normalize
Normalization and denormalization transforms for image patches.
Denormalize
#
Denormalize an image.
Denormalization is performed expecting a zero mean and unit variance input. This transform expects C(Z)YX dimensions.
Note that an epsilon value of 1e-6 is added to the standard deviation to avoid division by zero during the normalization step, which is taken into account during denormalization.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
image_means | list or tuple of float | Mean value per channel. | required |
image_stds | list or tuple of float | Standard deviation value per channel. | required |
Source code in src/careamics/transforms/normalize.py
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__call__(patch)
#
Reverse the normalization operation for a batch of patches.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
patch | NDArray | Patch, 2D or 3D, shape BC(Z)YX. | required |
Returns:
Type | Description |
---|---|
NDArray | Transformed array. |
Source code in src/careamics/transforms/normalize.py
__init__(image_means, image_stds)
#
Constructor.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
image_means | list of float | Mean value per channel. | required |
image_stds | list of float | Standard deviation value per channel. | required |
Source code in src/careamics/transforms/normalize.py
Normalize
#
Bases: Transform
Normalize an image or image patch.
Normalization is a zero mean and unit variance. This transform expects C(Z)YX dimensions.
Not that an epsilon value of 1e-6 is added to the standard deviation to avoid division by zero and that it returns a float32 image.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
image_means | list of float | Mean value per channel. | required |
image_stds | list of float | Standard deviation value per channel. | required |
target_means | list of float | Target mean value per channel, by default None. | None |
target_stds | list of float | Target standard deviation value per channel, by default None. | None |
Attributes:
Name | Type | Description |
---|---|---|
image_means | list of float | Mean value per channel. |
image_stds | list of float | Standard deviation value per channel. |
target_means | list of float, optional | Target mean value per channel, by default None. |
target_stds | list of float, optional | Target standard deviation value per channel, by default None. |
Source code in src/careamics/transforms/normalize.py
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__call__(patch, target=None, **additional_arrays)
#
Apply the transform to the source patch and the target (optional).
Parameters:
Name | Type | Description | Default |
---|---|---|---|
patch | NDArray | Patch, 2D or 3D, shape C(Z)YX. | required |
target | NDArray | Target for the patch, by default None. | None |
**additional_arrays | NDArray | Additional arrays that will be transformed identically to | {} |
Returns:
Type | Description |
---|---|
tuple of NDArray | Transformed patch and target, the target can be returned as |
Source code in src/careamics/transforms/normalize.py
__init__(image_means, image_stds, target_means=None, target_stds=None)
#
Constructor.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
image_means | list of float | Mean value per channel. | required |
image_stds | list of float | Standard deviation value per channel. | required |
target_means | list of float | Target mean value per channel, by default None. | None |
target_stds | list of float | Target standard deviation value per channel, by default None. | None |