[英]How to convert a PDF to grayscale in Python
是否可以使用 Python 庫將 PDF 文件轉換為其灰度等效文件? 我試過ghostscript模塊:
import locale
from io import BytesIO
import ghostscript as gs
ENCO = locale.getpreferredencoding()
STDOUT = BytesIO()
STDERR = BytesIO()
with open('adob_in.pdf', 'r') as infile:
ARGS = f"""DUMMY -sOutputFile=adob_out.pdf -sDEVICE=pdfwrite
-sColorConversionStrategy=Gray -dProcessColorModel=/DeviceGray
-dNOPAUSE -dBATCH {infile.name}"""
ARGSB = [arg.encode(ENCO) for arg in ARGS.split()]
gs.Ghostscript(*ARGSB, stdout=STDOUT, stderr=STDERR)
print(STDOUT.getvalue().decode(ENCO))
print(STDERR.getvalue().decode(ENCO))
標准輸出和錯誤流是:
GPL Ghostscript 9.52 (2020-03-19)
Copyright (C) 2020 Artifex Software, Inc. All rights reserved.
This software is supplied under the GNU AGPLv3 and comes with NO WARRANTY:
see the file COPYING for details.
Processing pages 1 through 1.
Page 1
不幸的是,灰度 PDF 已損壞。 實際上,使用 Ghostscript 進行調試會顯示以下錯誤:
GPL Ghostscript 9.52 (2020-03-19)
Copyright (C) 2020 Artifex Software, Inc. All rights reserved.
This software is supplied under the GNU AGPLv3 and comes with NO WARRANTY:
see the file COPYING for details.
**** Error: Cannot find a 'startxref' anywhere in the file.
Output may be incorrect.
**** Error: An error occurred while reading an XREF table.
**** The file has been damaged. This may have been caused
**** by a problem while converting or transfering the file.
**** Ghostscript will attempt to recover the data.
**** However, the output may be incorrect.
**** Error: Trailer dictionary not found.
Output may be incorrect.
No pages will be processed (FirstPage > LastPage).
**** This file had errors that were repaired or ignored.
**** Please notify the author of the software that produced this
**** file that it does not conform to Adobe's published PDF
**** specification.
**** The rendered output from this file may be incorrect.
GS>
請注意,字符串ARGS
包含有效的 ghostscript 代碼(在 Linux 命令行中使用GPL Ghostscript 9.52
進行測試)並且ARGSB
只是字符串的相應二進制表示:
print(ARGSB)
[b'DUMMY', b'-sOutputFile=adob_out.pdf', b'-sDEVICE=pdfwrite', b'-sColorConversionStrategy=Gray', b'-dProcessColorModel=/DeviceGray', b'-dNOPAUSE', b'-dBATCH', b'adob_in.pdf']
如何正確完成這項任務? 我的示例輸入和 output 文件可以在這里找到。 非常感謝您提前。
我不知道如何通過 ghostscript 做到這一點,但使用pdf2image和img2pdf的以下代碼可以達到目的:
from os.path import join
from tempfile import TemporaryDirectory
from pdf2image import convert_from_path # https://pypi.org/project/pdf2image/
from img2pdf import convert # https://pypi.org/project/img2pdf/
with TemporaryDirectory() as temp_dir: # Saves images temporarily in disk rather than RAM to speed up parsing
# Converting pages to images
print("Parsing pages to grayscale images. This may take a while")
images = convert_from_path(
"your_pdf_path.pdf",
output_folder=temp_dir,
grayscale=True,
fmt="jpeg",
thread_count=4
)
image_list = list()
for page_number in range(1, len(images) + 1):
path = join(temp_dir, "page_" + str(page_number) + ".jpeg")
image_list.append(path)
images[page_number-1].save(path, "JPEG") # (page_number - 1) because index starts from 0
with open("Gray_PDF.pdf", "bw") as gray_pdf:
gray_pdf.write(convert(image_list))
print("The new page is saved as Gray_PDF.pdf in the current directory.")
帶有灰度圖像的 PDF 文件將在同一目錄下保存為 Gray_PDF.pdf。
說明:以下代碼:
with TemporaryDirectory() as temp_dir: # Saves images temporarily in disk rather than RAM. This speeds up parsing
# Converting pages to images
print("Parsing pages to grayscale images. This may take a while")
images = convert_from_path(
"your_pdf_path.pdf",
output_folder=temp_dir,
grayscale=True,
fmt="jpeg",
thread_count=4
)
執行以下任務:
images
現在下面的代碼:
image_list = list()
for page_number in range(1, len(images) + 1):
path = join(temp_dir, "page_" + str(page_number) + ".jpeg")
image_list.append(path)
images[page_number-1].save(path, "JPEG") # (page_number - 1) because index starts from 0
將圖像再次保存為page_1.jpeg , page_2.jpeg等在同一目錄中。 它還列出了這些新圖像的路徑。
最后,下面的代碼:
with open("Gray_PDF.pdf", "bw") as gray_pdf:
gray_pdf.write(convert(image_list))
從之前創建的灰度圖像中創建一個名為Gray_PDF的 PDF 並將其保存在工作目錄中。
附加提示:如果您想使用 OpenCV 執行更多圖像處理操作,此方法為您提供了很大的靈活性,因為所有頁面現在都是圖像形式。 只需確保所有操作都在第一個with
語句中,即以下內容:
with TemporaryDirectory() as temp_dir: # Saves images temporarily in disk rather than RAM. This speeds up parsing
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