I am doing a deep learning course on udacity. For the first assignment whenI tried to run the script which is below the problem 1 , I got this error. So I tried to uninstall PIL and pillow and then installed these individually but I didnot succeeded. I need help guy. I am using tensorflow docker image with python notebook.
# These are all the modules we'll be using later. Make sure you can import them # before proceeding further. from __future__ import print_function import matplotlib.pyplot as plt import numpy as np import os import sys import scipy import tarfile from IPython.display import display, Image from scipy import ndimage from sklearn.linear_model import LogisticRegression from six.moves.urllib.request import urlretrieve from six.moves import cPickle as pickle # Config the matplotlib backend as plotting inline in IPython %matplotlib inline url = 'http://commondatastorage.googleapis.com/books1000/' last_percent_reported = None def download_progress_hook(count, blockSize, totalSize): percent = int(count * blockSize * 100 / totalSize) if last_percent_reported != percent: if percent % 5 == 0: sys.stdout.write("%s%%" % percent) sys.stdout.flush() else: sys.stdout.write(".") sys.stdout.flush() last_percent_reported = percent
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/udacity/1_notmnist.ipynb
You can see the code here. I got error in the code block after problem 1 Error Image
I tried each and everything describe here in these two links or solutions:
Solution 1 on stackoverflow
Solution 2 on stackoverflow
Operating System:
using docker and tensorflow is installed in a container with IPython notebook.
The output from python -c "import tensorflow; print(tensorflow.version)".
0.11.0
pip install pillow
Then replace from IPython.display import display, Image
with from IPython.display import display
from PIL import Image
I met the same problem. But I am using a different setting for the tensorflow. OS: Ubuntu 14.04 LTS. Installation using Anaconda. I solved it by following the warnings in Pillow installation. It may not be useful for a docker installation of tensorflow though.
Here are the steps I did. First enter the tensorflow environment,
source activate tensorflow
Then uninstall PIL and install Pillow
conda uninstall PIL conda install Pillow
Then in the provided code, replace
from IPython.display import display, Image
by
from IPython.display import display from PIL import Image
That's all. Re-run the code and it works without PIL error.
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