Udemy – Master Computer Vision™ OpenCV4 in Python with Deep Learning 2019-6

Description

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

The training set in front of you will fully prepare you for real projects. You will advance 21 projects while watching this course. For example, while watching this course, you will learn how to draw live drawings using a webcam, identify shapes, find Waldo, single-object tracking using OpenCV, face recognition, and dozens of other techniques and skills. Today, with the advancement of technology, the demands of computer vision learning have increased dramatically.

Items that are taught in this course

Basic knowledge of OpenCV version 4 in Python

Learn how to use in-depth learning using Keras & TensorFlow

Learn the skills and techniques of object detection, motion tracking and analysis

Learn advanced face tracking and recognition using DLIB

Learn how to use Computer Vision to implement interesting ideas

Familiarity and understanding of neural networks and neural stimuli

Master Computer Vision OpenCV4 course specifications in Python

English language

Duration: 10:44:57

Number of lessons: 116

Instructor: Rajeev Ratan

File format: mp4

Topics

Course content 116 lectures 10:44:57

Course Introduction and Setup 9 lectures 30:53

Basics of Computer Vision and OpenCV 8 lectures 43:05

Image Manipulations & Processing 15 lectures 01:01:18

Image Segmentation & Contours 9 lectures 57:17

Object Detection in OpenCV 7 lectures 50:50

Object Detection – Build a Face, People and Car/Vehicle Detectors 3 lectures 22:38

Augmented Reality (AR) – Facial Landmark Identification (Face Swaps) 4 lectures 35:14

Simple Machine Learning using OpenCV 3 lectures 41:01

Object Tracking & Motion Analysis 6 lectures 34:26

Master Computer Vision OpenCV4 in Python Course Content

Computational Photography & Make a License Plate Reader 2 lectures 06:59

Conclusion 2 lectures 09:56

BONUS – Deep Learning Computer Vision 1 – Setup a Deep Learning Virtual Machine 3 lectures 19:06

BONUS – Deep Learning Computer Vision 2 – Introduction to Neural Networks 12 lectures 01:34:02

BONUS – Deep Learning Computer Vision 3 – Convolutional Neural Networks (CNNs) 9 lectures 42:01

BONUS – Deep Learning Computer Vision 4 – Build CNNs in Python using Keras 12 lectures 52:13

BONUS – Deep Learning Computer Vision 5 – Build a Cats vs Dogs Classifier 5 lectures 25:42

BONUS – Build a Credit Card Number Reader 4 lectures 13:58

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

BONUS – Object Detection – Use SSDs (Single Shot Detector) for Detecting Objects 1 lecture 03:34

BONUS – Colorize Black and White Images 1 lecture 02:10

Prerequisites for Master Computer Vision OpenCV4 course in Python

Little to no programming knowledge is needed, but basic programing knowledge will help

Windows 10 or Ubuntu or a MacOS system

A webcam to implement some of the mini projects

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p