问题描述
我想将颜色元组转换为颜色名称,例如黄色"或蓝色"
I want to convert a color tuple to a color name, like 'yellow' or 'blue'
>>> im = Image.open("test.jpg")
>>> n, color = max(im.getcolors(im.size[0]*im.size[1]))
>>> print color
(119, 172, 152)
python中有没有简单的方法来做到这一点?
Is there a simple way in python to do this?
推荐答案
看起来 webcolors 会让你这样做:
It looks like webcolors will allow you to do this:
rgb_to_name(rgb_triplet, spec='css3')
将适用于 rgb() 颜色三元组的 3 元组整数转换为其对应的标准化颜色名称(如果存在此类名称);有效值为 html4、css2、css21 和 css3,默认为 css3.
Convert a 3-tuple of integers, suitable for use in an rgb() color triplet, to its corresponding normalized color name, if any such name exists; valid values are html4, css2, css21 and css3, and the default is css3.
例子:
>>> rgb_to_name((0, 0, 0))
'black'
反之亦然:
>>> name_to_rgb('navy')
(0, 0, 128)
要找到最接近的颜色名称:
但是,如果 webcolors
找不到与所请求颜色的匹配项,则会引发异常.我编写了一个小修复程序,为请求的 RGB 颜色提供最接近的匹配名称.它通过 RGB 空间中的欧几里得距离进行匹配.
To find the closest colour name:
However webcolors
raises an exception if it can't find a match for the requested colour. I've written a little fix that delivers the closest matching name for the requested RGB colour. It matches by Euclidian distance in the RGB space.
import webcolors
def closest_colour(requested_colour):
min_colours = {}
for key, name in webcolors.css3_hex_to_names.items():
r_c, g_c, b_c = webcolors.hex_to_rgb(key)
rd = (r_c - requested_colour[0]) ** 2
gd = (g_c - requested_colour[1]) ** 2
bd = (b_c - requested_colour[2]) ** 2
min_colours[(rd + gd + bd)] = name
return min_colours[min(min_colours.keys())]
def get_colour_name(requested_colour):
try:
closest_name = actual_name = webcolors.rgb_to_name(requested_colour)
except ValueError:
closest_name = closest_colour(requested_colour)
actual_name = None
return actual_name, closest_name
requested_colour = (119, 172, 152)
actual_name, closest_name = get_colour_name(requested_colour)
print "Actual colour name:", actual_name, ", closest colour name:", closest_name
输出:
Actual colour name: None , closest colour name: cadetblue
这篇关于将 RGB 颜色转换为英文颜色名称,如 Python 中的“绿色"的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!