ComfyUI Node

cv2.kmeans

Raw wrapper of cv2.kmeans(data, K, bestLabels, criteria, attempts, flags). Parameters marked '?' are optional; blank means OpenCV default. See the OpenCV documentation for details.

By bmad4ever·Created 3 months ago·Updated 2 days ago· 0

cv2.kmeans

data
bestLabels

retval
bestLabels
centers

◄K0►

◄criteria_typemax count or epsilon (whichever first)►

◄criteria_max_count30►

◄criteria_epsilon0.00►

◄attempts0►

◄flagsKMEANS_PP_CENTERS►

Categoryimage/CV/low-level/cv2 K

Inputs (8)

Name	Type	Default	Description
data	NPARRAY		Data for clustering. An array of N-Dimensional points with float coordinates is needed. Examples of this array can be: - Mat points(count, 2, CV_32F); - Mat points(count, 1, CV_32FC2); - Mat points(1, count, CV_32FC2); - std::vector\ points(sampleCount); A data array (points / matrix), NOT an image - only an NPARRAY link is accepted here.
K	INT	0-2147483648–2147483647	Number of clusters to split the set by.
criteria_type	COMBO	max count or epsilon (whichever first)	When to stop iterating: after max_count iterations, when the change drops below epsilon, or whichever comes first.
criteria_max_count	INT	301–2147483647	Maximum iterations (ignored when 'epsilon only').
criteria_epsilon	FLOAT	0.000–1e+38	Target accuracy / smallest change worth continuing for (ignored when 'max count only').
attempts	INT	0-2147483648–2147483647	Flag to specify the number of times the algorithm is executed using different initial labellings. The algorithm returns the labels that yield the best compactness (see the last function parameter).
flags	COMBO	KMEANS_PP_CENTERS	Flag that can take values of cv::KmeansFlags
bestLabelsopt	NPARRAY		Input/output integer array that stores the cluster indices for every sample. Optional - leave unconnected for the OpenCV default (None). A data array (points / matrix), NOT an image - only an NPARRAY link is accepted here.

Outputs (3)

Name	Type	Description
retval	FLOAT	—
bestLabels	NPARRAY	—
centers	NPARRAY	—