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=https://www.it610.com/article/{'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 =[金属期货](https://www.gendan5.com/cf/mf.html) 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()
【代码写春联【js+html版本与python版本】】text = '思前想后几行代码筑万载春秋 扶内保外一千精英带五千干将' #对联内容
write_couplets(text, HorV='V', quality='M', out_file='春联.jpg') #生成普天同庆.jpg对联图片
推荐阅读
- 推荐系统论文进阶|CTR预估 论文精读(十一)--Deep Interest Evolution Network(DIEN)
- Python专栏|数据分析的常规流程
- Python|Win10下 Python开发环境搭建(PyCharm + Anaconda) && 环境变量配置 && 常用工具安装配置
- Python绘制小红花
- Pytorch学习|sklearn-SVM 模型保存、交叉验证与网格搜索
- OpenCV|OpenCV-Python实战(18)——深度学习简介与入门示例
- python|8. 文件系统——文件的删除、移动、复制过程以及链接文件
- 爬虫|若想拿下爬虫大单,怎能不会逆向爬虫,价值过万的逆向爬虫教程限时分享
- 分布式|《Python3网络爬虫开发实战(第二版)》内容介绍
- java|微软认真聆听了开源 .NET 开发社区的炮轰( 通过CLI 支持 Hot Reload 功能)