This course includes
Course Overview
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 use...
TAKEAWAY SKILLS
Python 3
Opencv
Python Programming
Computervision
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
What You'll Learn
Familiarity with the most common 1D and 2D barcodes and fiduciary markers
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Course Content
Introduction to Machine-Readable Optical Labels
An Overview of Barcodes
Reading and Writing 1D Barcodes With Python
Reading and Writing 2D Barcodes With Python
Creating Fiduciary Markers With Python
Reading Fiduciary Markers With Python
5 Lessons
Fiduciary Marker Use Cases
3 Lessons
Build a User Interface With Gradio For Reading Barcodes
3 Lessons
Course Author
Trusted by 1.4 million developers working at companies
Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
Carlos Matias La Borde
Software Developer
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
Eric Downs
Musician/Entrepeneur
Kenan Eyvazov
DevOps Engineer
Souvik Kundu
Front-end Developer
Eric Downs
Musician/Entrepeneur
Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
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