zxing-cpp

import zxingcpp import cv2 from PIL import Image import numpy as np # --- Example 1: Reading a barcode from an image (requires OpenCV) --- # Create a dummy image with a QR code (in a real scenario, load from file) # For demonstration, we'll generate one and save it def generate_and_save_qr_code(text, filename="test_qr.png"): barcode_obj = zxingcpp.create_barcode(text, zxingcpp.BarcodeFormat.QRCode, ec_level="50%") img_array = barcode_obj.to_image(scale=5) Image.fromarray(img_array).save(filename) print(f"Generated '{filename}' for reading example.") qr_text = "Hello, zxing-cpp!" generate_and_save_qr_code(qr_text) # Read the generated image img = cv2.imread('test_qr.png') if img is not None: results = zxingcpp.read_barcodes(img) if results: for result in results: print(f"\nFound barcode (read):\n Text: '{result.text}'\n Format: {result.format}\n Position: {result.position}") else: print("\nCould not find any barcode in test_qr.png.") else: print("\nError: Could not load test_qr.png for reading.") # --- Example 2: Writing a barcode to an image (requires Pillow) --- text_to_encode = "This is a test from zxing-cpp Python!" barcode_format = zxingcpp.BarcodeFormat.DataMatrix try: # Create a barcode object barcode = zxingcpp.create_barcode( text_to_encode, barcode_format, ec_level="L" # For DataMatrix, 'L' is a common error correction level ) # Convert the barcode to a NumPy array image img_array = barcode.to_image(scale=2) # Scale up for better visibility # Convert NumPy array to PIL Image and save pil_img = Image.fromarray(img_array) output_filename = "output_barcode.png" pil_img.save(output_filename) print(f"\nSuccessfully wrote {barcode_format} barcode to '{output_filename}'") # Optionally, convert to SVG string svg_string = barcode.to_svg(add_quiet_zones=True) svg_filename = "output_barcode.svg" with open(svg_filename, "w") as f: f.write(svg_string) print(f"Successfully wrote {barcode_format} barcode to '{svg_filename}'") except Exception as e: print(f"\nError writing barcode: {e}")