Documentation ¶
Overview ¶
Package classification implements a classifier for use as a visModel in the vision service
Index ¶
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
Types ¶
type Classification ¶
Classification returns a confidence score of the classification and a label of the class.
func NewClassification ¶
func NewClassification(score float64, label string) Classification
NewClassification creates a simple 2D classification.
type Classifications ¶
type Classifications []Classification
Classifications is a list of the Classification object.
func (Classifications) TopN ¶
func (cc Classifications) TopN(n int) (Classifications, error)
TopN finds the N Classifications with the highest confidence scores.
type Classifier ¶
A Classifier is defined as a function from an image to a list of Classifications.
type Postprocessor ¶ added in v0.2.17
type Postprocessor func(Classifications) Classifications
Postprocessor defines a function that filters/modifies on an incoming array of Classifications.
func NewLabelFilter ¶ added in v0.17.0
func NewLabelFilter(labels map[string]interface{}) Postprocessor
NewLabelFilter returns a function that filters out classifications without one of the chosen labels. Does not filter when input is empty.
func NewScoreFilter ¶ added in v0.2.17
func NewScoreFilter(conf float64) Postprocessor
NewScoreFilter returns a function that filters out classifications below a certain confidence score.