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Use joint transform in Cityscapes #1024

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Jun 20, 2019
Merged

Use joint transform in Cityscapes #1024

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0f6b692
Use joint transform in Cityscapes
TheCodez Jun 14, 2019
f6fa580
Add transforms doc
TheCodez Jun 20, 2019
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13 changes: 6 additions & 7 deletions torchvision/datasets/cityscapes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,8 @@ class Cityscapes(VisionDataset):
and returns a transformed version. E.g, ``transforms.RandomCrop``
target_transform (callable, optional): A function/transform that takes in the
target and transforms it.
transforms (callable, optional): A function/transform that takes input sample and its target as entry
and returns a transformed version.

Examples:

Expand Down Expand Up @@ -95,8 +97,8 @@ class Cityscapes(VisionDataset):
]

def __init__(self, root, split='train', mode='fine', target_type='instance',
transform=None, target_transform=None):
super(Cityscapes, self).__init__(root)
transform=None, target_transform=None, transforms=None):
super(Cityscapes, self).__init__(root, transforms, transform, target_transform)
self.transform = transform
self.target_transform = target_transform
self.mode = 'gtFine' if mode == 'fine' else 'gtCoarse'
Expand Down Expand Up @@ -163,11 +165,8 @@ def __getitem__(self, index):

target = tuple(targets) if len(targets) > 1 else targets[0]

if self.transform:
image = self.transform(image)

if self.target_transform:
target = self.target_transform(target)
if self.transforms is not None:
image, target = self.transforms(image, target)

return image, target

Expand Down