Python implementation extracts classification application instances by icon

This article describes the Python implementation according to the icon to extract the classification application, share to everyone for your reference.

Here's how:

#!/usr/bin/python #-*-coding:utf-8-*-import Image import win32ui import Win32gui def make_regalur_image (img, size = (at ()): Return img.resize (Size). CONVERT (' RGB ') def split_image (img, part_size = (up, UP)): 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_simil AR (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 (Imag E.open (LF)), Make_regalur_image (Image.open (RF)) Li.save (lf + ' _regalur.png ') ri.save (rf + ' _regalur.png ') fd = open (' Stat.csv ', ' W ') Fd.wri   Te (' \ 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, p, p): Draw.line ((0, I,, i), fill = ' #ff0000 ') draw.line ((i, 0, I,), 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, +, +) 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.jp  G '% (I, 1), ' test/test%d/%d.jpg '% (I, 2)) *100) # make_doc_data (' test/test4/1.jpg ', ' test/test4/2.jpg ')

Hopefully this article will help you with Python programming.

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