Channel Statistics

The ChannelStats class is similar to the ImageStats class except that it only calculates the normal statistics for each pixel value on a per channel basis.

Tutorials

To see how the ChannelStats class can be used while doing exploratory data analysis, check out the EDA Part 1 tutorial.

Exploratory Data Analysis Part 1

How To Guides

There is a how-to guide that applies to the ChannelStats class.

DataEval API

class dataeval.metrics.ChannelStats(flags: ImageStatistics | None = None)
compute() → Dict[str, Any]

Computes the specified measures on the cached values

Returns:

Dictionary results of the specified measures

Return type:

Dict[str, Any]

evaluate(images: TBatch) → Dict[str, Any]

Calculate metric results given a single batch of images

reset() → None

Resets the internal metric cache

update(images: Iterable[_SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes]]) → None

Updates internal metric cache for later calculation

Parameters:

batch (Sequence) – Sequence of images to be processed