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Courses>Other IT & Software>Learn Python Computer Vision with OpenCV
IT & SoftwareLearn Python Computer Vision with OpenCV
Price:Paid
Length:3 hours
Content type:video
level:all levels
Updated:20 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Other IT & Software>Learn Python Computer Vision with OpenCV
Learn Python Computer Vision with OpenCV
0.0 (5.0)
3 hours
5 students
What you will learn
1Computer Vision using OpenCV
2Image Processing - Translation, Rotation, Scaling, Brightness, Arithmetic Operations, Convolutions, Blurring, Sharpening and many more
3Object Detection using Haar Cascade
Target audiences
1Everyone who want to build some interesting Computer Vision Applications.
2Anyone who want to learn a new thing in Python Programming.
3Students, Professinals, Hobbyists.
Requirements
1Be able to operate the computer.
2High School Math.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
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!
Description

You are going to learn Computer vision using OpenCV and Python.

OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real-time computer vision. Originally developed by Intel, it was later supported by Willow Garage then Itseez (which was later acquired by Intel). The library is cross-platform and free for use under the open-source Apache 2 License. Starting with 2011, OpenCV features GPU acceleration for real-time operations.

OpenCV is something which is of intermediate level in Python programming, But in this course as I start from basics of Python programming, even if you are a novice in programming you can take this course and start building applications.

I am covering the basics of Python, Numpy, Matplotlib, OpenCV and 3 Applications.

1) Python - Data types, Lists, Tuples, Dictionary, Sets, Class, Function

2) Numpy - Arrays and its use

3) Matplotlib - Charts

4) Image Processing using OpenCV - Translation, Rotation, Scaling, Greyscaling, Color Spaces, Image Pyramids, Brightness and Contrast, Cropping, Arithmetic Operations, Convolutions, Blurring, Sharpening, Threshold, Dilation and Erosion, Edge Detection, Contour, Shape Matching, Drawing Images, Finding Corners.

5) Projects :-

   A) Live Video Sketch - Here we are taking a small video clip and covert the video into sketch. We are going to use previously learnt concept of greyscaling, edge detection etc

  B) Object Detection - Detecting Objects from video. Using Haar cascade.

  C) Face Detection - Detecting Face in an image.

You can develop full fledged Image processing application using this course. Also with this knowledge you can develop applications for security systems, classifying objects, converting old books to images, make it readable and so on.

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Opportunities
Make the most out of your online education
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Careertail
Courses>Other IT & Software>Learn Python Computer Vision with OpenCV
IT & SoftwareLearn Python Computer Vision with OpenCV
Price:Paid
Length:3 hours
Content type:video
level:all levels
Updated:20 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Other IT & Software>Learn Python Computer Vision with OpenCV
Learn Python Computer Vision with OpenCV
0.0 (5.0)
3 hours
5 students
What you will learn
1Computer Vision using OpenCV
2Image Processing - Translation, Rotation, Scaling, Brightness, Arithmetic Operations, Convolutions, Blurring, Sharpening and many more
3Object Detection using Haar Cascade
Target audiences
1Everyone who want to build some interesting Computer Vision Applications.
2Anyone who want to learn a new thing in Python Programming.
3Students, Professinals, Hobbyists.
Requirements
1Be able to operate the computer.
2High School Math.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
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!
Description

You are going to learn Computer vision using OpenCV and Python.

OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly aimed at real-time computer vision. Originally developed by Intel, it was later supported by Willow Garage then Itseez (which was later acquired by Intel). The library is cross-platform and free for use under the open-source Apache 2 License. Starting with 2011, OpenCV features GPU acceleration for real-time operations.

OpenCV is something which is of intermediate level in Python programming, But in this course as I start from basics of Python programming, even if you are a novice in programming you can take this course and start building applications.

I am covering the basics of Python, Numpy, Matplotlib, OpenCV and 3 Applications.

1) Python - Data types, Lists, Tuples, Dictionary, Sets, Class, Function

2) Numpy - Arrays and its use

3) Matplotlib - Charts

4) Image Processing using OpenCV - Translation, Rotation, Scaling, Greyscaling, Color Spaces, Image Pyramids, Brightness and Contrast, Cropping, Arithmetic Operations, Convolutions, Blurring, Sharpening, Threshold, Dilation and Erosion, Edge Detection, Contour, Shape Matching, Drawing Images, Finding Corners.

5) Projects :-

   A) Live Video Sketch - Here we are taking a small video clip and covert the video into sketch. We are going to use previously learnt concept of greyscaling, edge detection etc

  B) Object Detection - Detecting Objects from video. Using Haar cascade.

  C) Face Detection - Detecting Face in an image.

You can develop full fledged Image processing application using this course. Also with this knowledge you can develop applications for security systems, classifying objects, converting old books to images, make it readable and so on.

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot