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26-12-2020, 07:18

OpenCV Fundamentals

Category: Tutorials


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



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