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13
paddleocr/_utils/__init__.py
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13
paddleocr/_utils/__init__.py
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# 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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72
paddleocr/_utils/cli.py
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paddleocr/_utils/cli.py
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# 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 time
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from .logging import logger
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def str2bool(v, /):
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return v.lower() in ("true", "yes", "t", "y", "1")
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def get_subcommand_args(args):
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args = vars(args).copy()
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args.pop("subcommand")
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args.pop("executor")
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return args
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def add_simple_inference_args(subparser, *, input_help=None):
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if input_help is None:
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input_help = "Input path or URL."
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subparser.add_argument(
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"-i",
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"--input",
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type=str,
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required=True,
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help=input_help,
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)
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subparser.add_argument(
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"--save_path",
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type=str,
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help="Path to the output directory.",
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)
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def perform_simple_inference(wrapper_cls, params, predict_param_names=None):
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params = params.copy()
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input_ = params.pop("input")
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save_path = params.pop("save_path")
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if predict_param_names is not None:
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predict_params = {}
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for name in predict_param_names:
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predict_params[name] = params.pop(name)
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else:
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predict_params = {}
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init_params = params
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wrapper = wrapper_cls(**init_params)
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result = wrapper.predict_iter(input_, **predict_params)
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t1 = time.time()
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for i, res in enumerate(result):
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logger.info(f"Processed item {i} in {(time.time()-t1) * 1000} ms")
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t1 = time.time()
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res.print()
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if save_path:
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res.save_all(save_path)
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42
paddleocr/_utils/deprecation.py
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42
paddleocr/_utils/deprecation.py
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# 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 argparse
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import sys
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import warnings
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from typing_extensions import deprecated as deprecated
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class CLIDeprecationWarning(DeprecationWarning):
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pass
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class DeprecatedOptionAction(argparse.Action):
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def __call__(self, parser, namespace, values, option_string=None):
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assert option_string
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warnings.warn(
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f"The option `{option_string}` has been deprecated and will be removed in the future. Please refer to the documentation for more details.",
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CLIDeprecationWarning,
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)
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setattr(namespace, self.dest, values)
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def warn_deprecated_param(name, new_name=None):
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msg = (
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f"The parameter `{name}` has been deprecated and will be removed in the future."
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)
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if new_name is not None:
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msg += f" Please use `{new_name}` instead."
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warnings.warn(msg, DeprecationWarning, stacklevel=3)
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39
paddleocr/_utils/logging.py
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39
paddleocr/_utils/logging.py
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# 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 logging
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from .._env import DISABLE_AUTO_LOGGING_CONFIG
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LOGGER_NAME = "paddleocr"
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logger = logging.getLogger(LOGGER_NAME)
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def _set_up_logger():
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if DISABLE_AUTO_LOGGING_CONFIG:
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return
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# Basically compatible with PaddleOCR 2.x, except for logging to stderr
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formatter = logging.Formatter(
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"[%(asctime)s] %(name)s %(levelname)s: %(message)s", datefmt="%Y/%m/%d %H:%M:%S"
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)
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stream_handler = logging.StreamHandler()
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stream_handler.setFormatter(formatter)
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logger.addHandler(stream_handler)
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logger.setLevel(logging.ERROR)
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logger.propagate = False
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_set_up_logger()
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