Mask — Torchvision 0.22 documentation (original) (raw)

class torchvision.tv_tensors.Mask(data: Any, *, dtype: Optional[dtype] = None, device: Optional[Union[device, str, int]] = None, requires_grad: Optional[bool] = None)[source]¶

torch.Tensor subclass for segmentation and detection masks with shape [..., H, W].

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. If omitted, will be inferred fromdata.
• device (torch.device, optional) – Desired device. If omitted and data is atorch.Tensor, the device is taken from it. Otherwise, the mask is constructed on the CPU.
• requires_grad (bool, optional) – Whether autograd should record operations. If omitted anddata is a torch.Tensor, the value is taken from it. Otherwise, defaults to False.

Examples using Mask: