channelstats#

dataeval.metrics.stats.channelstats(images: Iterable[ArrayLike], bboxes: Iterable[ArrayLike] | None = None) → ChannelStatsOutput#

Calculates various per-channel statistics for each image

This function computes pixel and visual metrics on the images or individual bounding boxes for each image.

Parameters:

images (Iterable[ArrayLike]) – Images to perform calculations on
bboxes (Iterable[ArrayLike] or None) – Bounding boxes in xyxy format for each image to perform calculations on

Returns:

Output class containing the per-channel outputs of various stats functions

Return type:

ChannelStatsOutput

See also

pixelstats, visualstats

Examples

Calculating the per-channel pixel and visual stats for a dataset

>>> stats = channelstats(images)
>>> print(stats.visualstats.darkness)
[0.07495 0.1748  0.275   0.1047  0.11096 0.1172  0.2047  0.2109  0.2172
 0.3047  0.311   0.3171  0.4048  0.411   0.4172  0.505   0.5107  0.517
 0.6045  0.611   0.617   0.7046  0.711   0.7173  0.8047  0.811   0.8174
 0.905   0.911   0.917  ]