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, rotate_method='largest_box', crop_border=False, 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. |
rotate_method |
str |
rotation method used for the bounding boxes. Should be one of "largest_box" or "ellipse". Default: "largest_box" |
crop_border |
bool |
If True would make a largest possible crop within rotated image |
p |
float |
probability of applying the transform. Default: 0.5. |
Targets: image, mask, bboxes, keypoints
Image types: uint8, float32
class
albumentations.augmentations.geometric.rotate.SafeRotate
(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 inside the input's frame by an angle selected randomly from the uniform distribution.
The resulting image may have artifacts in it. After rotation, the image may have a different aspect ratio, and after resizing, it returns to its original shape with the original aspect ratio of the image. For these reason we may see some artifacts.
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