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77 lines
2.2 KiB
77 lines
2.2 KiB
# 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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import copy |
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import traceback |
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from ...utils.registry import Registry, build_from_config |
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LOAD_PIPELINE = Registry("LOAD_PIPELINE") |
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TRANSFORMS = Registry("TRANSFORM") |
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PREPROCESS = Registry("PREPROCESS") |
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class Compose(object): |
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""" |
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Composes several transforms together use for composing list of transforms |
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together for a dataset transform. |
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Args: |
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functions (list[callable]): List of functions to compose. |
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Returns: |
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A compose object which is callable, __call__ for this Compose |
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object will call each given :attr:`transforms` sequencely. |
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""" |
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def __init__(self, functions): |
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self.functions = functions |
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def __call__(self, datas): |
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for func in self.functions: |
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try: |
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datas = func(datas) |
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except Exception as e: |
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stack_info = traceback.format_exc() |
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print("fail to perform fuction [{}] with error: " |
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"{} and stack:\n{}".format(func, e, str(stack_info))) |
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raise RuntimeError |
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return datas |
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def build_preprocess(cfg): |
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preproccess = [] |
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if not isinstance(cfg, (list, tuple)): |
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cfg = [cfg] |
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for cfg_ in cfg: |
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process = build_from_config(cfg_, PREPROCESS) |
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preproccess.append(process) |
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preproccess = Compose(preproccess) |
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return preproccess |
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def build_transforms(cfg): |
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transforms = [] |
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for trans_cfg in cfg: |
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temp_trans_cfg = copy.deepcopy(trans_cfg) |
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name = temp_trans_cfg.pop('name') |
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transforms.append(TRANSFORMS.get(name)(**temp_trans_cfg)) |
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transforms = Compose(transforms) |
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return transforms
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