Best OpenCV books & Best OpenCV courses in 2021

Best OpenCV Books 2021

Best OpenCV Courses 2021


Best OpenCV Tutorials 2021

Computer Vision Basics

By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret the world as humans do, by learning core concepts of the field and receiving an introduction to human vision capabilities. They are equipped to identify some key application areas of computer vision and understand the digital imaging process. The course covers crucial elements that enable computer vision: digital signal processing, neuroscience and artificial intelligence. Topics include color, light and image formation; early, mid- and high-level vision; and mathematics essential for computer vision. Learners will be able to apply mathematical techniques to complete computer vision tasks.

This course is ideal for anyone curious about or interested in exploring the concepts of computer vision. It is also useful for those who desire a refresher course in mathematical concepts of computer vision. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration) and basic probability (random variables).

Material includes online lectures, videos, demos, hands-on exercises, project work, readings and discussions. Learners gain experience writing computer vision programs through online labs using MATLAB* and supporting toolboxes.

Computer Vision

Learn cutting-edge computer vision and deep learning techniques—from basic image processing, to building and customizing convolutional neural networks. Apply these concepts to vision tasks such as automatic image captioning and object tracking, and build a robust portfolio of computer vision projects.

Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs

You have certainly heard of AI and Deep Learning. But when you ask yourself where do I stand in relation to this new industrial revolution, it might lead you to another fundamental question: am I a consumer or a designer? For most people these days, the answer would be, a consumer.

But what if you could also become a creator?

What if there was a way for you to easily enter the world of artificial intelligence and create amazing apps that take advantage of the latest technology to make the world a better place?

Sounds too good to be true, doesn’t it?

But there is actually a way.

Computer vision is by far the easiest way to become a designer.

And it’s not only the easiest way, it’s also the branch of AI where there is the most to build.

Why? You will ask.

It is because computer vision is applied everywhere. From healthcare to retail to entertainment, the list goes on. Computer vision is already an $ 18 billion market and growing exponentially.

Just think of tumor detection in MRI brain scans of patients. How many lives are saved every day just because a computer can analyze 10,000 times more images than a human?

What if you found an industry where computer vision is not yet applied? Well fine! This means that there is a business opportunity that you can take advantage of.

So now this begs the question: how do you enter the world of computer vision?

Until now, computer vision has been for the most part a maze. A growing labyrinth.

As the number of codes, libraries and tools in CV increases, it becomes more and more difficult not to get lost.

In addition to that, you should not only know how to use it, but also know how it works to maximize the benefits of computer vision.

To this problem we want to bring …

Computer vision A-Z.

With this brand new course, you will not only learn how the most popular computer vision methods work, but you will also learn how to apply them in practice!

You will learn:

Have a toolbox of the most powerful computer vision models
Understand the theory behind computer vision
OpenCV Master
Master object detection
Primary facial recognition
Create powerful computer vision applications

This is the best OpenCV course in 2021.

Master Computer Vision™ OpenCV4 in Python with Deep Learning

Why learn computer vision in Python with OpenCV?

Computer vision applications and technology are exploding right now! With several apps and industries making amazing use of technology, billion dollar apps like Pokémon GO, Snapchat and upcoming apps like MSQRD and PRISMA.

Even Facebook, Google, Microsoft, Apple, Amazon and Tesla all use computer vision extensively for face and object recognition, image search and especially in self-driving cars!

As a result, the demand for computer vision expertise is increasing exponentially!

However, learning computer vision is difficult! Existing online tutorials, manuals, and free MOOCs are often outdated, use older incompatible libraries, or are too theoretical, making them difficult to understand.

This was my problem when learning computer vision and it got incredibly frustrating. Even just running sample code that I found online proved difficult because libraries and functions were often out of date.

I’ve created this course to teach you all the key concepts without the heavy math theory while using the most up-to-date methods.

I take a very hands-on approach, using over 50 code examples.

By the end of the course, you will be able to create 12 awesome computer vision applications using OpenCV in Python.

I am using OpenCV which is the best supported open source computer vision library out there today! Using it in Python is just fantastic because Python allows us to focus on the problem at hand without getting bogged down in complex code.

