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.

Reading _ Writing Machine-Readable Optical Labels with Python .jpg

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Course

Gradio

Gradio-2

Gradio-3

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.

Using Python for Reading and Writing Optical Labels

To encode data into a Data Matrix barcode, we can do as in the following example:





from pylibdmtx.pylibdmtx import encode 
from PIL import Image, ImageDraw

data = 'educative'.encode('utf8')

encoded = encode(data)
img = Image.frombytes('RGB', (encoded.width, encoded.height), encoded.pixels)  

img.save('output/dmtx.png')

**Lines 1–2:** First, we import the `encode()` from the `pylibdmtx` library and the `Image` and `ImageDraw` classes from the Pillow library.

 **Line 4:** Then, we can encode the `data`. For this example, we’ll encode the name of our course platform, `educative`. From the documentation of the library, it seems to be recommended to encode the data string as `utf-8`. Nevertheless, we could experiment with other encodings here.

**Lines 6–7:** Next, we encode the data using the `encode()` function. The result is then used to create an image using the `Image` class from Pillow.

**Line 9:** Finally, the image is saved to a PNG file.

Learn how to read and write Data Matrix barcodes using the pylibdmtx library for Python.

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

Fiduciary Marker Use Cases

Build a User Interface With Gradio For Reading Barcodes

Build a Barcode Writing Application with Python

Roundup

Appendix

Reading and Writing Data Matrix Codes

Writing data to the Data Matrix