/
githubmirror
/
models
Обзор
Документация
Войти
/
githubmirror
/
models
Код
Запросы
0
Пакеты
0
Релизы
0
Аналитика
Безопасность
master
research/object_detection/core/data_parser.py
45 строк
2 KB
pkulzc
Object detection changes: (#7208)
15 июл 2019, 19:50
Не верифицирован
15 июл 2019, 19:50
fe748d4
Код
Авторство
О чём код?
# Copyright 2017 The TensorFlow 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. # ============================================================================== """Interface for data parsers. Data parser parses input data and returns a dictionary of numpy arrays keyed by the entries in standard_fields.py. Since the parser parses records to numpy arrays (materialized tensors) directly, it is used to read data for evaluation/visualization; to parse the data during training, DataDecoder should be used. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function from abc import ABCMeta from abc import abstractmethod import six class DataToNumpyParser(six.with_metaclass(ABCMeta, object)): """Abstract interface for data parser that produces numpy arrays.""" @abstractmethod def parse(self, input_data): """Parses input and returns a numpy array or a dictionary of numpy arrays. Args: input_data: an input data Returns: A numpy array or a dictionary of numpy arrays or None, if input cannot be parsed. """ pass