92 lines
1.9 KiB
Go
92 lines
1.9 KiB
Go
package face
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import (
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"encoding/json"
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"fmt"
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"strings"
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"github.com/photoprism/photoprism/pkg/clusters"
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)
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// Embedding represents a face embedding.
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type Embedding []float64
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var NullEmbedding = make(Embedding, 512)
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// NewEmbedding creates a new embedding from an inference result.
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func NewEmbedding(inference []float32) Embedding {
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result := make(Embedding, len(inference))
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var v float32
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var i int
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for i, v = range inference {
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result[i] = float64(v)
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}
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return result
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}
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// Kind returns the type of face e.g. regular, kids, or ignored.
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func (m Embedding) Kind() Kind {
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if m.KidsFace() {
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return KidsFace
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} else if m.Ignored() {
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return IgnoredFace
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}
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return RegularFace
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}
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// SkipMatching checks if the face embedding seems unsuitable for matching.
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func (m Embedding) SkipMatching() bool {
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return m.KidsFace() || m.Ignored()
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}
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// CanMatch tests if the face embedding is not blacklisted.
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func (m Embedding) CanMatch() bool {
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return !m.Ignored()
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}
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// Dist calculates the distance to another face embedding.
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func (m Embedding) Dist(other Embedding) float64 {
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if len(other) == 0 || len(m) != len(other) {
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return -1
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}
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return clusters.EuclideanDist(m, other)
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}
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// Magnitude returns the face embedding vector length (magnitude).
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func (m Embedding) Magnitude() float64 {
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return m.Dist(NullEmbedding)
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}
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// JSON returns the face embedding as JSON bytes.
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func (m Embedding) JSON() []byte {
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var noResult = []byte("")
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if len(m) < 1 {
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return noResult
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}
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if result, err := json.Marshal(m); err != nil {
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return noResult
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} else {
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return result
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}
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}
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// UnmarshalEmbedding parses a single face embedding JSON.
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func UnmarshalEmbedding(s string) (result Embedding, err error) {
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if s == "" {
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return result, fmt.Errorf("cannot unmarshal embedding, empty string provided")
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} else if !strings.HasPrefix(s, "[") {
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return result, fmt.Errorf("cannot unmarshal embedding, invalid json provided")
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}
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err = json.Unmarshal([]byte(s), &result)
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return result, err
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}
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