#!C:/Python27 
# -*- coding: utf-8 -*-  
import os  
import sys  
from PIL import Image,ImageDraw  
   
 
def make_doc_data(lf): 
   
  #li, ri = make_regalur_image(Image.open(lf)), make_regalur_image(Image.open(rf))#兩張圖片方法 
  li = Image.open(lf) 
   
  size = (256, 256) 
  #幾何轉(zhuǎn)變，全部轉(zhuǎn)化為256*256像素大小 
  li =li.resize(size).convert('RGB') 
   
  li.save(lf + '_regalur.png')#轉(zhuǎn)換圖片格式:img.save('file.jpg'),保存臨時的 
   
  #ri.save(rf + '_regalur.png')#img對象到硬盤 
   
  fd = open('stat.csv', 'w')#stat模塊是做隨機變量統(tǒng)計的，stat用來計算隨機變量的期望值和方差 
   
  #這句是關(guān)鍵啊，把histogram的結(jié)果進行map處理  
  #fd.write('\n'.join(l + ',' + r for l, r in zip(map(str, li.histogram()), map(str, ri.histogram()))))   
  fd.write(','.join(map(str, li.histogram())))  
  fd.close() 
  
  li = li.convert('RGB') #與save對象，這是轉(zhuǎn)換格式 
   
  draw = ImageDraw.Draw(li) 
   
  for i in xrange(0, 256, 64):  
    draw.line((0, i, 256, i), fill = '#ff0000')  
    draw.line((i, 0, i, 256), fill = '#ff0000') 
     
  #從始至終劃線!通過把每一列刷成紅色，來進行顏色的隨機分布劃分 
     
  #用法：pygame.draw.line(Surface, color, start_pos, end_pos, width=1) 
     
  li.save(lf + '_lines.png')  
  
   
make_doc_data('testpic/1370.bmp') 

#!C:/Python27 
#coding=utf-8 
 
import pytesseract 
from pytesser import * 
from PIL import Image,ImageEnhance,ImageFilter 
import os 
import fnmatch 
import re,time 
 
import urllib, random 
 
#修改文件名 
#os.rename("E:/pythonScript/Model/font/2.bmp","E:/pythonScript/Model/font/dock2.bmp") 
 
 
def CutImg(): 
   
  img = Image.open('.//6907.jpg').convert('L') 
 
  print img.size 
 
  w, h = img.size 
 
      #rowheight = h // rownum 
      #colwidth = w // colnum 
      #imgry.show() 
  j = 10 
  for i in range(4): 
     
 
    x = 10 + i*24 #驗證碼的x,y坐標(biāo) 
 
    y = 6  
 
    img.crop((x-4, y,x+6, y+14)).save("pic/%d.bmp" % j)  
 
    print "j=",j  
 
    j += 1 
  img.close() 
 
 
infile = ('.//testpic//001n.bmp')  
outfile = ('.//testpic//001n.png') 
 
   
def fixed_size(infile): 
   
  """按照固定尺寸處理圖片"""  
  im = Image.open(infile) 
 
  size = (256, 256) 
   
  im2 =im.resize(size).convert('RGB') 
  out = im2.resize(size,Image.ANTIALIAS)  
  out.save(outfile) 
  print u"\n按固定尺寸放大圖片,處理已完成" 
def resize_by_width(w_divide_h): 
   
  """按照寬度進行所需比例縮小"""  
  im = Image.open(infile) 
  print im.size 
   
  (x, y) = im.size   
  x_s = x 
  print x_s 
  y_s = x/w_divide_h #w_divide_h > x 
  print y_s 
  out = im.resize((x_s, y_s), Image.ANTIALIAS)   
  out.save(outfile)  
  
 
def resize_by_height(w_divide_h): 
   
  """按照高度進行所需比例縮放"""  
  im = Image.open(infile) 
  (x, y) = im.size 
  print im.size 
  x_s = y*w_divide_h  
  y_s = y  
  out = im.resize((x_s, y_s), Image.ANTIALIAS)   
  out.save(outfile,quality = 95,dpi=(72, 72)) 
def cut_by_ratio(width, height):  
    """按照圖片長寬比進行分割"""  
    im = Image.open(infile)  
    width = float(width)  
    height = float(height)  
    (x, y) = im.size  
    if width > height:  
      region = (0, int((y-(y * (height / width)))/2), x, int((y+(y * (height / width)))/2))  
    elif width < height:  
      region = (int((x-(x * (width / height)))/2), 0, int((x+(x * (width / height)))/2), y)  
    else:  
      region = (0, 0, x, y)  
  
    #裁切圖片  
    crop_img = im.crop(region)  
    #保存裁切后的圖片  
    crop_img.save(outfile) 
def Lager(size): 
  im = Image.open(infile) 
  im_resized=im.resize(size, Image.ANTIALIAS) 
  im_resized.save(outfile,quality = 95,dpi=(72, 72)) 
def mohuimg(): 
  """ 
  模糊圖片 
  """ 
  im = Image.open(infile) 
  im2 = im.filter(ImageFilter.BLUR) 
  im2.save(outfile) 
""" 
多種尺寸icon的存儲 
""" 
image_size = [512,250,144,140,128,120,108,100,88,72,48,32,28] 
def create_icon(): 
   for size in image_size: 
     '''''pri_image = Image.open("icon.png") 
     pri_image.thumbnail((size,size)) 
     image_name = "icon_%d.png"%(size) 
     pri_image.save(image_name)''' 
     pri_image = Image.open(infile) 
     pri_image.resize((size,size),Image.ANTIALIAS ).save("testpic/icom_%d.png"%(size))   
    
fixed_size(infile) 
#resize_by_width(10) 
#resize_by_height(1) 
#cut_by_ratio(50,20) 
#Lager(256)   
#mohuimg() 
#create_icon() 
#CutImg()