transform_convert_image_dtype {torchvision} | R Documentation |
Convert a tensor image to the given dtype
and scale the values accordingly
Description
Convert a tensor image to the given dtype
and scale the values accordingly
Usage
transform_convert_image_dtype(img, dtype = torch::torch_float())
Arguments
img |
A |
dtype |
(torch.dtype): Desired data type of the output. |
Note
When converting from a smaller to a larger integer dtype
the maximum
values are not mapped exactly. If converted back and forth, this
mismatch has no effect.
See Also
Other transforms:
transform_adjust_brightness()
,
transform_adjust_contrast()
,
transform_adjust_gamma()
,
transform_adjust_hue()
,
transform_adjust_saturation()
,
transform_affine()
,
transform_center_crop()
,
transform_color_jitter()
,
transform_crop()
,
transform_five_crop()
,
transform_grayscale()
,
transform_hflip()
,
transform_linear_transformation()
,
transform_normalize()
,
transform_pad()
,
transform_perspective()
,
transform_random_affine()
,
transform_random_apply()
,
transform_random_choice()
,
transform_random_crop()
,
transform_random_erasing()
,
transform_random_grayscale()
,
transform_random_horizontal_flip()
,
transform_random_order()
,
transform_random_perspective()
,
transform_random_resized_crop()
,
transform_random_rotation()
,
transform_random_vertical_flip()
,
transform_resized_crop()
,
transform_resize()
,
transform_rgb_to_grayscale()
,
transform_rotate()
,
transform_ten_crop()
,
transform_to_tensor()
,
transform_vflip()