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71 lines
2.3 KiB
71 lines
2.3 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
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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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import random
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from paddle.v2.image import load_and_transform
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import paddle.v2 as paddle
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from multiprocessing import cpu_count
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def train_mapper(sample):
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'''
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map image path to type needed by model input layer for the training set
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'''
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img, label = sample
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img = paddle.image.load_image(img)
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img = paddle.image.simple_transform(img, 256, 224, True)
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return img.flatten().astype('float32'), label
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def test_mapper(sample):
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'''
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map image path to type needed by model input layer for the test set
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'''
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img, label = sample
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img = paddle.image.load_image(img)
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img = paddle.image.simple_transform(img, 256, 224, True)
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return img.flatten().astype('float32'), label
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def train_reader(train_list, buffered_size=1024):
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def reader():
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with open(train_list, 'r') as f:
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lines = [line.strip() for line in f]
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for line in lines:
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img_path, lab = line.strip().split('\t')
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yield img_path, int(lab)
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return paddle.reader.xmap_readers(train_mapper, reader,
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cpu_count(), buffered_size)
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def test_reader(test_list, buffered_size=1024):
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def reader():
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with open(test_list, 'r') as f:
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lines = [line.strip() for line in f]
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for line in lines:
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img_path, lab = line.strip().split('\t')
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yield img_path, int(lab)
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return paddle.reader.xmap_readers(test_mapper, reader,
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cpu_count(), buffered_size)
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if __name__ == '__main__':
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#for im in train_reader('train.list'):
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# print len(im[0])
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#for im in train_reader('test.list'):
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# print len(im[0])
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paddle.dataset.cifar.train10()
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