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Rotation transforms (augmentations.geometric.functional)

class albumentations.augmentations.geometric.rotate.RandomRotate90 [view source on GitHub]

Randomly rotate the input by 90 degrees zero or more times.

Parameters:

Name Type Description
p float

probability of applying the transform. Default: 0.5.

Targets: image, mask, bboxes, keypoints

Image types: uint8, float32

albumentations.augmentations.geometric.rotate.RandomRotate90.apply(self, img, factor=0, **params)

Parameters:

Name Type Description
factor int

number of times the input will be rotated by 90 degrees.

class albumentations.augmentations.geometric.rotate.Rotate (limit=90, interpolation=1, border_mode=4, value=None, mask_value=None, always_apply=False, p=0.5) [view source on GitHub]

Rotate the input by an angle selected randomly from the uniform distribution.

Parameters:

Name Type Description
limit [int, int] or int

range from which a random angle is picked. If limit is a single int an angle is picked from (-limit, limit). Default: (-90, 90)
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.
border_mode OpenCV flag

flag that is used to specify the pixel extrapolation method. Should be one of: cv2.BORDER_CONSTANT, cv2.BORDER_REPLICATE, cv2.BORDER_REFLECT, cv2.BORDER_WRAP, cv2.BORDER_REFLECT_101. Default: cv2.BORDER_REFLECT_101
value int, float, list of ints, list of float

padding value if border_mode is cv2.BORDER_CONSTANT.
mask_value int, float, list of ints, list of float

padding value if border_mode is cv2.BORDER_CONSTANT applied for masks.
p float

probability of applying the transform. Default: 0.5.

Targets: image, mask, bboxes, keypoints

Image types: uint8, float32