podprojekt kacper update

uczenie_kacper.py

@@ -4,6 +4,7 @@ from keras.models import Sequential
 from keras.layers import Conv2D, MaxPooling2D
 from keras.layers import Activation, Dropout, Flatten, Dense, BatchNormalization
 from keras import backend as K
+
 img_width, img_height = 299, 299
 
 train_data_dir = 'resources/zbior_uczacy'
@@ -13,9 +14,8 @@ nb_validation_samples = 1574
 epochs = 1
 batch_size = 16
 
+
 def stworzModel():
-
-
     if K.image_data_format() == 'channels_first':
         input_shape = (3, img_width, img_height)
     else:
@@ -42,6 +42,7 @@ def stworzModel():
     model.add(Activation('softmax'))
     return model
 
+
 def trainModel():
     model = stworzModel()
     model.compile(loss='categorical_crossentropy',
@@ -80,6 +81,7 @@ def trainModel():
 
     model.save_weights('nowy_wytrenowany.h5')
 
+
 def przewidz(path):
     model = stworzModel()
     model.load_weights('wytrenowany.h5')
@@ -97,4 +99,3 @@ def przewidz(path):
         return "paper"
     elif kategoria == 3:
         return "plastic"
-