Skip to content

Resizing transforms (augmentations.geometric.resize)

class albumentations.augmentations.geometric.resize.LongestMaxSize (max_size=1024, interpolation=1, always_apply=False, p=1) [view source on GitHub]

Rescale an image so that maximum side is equal to max_size, keeping the aspect ratio of the initial image.

Parameters:

Name Type Description
max_size int

maximum size of the image after the transformation.
interpolation OpenCV flag

interpolation method. Default: cv2.INTER_LINEAR.
p float

probability of applying the transform. Default: 1.

Targets: image, mask, bboxes, keypoints

Image types: uint8, float32

class albumentations.augmentations.geometric.resize.RandomScale (scale_limit=0.1, interpolation=1, always_apply=False, p=0.5) [view source on GitHub]

Randomly resize the input. Output image size is different from the input image size.

Parameters:

Name Type Description
scale_limit [float, float] or float

scaling factor range. If scale_limit is a single float value, the range will be (1 - scale_limit, 1 + scale_limit). Default: (0.9, 1.1).
interpolation OpenCV flag

flag that is used to specify the interpolation algorithm. Should be one of: cv2.INTER_NEAREST, cv2.INTER_LINEAR, cv2.INTER_CUBIC, cv2.INTER_AREA, cv2.INTER_LANCZOS4. Default: cv2.INTER_LINEAR.
p float

probability of applying the transform. Default: 0.5.

Targets: image, mask, bboxes, keypoints

Image types: uint8, float32

class albumentations.augmentations.geometric.resize.Resize (height, width, interpolation=1, always_apply=False, p=1) [view source on GitHub]

Resize the input to the given height and width.

Parameters:

Name Type Description
height int

desired height of the output.
width int

desired width of the output.
interpolation OpenCV flag

flag that is used to specify the interpolation algorithm. Should be one of: cv2.INTER_NEAREST, cv2.INTER_LINEAR, cv2.INTER_CUBIC, cv2.INTER_AREA, cv2.INTER_LANCZOS4. Default: cv2.INTER_LINEAR.
p float

probability of applying the transform. Default: 1.

Targets: image, mask, bboxes, keypoints

Image types: uint8, float32

class albumentations.augmentations.geometric.resize.SmallestMaxSize (max_size=1024, interpolation=1, always_apply=False, p=1) [view source on GitHub]

Rescale an image so that minimum side is equal to max_size, keeping the aspect ratio of the initial image.

Parameters:

Name Type Description
max_size int

maximum size of smallest side of the image after the transformation.
interpolation OpenCV flag

interpolation method. Default: cv2.INTER_LINEAR.
p float

probability of applying the transform. Default: 1.

Targets: image, mask, bboxes, keypoints

Image types: uint8, float32