mirror of
https://github.com/PaddlePaddle/PaddleOCR.git
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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>
101 lines
3.4 KiB
Python
101 lines
3.4 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 ..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 TextDetection(PaddleXPredictorWrapper):
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def __init__(
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self,
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*,
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limit_side_len=None,
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limit_type=None,
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thresh=None,
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box_thresh=None,
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unclip_ratio=None,
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input_shape=None,
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**kwargs,
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):
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self._extra_init_args = {
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"limit_side_len": limit_side_len,
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"limit_type": limit_type,
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"thresh": thresh,
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"box_thresh": box_thresh,
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"unclip_ratio": unclip_ratio,
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"input_shape": input_shape,
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}
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super().__init__(**kwargs)
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@property
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def default_model_name(self):
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return "PP-OCRv4_mobile_det"
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@classmethod
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def get_cli_subcommand_executor(cls):
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return TextDetectionSubcommandExecutor()
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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 TextDetectionSubcommandExecutor(PredictorCLISubcommandExecutor):
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@property
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def subparser_name(self):
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return "text_detection"
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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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"--limit_side_len",
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type=int,
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help="This sets a limit on the side length of the input image for the model.",
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)
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subparser.add_argument(
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"--limit_type",
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type=str,
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help="This determines how the side length limit is applied to the input image before feeding it into the model.",
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)
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subparser.add_argument(
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"--thresh",
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type=float,
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help="Detection pixel threshold for the model. Pixels with scores greater than this threshold in the output probability map are considered text pixels.",
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)
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subparser.add_argument(
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"--box_thresh",
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type=float,
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help="Detection box threshold for the model. A detection result is considered a text region if the average score of all pixels within the border of the result is greater than this threshold.",
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)
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subparser.add_argument(
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"--unclip_ratio",
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type=float,
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help="Expansion coefficient, which expands the text region using this method. The larger the value, the larger the expansion area.",
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)
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subparser.add_argument(
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"--input_shape",
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nargs=3,
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type=int,
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metavar=("C", "H", "W"),
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help="Input shape of the model.",
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)
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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(TextDetection, params)
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