from math import cos, tan, pi
from operator import itemgetter
+import colorsys
import ImageDraw
luma = [s[0] for s in board_raw]
saturation = [s[1] for s in board_raw]
pyplot.scatter(luma, saturation,
- color=[(s[2][0]/255.,
- s[2][1]/255.,
- s[2][2]/255., 1.)
- for s in board_raw])
+ color=[s[2] for s in board_raw])
pyplot.xlim(0,1)
pyplot.ylim(0,1)
fig.canvas.draw()
max_s1 = max(s[1] for s in board_raw)
min_s1 = min(s[1] for s in board_raw)
norm_s1 = lambda x: (x - min_s1) / (max_s1 - min_s1)
+ max_s1 = max(s[1] for s in board_raw)
+ min_s1 = min(s[1] for s in board_raw)
+ norm_s1 = lambda x: (x - min_s1) / (max_s1 - min_s1)
color_data = [(norm_s0(s[0]), norm_s1(s[1])) for s in board_raw]
clusters = k_means.cluster(3, 2,zip(color_data, range(len(color_data))),
norm = float(len(points))
if norm == 0:
return 0, 0, (0, 0, 0) #TODO trow exception here
+ norm = float(norm*255)
color = (sum(p[0] for p in points) / norm,
sum(p[1] for p in points) / norm,
sum(p[2] for p in points) / norm)
- luma, saturation = rgb2lumsat(color)
- return luma, saturation, color
+ hue, luma, saturation = colorsys.rgb_to_hls(*color)
+ color = colorsys.hls_to_rgb(hue, 0.5, 1.)
+ print color
+ return luma, saturation, color, hue