add ade20k dataset

dygraph/datasets/__init__.py

@@ -16,9 +16,11 @@ from .dataset import Dataset
 from .optic_disc_seg import OpticDiscSeg
 from .cityscapes import Cityscapes
 from .voc import PascalVOC
+from .ade import ADE20K
 
 DATASETS = {
     "OpticDiscSeg": OpticDiscSeg,
     "Cityscapes": Cityscapes,
-    "PascalVOC": PascalVOC
+    "PascalVOC": PascalVOC,
+    "ADE20K": ADE20K
 }

dygraph/datasets/ade.py

+# Copyright (c) 2020 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.
+
+import os
+
+from .dataset import Dataset
+from utils.download import download_file_and_uncompress
+
+DATA_HOME = os.path.expanduser('~/.cache/paddle/dataset')
+URL = "https://paddleseg.bj.bcebos.com/dataset/ADEChallengeData2016.zip"
+
+
+class ADE20K(Dataset):
+    """ADE20K dataset `http://sceneparsing.csail.mit.edu/`.
+    Args:
+        data_dir: The dataset directory.
+        mode: Which part of dataset to use.. it is one of ('train', 'val'). Default: 'train'.
+        transforms: Transforms for image.
+        download: Whether to download dataset if data_dir is None.
+    """
+
+    def __init__(self,
+                 data_dir=None,
+                 mode='train',
+                 transforms=None,
+                 download=True):
+        self.data_dir = data_dir
+        self.transforms = transforms
+        self.mode = mode
+        self.file_list = list()
+        self.num_classes = 21
+
+        if mode.lower() not in ['train', 'val']:
+            raise Exception(
+                "mode should be one of ('train', 'val') in PascalVOC dataset, but got {}."
+                .format(mode))
+
+        if self.transforms is None:
+            raise Exception("transforms is necessary, but it is None.")
+
+        if self.data_dir is None:
+            if not download:
+                raise Exception("data_dir not set and auto download disabled.")
+            self.data_dir = download_file_and_uncompress(
+                url=URL,
+                savepath=DATA_HOME,
+                extrapath=DATA_HOME,
+                extraname='ADEChallengeData2016')
+
+        if mode == 'train':
+            img_dir = os.path.join(self.data_dir, 'images/training')
+            grt_dir = os.path.join(self.data_dir, 'annotations/training')
+        elif mode == 'val':
+            img_dir = os.path.join(self.data_dir, 'images/validation')
+            grt_dir = os.path.join(self.data_dir, 'annotations/validation')
+        img_files = os.listdir(img_dir)
+        grt_files = [i.replace('.jpg', '.png') for i in img_files]
+        for i in range(len(img_files)):
+            img_path = os.path.join(img_dir, img_files[i])
+            grt_path = os.path.join(grt_dir, grt_files[i])
+            self.file_list.append([img_path, grt_path])

dygraph/datasets/voc.py

@@ -57,7 +57,6 @@ class PascalVOC(Dataset):
                 savepath=DATA_HOME,
                 extrapath=DATA_HOME,
                 extraname='VOCdevkit')
-            print(self.data_dir)
 
         image_set_dir = os.path.join(self.data_dir, 'VOC2012', 'ImageSets',
                                      'Segmentation')