batch_size = x.shape[0] AttributeError: 'tuple' object has no attribute 'shape'

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This code combine image and mask for image detection?
How can i correct that error?

batch_size = x.shape[0] AttributeError: 'tuple' object has no attribute 'shape'

This is the code used for training: 

train_datagen = ImageDataGenerator(
            rescale=1. / 255,
            shear_range=0.2,
            zoom_range=0.2,
            horizontal_flip=True)
train_datagen_1 = ImageDataGenerator(
            rescale=1. / 255,
            shear_range=0.2,
            zoom_range=0.2,
            horizontal_flip=True)


train_generator = train_datagen.flow_from_directory(
            train_data_dir,
            target_size=(200, 150),
            batch_size=1
          )
train_generator_1= train_datagen_1.flow_from_directory(
            train_data_dir_1,
            target_size=(200, 150),
            batch_size=1)
train_generator_2 = zip( train_generator, train_generator_1)

model.fit_generator(
            train_generator_2,
            steps_per_epoch=nb_train_samples // batch_size,
            epochs=50)

This is the model I'm using:

model = Sequential() 
model.add(Conv2D(32, (3, 3), input_shape=(200, 150, 3))) 
model.add(Activation('relu')) 
model.add(MaxPooling2D(pool_size=(2, 2))) 
model.add(Flatten()) 
model.add(Dense(20)) model.add(Activation('relu')) 
model.add(Dropout(0.5)) 
model.add(Dense(90000)) 
model.add(Activation('sigmoid')) 
model.compile(loss='mse', optimizer='rmsprop', metrics=['accuracy'])
keras deep-learning machine-learning python
3 Answers

Adding class_mode=None from flow_from_directory() could get it fixed:

 from keras.preprocessing.image import ImageDataGenerator

 train_datagen = ImageDataGenerator(
      rescale=1./255,
      shear_range=0.2,
      zoom_range=0.2,
      horizontal_flip=True)

 train_image_generator = train_datagen.flow_from_directory('path/to/data',
      target_size=(256, 256), 
      class_mode=None, 
      batch_size=4)
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