low = mat < 50
mask = high #+low
ilog.log(pv.Image(1.0 * mask), 'Mask')
#Composite operation using PIL
e = edges.asPIL().convert('RGB')
m = pv.Image(1.0 * mask).asPIL()
i = im.asPIL()
logo = pv.Image(composite(i, e, m))
ilog.log(logo, 'Composite')
#logo.show(window='Composite', pos=(0,300) )
#Keypoint detection using OpenCV's SURF detector
logo_surf = logo.copy()
sm = pv.Image(im.asPIL().resize((320, 240), LINEAR))
detector = DetectorSURF()
points = detector.detect(sm)
for score, pt, radius in points:
logo_surf.annotateCircle(pt * 4, radius * 4)
ilog.log(logo_surf, 'Annotated')
#logo_surf.show(window='Annotated',pos=(360,300))
#Demonstrate use of ImageMontage class to show a few small images in a single window
print "Have the image montage focused in UI and hit spacebar to continue..."
imontage = pv.ImageMontage([im, edges, logo, logo_surf],
layout=(2, 2),
tileSize=im.size,
gutter=3,
byrow=True,
nolabels=True)
imontage.show(window="Image Montage", delay=0)
def __init__(self):
self.surf = DetectorSURF(n=1000, min_hessian=500)