If you are a university or college student, I always point you in the right direction if you want to learn more by linking the research papers on the techniques we use.

So, if you want to get a great foundation in computer vision, look no further.

This is the course for you!

In this course, you will experience the power of OpenCV in Python and gain skills to dramatically increase your career prospects as a computer vision developer.

You benefit from over 3 hours of in-depth computer vision learning with Keras, which includes:

A free virtual machine with all Python Deep Learning libraries such as Keras and TensorFlow preinstalled

Detailed Explanation of Neural Networks and Convolutional Neural Networks

Understand how Keras works and how to use and create image datasets

Create a handwritten digit classifier

Create a multi-image classifier

Building a cats vs dogs classifier

Understand how to improve CNN performance using data augmentation

Extract and sort credit card numbers

You will learn

Understand and use OpenCV4 in Python
How to use Deep Learning with Keras and TensorFlow in Python
Create face detectors and recognizers and create your own advanced face permutations using DLIB
Object detection, motion tracking and analysis
Create augmented reality applications
Programming skills such as basic Python and Numpy
How to Use Computer Vision to Execute Cool Startup Ideas
Understanding Neural and Convolutional Neural Networks
Learn how to create simple image classifiers in Python
Learn how to create an OCR reader for credit cards
Learn How To Perform Neural Style Transfer Using OpenCV
Learn how to do multi-object detection in OpenCV (up to 90 objects!) Using SSD (single shot detector)
Learn how to convert black and white images to color using Caffe
Learn how to create Automatic License Plate Recognition (ALPR)
Learn the basics of computer vision and image processing

Best OpenCV Books 2021

Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection

Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision...
  • Millan Escriva, David (Author)
  • English (Publication Language)
  • 538 Pages - 03/26/2019 (Publication Date) - Packt Publishing (Publisher)

OpenCV is one of the best open source libraries available and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation.

This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you’ll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you’ll learn to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch.

What you will learn:

Stay up-to-date with algorithmic design approaches for complex computer vision tasks
Work with OpenCV’s most up-to-date API through various projects
Understand 3D scene reconstruction and Structure from Motion (SfM)
Study camera calibration and overlay augmented reality (AR) using the ArUco module
Create CMake scripts to compile your C++ application
Explore segmentation and feature extraction techniques
Remove backgrounds from static scenes to identify moving objects for surveillance
Work with new OpenCV functions to detect and recognize text with Tesseract

Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library

Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library
  • O\'Reilly Media
  • Kaehler, Adrian (Author)
  • English (Publication Language)
  • 1024 Pages - 01/24/2017 (Publication Date) - O'Reilly Media (Publisher)

Get started with the fast expanding field of computer philosophy with this simple guide. Written by Adrian Kehler and Gary Bradsky, creators of the open source OpenCV Library, the book provides a wide range of roles for developers, educators, robotics and hobbyists. You can learn what it takes to create applications that allow computers to “see” and make decisions based on that data. With more than 500 activities across many fields of philosophy, OpenCV is used for commercial applications such as protection, medical imaging, face and shape recognition, robotics and factory product inspections. This book gives you a solid foundation in computer vision and openness for creating simple or sophisticated vision applications. The practical exercises in each chapter help you apply what you have learned. This modern sculpture with machine learning tools for computer vision covers the entire library in its modern C ++ implementation.

Learn about OpenCV data types, array types and array activities
Capture and store still images and videos with HighGUI
Convert images to enlarge, shrink, distort, rebuild, and repair
Explore pattern recognition with face recognition
Track objects and movements through visual fields
Reconstruct 3D images from stereo vision
Discover OpenCV’s basic and advanced machine learning techniques

Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition

Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms...
  • Howse, Joseph (Author)
  • English (Publication Language)
  • 372 Pages - 02/20/2020 (Publication Date) - Packt Publishing (Publisher)

Updated to OpenCV4 and Python 3, the book covers the latest in depth cameras, 3D tracking, advanced reality and deep neural networks, a practical code to help you solve real-world computer vision problems. Computer vision is a rapidly evolving science that includes a variety of applications and techniques. This book will help not only those who are new to computer vision, but also experts in the field. You will be able to put the theory into practice by creating applications with OpenCV4 and Python3. Computer vision is a rapidly evolving science that encompasses various applications and techniques. This book will help not only those new to computer vision, but also experts in the field. You can put the theory into practice by building applications with OpenCV 4 and Python 3.

