Segments, classifies and extracts barcode images from larger images containing one or more barcodes.
Barberchop is a library for detecting and extracting barcodes from images using neural networks trained for object detection or segmentation. Once these barcodes are extracted they can then be passed along to other libraries for image enhancement and decoding.
Barberchop uses the custom trained models using datasets of images with barcodes in them.
Use the package manager pip to install barberchop.
pip install barberchopimport cv2
from Barberchop.ExtractionService import BarberchopYoloService
service = BarberchopYoloService()
img = cv2.imread('barberchop/src/test.png')
results = service.extract(img)
print(f"Found {len(results)} barcodes")
for barcode in results:
cv2.imshow("barcode", barcode.image)
cv2.waitKey(1000)- Object Detection based Extraction using Yolov5
- Image Segmentation based Extraction
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
MIT
Copyright 2021 Sparkfish LLC
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