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https://github.com/PaddlePaddle/PaddleOCR.git
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c0bb8c4faa
* Fix docs * update performance * update performance * Fix docs * update performance * update performance * Update docs * Update tensorrt docs * update performance * update performance * update performance * update performance * update performance * modify chart recognition * modify seal recognition * Add resource notice * Fix mcp docs * Fix doc * Fix name * update performance * Fix docs * Fix docs * Refactor MCP server docs --------- Co-authored-by: Bobholamovic <mhlin425@whu.edu.cn> Co-authored-by: Bobholamovic <bob1998425@hotmail.com>
59 lines
1.7 KiB
Python
59 lines
1.7 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 .._utils.cli import (
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add_simple_inference_args,
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get_subcommand_args,
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perform_simple_inference,
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)
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from .base import PaddleXPredictorWrapper, PredictorCLISubcommandExecutor
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class ImageClassification(PaddleXPredictorWrapper):
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def __init__(
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self,
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*,
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topk=None,
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**kwargs,
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):
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self._extra_init_args = {
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"topk": topk,
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}
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super().__init__(**kwargs)
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def _get_extra_paddlex_predictor_init_args(self):
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return self._extra_init_args
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class ImageClassificationSubcommandExecutor(PredictorCLISubcommandExecutor):
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def _update_subparser(self, subparser):
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add_simple_inference_args(subparser)
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subparser.add_argument(
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"--topk",
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type=int,
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help="Top-k value for prediction results.",
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)
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@property
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@abc.abstractmethod
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def wrapper_cls(self):
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raise NotImplementedError
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def execute_with_args(self, args):
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params = get_subcommand_args(args)
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perform_simple_inference(self.wrapper_cls, params)
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