目录
- 前言:
- 一,扫五福活动如此火爆,为何不自己利用编程来生成福字!
- 二,完整代码
- 三,总结
前言:
支付宝 2022 集五福活动正式开启
数据显示,过去六年累计参与支付宝集五福的人数已经超过了 7 亿,每 2 个中国人里就有 1 个曾扫福、集福、送福。
一,扫五福活动如此火爆,为何不自己利用编程来生成福字!
首先作品奉上:
①,导入python库
import io from PIL import Image import requests
②,利用爬虫,获取单个汉字
def get_word(ch, quality): 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_word 的作用为爬取我们需要的汉字模型。
如图:③,爬取背景底图
def get_bg(quality): return get_word('bg', quality)
④,图片格式大小,配置函数
def write_couplets(text, HorV='V', quality='L', out_file=None): us编程客栈ize = {'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(rhttp://www.cppcns.comow_im, offset) if out_file: out_im.convert('RGB').save(out_file) out_im.show()
⑤,成品展示
二,完整代码
完整代码奉上,需要先安装需要的python库。
import io from PIL import Image import requests def get_word(ch, quality): fp = io.BytesIO(requests.post(url='http://xufive.sdysit.com/tk', data={'ch':ch}).content) im = Image.open(fp) w, h = im.size http://www.cppcns.com if quality == 'M': w, h = int(w*0.75), int(0.75*h) elif quality == 'L': GgqmzTQk w, h = int(w*0.5), int(0.5*h) return im.resize((w,h)) def get_bg(quality): return get_word('bg', quality) def write_couplets(text, HorV='V', quality='L', out_file=None): usize = {'H':(编程客栈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() text = '福' write_couplets(text, HorV='V', quality='M', out_file='福.jpg')
三,总结
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