def paletteAnalysis(url):
colorListRGB = imaging.fetch_and_extract_colors(url)
colorListYUV = []
for color in colorListRGB:
#construct YUV object
YUV = imaging.rgb_to_yuv(color)
colorListYUV.append(YUV)
return colorListYUV
def paletteAnalysis(url):
colorListRGB = imaging.fetch_and_extract_colors(url)
colorListYUV = []
for color in colorListRGB:
#construct YUV object
YUV = imaging.rgb_to_yuv(color)
colorListYUV.append(YUV)
return colorListYUV
def GET(self):
i = web.input()
colors = str(i.colors)
colors = json.loads(colors)
limit = int(i.limit)
treeName = str(i.treeName)
response = []
totalScore = {}
for c in colors:
RGB = imaging.hex_to_rgb(c)
color = imaging.rgb_to_yuv(RGB)
matchList = lookup(color['value'], limit, treeName)
matchList.sort(key=lambda col: col['score'] * 1 /
(k.square_distance(color['value'], col['value'])),
reverse=True)
#print matchList
checkDuplicates = set()
#response = []
for col in matchList:
if (not (col['url'] in checkDuplicates)):
checkDuplicates.add(col['url'])
#response.append(col)
if (not (col['url'] in totalScore)):
total = col['score'] * 1 / (k.square_distance(
color['value'], col['value']))
col['total'] = total
totalScore[col['url']] = col
else:
total = totalScore[col['url']][
'total'] + col['score'] * 1 / (k.square_distance(
color['value'], col['value']))
col['total'] = total
totalScore[col['url']] = col
print 'totalscore.values'
response = totalScore.values()
response.sort(key=lambda col: col['total'], reverse=True)
response = json.dumps(response)
if ('callback' in dir(i)):
callback = str(i.callback)
return "%s(%s)" % (callback, response)
else:
return response
def GET(self):
i = web.input()
colors = str(i.colors)
colors = json.loads(colors)
limit = int(i.limit)
treeName = str(i.treeName)
response = []
totalScore = {}
for c in colors:
RGB = imaging.hex_to_rgb(c)
color = imaging.rgb_to_yuv(RGB)
matchList = lookup(color['value'], limit, treeName)
matchList.sort(key = lambda col: col['score'] * 1/(k.square_distance(color['value'], col['value'])) , reverse = True)
#print matchList
checkDuplicates = set()
#response = []
for col in matchList:
if (not (col['url'] in checkDuplicates)):
checkDuplicates.add(col['url'])
#response.append(col)
if (not (col['url'] in totalScore)):
total = col['score'] * 1/(k.square_distance(color['value'], col['value']))
col['total'] = total
totalScore[col['url']] = col
else:
total = totalScore[col['url']]['total'] + col['score'] * 1/(k.square_distance(color['value'], col['value']))
col['total'] = total
totalScore[col['url']] = col
print 'totalscore.values'
response = totalScore.values()
response.sort(key = lambda col: col['total'] , reverse = True)
response = json.dumps(response)
if('callback' in dir(i)):
callback = str(i.callback)
return "%s(%s)" % (callback, response)
else:
return response
