OpenCV Fundamentals

[LeeAndro]

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

This course covers the fundamental of OpenCV and it is designed to be project oriented.

A Practical Guide to Computer Vision

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

Bner level Python programming knowledge

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 bning 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 Elapsed to an existing video, like in those director's cut movies

Detee how many pieces of candy are left

Count Candy pieces off Camera Video

Finding the queen in the game of carrom board

Detee if an employee wearing company t-shirt is present on the floor via camera

Count the number of eggs in the box

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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