feat(compare): add face comparison functionality with cosine similarity

src/faceembed/facenet.rs

@@ -4,6 +4,7 @@ pub mod ort;
 use crate::errors::*;
 use error_stack::ResultExt;
 use ndarray::{Array1, Array2, ArrayView3, ArrayView4};
+use ndarray_math::{CosineSimilarity, EuclideanDistance};
 
 /// Configuration for face embedding processing
 #[derive(Debug, Clone, PartialEq)]
@@ -32,9 +33,9 @@ impl FaceEmbeddingConfig {
 impl Default for FaceEmbeddingConfig {
     fn default() -> Self {
         Self {
-            input_width: 160,
-            input_height: 160,
-            normalize: true,
+            input_width: 320,
+            input_height: 320,
+            normalize: false,
         }
     }
 }
@@ -63,15 +64,14 @@ impl FaceEmbedding {
 
     /// Calculate cosine similarity with another embedding
     pub fn cosine_similarity(&self, other: &FaceEmbedding) -> f32 {
-        let dot_product = self.vector.dot(&other.vector);
-        let norm_self = self.vector.mapv(|x| x * x).sum().sqrt();
-        let norm_other = other.vector.mapv(|x| x * x).sum().sqrt();
-        dot_product / (norm_self * norm_other)
+        self.vector.cosine_similarity(&other.vector).unwrap_or(0.0)
     }
 
     /// Calculate Euclidean distance with another embedding
     pub fn euclidean_distance(&self, other: &FaceEmbedding) -> f32 {
-        (&self.vector - &other.vector).mapv(|x| x * x).sum().sqrt()
+        self.vector
+            .euclidean_distance(other.vector.view())
+            .unwrap_or(f32::INFINITY)
     }
 
     /// Normalize the embedding vector to unit length