Merged with Jenkins

ui/agender_ui/login_signup/views.py

@@ -30,32 +30,32 @@
 
 # Create your views here.
 
-# def age_model():
-#     model = tf.keras.Sequential()
-#     model.add(tf.keras.layers.Conv2D(
-#         64, 3, activation='relu', input_shape=(200, 200, 3)))
-#     model.add(tf.keras.layers.MaxPool2D())
-#     model.add(tf.keras.layers.Conv2D(128, 3, activation='relu'))
-#     model.add(tf.keras.layers.MaxPool2D())
-#     model.add(tf.keras.layers.Conv2D(256, 3, activation='relu'))
-#     model.add(tf.keras.layers.MaxPool2D())
-#     model.add(tf.keras.layers.Flatten())
-#     model.add(tf.keras.layers.Dense(1024, activation='relu'))
-#     model.add(tf.keras.layers.Dropout(0.1))
-#     model.add(tf.keras.layers.Dense(512, activation='relu'))
-#     model.add(tf.keras.layers.Dropout(0.1))
-#     model.add(tf.keras.layers.Dense(512, activation='relu'))
-#     model.add(tf.keras.layers.Dropout(0.1))
-#     model.add(tf.keras.layers.Dense(20, activation='softmax'))
-#     model.compile(optimizer='sgd',
-#                   loss=tf.losses.SparseCategoricalCrossentropy(
-#                       from_logits=False),
-#                   metrics=['accuracy'])
-#     model.load_weights('./models/checkpoint')
-#     return model
-
-
-# model = age_model()
+def age_model():
+    model = tf.keras.Sequential()
+    model.add(tf.keras.layers.Conv2D(
+        64, 3, activation='relu', input_shape=(200, 200, 3)))
+    model.add(tf.keras.layers.MaxPool2D())
+    model.add(tf.keras.layers.Conv2D(128, 3, activation='relu'))
+    model.add(tf.keras.layers.MaxPool2D())
+    model.add(tf.keras.layers.Conv2D(256, 3, activation='relu'))
+    model.add(tf.keras.layers.MaxPool2D())
+    model.add(tf.keras.layers.Flatten())
+    model.add(tf.keras.layers.Dense(1024, activation='relu'))
+    model.add(tf.keras.layers.Dropout(0.1))
+    model.add(tf.keras.layers.Dense(512, activation='relu'))
+    model.add(tf.keras.layers.Dropout(0.1))
+    model.add(tf.keras.layers.Dense(512, activation='relu'))
+    model.add(tf.keras.layers.Dropout(0.1))
+    model.add(tf.keras.layers.Dense(20, activation='softmax'))
+    model.compile(optimizer='sgd',
+                  loss=tf.losses.SparseCategoricalCrossentropy(
+                      from_logits=False),
+                  metrics=['accuracy'])
+    model.load_weights('./models/checkpoint')
+    return model
+
+
+model = age_model()
 
 
 def signup(request):
@@ -244,10 +244,10 @@ def form(request):
 #     return render(request, 'webcam.html')
 
 
-@ csrf_exempt
-def save_form(request):
-    if request.method == 'POST':
-        pass
+# @ csrf_exempt
+# def save_form(request):
+#     if request.method == 'POST':
+#         pass
 
 @csrf_exempt
 def save_formdata(request):