python实现根据图标提取分类应用程序实例
本文实例讲述了python实现根据图标提取分类应用程序，分享给大家供大家参考。
具体方法如下：
#!/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')
希望本文所述对大家的Python程序设计有所帮助。