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Commit 833335da authored by André Anjos's avatar André Anjos :speech_balloon:
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[all] Passed black on all python files

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1 merge request!12Streamlining
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with 150 additions and 166 deletions
......@@ -7,13 +7,10 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
Crop(0,108,2336,3296)
,ToTensor()
])
transforms = Compose([Crop(0, 108, 2336, 3296), ToTensor()])
# bob.db.dataset init
bobdb = HRF(protocol = 'default')
bobdb = HRF(protocol="default")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='test', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="test", transform=transforms)
......@@ -7,15 +7,17 @@ from bob.ip.binseg.data.imagefolder import ImageFolder
#### Config ####
# add your transforms below
transforms = Compose([
CenterCrop((544,544))
,RandomHFlip()
,RandomVFlip()
,RandomRotation()
,ColorJitter()
,ToTensor()
])
transforms = Compose(
[
CenterCrop((544, 544)),
RandomHFlip(),
RandomVFlip(),
RandomRotation(),
ColorJitter(),
ToTensor(),
]
)
# PyTorch dataset
path = '/path/to/dataset'
dataset = ImageFolder(path,transform=transforms)
path = "/path/to/dataset"
dataset = ImageFolder(path, transform=transforms)
......@@ -7,12 +7,8 @@ from bob.ip.binseg.data.imagefolderinference import ImageFolderInference
#### Config ####
# add your transforms below
transforms = Compose([
ToRGB(),
CenterCrop((544,544))
,ToTensor()
])
transforms = Compose([ToRGB(), CenterCrop((544, 544)), ToTensor()])
# PyTorch dataset
path = '/path/to/folder/containing/images'
dataset = ImageFolderInference(path,transform=transforms)
path = "/path/to/folder/containing/images"
dataset = ImageFolderInference(path, transform=transforms)
......@@ -7,11 +7,8 @@ from bob.ip.binseg.data.imagefolder import ImageFolder
#### Config ####
# add your transforms below
transforms = Compose([
CenterCrop((544,544))
,ToTensor()
])
transforms = Compose([CenterCrop((544, 544)), ToTensor()])
# PyTorch dataset
path = '/path/to/testdataset'
dataset = ImageFolder(path,transform=transforms)
path = "/path/to/testdataset"
dataset = ImageFolder(path, transform=transforms)
......@@ -7,16 +7,12 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
RandomHFlip()
,RandomVFlip()
,RandomRotation()
,ColorJitter()
,ToTensor()
])
transforms = Compose(
[RandomHFlip(), RandomVFlip(), RandomRotation(), ColorJitter(), ToTensor()]
)
# bob.db.dataset init
bobdb = IOSTAR(protocol='default_od')
bobdb = IOSTAR(protocol="default_od")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='train', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="train", transform=transforms)
......@@ -7,12 +7,10 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
ToTensor()
])
transforms = Compose([ToTensor()])
# bob.db.dataset init
bobdb = IOSTAR(protocol='default_od')
bobdb = IOSTAR(protocol="default_od")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='test', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="test", transform=transforms)
......@@ -7,16 +7,12 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
RandomHFlip()
,RandomVFlip()
,RandomRotation()
,ColorJitter()
,ToTensor()
])
transforms = Compose(
[RandomHFlip(), RandomVFlip(), RandomRotation(), ColorJitter(), ToTensor()]
)
# bob.db.dataset init
bobdb = IOSTAR(protocol='default_vessel')
bobdb = IOSTAR(protocol="default_vessel")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='train', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="train", transform=transforms)
......@@ -7,19 +7,21 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
RandomRotation()
,Crop(144,0,768,1024)
,Pad((30,0,30,0))
,Resize(1168)
,RandomHFlip()
,RandomVFlip()
,ColorJitter()
,ToTensor()
])
transforms = Compose(
[
RandomRotation(),
Crop(144, 0, 768, 1024),
Pad((30, 0, 30, 0)),
Resize(1168),
RandomHFlip(),
RandomVFlip(),
ColorJitter(),
ToTensor(),
]
)
# bob.db.dataset init
bobdb = IOSTAR(protocol='default_vessel')
bobdb = IOSTAR(protocol="default_vessel")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='train', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="train", transform=transforms)
......@@ -7,17 +7,19 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
Resize(544)
,RandomHFlip()
,RandomVFlip()
,RandomRotation()
,ColorJitter()
,ToTensor()
])
transforms = Compose(
[
Resize(544),
RandomHFlip(),
RandomVFlip(),
RandomRotation(),
ColorJitter(),
ToTensor(),
]
)
# bob.db.dataset init
bobdb = IOSTAR(protocol='default_vessel')
bobdb = IOSTAR(protocol="default_vessel")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='train', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="train", transform=transforms)
......@@ -7,13 +7,10 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
Resize(544)
,ToTensor()
])
transforms = Compose([Resize(544), ToTensor()])
# bob.db.dataset init
bobdb = IOSTAR(protocol='default_vessel')
bobdb = IOSTAR(protocol="default_vessel")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='test', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="test", transform=transforms)
