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Download ocr-studio/PaddleOCR/paddleocr/_models/_object_detection.py from phucsd/cham-ocr-studio: direct link, hf CLI and curl.
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https://huggingface.co/spaces/phucsd/cham-ocr-studio/resolve/main/ocr-studio/PaddleOCR/paddleocr/_models/_object_detection.py
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hf download hf://spaces/phucsd/cham-ocr-studio/ocr-studio/PaddleOCR/paddleocr/_models/_object_detection.py
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curl -L -o _object_detection.py https://huggingface.co/spaces/phucsd/cham-ocr-studio/resolve/main/ocr-studio/PaddleOCR/paddleocr/_models/_object_detection.py
2.76 kB
| # Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import abc | |
| from .._utils.cli import ( | |
| add_simple_inference_args, | |
| get_subcommand_args, | |
| perform_simple_inference, | |
| str2bool, | |
| ) | |
| from .base import PaddleXPredictorWrapper, PredictorCLISubcommandExecutor | |
| class ObjectDetection(PaddleXPredictorWrapper): | |
| def __init__( | |
| self, | |
| *, | |
| img_size=None, | |
| threshold=None, | |
| layout_nms=None, | |
| layout_unclip_ratio=None, | |
| layout_merge_bboxes_mode=None, | |
| **kwargs, | |
| ): | |
| self._extra_init_args = { | |
| "img_size": img_size, | |
| "threshold": threshold, | |
| "layout_nms": layout_nms, | |
| "layout_unclip_ratio": layout_unclip_ratio, | |
| "layout_merge_bboxes_mode": layout_merge_bboxes_mode, | |
| } | |
| super().__init__(**kwargs) | |
| def _get_extra_paddlex_predictor_init_args(self): | |
| return self._extra_init_args | |
| class ObjectDetectionSubcommandExecutor(PredictorCLISubcommandExecutor): | |
| def _update_subparser(self, subparser): | |
| add_simple_inference_args(subparser) | |
| subparser.add_argument( | |
| "--img_size", | |
| type=int, | |
| help="Input image size (w, h).", | |
| ) | |
| subparser.add_argument( | |
| "--threshold", | |
| type=float, | |
| help="Threshold for filtering out low-confidence predictions.", | |
| ) | |
| subparser.add_argument( | |
| "--layout_nms", | |
| type=str2bool, | |
| help="Whether to use layout-aware NMS.", | |
| ) | |
| subparser.add_argument( | |
| "--layout_unclip_ratio", | |
| type=float, | |
| help="Ratio of unclipping the bounding box.", | |
| ) | |
| subparser.add_argument( | |
| "--layout_merge_bboxes_mode", | |
| type=str, | |
| help="Mode for merging bounding boxes.", | |
| ) | |
| def wrapper_cls(self): | |
| raise NotImplementedError | |
| def execute_with_args(self, args): | |
| params = get_subcommand_args(args) | |
| perform_simple_inference(self.wrapper_cls, params) | |