mirror of
https://github.com/PaddlePaddle/PaddleOCR.git
synced 2025-07-29 11:50:15 +00:00
3d03ca5500
* Init new paddleocr * Remove unused dependency * Fix typos * Fix * Add doc understanding modules * Fix package finding * Normalize name * Fix setting bugs * Fix setting bug * Support single model inference * Add PP-ChatOCRv4-doc * Add pp_chatocrv4_doc tests * Enable MKL-DNN when available * add seal_text_detection modules * add layout_detection and table_cells_detection modules * add testing scripts * Fix desc * add text_image_unwarping and table_structure_recognition modules * add formula_recognition and doc_vlm modules * update formula_recognition default_model_name * add MKLDNN_BLOCKLIST * update MKLDNN log * add seal rec pipeline * fix sth * fix sth * add doc preprocessor pipeline * fix sth * add doc understanding * add table_rec_v2, ppstructurev3, formula_rec pipelines * move test files * forward kwargs to pipeline.predict * clean test files * Add missing kwargs * Fix typo * Fix typo * rerun CI * update mkldnn BLOCKLIST * update * update warning message * fix cli args * update PIPELINE_MKLDNN_BLOCKLIST * update of workflow * skip resource_intensive tests * update config * skip ppdocbee test_predict_params --------- Co-authored-by: zhangyue66 <zhangyue66@baidu.com> Co-authored-by: zhangzelun <zhangzelun@baidu.com>
104 lines
3.3 KiB
Python
104 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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import abc
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from paddlex import create_predictor
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from .._abstract import CLISubcommandExecutor
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from .._common_args import (
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add_common_cli_args,
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parse_common_args,
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prepare_common_init_args,
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)
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from .._mkldnn_blocklists import MODEL_MKLDNN_BLOCKLIST
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from ..utils.logging import logger
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_DEFAULT_ENABLE_HPI = False
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class PaddleXPredictorWrapper(metaclass=abc.ABCMeta):
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def __init__(
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self,
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*,
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model_name=None,
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model_dir=None,
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**common_args,
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):
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super().__init__()
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self._model_name = (
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model_name if model_name is not None else self.default_model_name
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)
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self._model_dir = model_dir
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if (
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common_args.get("enable_mkldnn", None) is None
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and self._model_name in MODEL_MKLDNN_BLOCKLIST
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):
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logger.warning(
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f"oneDNN will be disabled for the {repr(self._model_name)} model."
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)
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common_args["enable_mkldnn"] = False
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self._common_args = parse_common_args(
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common_args, default_enable_hpi=_DEFAULT_ENABLE_HPI
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)
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self.paddlex_predictor = self._create_paddlex_predictor()
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@property
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@abc.abstractmethod
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def default_model_name(self):
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raise NotImplementedError
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def predict(self, *args, **kwargs):
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result = []
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for res in self.paddlex_predictor.predict(*args, **kwargs):
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result.append(res)
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return result
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@classmethod
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@abc.abstractmethod
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def get_cli_subcommand_executor(cls):
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raise NotImplementedError
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def _get_extra_paddlex_predictor_init_args(self):
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return {}
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def _create_paddlex_predictor(self):
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kwargs = prepare_common_init_args(self._model_name, self._common_args)
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kwargs = {**self._get_extra_paddlex_predictor_init_args(), **kwargs}
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# Should we check model names?
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return create_predictor(
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model_name=self._model_name, model_dir=self._model_dir, **kwargs
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)
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class PredictorCLISubcommandExecutor(CLISubcommandExecutor):
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@property
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@abc.abstractmethod
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def subparser_name(self):
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raise NotImplementedError
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def add_subparser(self, subparsers):
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subparser = subparsers.add_parser(name=self.subparser_name)
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subparser.add_argument("--model_name", type=str, help="Name of the model.")
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subparser.add_argument(
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"--model_dir", type=str, help="Directory where the model is stored."
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)
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add_common_cli_args(subparser, default_enable_hpi=_DEFAULT_ENABLE_HPI)
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self._update_subparser(subparser)
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return subparser
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@abc.abstractmethod
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def _update_subparser(self, subparser):
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raise NotImplementedError
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