......@@ -7,18 +7,20 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
Pad((81,0,81,0))
,Resize(608)
,RandomHFlip()
,RandomVFlip()
,RandomRotation()
,ColorJitter()
,ToTensor()
])
transforms = Compose(
[
Pad((81, 0, 81, 0)),
Resize(608),
RandomHFlip(),
RandomVFlip(),
RandomRotation(),
ColorJitter(),
ToTensor(),
]
)
# bob.db.dataset init
bobdb = IOSTAR(protocol='default_vessel')
bobdb = IOSTAR(protocol="default_vessel")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='train', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="train", transform=transforms)
......@@ -7,17 +7,19 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
Resize(960)
,RandomHFlip()
,RandomVFlip()
,RandomRotation()
,ColorJitter()
,ToTensor()
])
transforms = Compose(
[
Resize(960),
RandomHFlip(),
RandomVFlip(),
RandomRotation(),
ColorJitter(),
ToTensor(),
]
)
# bob.db.dataset init
bobdb = IOSTAR(protocol='default_vessel')
bobdb = IOSTAR(protocol="default_vessel")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='train', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="train", transform=transforms)
......@@ -7,12 +7,10 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
ToTensor()
])
transforms = Compose([ToTensor()])
# bob.db.dataset init
bobdb = IOSTAR(protocol='default_vessel')
bobdb = IOSTAR(protocol="default_vessel")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='test', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="test", transform=transforms)
......@@ -7,18 +7,20 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
Resize((1539))
,Pad((21,46,22,47))
,RandomHFlip()
,RandomVFlip()
,RandomRotation()
,ColorJitter()
,ToTensor()
])
transforms = Compose(
[
Resize((1539)),
Pad((21, 46, 22, 47)),
RandomHFlip(),
RandomVFlip(),
RandomRotation(),
ColorJitter(),
ToTensor(),
]
)
# bob.db.dataset init
bobdb = REFUGE(protocol = 'default_cup')
bobdb = REFUGE(protocol="default_cup")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='train', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="train", transform=transforms)
......@@ -7,13 +7,10 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
CenterCrop(1632)
,ToTensor()
])
transforms = Compose([CenterCrop(1632), ToTensor()])
# bob.db.dataset init
bobdb = REFUGE(protocol = 'default_cup')
bobdb = REFUGE(protocol="default_cup")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='test', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="test", transform=transforms)
......@@ -7,18 +7,20 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
Resize((1539))
,Pad((21,46,22,47))
,RandomHFlip()
,RandomVFlip()
,RandomRotation()
,ColorJitter()
,ToTensor()
])
transforms = Compose(
[
Resize((1539)),
Pad((21, 46, 22, 47)),
RandomHFlip(),
RandomVFlip(),
RandomRotation(),
ColorJitter(),
ToTensor(),
]
)
# bob.db.dataset init
bobdb = REFUGE(protocol = 'default_od')
bobdb = REFUGE(protocol="default_od")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='train', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="train", transform=transforms)
......@@ -7,13 +7,10 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
CenterCrop(1632)
,ToTensor()
])
transforms = Compose([CenterCrop(1632), ToTensor()])
# bob.db.dataset init
bobdb = REFUGE(protocol = 'default_od')
bobdb = REFUGE(protocol="default_od")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='test', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="test", transform=transforms)
......@@ -7,17 +7,19 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
Pad((8,8,8,8))
,RandomHFlip()
,RandomVFlip()
,RandomRotation()
,ColorJitter()
,ToTensor()
])
transforms = Compose(
[
Pad((8, 8, 8, 8)),
RandomHFlip(),
RandomVFlip(),
RandomRotation(),
ColorJitter(),
ToTensor(),
]
)
# bob.db.dataset init
bobdb = RIMONER3(protocol = 'default_cup')
bobdb = RIMONER3(protocol="default_cup")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='train', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="train", transform=transforms)
......@@ -7,13 +7,10 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
Pad((8,8,8,8))
,ToTensor()
])
transforms = Compose([Pad((8, 8, 8, 8)), ToTensor()])
# bob.db.dataset init
bobdb = RIMONER3(protocol = 'default_cup')
bobdb = RIMONER3(protocol="default_cup")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='test', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="test", transform=transforms)
......@@ -7,17 +7,19 @@ from bob.ip.binseg.data.binsegdataset import BinSegDataset
#### Config ####
transforms = Compose([
Pad((8,8,8,8))
,RandomHFlip()
,RandomVFlip()
,RandomRotation()
,ColorJitter()
,ToTensor()
])
transforms = Compose(
[
Pad((8, 8, 8, 8)),
RandomHFlip(),
RandomVFlip(),
RandomRotation(),
ColorJitter(),
ToTensor(),
]
)
# bob.db.dataset init
bobdb = RIMONER3(protocol = 'default_od')
bobdb = RIMONER3(protocol="default_od")
# PyTorch dataset
dataset = BinSegDataset(bobdb, split='train', transform=transforms)
\ No newline at end of file
dataset = BinSegDataset(bobdb, split="train", transform=transforms)
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