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132 lines
3.3 KiB
Python
132 lines
3.3 KiB
Python
# Copyright (c) 2025 PaddlePaddle 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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from paddlex.inference.utils.benchmark import benchmark
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from ._models import (
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ChartParsing,
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DocImgOrientationClassification,
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DocVLM,
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FormulaRecognition,
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LayoutDetection,
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SealTextDetection,
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TableCellsDetection,
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TableClassification,
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TableStructureRecognition,
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TextDetection,
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TextImageUnwarping,
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TextLineOrientationClassification,
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TextRecognition,
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)
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from ._pipelines import (
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DocPreprocessor,
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DocUnderstanding,
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FormulaRecognitionPipeline,
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PaddleOCR,
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PaddleOCRVL,
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PPChatOCRv4Doc,
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PPDocTranslation,
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PPStructureV3,
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SealRecognition,
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TableRecognitionPipelineV2,
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)
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from ._api_client.async_client import AsyncPaddleOCRClient
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from ._api_client.client import PaddleOCRClient
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from ._api_client.errors import (
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APIError,
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AuthError,
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InvalidRequestError,
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JobFailedError,
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NetworkError,
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PaddleOCRAPIError,
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PollTimeoutError,
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RateLimitError,
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RequestTimeoutError,
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ResponseFormatError,
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ResultParseError,
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ServiceUnavailableError,
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)
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from ._api_client.models import (
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Model,
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OCROptions,
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PaddleOCRVLOptions,
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PPStructureV3Options,
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)
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from ._utils.logging import logger
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from ._version import version as __version__
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def doc2md_convert(source, **kwargs):
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"""Convert an office document to Markdown. See paddleocr._doc2md.convert."""
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from ._doc2md import convert
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return convert(source, **kwargs)
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def doc2md_supported_formats():
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"""Return supported file extensions. See paddleocr._doc2md.supported_formats."""
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from ._doc2md import supported_formats
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return supported_formats()
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__all__ = [
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"benchmark",
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"PaddleOCRClient",
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"AsyncPaddleOCRClient",
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"Model",
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"OCROptions",
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"PPStructureV3Options",
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"PaddleOCRVLOptions",
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"ChartParsing",
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"DocImgOrientationClassification",
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"DocVLM",
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"FormulaRecognition",
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"SealTextDetection",
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"LayoutDetection",
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"TableCellsDetection",
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"TableClassification",
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"TableStructureRecognition",
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"TextDetection",
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"TextImageUnwarping",
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"TextLineOrientationClassification",
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"TextRecognition",
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"DocPreprocessor",
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"DocUnderstanding",
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"FormulaRecognitionPipeline",
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"PaddleOCR",
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"PaddleOCRVL",
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"PPChatOCRv4Doc",
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"PPDocTranslation",
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"PPStructureV3",
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"SealRecognition",
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"TableRecognitionPipelineV2",
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"doc2md_convert",
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"doc2md_supported_formats",
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"PaddleOCRAPIError",
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"AuthError",
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"InvalidRequestError",
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"APIError",
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"JobFailedError",
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"RateLimitError",
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"RequestTimeoutError",
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"PollTimeoutError",
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"ResponseFormatError",
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"ResultParseError",
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"ServiceUnavailableError",
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"NetworkError",
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"logger",
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"__version__",
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]
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