class RenderSURF:
def __init__(self):
self.surf = DetectorSURF(n=1000, min_hessian=500)
def __call__(self, im):
tmp = im.asPIL()
tmp = tmp.resize((160, 120))
tmp = Image(tmp)
points = self.surf.detect(tmp)
for score, pt, radius in points:
score = score - 500.0
if score > 500.0:
score = 500.0
score = int(255 * score / 500.0)
color = "#%02x0000" % score
pt = Point(pt.X() * 4, pt.Y() * 4)
im.annotateCircle(pt, radius, color=color)
return im
class RenderSURF:
def __init__(self):
self.surf = DetectorSURF(n=1000,min_hessian=500)
def __call__(self,im):
tmp = im.asPIL()
tmp = tmp.resize((160,120))
tmp = Image(tmp)
points = self.surf.detect(tmp)
for score,pt,radius in points:
score = score - 500.0
if score > 500.0:
score = 500.0
score = int(255*score/500.0)
color = "#%02x0000"%score
pt = Point(pt.X()*4,pt.Y()*4)
im.annotateCircle(pt,radius,color=color)
return im
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), tile_size=im.size,
gutter=3, by_row=True, labels=None)
imontage.show(window="Image Montage", delay=0)
#Show the images stored to the image log object
print "Showing image log."
print "These images are stored in a tmp directory: %s"%ilog.dir
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)
def __init__(self):
self.surf = DetectorSURF(n=1000,min_hessian=500)
