pycroglia.ui.widgets.common package

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• pycroglia.ui.widgets.common.tests package
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class pycroglia.ui.widgets.common.results.ImgWithPathResults(file_path, img, cells_masks, segmented_cell_indices=None, selected_cell_indices=None, rejected_cell_indices=None, gray_filter_value=None, min_size=None, erosion_radius=None)

Bases: object

Container for an image together with its source file path.

This simple data container is used to pass image data and the originating file path between UI components.

Parameters:

• file_path (str)

• img (ndarray[tuple[Any, ...], dtype[_ScalarT]])

• cells_masks (List[ndarray[tuple[Any, ...], dtype[_ScalarT]]])

• segmented_cell_indices (List[int] | None)

• selected_cell_indices (List[int] | None)

• rejected_cell_indices (List[int] | None)

• gray_filter_value (float | None)

• min_size (int | None)

• erosion_radius (int | None)

file_path

Path to the image file.

Type:

str

img

Image array (numpy) associated with the file.

Type:

NDArray

cells_masks

List of individual cell masks.

Type:

List[NDArray]

segmented_cell_indices

All cell indices from segmentation.

Type:

Optional[List[int]]

final_cell_indices

Cell indices not rejected after selection.

Type:

Optional[List[int]]

gray_filter_value

Gray filter threshold used.

Type:

Optional[float]

min_size

Minimum size for small object removal.

Type:

Optional[int]

erosion_radius

Erosion footprint radius.

Type:

Optional[int]

cells_masks: List[ndarray[tuple[Any, ...], dtype[_ScalarT]]]

erosion_radius: int | None = None

file_path: str

gray_filter_value: float | None = None

img: ndarray[tuple[Any, ...], dtype[_ScalarT]]

min_size: int | None = None

rejected_cell_indices: List[int] | None = None

segmented_cell_indices: List[int] | None = None

selected_cell_indices: List[int] | None = None

Module contents