-
Notifications
You must be signed in to change notification settings - Fork 322
/
Copy path__init__.py
59 lines (53 loc) · 2.76 KB
/
__init__.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
from .dataset import Dataset
from .cityscapes import Cityscapes
from .ade import ADE20K
from .pascal_context import PascalContext
from .vaihingen import Vaihingen
from .trans10k_v2 import Trans10kV2
def get_dataset(config, data_transform, mode='train'):
if config.DATA.DATASET == "PascalContext":
if mode == 'train':
dataset = PascalContext(
transforms=data_transform, dataset_root=config.DATA.DATA_PATH,
num_classes=config.DATA.NUM_CLASSES, mode='train')
elif mode == 'val':
dataset = PascalContext(
transforms=data_transform, dataset_root=config.DATA.DATA_PATH,
num_classes=config.DATA.NUM_CLASSES, mode='val')
elif config.DATA.DATASET == "Cityscapes":
if mode == 'train':
dataset = Cityscapes(
transforms=data_transform, dataset_root=config.DATA.DATA_PATH,
num_classes=config.DATA.NUM_CLASSES, mode='train')
elif mode == 'val':
dataset = Cityscapes(
transforms=data_transform, dataset_root=config.DATA.DATA_PATH,
num_classes=config.DATA.NUM_CLASSES, mode='val')
elif config.DATA.DATASET == "ADE20K":
if mode == 'train':
dataset = ADE20K(
transforms=data_transform, dataset_root=config.DATA.DATA_PATH,
num_classes=config.DATA.NUM_CLASSES, mode='train')
elif mode == 'val':
dataset = ADE20K(
transforms=data_transform, dataset_root=config.DATA.DATA_PATH,
num_classes=config.DATA.NUM_CLASSES, mode='val')
elif config.DATA.DATASET == "Vaihingen":
if mode == 'train':
dataset = Vaihingen(
transforms=data_transform, dataset_root=config.DATA.DATA_PATH,
num_classes=config.DATA.NUM_CLASSES, mode='train')
elif mode == 'val':
dataset = Vaihingen(
transforms=data_transform, dataset_root=config.DATA.DATA_PATH,
num_classes=config.DATA.NUM_CLASSES, mode='val')
elif config.DATA.DATASET == "Trans10kV2":
if mode == 'train':
dataset = Trans10kV2(transforms=data_transform,
dataset_root=config.DATA.DATA_PATH, num_classes=config.DATA.NUM_CLASSES, mode='train')
elif mode == 'val':
dataset = Trans10kV2(transforms=data_transform,
dataset_root=config.DATA.DATA_PATH, num_classes=config.DATA.NUM_CLASSES, mode='val')
else:
raise NotImplementedError("{} dataset is not supported".format(config.DATA.DATASET))
return dataset