- torchvision.transforms.functional.convert_image_dtype(image: Tensor, dtype: dtype = torch.float32) Tensor [source]¶
Convert a tensor image to the given
dtypeand scale the values accordingly This function does not support PIL Image.
image (torch.Tensor) – Image to be converted
dtype (torch.dpython:type) – Desired data type of the output
- Return type:
When converting from a smaller to a larger integer
dtypethe maximum values are not mapped exactly. If converted back and forth, this mismatch has no effect.
RuntimeError – When trying to cast
torch.int64as well as for trying to cast
torch.int64. These conversions might lead to overflow errors since the floating point
dtypecannot store consecutive integers over the whole range of the integer
Repurposing masks into bounding boxesRepurposing masks into bounding boxes