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@@ -26,11 +26,11 @@ class Transformation():
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n_components = self.param
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data = reconstruction.fast_ica(img, n_components)
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- if self.transformation == 'diff_filter':
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+ if self.transformation == 'min_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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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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+ data = convolution.convolution2D(lab_img, kernels.min_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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@@ -54,7 +54,7 @@ class Transformation():
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n_components = self.param
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path = os.path.join(path, 'N' + str(n_components))
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- if self.transformation == 'diff_filter':
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+ if self.transformation == 'min_diff_filter':
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w_size, h_size = list(map(int, self.param.split(',')))
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path = os.path.join(path, 'W_' + str(w_size)) + '_' + str(h_size)
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