/opencv-yolo-qr-detection

Primary LanguagePythonMIT LicenseMIT

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