def scaled_rgb(hex_color, component=None, factor=1.0):
rgb_color = RGBColor()
rgb_color.set_from_rgb_hex(hex_color)
values = list(map(lambda x: factor * (x / 255), rgb_color.get_value_tuple()))
if component is None:
return '{} {} {}'.format(*rgb_color.get_value_tuple())
else:
comp_idx = ('R', 'G', 'B').index(component)
return '{}'.format(values[comp_idx])
def scaled_rgb(hex_color, component=None, factor=1.0):
rgb_color = RGBColor()
rgb_color.set_from_rgb_hex(hex_color)
values = list(
map(lambda x: factor * (x / 255), rgb_color.get_value_tuple()))
if component is None:
return '{} {} {}'.format(*rgb_color.get_value_tuple())
else:
comp_idx = ('R', 'G', 'B').index(component)
return '{}'.format(values[comp_idx])
def db_insert(filename, url, palette, rssid):
if db[COLLECTION].find({'opedid':filename}).count() > 0:
return
doc = {}
doc['opedid'] = filename
doc['url'] = url
# rgbs = []
labs = []
prominences = []
for color in palette.colors:
# rgbs.append(list(color.value))
prominences.append(color.prominence)
lab_color = RGBColor(*color.value).convert_to('lab')
labs.append(list(lab_color.get_value_tuple()))
# Rotate arrays
# rgbs = zip(*rgbs)
labs = zip(*labs)
#doc['r'] = rgbs[0]
#doc['g'] = rgbs[1]
#doc['b'] = rgbs[2]
doc['l'] = labs[0]
doc['a'] = labs[1]
doc['b'] = labs[2]
doc['prominence'] = prominences
doc['rssid'] = rssid
db[COLLECTION].insert(doc, safe=True)
def db_insert(filename, url, palette, rssid):
if db[COLLECTION].find({'opedid': filename}).count() > 0:
return
doc = {}
doc['opedid'] = filename
doc['url'] = url
# rgbs = []
labs = []
prominences = []
for color in palette.colors:
# rgbs.append(list(color.value))
prominences.append(color.prominence)
lab_color = RGBColor(*color.value).convert_to('lab')
labs.append(list(lab_color.get_value_tuple()))
# Rotate arrays
# rgbs = zip(*rgbs)
labs = zip(*labs)
#doc['r'] = rgbs[0]
#doc['g'] = rgbs[1]
#doc['b'] = rgbs[2]
doc['l'] = labs[0]
doc['a'] = labs[1]
doc['b'] = labs[2]
doc['prominence'] = prominences
doc['rssid'] = rssid
db[COLLECTION].insert(doc, safe=True)
def color(v, echelle, tohex=True):
""" Retourne la couleur d'une valeur intermediaire. """
# Utilisation d'un régression linéaire des valeurs HSV (hue, saturation, value)
# de 2 couleurs (même méthode que l'algorithme Lab-LCH d'ArcGIS).
keys = echelle.keys()
keys.sort()
if v < min(keys): v = min(keys)
if v > max(keys): v = max(keys)
if v in keys:
rgb = RGBColor(*echelle[v])
if tohex: return rgb.get_rgb_hex()
else: return rgb.get_value_tuple()
kmin, kmax = None, None
vmin, vmax = None, None
for i in range(len(keys) - 1):
if v > keys[i] and v < keys[i + 1]:
kmin, kmax = i, i + 1
vmin, vmax = keys[i], keys[i + 1]
break
if kmin is None or kmax is None or vmin is None or vmax is None:
return None
rgb_a = RGBColor(*echelle[vmin])
hsv_a = rgb_a.convert_to('hsv')
rgb_b = RGBColor(*echelle[vmax])
hsv_b = rgb_b.convert_to('hsv')
xa = keys[kmin]
xb = keys[kmax]
xi = v
hi = eq(xi, xa, xb, hsv_a.hsv_h, hsv_b.hsv_h)
si = eq(xi, xa, xb, hsv_a.hsv_s, hsv_b.hsv_s)
vi = eq(xi, xa, xb, hsv_a.hsv_v, hsv_b.hsv_v)
hsv_i = HSVColor(hi, si, vi)
rgb_i = hsv_i.convert_to('rgb')
if tohex: return rgb_i.get_rgb_hex()
else: return rgb_i.get_value_tuple()
def raw_rgb(hex_color):
rgb_color = RGBColor()
rgb_color.set_from_rgb_hex(hex_color)
return '{} {} {}'.format(*rgb_color.get_value_tuple())
def raw_rgb(hex_color):
rgb_color = RGBColor()
rgb_color.set_from_rgb_hex(hex_color)
return '{} {} {}'.format(*rgb_color.get_value_tuple())