You will start by understanding OpenCV 4 and how to configure it with Python 3 on different platforms. Next, you will learn to perform basic operations such as reading, writing, manipulating, and viewing still images, videos, and camera streams. Whether it’s to guide you through image processing, video analysis, depth estimation, and segmentation, or to help you get some practice building a GUI application, this book has you covered with hands-on activities. Next, you will tackle two popular challenges: Face Detection and Face Recognition. You will also learn about the concepts of object classification and machine learning, allowing you to create and use object detectors and classifiers, and even track objects in film or video camera broadcasts. Subsequently, you will develop your skills in 3D tracking and augmented reality. Finally, you will tackle ANN and DNN, and learn how to develop applications to recognize handwritten numbers and classify a person’s gender and age.

By the end of this book, you will have the skills you need to do real-world computer vision projects.
What you are going to learn

Install and familiarize yourself with the OpenCV 4 Python 3 bindings
Understand the basics of image processing and video analysis.
Use a depth camera to distinguish the foreground and background regions
Detect and identify objects and track their movement in videos
Train and use your own models to match pictures and classify objects
Detect and recognize faces and classify their gender and age.
Create an augmented reality application to follow a 3D image
Work with machine learning models including SVM, artificial neural networks (ANN), and deep neural networks (DNN).

OpenCV 4 Computer Vision Application Programming Cookbook: Build complex computer vision applications with OpenCV and C++, 4th Edition

OpenCV 4 Computer Vision Application Programming Cookbook: Build complex computer vision...
  • Millan Escriva, David (Author)
  • English (Publication Language)
  • 494 Pages - 05/03/2019 (Publication Date) - Packt Publishing (Publisher)

Discover great recipes to help you understand the concepts of object detection, image processing and facial recognition. Look for the latest features and APIs of OpenCV4 and create computer vision algorithms. Create an efficient, powerful, and secure vision for your applications. Create computer vision algorithms with machine learning capabilities. OpenCV is an image and video processing library used for all types of image and video analysis. Throughout the book, you will work on recipes that perform a variety of tasks, such as facial recognition and identification. With 70 tutorials alone, this book examines common weakness points and best practices for computer vision (CV) developers. Each recipe addresses a specific problem and offers a proven solution and best practice with information on how it works, so you can copy the code and configuration files and modify them according to your needs.

