cargar modelo vgg-face

app.py

@@ -12,7 +12,10 @@ from tensorflow.keras.layers import Dense, BatchNormalization, Activation, Dropo
 
 # Cargar el modelo preentrenado y otros recursos necesarios
 model_path = './face_classifier_model.h5'
-vgg_face = tf.keras.applications.VGG16(weights='imagenet', include_top=False, pooling='avg')
+# Cargar el modelo VGG-Face
+vgg_face_path = './vgg_face_model.h5'
+vgg_face = load_model(vgg_face_path)
+
 dnnFaceDetector = dlib.cnn_face_detection_model_v1("mmod_human_face_detector.dat")
 
 # Cargar el modelo sin compilar

vgg_face_model.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98a199deb2628a8f0c39b4142a338248b104e1749225b6963c1c7b41fbe20991
+size 580104848