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Added support for various image modes
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@ -1287,24 +1287,31 @@ class Image:
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:returns: An unsorted list of (pixel) values.
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"""
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def euclidean(p1, p2):
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return sum([(p1[i] - p2[i]) ** 2 for i in range(channels)])
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if self.mode in ("1", "L", "P"):
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self.load()
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if self.mode in ("F", "I", "L", "P"):
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channels = 1
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elif self.mode in ("RGB", "YCbCr", "LAB", "HSV"):
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channels = 3
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elif self.mode in ("RGBA", "CMYK"):
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channels = 4
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else:
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tb = sys.exc_info()[2]
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raise ValueError("Unsupported image mode").with_traceback(tb)
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w, h = self.size()
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def euclidean(p1, p2):
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if channels == 1:
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return (p1 - p2) ** 2
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return sum([(p1[i] - p2[i]) ** 2 for i in range(channels)])
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w, h = self.size
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pixels_and_counts = []
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for count, color in self.im.getcolors(w * h):
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for count, color in self.getcolors(w * h):
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pixels_and_counts.append((color, count))
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centroids = []
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for i in range(numcolors):
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# Formatted as (pixel_cluster, center)
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centroids.append(([pixels_and_counts[i]], pixels_and_counts[i][0]))
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for iter in range(maxiter):
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@ -1326,22 +1333,34 @@ class Image:
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difference = 0
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for i in range(numcolors):
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previous = centroids[i][1]
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pixel_sum = [0.0 for i in range(channels)]
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count_sum = 0
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for pixel in cluster[i]:
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count_sum += pixel[1]
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for channel in range(channels):
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pixel_sum[channel] += pixel[0][channel] * pixel[1]
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if channels == 1:
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pixel_sum = 0.0
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for pixel in cluster[i]:
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count_sum += pixel[1]
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pixel_sum += pixel[0] * pixel[1]
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current = pixel_sum / count_sum
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else:
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pixel_sum = [0.0 for i in range(channels)]
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for pixel in cluster[i]:
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count_sum += pixel[1]
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for channel in range(channels):
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pixel_sum[channel] += pixel[0][channel] * pixel[1]
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current = [(channel_sum / count_sum) for channel_sum in pixel_sum]
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current = [(channel_sum / count_sum) for channel_sum in pixel_sum]
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centroids[i] = (cluster[i], current)
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difference = max(difference, euclidean(previous, current))
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if difference < threshold:
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break
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return [tuple(map(int, center[1])) for center in centroids]
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if self.mode == "F":
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return [center[1] for center in centroids]
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elif self.mode in ("I", "L", "P"):
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return [int(center[1]) for center in centroids]
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else:
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return [tuple(map(int, center[1])) for center in centroids]
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def getextrema(self):
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"""
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