Free Download Learn OpenCV for Computer Vision
Published 12/2023
Created by Prag Robotics
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 63 Lectures ( 4h 3m ) | Size: 2.4 GB
Learn CV tool perform hands-on in all essential topics
What you'll learn:
To study the process of Image formation and Image manipulation
To study about image processing
To impart knowledge on image enhancement techniques
To understand the significance of vision in robotics
To understand the process of integrating intelligence in Vision
Requirements:
Basic knowledge of Programming
Knowledge in Python Programming Language
Basic Understanding of Computer Vision
Description:
If you ever wondered what the logic and the program is behind on how a computer is interpreting the images that are being captured, then this is the correct course for you. In this course we will be using Open CV Library. This library comprises of programming functions mainly aimed at real-time computer vision.At this point, you would be wondering what is the purpose of learning Computer Vision? This is an area segment in Artificial Intelligence where computer algorithms are used to decipher what the computer understands from captured images. This field is currently used by various leading companies like Google, Facebook, Apple etc. You are having Computer Vision related aspects even in mobile phone applications like Snapchat, Instagram, Google Lens, etc.In this course, we will cover the basics of Computer Vision and create a project. At this point, you would be wondering what is the purpose of learning Computer Vision? This is an area segment in Artificial Intelligence where computer algorithms are used to decipher what the computer understands from captured images. This field is currently used by various leading companies like Google, Facebook, Apple etc. You are having Computer Vision related aspects even in mobile phone applications like Snapchat, Instagram, Google Lens, etc.In this course, we will cover the basics of Computer Vision and create a project.
Who this course is for:
Anyone interested in the field of computer vision
Anyone interested in image processing
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