dogcat.py 1.3 KB
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# Copyright (c) 2019  PaddlePaddle 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.

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import os

import paddle_hub as hub
from paddle_hub.dataset.base_cv_dataset import ImageClassificationDataset


class DogCatDataset(ImageClassificationDataset):
    def __init__(self):
        super(DogCatDataset, self).__init__()
        dataset_path = os.path.join(hub.dir.DATA_HOME, "dog-cat")
        self.base_path = self._download_dataset(
            dataset_path=dataset_path,
            url="https://paddlehub-dataset.bj.bcebos.com/dog-cat.tar.gz")
        self.train_list_file = "train_list.txt"
        self.test_list_file = "test_list.txt"
        self.validate_list_file = "validate_list.txt"
        self.num_labels = 2