68 lines
2.2 KiB
Python
68 lines
2.2 KiB
Python
# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
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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 __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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from .iaa_augment import IaaAugment
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from .make_border_map import MakeBorderMap
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from .make_shrink_map import MakeShrinkMap
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from .random_crop_data import EastRandomCropData, RandomCropImgMask
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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 *
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from .label_ops import *
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from .east_process import *
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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):
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""" transform """
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if ops is None:
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ops = []
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for op in ops:
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data = op(data)
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if data is None:
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return None
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return data
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def create_operators(op_param_list, global_config=None):
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"""
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create operators based on the config
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Args:
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params(list): a dict list, used to create some operators
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"""
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assert isinstance(op_param_list, list), ('operator config should be a list')
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ops = []
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for operator in op_param_list:
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assert isinstance(operator,
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dict) and len(operator) == 1, "yaml format error"
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op_name = list(operator)[0]
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param = {} if operator[op_name] is None else operator[op_name]
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if global_config is not None:
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param.update(global_config)
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op = eval(op_name)(**param)
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ops.append(op)
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return ops
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