Home>Courses>Using Python for Reading and Writing Optical Labels

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.

Beginner

31 Lessons

Certificate of Completion

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.

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Explanations

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This course includes

1 Project

38 Playgrounds

7 Quizzes

Course Overview

What You'll Learn

Course Content

Recommendations

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...Show More

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

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

Course Content

Introduction to Machine-Readable Optical Labels

2 Lessons

Get familiar with machine-readable optical labels, their types, applications, and industry benefits.

Introduction to the Course

An Overview of Machine-Readable Labels

An Overview of Barcodes

3 Lessons

Look at the evolution and uses of 1D and 2D barcodes.

Basics of 1D Barcodes

Basics of 2D Barcodes

Quiz: An Overview of Barcodes

Reading and Writing 1D Barcodes With Python

3 Lessons

Work your way through creating and reading 1D barcodes using Python libraries.

Writing Various Barcodes with Python

Reading Various Barcodes with Python

Quiz: Reading and Writing 1D Barcodes with Python

Reading and Writing 2D Barcodes With Python

4 Lessons

Apply your skills to creating and interpreting various 2D barcodes with Python libraries.

Reading and Writing QR Codes

Reading and Writing Data Matrix Codes

Reading and Writing PDF417 Codes

Quiz: Reading and Writing 2D Barcodes with Python

Creating Fiduciary Markers With Python

4 Lessons

Map out the steps for creating and implementing fiduciary markers using OpenCV for precise positioning.

Basics of Fiduciary Markers

Creating Single ArUco Markers and AprilTags with OpenCV

Creating a Page of ArUco Markers With OpenCV

Quiz: Creating Fiduciary Markers with Python

Reading Fiduciary Markers With Python

5 Lessons

Tackle reading and improving detection of fiduciary markers using Python and OpenCV techniques.

Basics of Reading Fiduciary Markers

Calibrating Our Camera with OpenCV

Reading ArUco Markers and AprilTags

Improving Marker Detection

Quiz: Reading Fiduciary Markers with Python

Fiduciary Marker Use Cases

3 Lessons

Build on Python techniques to measure distances and create AR with ArUco markers.

Find Distances Between the Camera and Markers

Augmented Reality with ArUco Markers

Quiz: Fiduciary Marker Use Cases

Build a User Interface With Gradio For Reading Barcodes

3 Lessons

Try out building a user-friendly barcode reader with Gradio, pyzbar, and OpenCV.

Getting Started with Gradio for Python

Creating a UI for Reading Barcodes

Quiz: Build a User Interface with Gradio for Reading Barcodes

Build a Barcode Writing Application with Python

Project

10.

Roundup

2 Lessons

Solve challenges with optical label generation, reading using Python, and continuous learning.

Conclusion

Where to Go from Here

11.

Appendix

2 Lessons

Work your way through setting up and utilizing Python libraries for optical labels.

References

Installing the Python Libraries

Course Author

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