gkonoplya
93b28b1ea2
- Created .gitignore to exclude unnecessary files and directories. - Implemented build_pdf.py for generating PDF labels from Excel data, including barcode rendering. - Added read_image.py for extracting DataMatrix codes from images using zxing-cpp. - Introduced render_eps.py for converting EPS images to PNG format with Ghostscript. - Updated README.md with project overview, features, installation instructions, and usage guidelines. - Included requirements.txt for dependency management. - Added resources for logos and sample Excel template. - Compressed Ghostscript binaries into Ghostscript.zip for easy integration.
36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
import zxingcpp as zxing_cpp
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from PIL import Image
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import base64
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def read_datamatrix_zxing(file_path: str) -> str:
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# Открываем изображение через Pillow
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img = Image.open(file_path)
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# Читаем штрих-код.
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# zxing_cpp.read_barcodes умеет работать напрямую с объектами PIL
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results = zxing_cpp.read_barcodes(img)
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if not results:
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print("Коды не найдены на изображении.")
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return ''
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# Берем первый найденный код
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result = results[0]
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# Извлекаем именно байты (важно для непечатаемых символов GS/FNC1)
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raw_bytes = result.bytes
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# Кодируем байты в Base64
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# b64encode возвращает bytes, поэтому делаем .decode('ascii') для получения строки
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b64_string = base64.b64encode(raw_bytes).decode('ascii')
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return b64_string
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if __name__ == "__main__":
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image_path = "data/output.png"
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data = read_datamatrix_zxing(image_path)
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if data:
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print(f"Успешно прочитано: {data}")
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else:
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print("Код не распознан") |