Learn OpenCV in 2 Hours with 6 Hands-On Projects in 2020
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 837 MB | Duration: 1h 42

What you'll learn
Understand basics of OpenCV and Computer Vision
Using OpenCV to work with image files
Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
Use Python and OpenCV to draw shapes on images and videos
Create Face Detection Application
Understand edge detection and it's applications
Create a Document Scanner Application
Understand color profiles in images and how to selectively target them
Create Object Detection Application, using simple color profiles
Face Recognition using state of the art systems
Human Pose Detection System
Create a Face Mask Detection System

Requirements
Having some background of Python will help, but not necessary
Description
Welcome to the ultimate online course on Computer Vision!

In this course we'll go over everything you need to know to become an expert in computer vision! This $20 billion dollar industry will be one of the most important job markets in the years to come.

We'll start the course by learning about the basics of the OpenCV library and how to open and manipulate images. Then will move on to using the library to understand how to process images and apply a variety of effects, including color mappings, blending, thresholds, gradients, and more.

Then we'll move on to understanding video basics with OpenCV,. Afterwards we'll learn about direct video topics, such as object detection, face detection, human pose detection etc.

We'll look into state of the art technologies using the latest face recognition applications and using OpenPose to detect Human Poses

All in all, this course is designed to take a beginner in Python and get them experienced the advanced concepts in computer vision.

Who this course is for:
Beginner students who are interested in learning Computer Vision by doing practical projects
Programmers, college students or anyone enthusiastic about computer vision
Those wanting to be on the forefront of the job market for the AI Revolution
Anyone who wants to shorten training time and build state-of-the-art computer vision projects
Students and professionals who want to take their knowledge of computer vision and deep learning to the next level