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56 lines
2.1 KiB
56 lines
2.1 KiB
5 years ago
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# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
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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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# ==============================================================================
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"""A factory-pattern class which returns classification image/label pairs."""
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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 datasets import cifar10
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from datasets import imagenet
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from datasets import pascalvoc_2007
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from datasets import pascalvoc_2012
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datasets_map = {
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'cifar10': cifar10,
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'imagenet': imagenet,
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'pascalvoc_2007': pascalvoc_2007,
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'pascalvoc_2012': pascalvoc_2012,
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}
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def get_dataset(name, split_name, dataset_dir, file_pattern=None, reader=None):
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"""Given a dataset name and a split_name returns a Dataset.
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Args:
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name: String, the name of the dataset.
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split_name: A train/test split name.
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dataset_dir: The directory where the dataset files are stored.
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file_pattern: The file pattern to use for matching the dataset source files.
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reader: The subclass of tf.ReaderBase. If left as `None`, then the default
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reader defined by each dataset is used.
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Returns:
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A `Dataset` class.
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Raises:
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ValueError: If the dataset `name` is unknown.
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"""
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if name not in datasets_map:
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raise ValueError('Name of dataset unknown %s' % name)
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return datasets_map[name].get_split(split_name,
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dataset_dir,
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file_pattern,
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reader)
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