Udemy - Master Computer Vision™ OpenCV4 in Python with Deep Learning 2019-6/2020-3 - Downloadlee

Description

Master Computer Vision OpenCV4 in Python is the name of a set of video tutorials on developing and learning programming languages in the OpenCV training section. What you learn in this course includes mastering a set of image processing and machine learning programming libraries. In this course, you will master the subject of OpenCV with the help of Deep Learning and Python programming language. It is also worth noting that during this period the latest version of the OpenCV libraries, version 4, has been used.

The training set placed before you will work perfectly with ready-made real projects. Following this course you will implement 21 projects. For example, while watching this session you will learn how to design a live painting using a webcam, detect shapes, find Waldo, single object tracking using OpenCV, facial recognition, and dozens of other techniques and skills. Today, with the advent of technology, the demand for learning computer vision has increased dramatically.

What you’ll learn to master computer vision OpenCV4 in Python

Basic Introduction to OpenCV Version 4 in Python
Learn to use deep learning using Keras and Tensorflow
Learn the skills and techniques of object recognition, tracking, and motion analysis
Learn Advanced Face Tracking and Detection Using DLIB
Learn to use computer vision to implement fun ideas
Understanding and Understanding Neural Networks and Neural Stimulations
And…

Master Computer Vision OpenCV4 in Python Course Specifications

english language
Duration: 10:44:57
Number of Lessons: 116
Instructor: Rajiv Ratan
File Format: mp4

course subject

course content
116 lecture 10:44:57

Course Introduction and Setup
9 lecture 30:53

Basics of Computer Vision and OpenCV
8 lecture 43:05

Image Manipulation and Processing
15 lectures 01:01:18

Image Segmentation and Shapes
9 lecture 57:17

Object Detection in OpenCV
7 lectures 50:50

Object Detection – Create a face, people, and car/vehicle detector
3 lecture 22:38

Augmented Reality (AR) – Historical facial recognition (face swapping)
4 lecture 35:14

Simple Machine Learning using OpenCV
3 lectures 41:01

Object Tracking & Motion Analysis
6 lecture 34:26

Computational photography and create a license plate reader
2 lectures 06:59

conclusion
2 Lecture 9:56

Bonus – Deep Learning Computer Vision 1 – Setup of Deep Learning Virtual Machine
3rd lecture 19:06

Bonus – Deep Learning Computer Vision 2 – Introduction to Neural Networks
12 Lecture 01:34:02

Bonus – Deep Learning Computer Vision 3 – Convolutional Neural Networks (CNN)
9 lecture 42:01

Bonus – Deep Learning Computer Vision 4 – Build a CNN in Python using Keras
12 lectures 52:13

Bonus – Deep Learning Computer Vision 5 – Build a Cats vs Dogs Classifier
5 lecture 25:42

Bonus – Build a Credit Card Number Reader
4 Lecture 13:58

Bonus – Neural Style Transfer with OpenCV
1 lecture 02:14

Bonus – Object Detection – Use SSD (Single Shot Detector) to detect objects
1 lecture 03:34

Bonus – Colorize black and white pictures
1 lecture 02:10

Prerequisites of Master Computer Vision OpenCV4 in Python

Little or no programming knowledge required, but basic programming knowledge will help
Windows 10 or Ubuntu or MacOS system
A webcam to implement some small projects