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opencv-yolo-qr-detection's Introduction

QR Detection with OpenCV Python and YOLO Model

The samples demonstrate how to detect QR with YOLO and how to decode QR with Dynamsoft Barcode Reader.

Installation

  • OpenCV

    pip install opencv-python
    
  • Dynamsoft Barcode Reader

    pip install dbr
    

Usage

QR Detection

Image file:

python3 opencv-yolo.py

Camera:

python3 opencv-yolo-camera.py

OpenCV YOLO for QR detection

QR Decoding

from dbr import *

reader = BarcodeReader()
# Apply for a trial license: https://www.dynamsoft.com/customer/license/trialLicense
license_key = "LICENSE KEY"
reader.init_license(license_key)
settings = reader.reset_runtime_settings() 
settings = reader.get_runtime_settings()
settings.region_bottom  = bottom
settings.region_left    = left
settings.region_right   = right
settings.region_top     = top
reader.update_runtime_settings(settings)

try:
    text_results = reader.decode_buffer(frame)

    if text_results != None:
        for text_result in text_results:
            print("Barcode Format :")
            print(text_result.barcode_format_string)
            print("Barcode Text :")
            print(text_result.barcode_text)
            print("Localization Points : ")
            print(text_result.localization_result.localization_points)
            print("-------------")
except BarcodeReaderError as bre:
    print(bre)

Image file:

python3 yolo-dbr.py

Camera:

python3 yolo-dbr-camera.py

References

opencv-yolo-qr-detection's People

Contributors

yushulx avatar

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