SaleBestseller No. 1
Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library
  • O\'Reilly Media
  • Kaehler, Adrian (Author)
  • English (Publication Language)
  • 1024 Pages - 01/24/2017 (Publication Date) - O'Reilly Media (Publisher)
Bestseller No. 2
OpenCV 4 Computer Vision Application Programming Cookbook: Build complex computer vision...
  • Amazon Kindle Edition
  • Millán Escrivá, David (Author)
  • English (Publication Language)
  • 496 Pages - 05/03/2019 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 3
OpenCV 3 Computer Vision with Python Cookbook: Leverage the power of OpenCV 3 and Python to build...
  • Amazon Kindle Edition
  • Spizhevoi, Aleksei (Author)
  • English (Publication Language)
  • 306 Pages - 03/23/2018 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 4
Computer Vision with OpenCV 3 and Qt5: Build visually appealing, multithreaded, cross-platform...
  • Tazehkandi, Amin Ahmadi (Author)
  • English (Publication Language)
  • 486 Pages - 01/02/2018 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 5
ELEGOO UNO Project Super Starter Kit with Tutorial and UNO R3 Compatible with Arduino IDE
  • Free PDF tutorial(more than 22 lessons) and clear listing in a nice package
  • The most economical kit based on Arduino platform to starting programming for those beginners who...
  • Lcd1602 module with pin header (not need to be soldered by yourself)
  • This is the upgraded starter kits with power supply module, 9V battery with dc
  • High quality kit with UNO R3. 100% compatible with Arduino UNO R3, MEGA 2560 R3, NANO.
Bestseller No. 6
NVIDIA Jetson Nano Developer Kit (945-13450-0000-100)
  • The NVIDIA Jetson Nano Developer Kit delivers the compute performance to run modern AI workloads at...
  • The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to...
  • Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux...
  • The same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully...
Bestseller No. 7
Freenove Ultimate Starter Kit for Raspberry Pi 4 B 3 B+ 400, 434-Page Detailed Tutorials, Python C...
  • 3 programing languages -> C, Python (compatible with 2&3) and Java.
  • 434-page detailed tutorials (including basic electronics knowledge) -> The download link can be...
  • 223 items for 57 interesting projects -> Each project has a circuit diagram and tested code with...
  • Compatible models -> Raspberry Pi 400 / 4B / 3B+ / 3B / 3A+ / 2B / 1B+ / 1A+ / Zero W / Zero. (NOT...
  • Get support -> Our technical support team is always ready to answer your questions.
Bestseller No. 8
TOPS/Oxford 1-Subject Notebooks, 8" x 10-1/2", College Rule, 70 Sheets, 6 Pack, Color Assortment May...
  • A CLASSROOM CLASSIC: this 6-pack of 1-subject notebooks helps you identify your subjects at a glance...
  • THE RIGHT RULING: these 8" x 10-1/2", college-ruled notebooks fit more writing per page than...
  • PERFECT PERFORATION: Dependable micro perforated sheets retain your must-have notes but still detach...
  • GLIDE FROM PAGE TO PAGE: Your favorite gel or ballpoint pens will move effortlessly across these...
  • 3-HOLE PUNCHED: Every notebook comes 3-hole punched to fit a standard binder; take along one...
Bestseller No. 9
Yahboom Raspberry Pi Project AI Robot for Adults Programmable Visual Robotice with HD Camera...
  • With the advent of Pi 4B and Jetson Nano, artificial intelligence is a new direction for many...
  • Based on OpenCV as main core. Pi-motion camera platform is equipped with hardware control, voice...
  • Robot kit Visual platform is equipped with an A.I expansion board designed for the Raspberry Pi. It...
  • The surface of the aluminum alloy is oxidized and blasted. In addition to the aluminum alloy, it is...
  • Raspberry Pi kit is easy to install and does not require soldering. The app developed by Yahboom is...
SaleBestseller No. 10
Klein Tools NCVT2P NCVT2P Dual Range Non Contact Voltage Tester, 12-1000V AC Pen, Flashing LED and...
  • Non contact voltage tester's dual-range capabilities allow tester to detect from 12 to 1000 V AC or...
  • Electrical voltage tester detects voltage with simultaneous visual and audible indicators
  • Non-contact detection of low voltage in security, entertainment, communications, environmental...
  • Green light indicates no voltage
  • Lightweight, compact tool with pocket clip provides convenient storage and quick access
SaleBestseller No. 11
Mead Spiral Notebooks, 1 Subject, College Ruled Paper, 70 Sheets, Colored Note Books, Lined Paper,...
  • Perfect to use for 1 subject, this spiral notebook comes in handy for your favorite class or any...
