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Transforms (pytorch.transforms)

class albumentations.pytorch.transforms.ToTensor (num_classes=1, sigmoid=True, normalize=None) [view source on GitHub]

Convert image and mask to torch.Tensor and divide by 255 if image or mask are uint8 type. WARNING! Please use this with care and look into sources before usage.

Parameters:

Name Type Description
num_classes int

only for segmentation

sigmoid bool

only for segmentation, transform mask to LongTensor or not.

normalize dict

dict with keys [mean, std] to pass it into torchvision.normalize

class albumentations.pytorch.transforms.ToTensorV2 (always_apply=True, p=1.0) [view source on GitHub]

Convert image and mask to torch.Tensor.