灰度化
#coding:utf8 import re import urllib import urllib2 import requests from PIL import Image import numpy as np def downloads_pic(**kwargs): pic_name = kwargs.get(‘pic_name‘, None) url = ‘http://www.xxx.com/code.do‘ res = requests.get(url, stream=True) with open(pic_path +‘test11.bmp‘, ‘wb‘) as f: for chunk in res.iter_content(chunk_size=1024): if chunk: # filter out keep-alive new chunks f.write(chunk) f.flush() f.close() pic_path=‘tmp\\‘ downloads_pic() image = Image.open(‘tmp\\test.bmp‘) #image.show() #显示图片 imgry = image.convert(‘L‘) # 转化为灰度图 1:背景黑白
from PIL import Image
import numpy as np
install numpy
https://pypi.python.org/packages/2c/93/9556d25b1f23fd852fc2ddfcf68a4a62ba9e4ef83adabbf8921c80fce9a0/numpy-1.11.3-cp27-none-win_amd64.whl#md5=33bfb4c5f5608d3966a6600fa3d7623c
python -m pip install --upgrade pip
pip install --user numpy scipy matplotlib ipython jupyter pandas sympy nose
Mark
http://www.cnblogs.com/yinxiangnan-charles/p/5928689.html
http://www.cnblogs.com/beer/p/5672678.html
http://blog.csdn.net/qq_30490125/article/details/51445390
时间: 2024-10-14 04:48:14