explained by taking random images as inputs. The drawing tools are explained using which the images can be marked, lines, polygons and shapes can be drawn using the functions available in python.

This course will explain the concepts of Image Processing and learn how to access the Image data for a 2D and a 3D Image and this course can be used a foundation to build more complex algorithms in Image Processing. The image data for 2D and 3D image is explained and the red, blue and green channel in the image are extracted to understand exactly what a colour image consists of. This helps the students to learn the algorithms better and apply it in any further image processing. The Image Threshold and colour detection concepts are also explained by taking the image data as example which ensures that you understand the concepts very clearly.

Course Curriculum

Chapter 1: OpenCV on Google Colab using Python

Lecture 1: Introduction to Google Colab

Lecture 2: Working with Gray Images

Lecture 3: Working with Colour Images

Chapter 2: Applications in OpenCV

Lecture 1: Image thresholding

Lecture 2: Colour Detection in an Image

Lecture 3: Drawing functions in OpenCV

Instructors

ThinkIoT Solution
Expert Trainer in Embedded Devices and IoT

Rating Distribution

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!