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Carvana dataset loader

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Former-commit-id: 4ad8323b2e54c7bbcf8968ca7fc0f2e3ddd87689
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milesial 2020-07-29 18:20:28 -07:00
parent 04c2cb1ed4
commit 8780e424b4
1 changed files with 8 additions and 2 deletions
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10
utils/dataset.py
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@ -9,10 +9,11 @@ from PIL import Image
class BasicDataset(Dataset): class BasicDataset(Dataset):
def __init__(self, imgs_dir, masks_dir, scale=1): def __init__(self, imgs_dir, masks_dir, scale=1, mask_suffix=''):
self.imgs_dir = imgs_dir self.imgs_dir = imgs_dir
self.masks_dir = masks_dir self.masks_dir = masks_dir
self.scale = scale self.scale = scale
self.mask_suffix = mask_suffix
assert 0 < scale <= 1, 'Scale must be between 0 and 1' assert 0 < scale <= 1, 'Scale must be between 0 and 1'
self.ids = [splitext(file)[0] for file in listdir(imgs_dir) self.ids = [splitext(file)[0] for file in listdir(imgs_dir)
@ -43,7 +44,7 @@ class BasicDataset(Dataset):
def __getitem__(self, i): def __getitem__(self, i):
idx = self.ids[i] idx = self.ids[i]
mask_file = glob(self.masks_dir + idx + '.*') mask_file = glob(self.masks_dir + idx + self.mask_suffix + '.*')
img_file = glob(self.imgs_dir + idx + '.*') img_file = glob(self.imgs_dir + idx + '.*')
assert len(mask_file) == 1, \ assert len(mask_file) == 1, \
@ -63,3 +64,8 @@ class BasicDataset(Dataset):
'image': torch.from_numpy(img).type(torch.FloatTensor), 'image': torch.from_numpy(img).type(torch.FloatTensor),
'mask': torch.from_numpy(mask).type(torch.FloatTensor) 'mask': torch.from_numpy(mask).type(torch.FloatTensor)
} }
class CarvanaDataset(BasicDataset):
def __init__(self, imgs_dir, masks_dir, scale=1):
super().__init__(imgs_dir, masks_dir, scale, mask_suffix='_mask')