phenotypic.detect.TriangleDetector

class phenotypic.detect.TriangleDetector

Bases: ThresholdDetector

Detects triangles in an image using a thresholding method.

This class inherits from ThresholdDetector and is specifically designed to detect triangles through a thresholding algorithm applied to the image’s enhance gray. The threshold is calculated using the triangle algorithm, and the result modifies the image’s object mask.

apply()

Applies triangle thresholding to the enhance gray of the image and updates the object mask accordingly.

Methods

__init__
apply	Binarizes the given image gray using the Yen threshold method.
dispose_widgets	Drop references to the UI widgets.
sync_widgets_from_state	Push internal state into widgets.
widget	Return (and optionally display) the root widget.

__del__()

Automatically stop tracemalloc when the object is deleted.

__getstate__()

Prepare the object for pickling by disposing of any widgets.

This ensures that UI components (which may contain unpickleable objects like input functions or thread locks) are cleaned up before serialization.

Note

This method modifies the object state by calling dispose_widgets(). Any active widgets will be detached from the object.

apply(image, inplace=False)

Binarizes the given image gray using the Yen threshold method.

This function modifies the arr image by applying a binary mask to its enhanced gray (enh_gray). The binarization threshold is automatically determined using Yen’s method. The resulting binary mask is stored in the image’s objmask attribute.

Parameters:

image (Image) – The arr image object. It must have an enh_gray attribute, which is used as the basis for creating the binary mask.

Returns:

The arr image object with its objmask attribute updated

to the computed binary mask other_image.

Return type:

Image

dispose_widgets() → None

Drop references to the UI widgets.

Return type:

None

sync_widgets_from_state() → None

Push internal state into widgets.

Return type:

None

widget(image: Image | None = None, show: bool = False) → Widget

Return (and optionally display) the root widget.

Parameters:

• image (Image | None) – Optional image to visualize. If provided, visualization controls will be added to the widget.

• show (bool) – Whether to display the widget immediately. Defaults to False.

Returns:

The root widget.

Return type:

ipywidgets.Widget

Raises:

ImportError – If ipywidgets or IPython are not installed.