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Merge pull request #761 from kemaleren/optimized_colorlabel
color.label2rgb() is much faster.
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@@ -66,7 +66,7 @@ def label2rgb(label, image=None, colors=None, alpha=0.3,
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colors = [_rgb_vector(c) for c in colors]
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if image is None:
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colorized = np.zeros(label.shape + (3,), dtype=np.float64)
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img_layer = np.zeros(label.shape + (3,), dtype=np.float64)
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# Opacity doesn't make sense if no image exists.
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alpha = 1
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else:
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@@ -77,11 +77,23 @@ def label2rgb(label, image=None, colors=None, alpha=0.3,
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warnings.warn("Negative intensities in `image` are not supported")
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image = img_as_float(rgb2gray(image))
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colorized = gray2rgb(image) * image_alpha + (1 - image_alpha)
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img_layer = gray2rgb(image) * image_alpha + (1 - image_alpha)
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# need to ensure that all labels are ints >= 0
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offset = label.min()
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if offset != 0:
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label -= offset
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bg_label -= offset
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new_type = np.min_scalar_type(label.max())
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if new_type == np.bool:
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new_type = np.uint8
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label = label.astype(new_type)
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labels = list(set(label.flat))
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color_cycle = itertools.cycle(colors)
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remove_background = bg_label in labels and bg_color is None
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if bg_label in labels:
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labels.remove(bg_label)
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if bg_color is not None:
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@@ -89,8 +101,18 @@ def label2rgb(label, image=None, colors=None, alpha=0.3,
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bg_color = _rgb_vector(bg_color)
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color_cycle = itertools.chain(bg_color, color_cycle)
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for c, i in zip(color_cycle, labels):
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mask = (label == i)
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colorized[mask] = c * alpha + colorized[mask] * (1 - alpha)
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if len(labels) == 0:
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return img_layer
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return colorized
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label_to_color = np.zeros((max(labels) + 1, 3))
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for lab, c in zip(labels, color_cycle):
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label_to_color[lab] = c
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label_layer = label_to_color[label]
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result = label_layer * alpha + img_layer * (1 - alpha)
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# remove background label if its color was not specified
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if remove_background:
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result[label == bg_label] = img_layer[label == bg_label]
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return result
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