robokudo.annotators.cluster_color_histogram¶

Classes¶

ClusterColorHistogramAnnotator

Calculate the Hue and Saturation Histogram for every Object Hypothesis (cluster) that has a RGB ROI and

Module Contents¶

class robokudo.annotators.cluster_color_histogram.ClusterColorHistogramAnnotator(name='ClusterColorHistogramAnnotator', descriptor=Descriptor())¶

Bases: robokudo.annotators.core.BaseAnnotator

Calculate the Hue and Saturation Histogram for every Object Hypothesis (cluster) that has a RGB ROI and a Mask

class Descriptor¶

Bases: robokudo.annotators.core.BaseAnnotator.Descriptor

class Parameters¶

histogram_cols = 16¶

histogram_rows = 16¶

generate_plot_output = False¶

parameters¶

update()¶: Called every time the behavior is ticked.

create_color_histogram_annotations(color: numpy.typing.NDArray)¶

Takes the image of the scene and calculates for each cluster/object hypothesis a 2D Color Histogram. The histogram contains the distribution of pixel values over the Hue and Saturation channel.

Parameters:: color – The color image of the scene.
Returns:: An image with a plot over all cluster histograms when

self.descriptor.parameters.generate_plot_output is True . None otherwise.