I am using transfer learning for feature extraction of medical images through imagedatagenerator. I am using pillow version 2.8.0, images are one-channeled and of jpeg format. SciPy version 1.5.4 shows to be installed on my IDE. The code is as:
import os, glob
import numpy as np
import matplotlib.pyplot as plt
import cv2
import nibabel as nib
import tensorflow as tf
from tensorflow.keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img
from tensorflow import keras
from keras.models import load_model
from keras import backend as K
from keras.applications.vgg16 import VGG16
import os
import cv2
from PIL import Image
import numpy as np
import scipy
from matplotlib import pyplot as plt
batch_size = 64
train_datagen = ImageDataGenerator(rescale=1./255)
train_generator = train_datagen.flow_from_directory(
'/home/idu/Desktop/COV19D/train/',
target_size=(512, 512),
batch_size=batch_size,
classes = ['covid','non-covid'],
class_mode='binary')
The transfer learning model is as follows:
SIZE = 512
VGG_model = VGG16(include_top=False, weights=None, input_shape=(SIZE, SIZE, 1))
for layer in VGG_model.layers:
layer.trainable = False
feature_extractor=VGG_model.predict(train_generator)
It used to throw the error __array__() takes 1 positional argument but 2 were given?
But that was fixed by downgrading the pillow version to the version mentioned above. Now, however, the last code throws the error:
Traceback (most recent call last):
File "<ipython-input-120-b9bad68819ec>", line 1, in <module>
feature_extractor=VGG_model.predict(train_generator)
File "/home/idu/.local/lib/python3.6/site-packages/keras/engine/training.py", line 1681, in predict
steps_per_execution=self._steps_per_execution)
File "/home/idu/.local/lib/python3.6/site-packages/keras/engine/data_adapter.py", line 1348, in get_data_handler
return DataHandler(*args, **kwargs)
File "/home/idu/.local/lib/python3.6/site-packages/keras/engine/data_adapter.py", line 1150, in __init__
model=model)
File "/home/idu/.local/lib/python3.6/site-packages/keras/engine/data_adapter.py", line 793, in __init__
peek, x = self._peek_and_restore(x)
File "/home/idu/.local/lib/python3.6/site-packages/keras/engine/data_adapter.py", line 850, in _peek_and_restore
peek = next(x)
File "/home/idu/.local/lib/python3.6/site-packages/keras_preprocessing/image/iterator.py", line 104, in __next__
return self.next(*args, **kwargs)
File "/home/idu/.local/lib/python3.6/site-packages/keras_preprocessing/image/iterator.py", line 116, in next
return self._get_batches_of_transformed_samples(index_array)
File "/home/idu/.local/lib/python3.6/site-packages/keras_preprocessing/image/iterator.py", line 238, in _get_batches_of_transformed_samples
x = self.image_data_generator.apply_transform(x, params)
File "/home/idu/.local/lib/python3.6/site-packages/keras_preprocessing/image/image_data_generator.py", line 874, in apply_transform
order=self.interpolation_order)
File "/home/idu/.local/lib/python3.6/site-packages/keras_preprocessing/image/affine_transformations.py", line 281, in apply_affine_transform
raise ImportError('Image transformations require SciPy. '
ImportError: Image transformations require SciPy. Install SciPy.
I have installed and checked the SciPy version on my IDE and it seems to be fine, version '1.5.4'. How can I fix this error? Thank you.