Removed dlib detectot backend

app.py

@@ -10,10 +10,13 @@ uri = f"mongodb+srv://{credentials}@cluster0.uimyui3.mongodb.net/?retryWrites=tr
 client = MongoClient(uri)
 db = client["Face_identification"]
 identities_collection = db["face_identities"]
+model_name="Facenet"
+threshold = findThreshold(model_name , "cosine")
+debug=False
 
 def save_identity(image , name):
   try:
-    embeddings = DeepFace.represent(image , model_name="Facenet")
+    embeddings = DeepFace.represent(image , model_name=model_name)
     embeddings = embeddings[0]
 
     identity = {"embeddings":embeddings["embedding"] , "name" : name }
@@ -50,10 +53,6 @@ def findThreshold(model_name, distance_metric):
 
     return threshold
 
-model_name="Facenet"
-threshold = findThreshold(model_name , "cosine")
-debug=False
-
 def predict_image(image):
     if debug: 
       print("1")
@@ -68,7 +67,6 @@ def predict_image(image):
     target_embedding_array = DeepFace.represent(
         img_path=image,
         model_name=model_name,
-        detector_backend="dlib",
     )
     identities = []
     # for each face compare its embeddings with all face embeddings in database