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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 topic of OpenCV with the help of Deep Learning and the Python programming language. It is also worth noting that the latest version of OpenCV libraries, version 4, has been used during this period.

The training set in front of you will work perfectly with real projects ready. You will carry out 21 projects while watching this course. For example, you will learn how to design live painting using the webcam, figure out shapes, find Waldo, single object tracking using OpenCV, face recognition, and dozens of other techniques and skills while watching this session. Today, with the advent of technology, the demands of computer vision learning have increased dramatically.

Courses taught in this course:

  • Basic introduction to OpenCV version 4 in Python
  • Learn how to use deep learning using Keras & TensorFlow
  • Learn the skills and techniques of object recognition, tracking and motion analysis
  • Learn advanced face tracking and detection using DLIB
  • Learn how to use Computer Vision to implement fun ideas
  • Understanding and understanding neural networks and neural stimuli
  • And…

Master Computer Vision OpenCV4 course specifications in Python

  • English language
  • Duration: 10:44:57
  • Number of lessons: 116
  • Instructor: Rajeev Ratan
  • File format: mp4

Course headings

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

2 lectures 9:56

BONUS – Deep Learning Computer Vision 1 – Setup of 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

Prerequisite of Master Computer Vision OpenCV4 in Python

  • Little to no programming knowledge is needed, but basic programming knowledge will help
  • Windows 10 or Ubuntu or a MacOS system
  • A webcam to implement some of the mini projects


Master Computer Vision OpenCV4 in Python

Sample movie

Installation guide

View with your favorite Player after Extract.

English subtitle

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 202 MB

File password (s):


3.20 GB

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