JPEG

class torchvision.transforms.v2.JPEG(quality: Union[int, Sequence[int]])

Apply JPEG compression and decompression to the given images.

If the input is a torch.Tensor, it is expected to be of dtype uint8, on CPU, and have […, 3 or 1, H, W] shape, where … means an arbitrary number of leading dimensions.

Parameters:

quality (sequence or number) – JPEG quality, from 1 to 100. Lower means more compression. If quality is a sequence like (min, max), it specifies the range of JPEG quality to randomly select from (inclusive of both ends).

Returns:

image with JPEG compression.

Examples using JPEG:

Illustration of transforms

Illustration of transforms

make_params(flat_inputs: List[Any]) → Dict[str, Any]

Method to override for custom transforms.

See How to write your own v2 transforms

transform(inpt: Any, params: Dict[str, Any]) → Any

Method to override for custom transforms.

See How to write your own v2 transforms