def apply_sharpness(input: torch.Tensor, params: Dict[str, torch.Tensor]) -> torch.Tensor:
r"""Sharpen an image.
Args:
input (torch.Tensor): Tensor to be transformed with shape :math:`(*, C, H, W)`.
params (Dict[str, torch.Tensor]):
- params['sharpness_factor']: Sharpness strength. Must be above 0.
Returns:
torch.Tensor: Adjusted image with shape :math:`(B, C, H, W)`.
"""
factor = params['sharpness_factor']
return sharpness(input, factor)
def apply_sharpness(input: torch.Tensor, params: Dict[str, torch.Tensor]) -> torch.Tensor:
r"""Sharpen an image.
Args:
input (torch.Tensor): Tensor to be transformed with shape (H, W), (C, H, W), (B, C, H, W).
params (Dict[str, torch.Tensor]):
- params['sharpness_factor']: Sharpness strength. Must be above 0.
Returns:
torch.Tensor: Adjusted image.
"""
input = _transform_input(input)
_validate_input_dtype(input, accepted_dtypes=[torch.float16, torch.float32, torch.float64])
factor = params['sharpness_factor']
return sharpness(input, factor)