  • With 70 college ruled, double sided sheets, there’s plenty of notetaking space. Pages are...
  • Notebook is 3 hole punched for storage in your favorite binder. This allows you to keep all your...
  • Spiral binding will not snag and resists uncoiling to keep your notes together. Notebook covers are...
  • Sheets measure 10 1/2 Inches x 7 1/2 Inches when torn out. Overall size of 10 1/2 Inches x 8 Inches....
SaleBestseller No. 12
KAIWEETS Voltage Tester/Non-Contact Voltage Tester with Dual Range AC 12V-1000V/48V-1000V, Live/Null...
  • SAFETY FIRST: It will send out multiple alarms through sound and light. When the voltage is...
  • NON-CONTACT: With NCV inductive probe for AC voltage; Just place the tip near a terminal strip,...
  • DUAL RANGE: Detects standard and low voltage (12-1000V AC / 48-1000V AC) for more sensitive and...
  • SECURITY LEVEL: IEC rated CAT III 1000V CAT IV 600V, Meets CE requirements; The electrical tester is...
  • COMPACT DESIGN: Bright LED flashlight for work in dim ares; Low-Power-Indicator when battery voltage...
Bestseller No. 13
CUPUZ 3D Paper Puzzle, 3 Assorted Cars, 3D Cardboard Model Car kit, DIY Set for Child, Educational...
  • 1.3D cars puzzle world! 3 colores cars that the wheels of the puzzle can rotatable, The door can...
  • 2.THIS 3D PUZZLE features a lot of details with 344 pieces of different colors, shapes, and sizes,...
  • 3.Accompany your child to complete it, Hand-picked to help spark creativity and let children have...
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Bestseller No. 14
Conikus Wooden Pattern Tangram Magnetic Puzzle,Wooden Tangram Puzzle Book Toys for 3 4 5 6 7 8 Year...
  • ● EDUCATIONAL BLOCKS SET FOR KIDS: The Conikus Magnetic Tangram comes with a magnetic board...
  • ● HANDY CARRYING CASE: The book carrying case is fairly sturdy, and the board design is great -- a...
  • ● EASY-TO-GRASP MAGNET IC PIECES: Our magnetic shapes activity box features easy-to-grasp magnet s...
  • ● GREAT GIFT FOR AGES 3+: The Conikus Magnetic Wooden Puzzle Set makes an exceptional gift for...
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Bestseller No. 15
Photo Album Scrapbook, Our Adventure Book, DIY Handmade Album Scrapbook Movie Up Travel Scrapbook...
  • SCRAPBOOK PHOTO ALBUM: 10.3"L x 7"W. 20 sheets(40 pages) to hold over 100 photos. Large photo album...
  • BLANK SCRAPBOOK ALBUM: high quality thick pages, you can diy photos any way you want
  • SCRAPBOOK PAGES: hard cardboard cover, superior pages, non-fading, thick craft paper.
  • PERFECT GIFT IDEA: very stylish and classy way to present and share photos, memories. Great gift for...
  • TRAVELLING SCRAPBOOK: our adventure book, great for recording travelling memories.
SaleBestseller No. 16
Furinno Pasir 4 Tier Open Shelf, Espresso
  • Simple stylish design yet functional and suitable for any room
  • Material: Manufactured from Engineered particle board.
  • Fits in your space, fits on your budget. Holds up to 25 Pounds per shelf
  • Sturdy on flat surface. Assembly Required.
  • Product dimension: 23.6 (W)x9.4(D)x41.7(H) inches
Bestseller No. 17
Adams Account Book, 7 x 9.25 Inches, Black, 3-Columns, 80 Pages (ARB8003M)
  • Hard bound, permanent storage columnar account books are made with acid-free paper
  • 3-columns
  • High gloss cover with foil stamp title and spine
  • Includes place marking ribbon
  • White paper
SaleBestseller No. 18
HiCoup Kitchenware Wine Openers - Corkscrew Bottle Openers, Foil Cutter Key for Waiters, Bartenders
  • Designed with an elegant and ergonomic handle, these durable, stainless steel wine bottle opener...
  • Our specially designed corkscrews for wine bottles cleanly remove natural and synthetic cork in 5...
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Bestseller No. 19
Ashley Productions ASH10700 Hardcover Blank Book, 6" Wide, 8" Length, White
  • Motivate children to write and illustrate their own book or game.
  • Great for young authors, gifts, classroom memories, self accomplishment and more!
  • Use with crayons, markers, pens, pencils, and other writing utensils.
  • Measures 6" x 8", portrait style.
  • Each book includes 14 sheets/28 pages.
Bestseller No. 20
Adeept Smart Robot Car Starter Kit for Raspberry Pi 4 3 Model B B+ 2B Voice Recognition OpenCV...
  • 🌟 STEM Educational Robot - A complete AI Robot Kit (Artificial Intelligence) based on the...
  • 🌟 Speech Recognition - PiCar-B can be controlled by language. Object detection and tracking -...
  • 🌟 EASY TO INSTALL AND ENCODED - A 81 page PDF guide with illustrations is carefully created for...
  • 🌟 We provide technical support. If you encounter any technical problems, please send us an email...