transform_random_vertical_flip: Vertically flip an image randomly with a given probability

In torchvision: Models, Datasets and Transformations for Images

Vertically flip an image randomly with a given probability

Description

The image can be a PIL Image or a torch Tensor, in which case it is expected to have ⁠[..., H, W]⁠ shape, where ... means an arbitrary number of leading dimensions

Usage

transform_random_vertical_flip(img, p = 0.5)

Arguments

img	A magick-image, array or torch_tensor.
p	(float): probability of the image being flipped. Default value is 0.5

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_convert_image_dtype(), 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_resized_crop(), transform_resize(), transform_rgb_to_grayscale(), transform_rotate(), transform_ten_crop(), transform_to_tensor(), transform_vflip()

torchvision documentation built on April 14, 2023, 5:08 p.m.