74 lines
1.6 KiB
Go
74 lines
1.6 KiB
Go
package classify
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import (
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"strings"
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"github.com/photoprism/photoprism/internal/face"
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"github.com/photoprism/photoprism/pkg/txt"
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)
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// Label represents a MediaFile label (automatically created).
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type Label struct {
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Name string `json:"label"` // Label name
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Source string `json:"source"` // Where was this label found / detected?
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Uncertainty int `json:"uncertainty"` // >= 0
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Priority int `json:"priority"` // >= 0
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Categories []string `json:"categories"` // List of similar labels
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}
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// LocationLabel returns a new location label.
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func LocationLabel(name string, uncertainty int) Label {
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priority := -1
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if index := strings.Index(name, " / "); index > 1 {
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name = name[:index]
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}
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if index := strings.Index(name, " - "); index > 1 {
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name = name[:index]
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}
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var categories []string
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if rule, ok := rules.Find(name); ok {
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priority = rule.Priority
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categories = rule.Categories
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}
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return Label{
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Name: name,
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Source: SrcLocation,
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Uncertainty: uncertainty,
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Priority: priority,
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Categories: categories,
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}
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}
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// Title returns a formatted label title as string.
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func (l Label) Title() string {
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return txt.Title(txt.Clip(l.Name, txt.ClipDefault))
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}
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// FaceLabels returns matching labels if there are people in the image.
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func FaceLabels(faces face.Faces, src string) Labels {
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var r LabelRule
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count := faces.Count()
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if count < 1 {
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return Labels{}
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} else if count == 1 {
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r = rules["portrait"]
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} else {
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r = rules["people"]
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}
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return Labels{Label{
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Name: r.Label,
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Source: src,
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Uncertainty: faces.Uncertainty(),
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Priority: r.Priority,
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Categories: r.Categories,
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}}
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}
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