mastering opencv 4 with python pdf download

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Study camera calibration and overlay AR using the ArUco Module.

Understand 3D scene reconstruction and Structure from Motion (SfM).

Work with OpenCV's most updated API (v4.0.0) through projects.

Explore algorithmic design approaches for complex computer vision tasks.

Uncover best practices in engineering and maintaining OpenCV projects.

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Build real-world computer vision problems with working OpenCV code samples.

You'll also go beyond the basics of computer vision to implement solutions for complex image processing projects.īy the end of the book, you will have created various working prototypes with the help of projects in the book and be well versed with the new features of OpenCV4. You'll get acquainted with API functionality and gain insights into design choices in a complete computer vision project.

#Mastering opencv 4 with python pdf download how to#

You'll learn from experienced OpenCV experts how to implement computer vision products and projects both in academia and industry in a comfortable package. Keeping the mathematical formulations to a solid but bare minimum, the book delivers complete projects from ideation to running code, targeting current hot topics in computer vision such as face recognition, landmark detection and pose estimation, and number recognition with deep convolutional networks. Mastering OpenCV, now in its third edition, targets computer vision engineers taking their first steps toward mastering OpenCV.

Create an optical character recognition (OCR) model using deep learning and convolutional neural networks.

Build face detection applications with a cascade classifier using face landmarks.

#Mastering opencv 4 with python pdf download full#

Learn about the new features that help unlock the full potential of OpenCV 4.This is a follow-up to the 'Python Basics' course (course 1 of the Python 3 Programming Specialization), and it is the second of five courses in the specialization.Work on practical computer vision projects covering advanced object detector techniques and modern deep learning and machine learning algorithms Key Features Together, both courses are geared towards newcomers to Python programming, those who need a refresher on Python basics, or those who may have had some exposure to Python programming but want a more in-depth exposition and vocabulary for describing and reasoning about programs. The course is well-suited for you if you have already taken the 'Python Basics' course and want to gain further fundamental knowledge of the Python language. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. This course introduces the dictionary data structure and user-defined functions.

This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.īut it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first. That will give you a great launch toward being an independent Python programmer.

And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.īy the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. You will have lots of opportunities to practice. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance. This specialization teaches the fundamentals of programming in Python 3.