->

Learn OpenCV Python 2022 | Computer Vision Course

Learn OpenCV Python 2022 | Computer Vision Course

https://www.udemy.com/course/learn-opencv-python-computer-vision-course/

 

OpenCV Python from Scratch


 

 

What you'll 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

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

 

Who this course is for:Beginner Developers curious about Computer VisionIf you want to learn Image Processing and Machine VisionDevelop your own Computer Vision AppsStudents who are taking courses related to Artificial IntelligencePython Developers looking to break into computer visionMachine Learning Engineers who are working on a vision-related problem statementProfessionals who want to understand how computer vision works and how they can apply it to real projectsAI hobbyists that want to tinker with DIY projects using computer visionAnyone with basic Python proficiency who wants to learn computer vision

Who 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

 

Learn OpenCV Python 2022 | Computer Vision Course


 TO MAC USERS: If RAR password doesn't work, use this archive program: 

RAR Expander 0.8.5 Beta 4  and extract password protected files without error.


 TO WIN USERS: If RAR password doesn't work, use this archive program: 

Latest Winrar  and extract password protected files without error.


 Solid   |  

Information
Members of Guests cannot leave comments.




rss