Upload images on Colab, resize and predict classification

gistfile1.txt

from google.colab import files

uploaded = files.upload()

for fn in uploaded.keys():
  print('User uploaded file "{name}" with length {length} bytes'.format(
      name=fn, length=len(uploaded[fn])))
      
dog = uploaded['dog.jpg']
img = cv2.imdecode(np.frombuffer(dog, np.uint8), cv2.IMREAD_COLOR) 

from scipy.misc import imresize
newImg = imresize(img,(140,140))

plt.imshow(newImg)
plt.show()

# Add one extra dimension due to the input shape restriction
newImg = np.expand_dims(newImg, axis=0)
model2.predict(newImg)