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upgrading from scipy image functions (deprecated) to scikit-learn #1

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upgrading from scipy image functions (deprecated) to scikit-learn #1

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14 changes: 7 additions & 7 deletions data_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,9 +4,10 @@
import subprocess

import numpy as np
from scipy.misc import imresize
from scipy.misc import imrotate
from scipy.ndimage import imread
from skimage.transform import resize
from skimage.transform import rotate
from skimage.color import rgb2gray
from imageio import imread
import tensorflow as tf


Expand Down Expand Up @@ -34,12 +35,12 @@ def crawl_directory(directory, augment_with_rotations=False, first_label=0):

for file_name in files:
full_file_name = os.path.join(root, file_name)
img = imread(full_file_name, flatten=True)
img = rgb2gray(imread(full_file_name))
for idx, angle in enumerate([0, 90, 180, 270]):
if not augment_with_rotations and idx > 0:
break

images.append(imrotate(img, angle))
images.append(rotate(img, angle))
labels.append(label_idx + idx)
info.append(full_file_name)

Expand All @@ -53,9 +54,8 @@ def resize_images(images, new_width, new_height):
resized_images = np.zeros([images.shape[0], new_width, new_height], dtype=np.float32)

for idx in range(images.shape[0]):
resized_images[idx, :, :] = imresize(images[idx, :, :],
resized_images[idx, :, :] = resize(images[idx, :, :],
[new_width, new_height],
interp='bilinear',
mode=None)
return resized_images

Expand Down