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)
[0.02124 0.1213  0.2212  0.1013  0.1076  0.11383 0.2013  0.2076  0.2139
 0.3013  0.3076  0.3137  0.4014  0.4075  0.4138  0.5015  0.508   0.5137
 0.6016  0.6074  0.614   0.701   0.7075  0.714   0.8013  0.8076  0.814
 0.9014  0.9077  0.914  ]