Transforms Interface (core.transforms_interface)¶
¶
class albumentations.core.transforms_interface.BasicTransform
(always_apply=False, p=0.5)
[view source on GitHub]
¶
albumentations.core.transforms_interface.BasicTransform.add_targets(self, additional_targets)
¶
Add targets to transform them the same way as one of existing targets ex: {'target_image': 'image'} ex: {'obj1_mask': 'mask', 'obj2_mask': 'mask'} by the way you must have at least one object with key 'image'
Parameters:
| Name | Type | Description |
|---|---|---|
additional_targets |
dict |
keys - new target name, values - old target name. ex: {'image2': 'image'} |
class albumentations.core.transforms_interface.DualTransform
[view source on GitHub]
¶
Transform for segmentation task.
class albumentations.core.transforms_interface.ImageOnlyTransform
[view source on GitHub]
¶
Transform applied to image only.
def
albumentations.core.transforms_interface.to_tuple(param, low=None, bias=None)
[view source on GitHub]
¶
Convert input argument to min-max tuple
Parameters:
| Name | Type | Description |
|---|---|---|
param |
scalar, tuple or list of 2+ elements |
Input value. If value is scalar, return value would be (offset - value, offset + value). If value is tuple, return value would be value + offset (broadcasted). |
low |
|
Second element of tuple can be passed as optional argument |
bias |
|
An offset factor added to each element |