def fetch(self, key=''):
if key == 'filename_raster':
# A raster filename holds the file in a raster graphic format
return self.fetch('filename')
elif key == 'filename_zxing':
return pathlib2.Path(self.fetch('filename_raster')).as_uri()
elif key == 'ndarray':
Image.MAX_IMAGE_PIXELS = self.config('max_decompressed_size')
try:
image_array = skimage.io.imread(self.fetch('filename_raster'))
if image_array.shape == (2,):
# Assume this is related to
# https://github.com/scikit-image/scikit-image/issues/2154
return image_array[0]
return image_array
except Image.DecompressionBombWarning:
logging.warn('The file "{0}" contains a lot of pixels and '
'can take a lot of memory when decompressed. '
'To allow larger images, modify the '
'"max_decompressed_size" config.'
.format(self.fetch('filename')))
# Use empty array as the file cannot be read.
return numpy.ndarray(0)
elif key == 'ndarray_grey':
with warnings.catch_warnings():
warnings.simplefilter("ignore")
return skimage.img_as_ubyte(
skimage.color.rgb2grey(self.fetch('ndarray')))
elif key == 'ndarray_hsv':
with warnings.catch_warnings():
warnings.simplefilter("ignore")
return skimage.img_as_ubyte(
skimage.color.rgb2hsv(self.fetch('ndarray_noalpha')))
elif key == 'ndarray_noalpha':
if self.is_type('alpha'):
return self.alpha_blend(self.fetch('ndarray'))
return self.fetch('ndarray')
elif key == 'pillow':
pillow_img = Image.open(self.fetch('filename_raster'))
self.closables.append(pillow_img)
return pillow_img
return super(ImageFile, self).fetch(key)
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