dataeval.metrics.stats.pixelstats¶

dataeval.metrics.stats.pixelstats(dataset, *, per_box=False, per_channel=False)¶

Calculates pixel statistics for each image.

This function computes various statistical metrics (e.g., mean, standard deviation, entropy) on the images as a whole.

Parameters:¶

dataset : Dataset¶

Dataset to perform calculations on.

per_box : bool, default False¶

If True, perform calculations on each bounding box.

per_channel : bool, default False¶

If True, perform calculations on each channel.

Returns:¶

A dictionary-like object containing the computed statistics for each image. The keys correspond to the names of the statistics (e.g., ‘mean’, ‘std’), and the values are lists of results for each image or NumPy arrays when the results are multi-dimensional.

Return type:¶

PixelStatsOutput

See also

dimensionstats, visualstats, Outliers

Note

• All metrics are scaled based on the perceived bit depth (which is derived from the largest pixel value) to allow for better comparison between images stored in different formats and different resolutions.

• zeros and missing are presented as a percentage of total pixel counts

Examples

Calculate the pixel statistics of a dataset of 8 images, whose shape is (C, H, W).

>>> results = pixelstats(dataset)
>>> print(results.mean)
[0.181 0.132 0.248 0.373 0.464 0.613 0.734 0.854]
>>> print(results.entropy)
[4.527 1.883 0.811 1.883 0.298 1.883 1.883 1.883]