コード例 #1
0
    def laplacian(im):
        s = StringIO()
        im.save(s, 'ppm')
        ppm = s.getvalue()
        del s

        header_match = re.match('^P6\n(\d+)\s(\d+)\n(\d+)\n', ppm, re.M)
        header, raw_data = ppm[:header_match.end()], ppm[header_match.end():]

        result = _laplacian.ppm_laplacian(im.size, raw_data)

        s = StringIO()
        s.write(header)
        s.write(result)
        s.seek(0)
        im = Image.open(s)
        im.load()
        del s
        return im
コード例 #2
0
ファイル: laplacian.py プロジェクト: AndrejScak/arsoapi
	def laplacian(im):
		s = StringIO()
		im.save(s, 'ppm')
		ppm = s.getvalue()
		del s
		
		header_match = re.match('^P6\n(\d+)\s(\d+)\n(\d+)\n', ppm, re.M)
		header, raw_data = ppm[:header_match.end()], ppm[header_match.end():]
		
		result = _laplacian.ppm_laplacian(im.size, raw_data)
		
		s = StringIO()
		s.write(header)
		s.write(result)
		s.seek(0)
		im = Image.open(s)
		im.load()
		del s
		return im
コード例 #3
0
ファイル: testlaplacian.py プロジェクト: AndrejScak/arsoapi
header_match = re.match('^P6\n(\d+)\s(\d+)\n(\d+)\n', ppm, re.M)
print 'dim', header_match.groups()

header, raw_data = ppm[:header_match.end()], ppm[header_match.end():]

w, h = im.size
print im.size

#itt = iter((ord(i) for i in raw_data))
#imgbytes = zip(itt, itt, itt)
#pprint(imgbytes)
print '='*10
print 'Going in'

result = _laplacian.ppm_laplacian(im.size, raw_data)

f = open('cresult.ppm','wb')
f.write(header)
f.write(result)


d = open('t2_end.ppm').read()
itt = iter((ord(i) for i in d[11:]))
imgbytes = zip(itt, itt, itt)
pprint(imgbytes)



#_laplacian.ppm_laplacian(w, h) # raw_data)
コード例 #4
0
ファイル: testlaplacian.py プロジェクト: valil-test/arsoapi
ppm = s.getvalue()
del s

header_match = re.match('^P6\n(\d+)\s(\d+)\n(\d+)\n', ppm, re.M)
print 'dim', header_match.groups()

header, raw_data = ppm[:header_match.end()], ppm[header_match.end():]

w, h = im.size
print im.size

#itt = iter((ord(i) for i in raw_data))
#imgbytes = zip(itt, itt, itt)
#pprint(imgbytes)
print '=' * 10
print 'Going in'

result = _laplacian.ppm_laplacian(im.size, raw_data)

f = open('cresult.ppm', 'wb')
f.write(header)
f.write(result)

d = open('t2_end.ppm').read()
itt = iter((ord(i) for i in d[11:]))
imgbytes = zip(itt, itt, itt)
pprint(imgbytes)

#_laplacian.ppm_laplacian(w, h) # raw_data)