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Resolved issues generating images and blurred image option. #20

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Resolved issues generating images and blurred image option. #20

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10 changes: 8 additions & 2 deletions main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,8 @@
from ops.noise import Noise
from ops.translate import Translate
from skimage.io import imread, imsave
import numpy as np
from skimage.exposure import rescale_intensity

EXTENSIONS = ['png', 'jpg', 'jpeg', 'bmp']
WORKER_COUNT = max(os.cpu_count() - 1, 1)
Expand All @@ -36,14 +38,18 @@ def build_augmented_file_name(original_name, ops):

def work(d, f, op_lists):
try:
in_path = os.path.join(d,f)
in_path = os.path.join(d, f)
for op_list in op_lists:
out_file_name = build_augmented_file_name(f, op_list)
if isfile(os.path.join(d,out_file_name)):
if isfile(os.path.join(d, out_file_name)):
continue
img = imread(in_path)
for op in op_list:
img = op.process(img)

# Convert image data type to uint8 before saving
img = rescale_intensity(img, out_range=(0, 255))
img = img.astype(np.uint8)
imsave(os.path.join(d, out_file_name), img)

counter.processed()
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4 changes: 2 additions & 2 deletions ops/blur.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,8 +11,8 @@ def __init__(self, sigma):
self.sigma = sigma

def process(self, img):
is_colour = len(img.shape)==3
return rescale_intensity(gaussian(img, sigma=self.sigma, multichannel=is_colour))
is_colour = len(img.shape) == 3
return gaussian(img, sigma=self.sigma, channel_axis=-1 if is_colour else None)

@staticmethod
def match_code(code):
Expand Down