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actions-user committed Nov 19, 2024
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Expand Up @@ -193,6 +193,8 @@ Module Contents
.. py:property:: eval_shape_increase
:type: funlib.geometry.Coordinate


The increase in shape due to the U-Net.

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.. py:property:: input_shape
:type: funlib.geometry.Coordinate


Return the input shape of the U-Net.

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Expand Up @@ -749,6 +749,8 @@ Package Contents
.. py:property:: eval_shape_increase
:type: funlib.geometry.Coordinate


The increase in shape due to the U-Net.

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.. py:property:: input_shape
:type: funlib.geometry.Coordinate


Return the input shape of the U-Net.

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Expand Up @@ -91,3 +91,7 @@ Module Contents
:type: bool


.. py:attribute:: kernel_size
:type: int | None


8 changes: 8 additions & 0 deletions _sources/autoapi/dacapo/experiments/tasks/index.rst.txt
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Expand Up @@ -413,6 +413,10 @@ Package Contents
:type: List[str]


.. py:attribute:: kernel_size
:type: int | None


.. py:class:: OneHotTask(task_config)
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:type: bool


.. py:attribute:: kernel_size
:type: int | None


.. py:class:: HotDistanceTask(task_config)
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Expand Up @@ -44,3 +44,7 @@ Module Contents
:type: List[str]


.. py:attribute:: kernel_size
:type: int | None


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Expand Up @@ -4,6 +4,14 @@ dacapo.experiments.tasks.post_processors.threshold_post_processor
.. py:module:: dacapo.experiments.tasks.post_processors.threshold_post_processor
Attributes
----------

.. autoapisummary::

dacapo.experiments.tasks.post_processors.threshold_post_processor.logger


Classes
-------

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Module Contents
---------------

.. py:data:: logger
.. py:class:: ThresholdPostProcessor
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Expand Up @@ -25,7 +25,7 @@ Module Contents

.. py:data:: logger
.. py:class:: HotDistancePredictor(channels: List[str], scale_factor: float, mask_distances: bool)
.. py:class:: HotDistancePredictor(channels: List[str], scale_factor: float, mask_distances: bool, kernel_size: int)
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This is a subclass of Predictor.


.. py:attribute:: kernel_size
.. py:attribute:: channels
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Expand Up @@ -422,7 +422,7 @@ Package Contents



.. py:class:: OneHotPredictor(classes: List[str])
.. py:class:: OneHotPredictor(classes: List[str], kernel_size: int)
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.. py:attribute:: classes
.. py:attribute:: kernel_size
.. py:property:: embedding_dims
Get the number of embedding dimensions.
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.. py:class:: HotDistancePredictor(channels: List[str], scale_factor: float, mask_distances: bool)
.. py:class:: HotDistancePredictor(channels: List[str], scale_factor: float, mask_distances: bool, kernel_size: int)
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This is a subclass of Predictor.


.. py:attribute:: kernel_size
.. py:attribute:: channels
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Expand Up @@ -25,7 +25,7 @@ Module Contents

.. py:data:: logger
.. py:class:: OneHotPredictor(classes: List[str])
.. py:class:: OneHotPredictor(classes: List[str], kernel_size: int)
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.. py:attribute:: classes
.. py:attribute:: kernel_size
.. py:property:: embedding_dims
Get the number of embedding dimensions.
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