https://github.com/floscha/2d-barcode-reader

A Python/OpenCV-based barcode reader for 2D barcode markers
https://github.com/floscha/2d-barcode-reader

barcode opencv python

Last synced: 3 months ago
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A Python/OpenCV-based barcode reader for 2D barcode markers

• Host: GitHub
• URL: https://github.com/floscha/2d-barcode-reader
• Owner: floscha
• License: mit
• Created: 2018-01-07T16:20:24.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2022-06-21T22:31:16.000Z (over 2 years ago)
• Last Synced: 2024-07-30T17:16:52.536Z (6 months ago)
• Topics: barcode, opencv, python
• Language: Python
• Size: 66.4 KB
• Stars: 9
• Watchers: 2
• Forks: 3
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
![barcode reader logo](logo.png)

# 2D Barcode Reader

[![Build Status](https://travis-ci.org/floscha/2d-barcode-reader.svg?branch=master)](https://travis-ci.org/floscha/2d-barcode-reader)

[![Codacy Badge](https://api.codacy.com/project/badge/Grade/d85fb6267312422baa08c6c8385da846)](https://www.codacy.com/app/floscha/2d-barcode-reader?utm_source=github.com&utm_medium=referral&utm_content=floscha/2d-barcode-reader&utm_campaign=Badge_Grade)

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

A Python/OpenCV-based barcode reader for 2D barcode markers.

## Example

Assume we have an image containing one or several markers like the one below:

![clean marker](example/clean_marker.png)

To extract the marker(s) we can use the following script similar to the [example reader](example/example_reader.py):

```python

import cv2

from barcode_reader import MarkerDetector

image_path = 'clean_marker.png'

frame = cv2.imread(image_path, cv2.IMREAD_COLOR)

if frame is None:

    raise ValueError("Image could not be read")

detector = MarkerDetector(min_contour_length_allowed=10000)

detected_markers = detector.process_frame(frame)

print("%d markers detected:" % len(detected_markers))

for marker in detected_markers:

    print(marker.points)

```

This outputs the detected contour(s).

```

2 markers detected:

[[119.43042755 120.34486389]

 [380.50708008 120.37145233]

 [380.46075439 379.82989502]

 [119.41880798 379.66653442]]

[[119.43190002 120.3412323 ]

 [380.51220703 120.37619019]

 [380.45599365 379.8331604 ]

 [119.41361237 379.66433716]]

```

Also, when debugging is enabled, it draws-in the contours like shown below:

![marker with contours](example/debug.png)