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392781 2020-08-18 14:59:31 -07:00
parent 6f3e77b617
commit 9c0f98aa59
1 changed files with 3 additions and 1 deletions
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src/PIL/Image.py
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@ -1287,7 +1287,6 @@ class Image:
:returns: An unsorted list of (pixel) values. :returns: An unsorted list of (pixel) values.
""" """
self.load()
if self.mode in ("F", "I", "L", "P"): if self.mode in ("F", "I", "L", "P"):
channels = 1 channels = 1
elif self.mode in ("RGB", "YCbCr", "LAB", "HSV"): elif self.mode in ("RGB", "YCbCr", "LAB", "HSV"):
@ -1314,11 +1313,13 @@ class Image:
# Formatted as (pixel_cluster, center) # Formatted as (pixel_cluster, center)
centroids.append(([pixels_and_counts[i]], pixels_and_counts[i][0])) centroids.append(([pixels_and_counts[i]], pixels_and_counts[i][0]))
# Begin k-means clustering
for iter in range(maxiter): for iter in range(maxiter):
cluster = {} cluster = {}
for i in range(numcolors): for i in range(numcolors):
cluster[i] = [] cluster[i] = []
# Calculates all pixel distances from each center to add to the cluster
for pixel in pixels_and_counts: for pixel in pixels_and_counts:
smallest_distance = float("Inf") smallest_distance = float("Inf")
@ -1330,6 +1331,7 @@ class Image:
cluster[idx].append(pixel) cluster[idx].append(pixel)
# Adjusting the center of each cluster
difference = 0 difference = 0
for i in range(numcolors): for i in range(numcolors):
previous = centroids[i][1] previous = centroids[i][1]