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OpenCV Python For Beginners | Hands on Computer Vision (Udemy.com)

Hands on Practical Examples with OpenCV & Python

Created by: Yogesh Patel

Last updated January 2022

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What you will learn

  • Basics of NumPy
  • Face Detection with OpenCV
  • Draw shapes on images and videos with OpenCV
  • Smoothing, blurring, thresholding, and morphological operations with OpenCV
  • Objects Tracking with OpenCV
  • Histograms with OpenCV
  • Find Car Lane lines with OpenCV

How it compares

Against the other 126 rated Udemy courses in Deep Learning on CourseDuck:

  • Rating4.3 out of 5higher than 18% of them
  • Reviews220#102 of 127 by number of reviews
  • Length12 hourslonger than 57% of them
  • Last updatedJanuary 2022earlier than 78% of them

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Course Description

Welcome to this on OpenCV Python Tutorial For Beginners. OpenCV is an image processing library created by Intel and later supported by Willow Garage and now maintained by Itseez. opencv is available on Mac, Windows, Linux. Works in C, C++, and Python. it is Open Source and free. opencv is easy to use and install.

The goal of this course is to provide you with a working knowledge of OpenCV with Python. We'll start with the basics, starting from installing OpenCV with Python on Windows, Mac, and Ubuntu. Then we will see how to create your first OpenCV python script. Then we will dive deep into the amazing world of computer vision Using OpenCV and learn the most important concepts about computer vision using OpenCV .

So Let's get started !!!

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Instructor Details

Yogesh Patel

Yogesh Patel is Software Developer and Programming Enthusiast with much experience from different projects and many different programming languages.  He earned Master's Degree from Germany. Teaching has been his passion since a long time. His aim to teach technology the way it is used in industry and professional world .

Software training is becoming so costly these days, that poor people are finding it very difficult to attend courses and find jobs. His aim behind creating these tutorials is to help those in need. If you find this useful, please share with your friends on Facebook twitter and Google plus. Let's make these videos help as many students as possible.

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Reviews

4.3

220 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Chaitra Milind Rane on 10/24/2025

Just Awesome, it could be better if there were resources, like the explaination in form of ppts, and doubt solving sessions, and photos and vidoes which were all used

By Ferenc Toth on 3/5/2025

I like how the information flows naturally. I have seen a lot different training material. And this training is one of the few good ones.

By Van Vu on 5/7/2021

Excellent course for beginners! Only thing I would add is that the lecturers could make it clear where we can download the sample data for the course.

By Shubham Vadagave on 3/11/2021

I found it excellent for revising the stuffs . Also very informative

By Berkay Aytac on 9/8/2020

This class is free on youtube. it was directly copied from there. Therefore, some stuff on the videos are missing such as image files, links.

By Edi Buslovich on 6/26/2020

Gives a good overview of OpenCV, but it's very technical, showing lots of examples without explaining theory a little bit further. Talking very slowly, even at speed of 1.75x, I need to press on the forward key all the time.

By Karan on 3/23/2020

for beginner it is perfect course. but you won't get any reply of your doubt so you need to take help of google for any doubt ..

By Shabab Haider on 11/26/2019

This good course for beginners.

By Vaibhav on 10/14/2019

Good teaching but it would more helpful if you explain everything in more detail. And also it would be great if you provide more free courses.

By Mohamed Ahmed Yousif Omer on 10/4/2019

Very nice and useful course thank you a lot, lecturer was very good in explaining and all lectures are easy to understand , I recommend this course for those how are interested in image processing and machine learning.

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Overall Score : 86 / 100