def make_html():
out = open('color_samples.html', 'w')
out.write(HEADER)
colordata = make_lab_color_data()
names = colordata.keys()
names.sort()
for colorname in names:
colors = colordata[colorname]
freq = len(colors)
if freq >= 8:
samples = elect_samples(colors, 8)
if len(samples) == 8:
print colorname, samples
print >> out, "<tr>"
for sample in samples:
print >> out, '<td bgcolor="#%02x%02x%02x" width="32"> </td>' % sample
print >> out, '<td>%s (%d)</td>' % (colorname, freq)
print >> out, '</tr>'
out.write(FOOTER)
out.close()
import simplenlp
from metanl import english
import math, random
from luminoso3.background_space import get_commonsense_assoc
from colorizer.color_data import make_lab_color_data, lab_to_rgb, rgb_to_hsv
from colorizer.colorvote import weighted_elect_samples
ENGLISH = simplenlp.get('en')
ASSOC = get_commonsense_assoc('en', 100)
COLORDATA = {}
origdata = make_lab_color_data()
def importance_factor(colorname):
imp = 10000 / math.sqrt(english.word_frequency(colorname.split()[0], 1000000))
return int(imp)
for key, values in origdata.items():
subset_values = random.sample(values,
min(len(values), int(math.ceil(importance_factor(key)*math.sqrt(len(values))))))
COLORDATA[key] = subset_values
def output_colors(labcolors):
return [lab_to_rgb(c) for c in sorted(labcolors)]
class IncrementalColorizer(object):
def __init__(self, ncolors):
self.ncolors = ncolors
self.colors = [(128,128,128)] * ncolors
