Using Python for Reading and Writing Optical Labels

Gain insights into using Python to read and write optical labels, explore 1D and 2D barcodes, and fiduciary markers for augmented reality, and discover relevant Python libraries and applications.

31 Lessons

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Machine-readable optical labels are visual representations of data that machines can read and interpret. These labels, often composed of simple geometric shapes or lines, are designed to encode various kinds of information, such as product details or reference numbers. In this course, you’ll be introduced to Python-based reading and writing of 1D and 2D barcodes and fiduciary markers. You’ll then learn the practical applications of barcodes and fiduciary markers in augmented reality and the creation of user interfaces for reading barcodes. Next, you’ll learn about different Python libraries and their usage to process different optical labels. By the end of the course, you’ll be proficient in using Python for handling barcodes and fiduciary markers. You’ll also have hands-on experience installing and using different Python libraries to manipulate optical labels.

Machine-readable optical labels are visual representations of data that machines can read and interpret. These labels, often com...Show More

WHAT YOU'LL LEARN

Familiarity with the most common 1D and 2D barcodes and fiduciary markers

Ability to use Python for reading and writing barcodes and fiduciary markers

Basic working knowledge of how to use fiduciary markers for practical applications, including AR

Knowledge of how to build simple user interfaces for reading barcodes

Hands-on experience applying Python libraries to read and write different types of optical labels

Familiarity with the most common 1D and 2D barcodes and fiduciary markers

TAKEAWAY SKILLS

Python 3

openCV

Python Programming

computerVision

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Course Author:

Jes Fink-Jensen

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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