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@@ -1,5 +1,6 @@
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import os
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+from ipfml.processing import transform
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from ipfml.processing import reconstruction
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from ipfml.filters import convolution, kernels
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from ipfml import utils
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@@ -28,7 +29,8 @@ class Transformation():
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if self.transformation == 'diff_filter':
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w_size, h_size = list(map(int, self.param.split(',')))
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# bilateral with window of size (`w_size`, `h_size`)
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- data = convolution.convolution2D(img, kernels.bilateral_diff, (w_size, h_size))
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+ lab_img = transform.get_LAB_L(img)
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+ data = convolution.convolution2D(lab_img, kernels.bilateral_diff, (w_size, h_size))
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if self.transformation == 'static':
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# static content, we keep input as it is
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