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import pdfplumber
from .ocr import OCR
from .recognizer import Recognizer
from .layout_recognizer import LayoutRecognizer
from .table_structure_recognizer import TableStructureRecognizer
def init_in_out(args):
from PIL import Image
import os
import traceback
from deepdoc.utils.file_utils import traversal_files
images = []
outputs = []
if not os.path.exists(args.output_dir):
os.mkdir(args.output_dir)
def pdf_pages(fnm, zoomin=3):
nonlocal outputs, images
pdf = pdfplumber.open(fnm)
images = [p.to_image(resolution=72 * zoomin).annotated for i, p in
enumerate(pdf.pages)]
for i, page in enumerate(images):
outputs.append(os.path.split(fnm)[-1] + f"_{i}.jpg")
def images_and_outputs(fnm):
nonlocal outputs, images
if fnm.split(".")[-1].lower() == "pdf":
pdf_pages(fnm)
return
try:
images.append(Image.open(fnm))
outputs.append(os.path.split(fnm)[-1])
except Exception as e:
traceback.print_exc()
if os.path.isdir(args.inputs):
for fnm in traversal_files(args.inputs):
images_and_outputs(fnm)
else:
images_and_outputs(args.inputs)
for i in range(len(outputs)): outputs[i] = os.path.join(args.output_dir, outputs[i])
return images, outputs |