def siftImage(url):
"""
"""
print >> sys.stderr, 'download...',
bytes = StringIO.StringIO(urllib.urlopen(url).read())
image = PIL.Image.open(bytes).convert('RGBA')
print >> sys.stderr, image.size
handle, sift_filename = tempfile.mkstemp(prefix='decode-', suffix='.sift')
os.close(handle)
handle, pgm_filename = tempfile.mkstemp(prefix='decode-', suffix='.pgm')
os.close(handle)
# fit to 1000x1000
scale = min(1., 1000. / max(image.size))
# write the PGM
pgm_size = int(image.size[0] * scale), int(image.size[1] * scale)
image.convert('L').resize(pgm_size, PIL.Image.ANTIALIAS).save(pgm_filename)
print >> sys.stderr, 'sift...', pgm_size,
basedir = os.path.dirname(os.path.realpath(__file__)).replace(' ', '\ ')
status, output = commands.getstatusoutput(
"%(basedir)s/bin/sift --peak-thresh=8 -o '%(sift_filename)s' '%(pgm_filename)s'"
% locals())
data = open(sift_filename, 'r')
assert status == 0, 'Sift execution returned %s instead of 0' % status
features = [matchup.row2feature(row) for row in data]
print >> sys.stderr, len(features), 'features'
os.unlink(sift_filename)
os.unlink(pgm_filename)
return image, features, scale
def __init__(self, basepath):
data = open(basepath + '.sift', 'r')
self.features = [matchup.row2feature(row) for row in data]
point = open(basepath + '.txt', 'r')
self.anchor = Point(*[int(c) for c in point.read().split()])