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feature improvement: improved performance of ImageDraw.floodfill with Python built-in set() datatype.
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@ -341,6 +341,7 @@ def floodfill(image, xy, value, border=None, thresh=0):
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homogeneous, but similar, colors.
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"""
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# based on an implementation by Eric S. Raymond
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# amended by yo1995 @20180806
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pixel = image.load()
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x, y = xy
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try:
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@ -350,12 +351,15 @@ def floodfill(image, xy, value, border=None, thresh=0):
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pixel[x, y] = value
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except (ValueError, IndexError):
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return # seed point outside image
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edge = [(x, y)]
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edge = {(x, y)}
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full_edge = set() # use a set to record each unique pixel processed
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if border is None:
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while edge:
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newedge = []
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for (x, y) in edge:
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new_edge = set()
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for (x, y) in edge: # 4 adjacent method
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for (s, t) in ((x+1, y), (x-1, y), (x, y+1), (x, y-1)):
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if (s, t) in full_edge:
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continue # if already processed, skip
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try:
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p = pixel[s, t]
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except IndexError:
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@ -363,13 +367,17 @@ def floodfill(image, xy, value, border=None, thresh=0):
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else:
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if _color_diff(p, background) <= thresh:
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pixel[s, t] = value
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newedge.append((s, t))
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edge = newedge
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new_edge.add((s, t))
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full_edge.add((s, t))
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full_edge = edge # do not record useless pixels to reduce memory consumption
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edge = new_edge
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else:
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while edge:
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newedge = []
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new_edge = set()
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for (x, y) in edge:
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for (s, t) in ((x+1, y), (x-1, y), (x, y+1), (x, y-1)):
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if (s, t) in full_edge:
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continue
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try:
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p = pixel[s, t]
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except IndexError:
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@ -377,7 +385,9 @@ def floodfill(image, xy, value, border=None, thresh=0):
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else:
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if p != value and p != border:
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pixel[s, t] = value
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newedge.append((s, t))
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new_edge.add((s, t))
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full_edge.add((s, t))
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full_edge = edge
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edge = newedge
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