P2DingoCV.Util.MiscUtil

Classes

MiscUtil()

class P2DingoCV.Util.MiscUtil.MiscUtil[source]

Bases: object

static angleDiff(a, b)[source]
Return type:

float

static boxesOverlap(b1, b2)[source]

Check if two rectangular bounding boxes overlap.

Parameters

b1tuple[int, int, int, int]

Bounding box 1 specified as (x, y, width, height).

b2tuple[int, int, int, int]

Bounding box 2 specified as (x, y, width, height).

Returns

bool

True if the bounding boxes overlap (intersect), False otherwise.

Notes

  • Overlap is determined based on the intersection of the boxes’ areas.

  • Boxes that touch edges but do not share any interior area are considered non-overlapping.

Parameters:

  • b1 (Tuple[int, int, int, int])

  • b2 (Tuple[int, int, int, int])

Return type:

bool

static getMode(arr)[source]
Parameters:

arr (numpy.ndarray)

Return type:

numpy.ndarray[tuple[int, …], numpy.dtype[numpy.integer]]

static iqrOutliers(data)[source]
static loadConfig(path)[source]
Parameters:

path (str | pathlib.Path)

Return type:

dict

static maskContains(mask_a, mask_b)[source]

Check if one binary mask is completely contained within another.

This function returns True if every non-zero pixel in mask_b falls within a non-zero region of mask_a. In other words, mask_b is entirely “inside” mask_a.

Parameters

mask_anp.ndarray

Binary mask (0 or 255) representing the “container” region.

mask_bnp.ndarray

Binary mask (0 or 255) to check for containment within mask_a.

Returns

bool

True if all non-zero pixels of mask_b are also non-zero in mask_a, False otherwise.

Notes

  • Both masks must have the same shape.

  • This function works for binary masks where foreground pixels are non-zero

    (typically 255) and background is zero.

static safeInt(x, tol=1e-06)[source]
Return type:

int

static setupLogger(name, logDir)[source]
Parameters:

  • name (str)

  • logDir (str | None)

Return type:

logging.Logger