python根据图标提取分类 python实现根据图标提取分类应用程序实例

#!/usr/bin/python 
# -*- coding: utf-8 -*- 
 
import Image
 
import win32ui 
import win32gui 
 
def make_regalur_image(img, size = (256, 256)): 
  return img.resize(size).convert('RGB') 
 
def split_image(img, part_size = (64, 64)): 
  w, h = img.size 
  pw, ph = part_size 
   
  assert w % pw == h % ph == 0 
   
  return [img.crop((i, j, i+pw, j+ph)).copy() \
      for i in xrange(0, w, pw) \
      for j in xrange(0, h, ph)] 
 
def hist_similar(lh, rh): 
  assert len(lh) == len(rh) 
  return sum(1 - (0 if l == r else float(abs(l - r))/max(l, r)) for l, r in zip(lh, rh))/len(lh) 
 
def calc_similar(li, ri): 
#  return hist_similar(li.histogram(), ri.histogram()) 
  return sum(hist_similar(l.histogram(), r.histogram()) for l, r in zip(split_image(li), split_image(ri))) / 16.0 
       
 
def calc_similar_by_path(lf, rf): 
  li, ri = make_regalur_image(Image.open(lf)), make_regalur_image(Image.open(rf)) 
  return calc_similar(li, ri) 
 
def make_doc_data(lf, rf): 
  li, ri = make_regalur_image(Image.open(lf)), make_regalur_image(Image.open(rf)) 
  li.save(lf + '_regalur.png') 
  ri.save(rf + '_regalur.png') 
  fd = open('stat.csv', 'w') 
  fd.write('\n'.join(l + ',' + r for l, r in zip(map(str, li.histogram()), map(str, ri.histogram())))) 
#  print >>fd, '\n' 
#  fd.write(','.join(map(str, ri.histogram()))) 
  fd.close() 
  import ImageDraw 
  li = li.convert('RGB') 
  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') 
  li.save(lf + '_lines.png') 
   
def getIcon(filename): 
 
  large, small = win32gui.ExtractIconEx(filename,0)# 
  win32gui.DestroyIcon(small[0]) 
   
  hdc = win32ui.CreateDCFromHandle( win32gui.GetDC(0) ) 
  hbmp = win32ui.CreateBitmap() 
  hbmp.CreateCompatibleBitmap( hdc, 32, 32 ) 
  hdc = hdc.CreateCompatibleDC() 
  hdc.SelectObject( hbmp ) 
  hdc.DrawIcon( (0,0), large[0] ) 
  hbmp.SaveBitmapFile( hdc, "save.bmp" ) 
     
if __name__ == '__main__': 
  #path = r'test/TEST%d/%d.JPG' 
  for i in range(1,4): 
    getIcon(r'test/TEST1/%d.exe' % i) 
    print 'RESULT:%d' % (calc_similar_by_path('save.bmp',r"test/TEST1/backup.bmp")*100) 
   
  #for i in xrange(1, 7): 
    #print 'test_case_%d: %.3f%%'%(i, \ 
      #calc_similar_by_path('test/TEST%d/%d.JPG'%(i, 1), 'test/TEST%d/%d.JPG'%(i, 2))*100) 
   
#  make_doc_data('test/TEST4/1.JPG', 'test/TEST4/2.JPG')