Expand description
§yscv-recognize
Face and object recognition with embedding matching and VP-Tree approximate nearest neighbor search.
ⓘ
use yscv_recognize::*;
let mut recognizer = Recognizer::new();
recognizer.enroll("alice", &embedding_alice);
recognizer.enroll("bob", &embedding_bob);
let matches = recognizer.identify(&query_embedding, 0.7);
// matches[0].label == "alice", matches[0].score == 0.95§Features
- Cosine similarity matching between embeddings
- VP-Tree (Vantage Point Tree) for fast approximate nearest neighbor
- Gallery management: enroll, remove, snapshot, restore
- Serializable: save/load gallery as JSON
§Tests
16 tests covering enrollment, matching, gallery persistence.
Modules§
Structs§
- Identity
Embedding - Identity
Snapshot - Recognition
- Recognizer
- Recognizer
Snapshot - VpTree
- Vantage-point tree for approximate nearest-neighbor search.