75 lines
2.9 KiB
Python
75 lines
2.9 KiB
Python
# Copyright (c) 2021 PaddlePaddle 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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from __future__ import print_function
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import numpy as np
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import os
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from .common_dataset import CommonDataset
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class ImageNetDataset(CommonDataset):
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"""ImageNetDataset
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Args:
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image_root (str): image root, path to `ILSVRC2012`
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cls_label_path (str): path to annotation file `train_list.txt` or `val_list.txt`
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transform_ops (list, optional): list of transform op(s). Defaults to None.
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delimiter (str, optional): delimiter. Defaults to None.
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relabel (bool, optional): whether do relabel when original label do not starts from 0 or are discontinuous. Defaults to False.
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"""
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def __init__(self,
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image_root,
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cls_label_path,
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transform_ops=None,
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delimiter=None,
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relabel=False):
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self.delimiter = delimiter if delimiter is not None else " "
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self.relabel = relabel
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super(ImageNetDataset, self).__init__(image_root, cls_label_path,
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transform_ops)
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def _load_anno(self, seed=None):
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assert os.path.exists(
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self._cls_path), f"path {self._cls_path} does not exist."
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assert os.path.exists(
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self._img_root), f"path {self._img_root} does not exist."
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self.images = []
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self.labels = []
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with open(self._cls_path) as fd:
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lines = fd.readlines()
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if self.relabel:
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label_set = set()
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for line in lines:
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line = line.strip().split(self.delimiter)
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label_set.add(np.int64(line[1]))
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label_map = {
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oldlabel: newlabel
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for newlabel, oldlabel in enumerate(label_set)
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}
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if seed is not None:
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np.random.RandomState(seed).shuffle(lines)
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for line in lines:
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line = line.strip().split(self.delimiter)
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self.images.append(os.path.join(self._img_root, line[0]))
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if self.relabel:
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self.labels.append(label_map[np.int64(line[1])])
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else:
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self.labels.append(np.int64(line[1]))
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assert os.path.exists(self.images[
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-1]), f"path {self.images[-1]} does not exist." |