modify threshold

app.py

@@ -38,7 +38,7 @@ model.load_state_dict(torch.load(model_path))
 
 
 # Initialize MTCNN for face detection
-mtcnn = MTCNN(keep_all=True, min_face_size=12,device=device)
+mtcnn = MTCNN(keep_all=True, post_process=False, min_face_size=12, device=device)
 
 def align_face(frame):
     # Convert the frame to a PIL image if it's a numpy array
@@ -87,7 +87,7 @@ def process_images(image1, image2):
     embedding2 = embedding2.flatten()
     
     euclidean_dist = euclidean_distance(embedding1, embedding2)
-    is_match = euclidean_dist < 0.2
+    is_match = euclidean_dist < 0.3
     
     # Calculate confidence
     confidence = max(0.0, 1.0 - euclidean_dist / 1.0)  # Ensure confidence is between 0 and 1