#!/usr/bin/env python # -*- coding: utf-8 -*- # # Copyright (c) 2022 Intel Corporation # # 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. # # SPDX-License-Identifier: Apache-2.0 # import abc class BaseDataset(abc.ABC): """ Abstract base class for a dataset used for training and evaluation """ def __init__(self, dataset_dir, dataset_name=None, dataset_catalog=None): """ Class constructor """ self._dataset_dir = dataset_dir self._dataset_name = dataset_name self._dataset_catalog = dataset_catalog @property def dataset_name(self): """ Name of the dataset """ return self._dataset_name @property def dataset_dir(self): """ Host directory containing the dataset files """ return self._dataset_dir @property def dataset_catalog(self): """ The string name of the dataset catalog (or None) """ return self._dataset_catalog @property @abc.abstractmethod def dataset(self): """ The framework dataset object """ pass @property @abc.abstractmethod def train_subset(self): """ A subset of the dataset used for training """ pass @property @abc.abstractmethod def validation_subset(self): """ A subset of the dataset used for validation/evaluation """ pass @property @abc.abstractmethod def test_subset(self): """ A subset of the dataset held out for final testing/evaluation """ pass @abc.abstractmethod def get_batch(self): """ Get a single batch of images and labels from the dataset """ pass