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Udemy - OpenCV Fundamentals

      Author: Baturi   |   29 December 2020   |   comments: 0


Udemy - OpenCV Fundamentals
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 36 lectures (5h 10m) | Size: 2.26 GB
A Practical Guide to Computer Vision


What you'll learn:
Fundamental Image & Video Concepts
Building Image Processing Pipeline
Building Binary Images
Extracting Object Contours from Images
Colors Spaces
Hands-on Solving of 7 Vision Problems
Requirements
Beginner level Python programming knowledge
Description
This course covers the fundamental of OpenCV and it is designed to be project oriented. Instead of going over command after command available in OpenCV, we will be tackling various computer vision problems. And then while working through each vision problem, we will learn new openCV commands and apply them to solve the vision problem at hand.
Below are 7 vision problems we will work through. The vision problems in the beginning are rather simple where you will encounter many new concepts and commands. As we progress through, the problems will get harder and they will build on top of the knowledge you would have gained in the previous problems.
Encode/Decode Secret Messages in the Mona Lisa Picture
Adding time Elapsed to an existing video, like in those director's cut movies
Determine how many pieces of candy are left
Count Candy pieces off Camera Video
Finding the queen in the game of carrom board
Determine if an employee wearing company t-shirt is present on the floor via camera
Count the number of eggs in the box
Who this course is for
Software developers who want to start their journey in the field of Computer Vision
Software Developers who want to learn how to use OpenCV to build image pipelines
Software Developers who want to solve vision problems
Homepage
https://www.udemy.com/course/opencv-fundamentals/

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