$125 | Duration: 2h 31m | Video: h264, 1920x1080 | Audio: AAC, 48kHz, 2 Ch | 877 MB
Genre: eLearning | Language: English | November 30, 2018

Dive right into the world of Computer Vision and AI by making five awesome, real-life applications with this hands-on course

The scope of computer vision has been booming in the past few years and it has become a highly sought-after skill. There are tons of real-life problems just waiting to be solved with computer vision. If you want to get your hands dirty with this technology and use it to craft your own, unique solutions, then look no further because this course is made for you!
The course is designed so you'll learn as you develop interesting apps. First you'll learn to set up your environment, before building five exciting applications. We'll introduce you to all necessary concepts and slowly transition into the field of Artificial Intelligence (AI) and deep learning such as classification and object detection.
This course will not only help you use OpenCV 4 but also apply your computer vision and AI skills to your projects. All you need is a basic working knowledge of Python and you're good to go!

The code bundle for the video course is available at -
Style and Approach
The best way to learn something new in programming is to start building as soon as possible and learning the topic as you develop. This is the exact approach we follow in this course. A hands-on, practical approach ensures that the course is never boring and you learn through interactive examples and apps. All the necessary information is conveyed as and when required, with an emphasis on where to apply it in real life.

Table of Contents
GETTING THE ENVIRONMENT SET UP
BUILDING A MOTION DETECTOR
BUILDING A HAND DETECTOR
BUILDING A SMART VIDEO PLAYER
BUILDING AN OBJECT DETECTOR WITH DEEP LEARNING
BUILDING AN OCR APP

What You Will Learn
Get a solid introduction and foundation to Computer Vision
Build real-time apps that deal with image and video processing
Extract information from images and videos
Explore the vastness of deep learning with images and videos
Build an Optical Character Recognition (OCR) engine from scratch
Train your own face recognition system
Create your own real-time object classifier