1、导包
import io
from PIL import Image
import numpy as np
import requests
根据这几个包，如果最终结果有错，说明导包有问题，可以百度搜一下
2、成品图
3、全部代码
import io
from PIL import Image
import numpy as np
import requests
def get_word(ch, quality):
"""获取单个汉字（字符）的图片
ch - 单个汉字或英文字母（仅支持大写）
quality - 单字分辨率，H-640像素，M-480像素，L-320像素
"""
fp = io.BytesIO(requests.post(url='http://xufive.sdysit.com/tk', data={'ch': ch}).content)
im = Image.open(fp)
w, h = im.size
if quality == 'M':
w, h = int(w * 0.75), int(0.75 * h)
elif quality == 'L':
w, h = int(w * 0.5), int(0.5 * h)
return im.resize((w, h))
def get_bg(quality):
"""获取春联背景的图片"""
return get_word('bg', quality)
def write_couplets(text, HorV='V', quality='L', out_file=None):
"""生成春联
text - 春联内容，以空格断行
HorV - H-横排，V-竖排
quality - 单字分辨率，H-640像素，M-480像素，L-320像素
out_file - 输出文件名
"""
usize = {'H': (640, 23), 'M': (480, 18), 'L': (320, 12)}
bg_im = get_bg(quality)
text_list = [list(item) for item in text.split()]
rows = len(text_list)
cols = max([len(item) for item in text_list])
if HorV == 'V':
ow, oh = 40 + rows * usize[quality][0] + (rows - 1) * 10, 40 + cols * usize[quality][0]
else:
ow, oh = 40 + cols * usize[quality][0], 40 + rows * usize[quality][0] + (rows - 1) * 10
out_im = Image.new('RGBA', (ow, oh), '#f0f0f0')
for row in range(rows):
if HorV == 'V':
row_im = Image.new('RGBA', (usize[quality][0], cols * usize[quality][0]), 'white')
offset = (ow - (usize[quality][0] + 10) * (row + 1) - 10, 20)
else:
row_im = Image.new('RGBA', (cols * usize[quality][0], usize[quality][0]), 'white')
offset = (20, 20 + (usize[quality][0] + 10) * row)
for col, ch in enumerate(text_list[row]):
if HorV == 'V':
pos = (0, col * usize[quality][0])
else:
pos = (col * usize[quality][0], 0)
ch_im = get_word(ch, quality)
row_im.paste(bg_im, pos)
row_im.paste(ch_im, (pos[0] + usize[quality][1], pos[1] + usize[quality][1]), mask=ch_im)
out_im.paste(row_im, offset)
if out_file:
out_im.convert('RGB').save(out_file)
out_im.show()
text1 = '事事如意大吉祥 家家顺心永安康'
text2 = '四季兴隆'
write_couplets(text1, HorV='V', quality='M', out_file='上下批.jpg')
write_couplets(text2, HorV='H', quality='M', out_file='横批.jpg')
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