enforce tf 2.12 or less

deepface/basemodels/FbDeepFace.py

@@ -23,7 +23,6 @@ if tf_major == 1:
         Flatten,
         Dense,
         Dropout,
-        LocallyConnected2D,
     )
 else:
     from tensorflow.keras.models import Model, Sequential
@@ -33,7 +32,6 @@ else:
         Flatten,
         Dense,
         Dropout,
-        LocallyConnected2D,
     )
 
 
@@ -45,6 +43,14 @@ class DeepFaceClient(FacialRecognition):
     """
 
     def __init__(self):
+        # DeepFace requires tf 2.12 or less
+        if tf_major == 2 and tf_minor > 12:
+            # Ref: https://github.com/serengil/deepface/pull/1079
+            raise ValueError(
+                "DeepFace model requires LocallyConnected2D but it is no longer supported"
+                f" after tf 2.12 but you have {tf_major}.{tf_minor}. You need to downgrade your tf."
+            )
+
         self.model = load_model()
         self.model_name = "DeepFace"
         self.input_shape = (152, 152)
@@ -69,6 +75,13 @@ def load_model(
     """
     Construct DeepFace model, download its weights and load
     """
+    # we have some checks for this dependency in the init of client
+    # putting this in global causes library initialization
+    if tf_major == 1:
+        from keras.layers import LocallyConnected2D
+    else:
+        from tensorflow.keras.layers import LocallyConnected2D
+
     base_model = Sequential()
     base_model.add(
         Convolution2D(32, (11, 11), activation="relu", name="C1", input_shape=(152, 152, 3))