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authorGravatar zxcqwe4906 <b00902042@ntu.edu.tw>2017-11-22 15:13:18 +0800
committerGravatar Gunhan Gulsoy <gunan@google.com>2017-11-21 23:13:18 -0800
commit5fbda9d8da7b98f62e83a392f047adf307b48b02 (patch)
tree6f0382b513af992e9f724d044a2275d52a0c201c /tensorflow/examples/udacity
parent4ddc2866e2ae1aa4ac4b345fccd97990b6ccca01 (diff)
Change ndimage.imread to imageio.imread. (#14710)
Scipy will not support imread from 1.0.0 as its document says: https://docs.scipy.org/doc/scipy-1.0.0/reference/generated/scipy.misc.imread.html Change to imageio.imread and add its correspond exception.
Diffstat (limited to 'tensorflow/examples/udacity')
-rw-r--r--tensorflow/examples/udacity/1_notmnist.ipynb6
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/examples/udacity/1_notmnist.ipynb b/tensorflow/examples/udacity/1_notmnist.ipynb
index 39674e1aa4..dffe5d37c6 100644
--- a/tensorflow/examples/udacity/1_notmnist.ipynb
+++ b/tensorflow/examples/udacity/1_notmnist.ipynb
@@ -46,13 +46,13 @@
"# These are all the modules we'll be using later. Make sure you can import them\n",
"# before proceeding further.\n",
"from __future__ import print_function\n",
+ "import imageio\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import os\n",
"import sys\n",
"import tarfile\n",
"from IPython.display import display, Image\n",
- "from scipy import ndimage\n",
"from sklearn.linear_model import LogisticRegression\n",
"from six.moves.urllib.request import urlretrieve\n",
"from six.moves import cPickle as pickle\n",
@@ -325,13 +325,13 @@
" for image in image_files:\n",
" image_file = os.path.join(folder, image)\n",
" try:\n",
- " image_data = (ndimage.imread(image_file).astype(float) - \n",
+ " image_data = (imageio.imread(image_file).astype(float) - \n",
" pixel_depth / 2) / pixel_depth\n",
" if image_data.shape != (image_size, image_size):\n",
" raise Exception('Unexpected image shape: %s' % str(image_data.shape))\n",
" dataset[num_images, :, :] = image_data\n",
" num_images = num_images + 1\n",
- " except IOError as e:\n",
+ " except (IOError, ValueError) as e:\n",
" print('Could not read:', image_file, ':', e, '- it\\'s ok, skipping.')\n",
" \n",
" dataset = dataset[0:num_images, :, :]\n",