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										 |  |  | # copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve. | 
					
						
							|  |  |  | # | 
					
						
							|  |  |  | # 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. | 
					
						
							|  |  |  | from __future__ import absolute_import | 
					
						
							|  |  |  | from __future__ import division | 
					
						
							|  |  |  | from __future__ import print_function | 
					
						
							|  |  |  | from __future__ import unicode_literals | 
					
						
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							|  |  |  | from .iaa_augment import IaaAugment | 
					
						
							|  |  |  | from .make_border_map import MakeBorderMap | 
					
						
							|  |  |  | from .make_shrink_map import MakeShrinkMap | 
					
						
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										 |  |  | from .random_crop_data import EastRandomCropData, RandomCropImgMask | 
					
						
							|  |  |  | from .make_pse_gt import MakePseGt | 
					
						
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										 |  |  | from .rec_img_aug import RecAug, RecResizeImg, ClsResizeImg, SRNRecResizeImg, NRTRRecResizeImg, SARRecResizeImg | 
					
						
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										 |  |  | from .randaugment import RandAugment | 
					
						
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										 |  |  | from .copy_paste import CopyPaste | 
					
						
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										 |  |  | from .ColorJitter import ColorJitter | 
					
						
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										 |  |  | from .operators import * | 
					
						
							|  |  |  | from .label_ops import * | 
					
						
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										 |  |  | from .east_process import * | 
					
						
							|  |  |  | from .sast_process import * | 
					
						
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										 |  |  | from .pg_process import * | 
					
						
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										 |  |  | from .gen_table_mask import * | 
					
						
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							|  |  |  | def transform(data, ops=None): | 
					
						
							|  |  |  |     """ transform """ | 
					
						
							|  |  |  |     if ops is None: | 
					
						
							|  |  |  |         ops = [] | 
					
						
							|  |  |  |     for op in ops: | 
					
						
							|  |  |  |         data = op(data) | 
					
						
							|  |  |  |         if data is None: | 
					
						
							|  |  |  |             return None | 
					
						
							|  |  |  |     return data | 
					
						
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							|  |  |  | 
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							|  |  |  | def create_operators(op_param_list, global_config=None): | 
					
						
							|  |  |  |     """
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							|  |  |  |     create operators based on the config | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     Args: | 
					
						
							|  |  |  |         params(list): a dict list, used to create some operators | 
					
						
							|  |  |  |     """
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							|  |  |  |     assert isinstance(op_param_list, list), ('operator config should be a list') | 
					
						
							|  |  |  |     ops = [] | 
					
						
							|  |  |  |     for operator in op_param_list: | 
					
						
							|  |  |  |         assert isinstance(operator, | 
					
						
							|  |  |  |                           dict) and len(operator) == 1, "yaml format error" | 
					
						
							|  |  |  |         op_name = list(operator)[0] | 
					
						
							|  |  |  |         param = {} if operator[op_name] is None else operator[op_name] | 
					
						
							|  |  |  |         if global_config is not None: | 
					
						
							|  |  |  |             param.update(global_config) | 
					
						
							|  |  |  |         op = eval(op_name)(**param) | 
					
						
							|  |  |  |         ops.append(op) | 
					
						
							|  |  |  |     return ops |