我正在创建一个网络应用程序,用于提供带有文本的动态图像。 绘制的每个字符串可以是多种颜色。
到目前为止,我已经创建了一个parse方法和一个render方法。解析方法只接受字符串,并从中解析颜色,它们的格式如下:“§a这是绿色的,这是白色的”(是的,它是我的世界)。 这就是我的字体模块的样子:
# Imports from pillow
from PIL import Image, ImageDraw, ImageFont
# Load the fonts
font_regular = ImageFont.truetype("static/font/regular.ttf", 24)
font_bold = ImageFont.truetype("static/font/bold.ttf", 24)
font_italics = ImageFont.truetype("static/font/italics.ttf", 24)
font_bold_italics = ImageFont.truetype("static/font/bold-italics.ttf", 24)
max_height = 21 # 9, from FONT_HEIGHT in FontRederer in MC source, multiplied by
# 3, because each virtual pixel in the font is 3 real pixels
# This number is also returned by:
# font_regular.getsize("ABCDEFGHIJKLMNOPQRSTUVWXYZ")[1]
# Create the color codes
colorCodes = [0] * 32 # Empty array, 32 slots
# This is ported from the original MC java source:
for i in range(0, 32):
j = int((i >> 3 & 1) * 85)
k = int((i >> 2 & 1) * 170 + j)
l = int((i >> 1 & 1) * 170 + j)
i1 = int((i >> 0 & 1) * 170 + j)
if i == 6:
k += 85
if i >= 16:
k = int(k/4)
l = int(l/4)
i1 = int(i1/4)
colorCodes[i] = (k & 255) << 16 | (l & 255) << 8 | i1 & 255
def _get_colour(c):
''' Get the RGB-tuple for the color
Color can be a string, one of the chars in: 0123456789abcdef
or an int in range 0 to 15, including 15
'''
if type(c) == str:
if c == 'r':
c = int('f', 16)
else:
c = int(c, 16)
c = colorCodes[c]
return ( c >> 16 , c >> 8 & 255 , c & 255 )
def _get_shadow(c):
''' Get the shadow RGB-tuple for the color
Color can be a string, one of the chars in: 0123456789abcdefr
or an int in range 0 to 15, including 15
'''
if type(c) == str:
if c == 'r':
c = int('f', 16)
else:
c = int(c, 16)
return _get_colour(c+16)
def _get_font(bold, italics):
font = font_regular
if bold and italics:
font = font_bold_italics
elif bold:
font = font_bold
elif italics:
font = font_italics
return font
def parse(message):
''' Parse the message in a format readable by render
this will return a touple like this:
[((int,int),str,str)]
so if you where to send it directly to the rederer you have to do this:
render(pos, parse(message), drawer)
'''
result = []
lastColour = 'r'
total_width = 0
bold = False
italics = False
for i in range(0,len(message)):
if message[i] == '§':
continue
elif message[i-1] == '§':
if message[i] in "01234567890abcdef":
lastColour = message[i]
if message[i] == 'l':
bold = True
if message[i] == 'o':
italics = True
if message[i] == 'r':
bold = False
italics = False
lastColour = message[i]
continue
width, height = _get_font(bold, italics).getsize(message[i])
total_width += width
result.append(((width, height), lastColour, bold, italics, message[i]))
return result
def get_width(message):
''' Calculate the width of the message
The message has to be in the format returned by the parse function
'''
return sum([i[0][0] for i in message])
def render(pos, message, drawer):
''' Render the message to the drawer
The message has to be in the format returned by the parse function
'''
x = pos[0]
y = pos[1]
for i in message:
(width, height), colour, bold, italics, char = i
font = _get_font(bold, italics)
drawer.text((x+3, y+3+(max_height-height)), char, fill=_get_shadow(colour), font=font)
drawer.text((x, y+(max_height-height)), char, fill=_get_colour(colour), font=font)
x += width
它确实有效,但是应该低于字体地线的字符,如g,y和q,会在地面线上渲染,所以它看起来很奇怪,这是一个例子:
关于如何让它们显示核心的任何想法?或者我是否必须制作自己的偏移表,我手动放置它们?
答案 0 :(得分:3)
鉴于你无法从PIL获得偏移,你可以通过切片图像来实现这一点,因为PIL适当地组合了多个字符。在这里,我有两种方法,但我认为第一种方法更好,尽管两者都只是几行。第一种方法给出了这个结果(它也是一个小字体放大,这就是为什么它的像素化):
为了解释这里的想法,比如说我想要字母“j”,而不只是制作一个只是'j'的图像,我制作一个'o j'的图像,因为这样可以保持'j'正确对齐。然后我裁剪了我不想要的部分,只保留'j'(在'o'和'o j'上使用textsize
)。
import Image, ImageDraw
from random import randint
make_color = lambda : (randint(50, 255), randint(50, 255), randint(50,255))
image = Image.new("RGB", (1200,20), (0,0,0)) # scrap image
draw = ImageDraw.Draw(image)
image2 = Image.new("RGB", (1200, 20), (0,0,0)) # final image
fill = " o "
x = 0
w_fill, y = draw.textsize(fill)
x_draw, x_paste = 0, 0
for c in "The quick brown fox jumps over the lazy dog.":
w_full = draw.textsize(fill+c)[0]
w = w_full - w_fill # the width of the character on its own
draw.text((x_draw,0), fill+c, make_color())
iletter = image.crop((x_draw+w_fill, 0, x_draw+w_full, y))
image2.paste(iletter, (x_paste, 0))
x_draw += w_full
x_paste += w
image2.show()
是的,我使用'o',而不仅仅是'o',因为相邻的字母似乎彼此略微腐败。
第二种方法是制作整个字母的图像,将其切片,然后将它们重新组合在一起。它听起来比听起来容易。这是一个例子,构建字典和连接到图像只是几行代码:
import Image, ImageDraw
import string
A = " ".join(string.printable)
image = Image.new("RGB", (1200,20), (0,0,0))
draw = ImageDraw.Draw(image)
# make a dictionary of character images
xcuts = [draw.textsize(A[:i+1])[0] for i in range(len(A))]
xcuts = [0]+xcuts
ycut = draw.textsize(A)[1]
draw.text((0,0), A, (255,255,255))
# ichars is like {"a":(width,image), "b":(width,image), ...}
ichars = dict([(A[i], (xcuts[i+1]-xcuts[i]+1, image.crop((xcuts[i]-1, 0, xcuts[i+1], ycut)))) for i in range(len(xcuts)-1)])
# Test it...
image2 = Image.new("RGB", (400,20), (0,0,0))
x = 0
for c in "This is just a nifty text string":
w, char_image = ichars[c]
image2.paste(char_image, (x, 0))
x += w
这是结果字符串的(放大)图像:
这是整个字母表的图像:
这里的一个技巧是我必须在原始字母图像中的每个字符之间放置一个空格,否则我会让相邻的字符相互影响。
我想如果您需要为有限范围的字体和字符执行此操作,那么预先计算字母图像字典将是一个好主意。
或者,对于不同的方法,使用像numpy这样的工具,您可以轻松确定上面ichar
字典中每个字符的yoffset(例如,沿每个水平行取最大值,然后找到最大值和最小的非零指数)。