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46 lines
1.4 KiB
46 lines
1.4 KiB
# 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 io |
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import tarfile |
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import numpy as np |
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from PIL import Image #all use default backend |
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import paddle |
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from paddle.io import Dataset |
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import pickle |
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import os |
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import cv2 |
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import random |
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from .common_dataset import CommonDataset |
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class LogoDataset(CommonDataset): |
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def _load_anno(self): |
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assert os.path.exists(self._cls_path) |
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assert os.path.exists(self._img_root) |
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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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for l in lines: |
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l = l.strip().split("\t") |
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if l[0] == 'image_id': |
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continue |
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self.images.append(os.path.join(self._img_root, l[3])) |
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self.labels.append(np.int64(l[1]) - 1) |
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assert os.path.exists(self.images[-1])
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