imagenet

package

v0.0.0-...-1f5ce45 Latest Latest Go to latest Published: Feb 3, 2019 License: MIT Imports: 9 Imported by: 0

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Repository

github.com/gildasch/gildas-ai

Documentation ¶

Index ¶

Constants
Variables
type LabelItem
type Labels
- func LabelsFromFile(jsonFile string) (Labels, error)
- func (l Labels) Get(i int, indexCorrection int) string
type Model
- func (m *Model) Classify(img image.Image) (gildasai.Predictions, error)
- func (m *Model) Load() (func() error, error)

Constants ¶

View Source

const (
	ImageModeTensorflow         = "tf"
	ImageModeTensorflowPositive = "tf-pos"
	ImageModeCaffe              = "caffe"
)

Variables ¶

View Source

var DefaultLabels = Labels{}/* 1000 elements not displayed */

Functions ¶

This section is empty.

Types ¶

type LabelItem ¶

type LabelItem struct {
	Name, Description string
}

type Labels ¶

type Labels map[int]LabelItem

func LabelsFromFile ¶

func LabelsFromFile(jsonFile string) (Labels, error)

func (Labels) Get ¶

func (l Labels) Get(i int, indexCorrection int) string

type Model ¶

type Model struct {
	Labels Labels

	ID                      string
	ModelName, TagName      string
	InputLayer, OutputLayer string
	ImageMode               string
	LabelsPath              string
	ImageHeight, ImageWidth uint
	IndexCorrection         int
	// contains filtered or unexported fields
}

func NewNasnet ¶

func NewNasnet(modelRoot string) (*Model, func() error, error)

func NewPnasnet ¶

func NewPnasnet(modelRoot string) (*Model, func() error, error)

func NewResnet ¶

func NewResnet(modelRoot string) (*Model, func() error, error)

func NewXception ¶

func NewXception(modelRoot string) (*Model, func() error, error)

func (*Model) Classify ¶

func (m *Model) Classify(img image.Image) (gildasai.Predictions, error)

func (*Model) Load ¶

func (m *Model) Load() (func() error, error)

Source Files ¶

View all Source files

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