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Learn OpenCV Python 2022 | Computer Vision Course

OpenCV Python from Scratch
3.6
3.6/5
(4 reviews)
42 students
Created by

8.3

CourseMarks Score®

9.8

Freshness

6.8

Feedback

7.8

Content

Platform: Udemy
Video: 5h 0m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

8.3 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.8 / 10
This course was last updated on 2/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

6.8 / 10
We analyzed factors such as the rating (3.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.8 / 10
Video Score: 8.3 / 10
The course includes 5h 0m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.7 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

*Price goes up to $39 on the 1st of April 2022. Price increase is due to newer content added to the course every month.
We are generating an ever-increasing amount of visual data. Youtube users upload over 500 hours of video every minute, over 100 million posts are made on Instagram every day. There are already over 5 million video cameras with cellular connectivity, and they’re growing at a rate of 40.7%. With the advent of the Metaverse, this data generation is just going to keep growing exponentially.

All this data provides fuel to rapidly grow the already $10 billion computer vision industry, necessitating the need for programmers and developers to learn skills required to work with image and video data.

That’s cool and all, but where does one start? There are thousands and thousands of courses out there. Ones in different programming languages and different vision libraries. Which one should you choose?
As the fastest-growing language, Python seems like the obvious choice of language to leverage the power of existing computer vision libraries. And with easy access to 2,500-plus classic and state-of-the-art computer vision algorithms, OpenCV is a good place to start.

In this course, you’ll take your first steps towards becoming an expert in computer vision! You’ll learn how to use Python and the OpenCV library to analyze images and video data. The course takes a project-based approach. There’s no unnecessary complicated theory fuzz, we get straight to the point: the code and the applications. There are over 5 hours of rich informative content with 5+ real-world projects.

Here’s a quick overview of what you’ll learn:

•Downloading & setting up OpenCV
•Reading saved images, videos and working with live video streams
•Manipulating images on a pixel-level
•Annotating images with text and shapes
•Contour & shape detection
•Basics of color spaces like RGB & HSV
•Thresholding & color detection
•Project 1: Face Detection & Blurring
•Project 2: Image Classification With Tensorflow Keras Neural Networks
•Project 3: Object Detection using Haar-Cascade Classifier
•Project 4: Object Tracking
•Project 5: Using Wrap Transform to change the camera perspective
•Project 6: Motion Estimation using Optical Flow

Requirements
Please ensure that you have the following:
•Basic Python Programming Skills
•Mid to high range PC/ Laptop
•Windows 10/Ubuntu

30 Day Udemy Refund Guarantee
If you are not happy with this course for any reason, you are covered by Udemy’s 30-day no-questions-asked refund guarantee.

Who This Course Is For:

•Students who are taking courses related to Artificial Intelligence
•Python Developers looking to break into computer vision
•Machine Learning Engineers who are working on a vision-related problem statement
•Professionals who want to understand how computer vision works and how they can apply it to real projects
•AI hobbyists that want to tinker with DIY projects using computer vision
•Anyone with basic Python proficiency who wants to learn computer vision

You will learn

✓ Work with images and video files using Python & OpenCV
✓ Manipulate images to remove noise and fix camera perspective skews
✓ Understand color spaces and use thresholding to mask colors
✓ Detect lines, contours, and shapes
✓ Build 5+ real world projects

Requirements

• Basic Python Programming Skills
• A PC or Laptop
• Windows 10/Ubuntu

This course is for

• Beginner Developers curious about Computer Vision
• If you want to learn Image Processing and Machine Vision
• Develop your own Computer Vision Apps
• Students who are taking courses related to Artificial Intelligence
• Python Developers looking to break into computer vision
• Machine Learning Engineers who are working on a vision-related problem statement
• Professionals who want to understand how computer vision works and how they can apply it to real projects
• AI hobbyists that want to tinker with DIY projects using computer vision
• Anyone with basic Python proficiency who wants to learn computer vision

How much does the Learn OpenCV Python 2022 | Computer Vision Course course cost? Is it worth it?

The course costs $14.99. And currently there is a 50% discount on the original price of the course, which was $84.99. So you save $70 if you enroll the course now.

Does the Learn OpenCV Python 2022 | Computer Vision Course course have a money back guarantee or refund policy?

YES, Learn OpenCV Python 2022 | Computer Vision Course has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Learn OpenCV Python 2022 | Computer Vision Course course, but there is a $70 discount from the original price ($84.99). So the current price is just $14.99.

Who is the instructor? Is Augmented Startups a SCAM or a TRUSTED instructor?

Augmented Startups has created 22 courses that got 3,473 reviews which are generally positive. Augmented Startups has taught 55,845 students and received a 3.8 average review out of 3,473 reviews. Depending on the information available, Augmented Startups is a TRUSTED instructor.
M(Eng) AI Instructor 97k+ Subs on YouTube & 60k+ students
So a bit about me, Ritesh Kanjee: I’ve graduated from University of Johannesburg as an Electronic Engineer with a Masters in Image Processing and 8 years ago I started my online school called Augmented Startups where I have over 97’000 subscribers on YouTube and over 60’000 students on Augmented AI Bootcamp/Udemy.
I’ve worked with popular tools such as TensorFlow Keras, Open CV, and PyTorch and I’ve also produced High ranking tutorials that feature on Google and YouTube. My Machine Learning Series is also one of the most viewed videos, over 300 thousand views and you’ll find them ranked right at the top on YouTube search results.
From my tutorials, I have received a lot of great feedback and testimonials from students all around the world, I will share those reviews towards the end of the video
And I have also presented at international conferences and meetups in AI. For industry standard AI, I have partnered up with Geeky Bee AI who are Experts in the field in AI and Deep Learning and have experience developing AI apps for real world applications.

8.3

CourseMarks Score®

9.8

Freshness

6.8

Feedback

7.8

Content

Platform: Udemy
Video: 5h 0m
Language: English
Next start: On Demand

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