Image¶
- class torchvision.datapoints.Image(data: Any, *, dtype: Optional[dtype] = None, device: Optional[Union[device, str, int]] = None, requires_grad: Optional[bool] = None)[source]¶
[BETA]
torch.Tensor
subclass for images.- Parameters:
data (tensor-like, PIL.Image.Image) – Any data that can be turned into a tensor with
torch.as_tensor()
as well as PIL images.dtype (torch.dpython:type, optional) – Desired data type of the bounding box. If omitted, will be inferred from
data
.device (torch.device, optional) – Desired device of the bounding box. If omitted and
data
is atorch.Tensor
, the device is taken from it. Otherwise, the bounding box is constructed on the CPU.requires_grad (bool, optional) – Whether autograd should record operations on the bounding box. If omitted and
data
is atorch.Tensor
, the value is taken from it. Otherwise, defaults toFalse
.
Examples using
Image
:Datapoints FAQGetting started with transforms v2
Getting started with transforms v2