odir.py

# Copyright 2019-2020 Jordi Corbilla. 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.
# ==============================================================================
import numpy as np


def load_data(image_size, index = 0, challenge = 0):
    """Loads the ODIR dataset.

    Returns:
      Tuple of Numpy arrays: `(x_train, y_train), (x_test, y_test)`.

    """

    if index == 0:
        x_train = np.load('odir_training' + '_' + str(image_size) + '.npy')
        y_train = np.load('odir_training_labels' + '_' + str(image_size) + '.npy')
    else:
        x_train = np.load('odir_training' + '_' + str(image_size) + '_' + str(index) + '.npy')
        y_train = np.load('odir_training_labels' + '_' + str(image_size) + '_' + str(index) + '.npy')

    if challenge == 0:
        x_test = np.load('odir_testing'+'_' + str(image_size)+'.npy')
        y_test = np.load('odir_testing_labels'+'_' + str(image_size)+'.npy')
    else:
        x_test = np.load('odir_testing_challenge'+'_' + str(image_size)+'.npy')
        y_test = np.load('odir_testing_labels_challenge'+'_' + str(image_size)+'.npy')

    return (x_train, y_train), (x_test, y_test)