face

Documentation

Index

• type Config
  • func NewConfig(configPath string) *Config
• type Face
  • func NewFace() *Face
  • func (f *Face) Run(input <-chan videosource.ProcessedImage) <-chan videosource.ProcessedImage
  • func (f *Face) SetConfig(config *Config)

Types

type Config

type Config struct {
	Skip                    bool   `yaml:"skip,omitempty"`
	ForceCpu                bool   `yaml:"forceCpu,omitempty"`
	Padding                 int    `yaml:"padding,omitempty"`
	ModelFile               string `yaml:"modelFile,omitempty"`
	ConfigFile              string `yaml:"configFile,omitempty"`
	MinConfidencePercentage int    `yaml:"minConfidencePercentage,omitempty"`
	MaxPercentage           int    `yaml:"maxPercentage,omitempty"`
	MinOverlapPercentage    int    `yaml:"minOverlapPercentage,omitempty"`
	HighlightColor          string `yaml:"highlightColor,omitempty"`
	HighlightThickness      int    `yaml:"highlightThickness,omitempty"`
}

Config contains the parameters for Face detection

func NewConfig

func NewConfig(configPath string) *Config

NewConfig creates a new Config

type Face

type Face struct {
	Skip bool
	// contains filtered or unexported fields
}

Face detects faces within images

func NewFace

func NewFace() *Face

NewFace creates a new Face

func (*Face) Run

func (f *Face) Run(input <-chan videosource.ProcessedImage) <-chan videosource.ProcessedImage

Run starts the face detection process

func (*Face) SetConfig

func (f *Face) SetConfig(config *Config)

SetConfig on face