Create logo_dataset.py

ppcls/data/dataloader/logo_dataset.py

+#   Copyright (c) 2021 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 print_function
+
+import io
+import tarfile
+import numpy as np
+from PIL import Image  #all use default backend
+
+import paddle
+from paddle.io import Dataset
+import pickle
+import os
+import cv2
+import random
+
+from .common_dataset import CommonDataset
+
+class LogoDataset(CommonDataset):
+    def _load_anno(self):
+        assert os.path.exists(self._cls_path)
+        assert os.path.exists(self._img_root)
+        self.images = []
+        self.labels = []
+        with open(self._cls_path) as fd:
+            lines = fd.readlines()
+            for l in lines:
+                l = l.strip().split("\t")
+                if l[0] == 'image_id':
+                    continue
+                self.images.append(os.path.join(self._img_root, l[3]))
+                self.labels.append(int(l[1])-1)
+                assert os.path.exists(self.images[-1])
+
+