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### What problem does this PR solve? Made task_executor async to speedup parsing ### Type of change - [x] Performance Improvement
87 lines
2.5 KiB
Python
87 lines
2.5 KiB
Python
#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import io
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import sys
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import threading
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import pdfplumber
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from .ocr import OCR
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from .recognizer import Recognizer
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from .layout_recognizer import LayoutRecognizer4YOLOv10 as LayoutRecognizer
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from .table_structure_recognizer import TableStructureRecognizer
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LOCK_KEY_pdfplumber = "global_shared_lock_pdfplumber"
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if LOCK_KEY_pdfplumber not in sys.modules:
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sys.modules[LOCK_KEY_pdfplumber] = threading.Lock()
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def init_in_out(args):
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from PIL import Image
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import os
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import traceback
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from api.utils.file_utils import traversal_files
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images = []
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outputs = []
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if not os.path.exists(args.output_dir):
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os.mkdir(args.output_dir)
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def pdf_pages(fnm, zoomin=3):
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nonlocal outputs, images
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with sys.modules[LOCK_KEY_pdfplumber]:
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pdf = pdfplumber.open(fnm)
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images = [p.to_image(resolution=72 * zoomin).annotated for i, p in
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enumerate(pdf.pages)]
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for i, page in enumerate(images):
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outputs.append(os.path.split(fnm)[-1] + f"_{i}.jpg")
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pdf.close()
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def images_and_outputs(fnm):
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nonlocal outputs, images
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if fnm.split(".")[-1].lower() == "pdf":
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pdf_pages(fnm)
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return
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try:
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fp = open(fnm, 'rb')
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binary = fp.read()
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fp.close()
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images.append(Image.open(io.BytesIO(binary)).convert('RGB'))
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outputs.append(os.path.split(fnm)[-1])
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except Exception:
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traceback.print_exc()
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if os.path.isdir(args.inputs):
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for fnm in traversal_files(args.inputs):
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images_and_outputs(fnm)
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else:
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images_and_outputs(args.inputs)
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for i in range(len(outputs)):
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outputs[i] = os.path.join(args.output_dir, outputs[i])
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return images, outputs
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__all__ = [
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"OCR",
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"Recognizer",
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"LayoutRecognizer",
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"TableStructureRecognizer",
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"init_in_out",
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]
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