Description
Master Computer Vision OpenCV4 in Python is a set of video tutorials for developing and learning programming languages in the OpenCV training section. What you learn in this course includes mastery of a set of image processing and machine learning programming libraries. In this course, you will master the OpenCV topic using deep learning and the Python programming language. It is also worth noting that the latest version of the OpenCV libraries, version 4, has been used during this period.
The training kit in front of you works great with real projects that are ready to go. You will implement 21 projects while watching this course. For example, watching this session you will learn how to design a live painting using a webcam, invent shapes, find Waldo, single object tracking using OpenCV, face recognition, and dozens of other techniques and skills. Today, with the advent of technology, the requirements for learning computer vision have increased dramatically.
What you will learn in Python Master Computer Vision OpenCV4
- A basic introduction to OpenCV version 4 in Python
- Learn how to use deep learning with Keras & TensorFlow
- Learn skills and techniques for object detection, tracking and motion analysis.
- Learn advanced face tracking and detection with DLIB
- Learn how to use Computer Vision to bring fun ideas to life
- Understanding and Understanding Neural Networks and Neural Stimuli
- And…
Master Computer Vision OpenCV4 in Python Course Specifications
- English
- Duration: 10:44:57
- Number of lessons: 116
- Supervisor: Rajeev Ratan
- File format: mp4
course 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 manipulation and processing
15 lectures 01:01:18
Image segmentation and contours
9 lectures 57:17
Object detection in OpenCV
7 lectures 50:50
Object Detection – Create face, people and car/vehicle detectors
3 lectures 22:38
Augmented Reality (AR) – Face Landmark Detection (Face Swap)
4 lectures 35:14
Simple machine learning with OpenCV
3 lectures 41:01
Object tracking and motion analysis
6 lectures 34:26
Computational photography and making a license plate reader
2 lectures 06:59
Conclusion
2 lectures 9:56
BONUS – Deep Learning Computer Vision 1 – Setting Up a Deep Learning Virtual Machine
3 lectures at 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 – Building CNNs in Python using Keras
12 lectures 52:13
BONUS – Deep Learning Computer Vision 5 – Building a Cat and Dog Classifier
5 lectures 25:42
BONUS – Create 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 Image Detector) to detect objects
1 lecture 03:34
BONUS – Colorize black and white pictures
1 lecture 02:10
Master Computer Vision OpenCV4 Prerequisite in Python
- Little or no programming knowledge is required, but a basic knowledge of programming helps
- Windows 10 or Ubuntu or MacOS system
- A webcam to implement some mini-projects
Pictures
introductory video
installation manual
After extraction, watch with your favorite player.
english subtitles
Quality: 720p
Download link
File password(s): free download software
size
3.20 GB