Crop an image and the flipped image each into four corners and a central crop

Crop the given image into four corners and the central crop, plus the flipped version of these (horizontal flipping is used by default). This transform returns a tuple of images and there may be a mismatch in the number of inputs and targets your Dataset returns.

transform_ten_crop(img, size, vertical_flip = FALSE)

Arguments

img

A magick-image, array or torch_tensor.

size

(integer vector or integer): Desired output size. If size is an integer vector of length 2 like c(h, w), output size will be matched to this. If size is a bare integer, smaller edge of the image will be matched to this number, i.e., if height > width, then image will be rescaled to (size * height / width, size).

vertical_flip

(logical): Use vertical flipping instead of horizontal.

See also

Other combining_transforms: prepare_sahi_split(), transform_five_crop(), transform_random_apply(), transform_random_choice(), transform_random_order(), transform_resized_crop()