TypeError: 'int' object is not callable in np.random.seed

Question

I am trying to do data augmentation on 2018 Data Science Bowl previous competition on Kaggle. I am trying this code:

## Data augmentation
# Creating the training Image and Mask generator
image_datagen = image.ImageDataGenerator(shear_range=0.5, rotation_range=50, zoom_range=0.2, width_shift_range=0.2, height_shift_range=0.2, fill_mode='reflect')
mask_datagen = image.ImageDataGenerator(shear_range=0.5, rotation_range=50, zoom_range=0.2, width_shift_range=0.2, height_shift_range=0.2, fill_mode='reflect')

# Keep the same seed for image and mask generators so they fit together
image_datagen.fit(X_train[:int(X_train.shape[0]*0.9)], augment=True, seed=42)
mask_datagen.fit(Y_train[:int(Y_train.shape[0]*0.9)], augment=True, seed=42)

x=image_datagen.flow(X_train[:int(X_train.shape[0]*0.9)],batch_size=BATCH_SIZE,shuffle=True, seed=42)
y=mask_datagen.flow(Y_train[:int(Y_train.shape[0]*0.9)],batch_size=BATCH_SIZE,shuffle=True, seed=seed)



# Creating the validation Image and Mask generator
image_datagen_val = image.ImageDataGenerator()
mask_datagen_val = image.ImageDataGenerator()

image_datagen_val.fit(X_train[int(X_train.shape[0]*0.9):], augment=True, seed=seed)
mask_datagen_val.fit(Y_train[int(Y_train.shape[0]*0.9):], augment=True, seed=seed)

x_val=image_datagen_val.flow(X_train[int(X_train.shape[0]*0.9):],batch_size=BATCH_SIZE,shuffle=True, seed=seed)
y_val=mask_datagen_val.flow(Y_train[int(Y_train.shape[0]*0.9):],batch_size=BATCH_SIZE,shuffle=True, seed=seed)

This is the error message:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-126-6b608552652e> in <module>
      5 
      6 # Keep the same seed for image and mask generators so they fit together
----> 7 image_datagen.fit(X_train[:int(X_train.shape[0]*0.9)], augment=True, seed=42)
      8 mask_datagen.fit(Y_train[:int(Y_train.shape[0]*0.9)], augment=True, seed=42)
      9 

~\Anaconda3\lib\site-packages\keras_preprocessing\image\image_data_generator.py in fit(self, x, augment, rounds, seed)
    941 
    942         if seed is not None:
--> 943             np.random.seed(seed)
    944 
    945         x = np.copy(x)

TypeError: 'int' object is not callable

The error as I understood is in the seed parameter in image_datagen.fit. The error message shows some internal problem in the fit code, as far as I'm concerned. I don't understand why.

I have explored other similar questions but I found none of them is suitable for my issue.

These are the solutions that I've read:

Getting TypeError: 'int' object is not callable

Python "int object is not callable"

class method TypeError "Int object not callable"

Answer 1

Make sure you not assign np.random.seed to some integer somewhere in your script

Like this:

np.random.seed = 42

Answer 2

You have initialized the seed value like this:

np.random.seed = 42

instead try this:

np.random.seed(42)

and run the full code again