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Video TrainingLearn OpenCV in 2 Hours with 6 Hands-On Projects in 2020



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 42m

Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.


What you'll learn

Understand basics of OpenCV and Computer Vision

Using OpenCV to work with image files

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 bner in Python and get them experienced the advanced concepts in computer vision.

Who this course is for:

Bner 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 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



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