# -*- coding: utf-8 -*-
from PIL import Image

codeLib = '''@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:,"^`'. '''#生成字符畫所需的字符集
count = len(codeLib)

def transform1(image_file):
  image_file = image_file.convert("L")#轉(zhuǎn)換為黑白圖片，參數(shù)"L"表示黑白模式
  codePic = ''
  for h in range(0,image_file.size[1]): #size屬性表示圖片的分辨率，'0'為橫向大小，'1'為縱向
    for w in range(0,image_file.size[0]):
      gray = image_file.getpixel((w,h)) #返回指定位置的像素，如果所打開的圖像是多層次的圖片，那這個(gè)方法就返回一個(gè)元組
      codePic = codePic + codeLib[int(((count-1)*gray)/256)]#建立灰度與字符集的映射
    codePic = codePic+'\r\n'
  return codePic

def transform2(image_file):
  codePic = ''
  for h in range(0,image_file.size[1]):
    for w in range(0,image_file.size[0]):
      g,r,b = image_file.getpixel((w,h))
      gray = int(r* 0.299+g* 0.587+b* 0.114)
      codePic = codePic + codeLib[int(((count-1)*gray)/256)]
    codePic = codePic+'\r\n'
  return codePic
fp = open(r'C:\路徑\3.jpg','rb')
image_file = Image.open(fp)
image_file=image_file.resize((int(image_file.size[0]*0.2), int(image_file.size[1]*0.1)))#調(diào)整圖片大小
print (u'Info:',image_file.size[0],' ',image_file.size[1],' ',count)

tmp = open('tmp.txt','w')
tmp.write(transform1(image_file))
tmp.close()
a,b,c=1,2,3
print(a,b,c)