transform_resized_crop: Crop an image and resize it to a desired size

In torchvision: Models, Datasets and Transformations for Images

Crop an image and resize it to a desired size

Description

Crop an image and resize it to a desired size

Usage

transform_resized_crop(img, top, left, height, width, size, interpolation = 2)

Arguments

img	A magick-image, array or torch_tensor.
top	(int): Vertical component of the top left corner of the crop box.
left	(int): Horizontal component of the top left corner of the crop box.
height	(int): Height of the crop box.
width	(int): Width of the crop box.
size	(sequence or int): Desired output size. If size is a sequence like (h, w), output size will be matched to this. If size is an int, 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).
interpolation	(int, optional) Desired interpolation. An integer 0 = nearest, 2 = bilinear, and 3 = bicubic or a name from magick::filter_types().

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_random_vertical_flip(), 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.