def CompositeThumbnail(img, regions, thumb_size=100):
'''extract a composite thumbnail for the regions of an image
The composite will consist of N thumbnails side by side
'''
composite = cv.CreateImage((thumb_size*len(regions), thumb_size),8,3)
for i in range(len(regions)):
(x1,y1,x2,y2) = regions[i].tuple()
midx = (x1+x2)/2
midy = (y1+y2)/2
if (x2-x1) > thumb_size or (y2-y1) > thumb_size:
# we need to shrink the region
rsize = max(x2+1-x1, y2+1-y1)
src = cuav_util.SubImage(img, (midx-rsize/2,midy-rsize/2,rsize,rsize))
thumb = cv.CreateImage((thumb_size, thumb_size),8,3)
cv.Resize(src, thumb)
else:
x1 = midx - thumb_size/2
y1 = midy - thumb_size/2
thumb = cuav_util.SubImage(img, (x1, y1, thumb_size, thumb_size))
cv.SetImageROI(composite, (thumb_size*i, 0, thumb_size, thumb_size))
cv.Copy(thumb, composite)
cv.ResetImageROI(composite)
return composite
def CompositeThumbnail(img, regions, thumb_size=100):
'''extract a composite thumbnail for the regions of an image
The composite will consist of N thumbnails side by side
'''
composite = []
for i in range(len(regions)):
(x1, y1, x2, y2) = regions[i].tuple()
midx = (x1 + x2) / 2
midy = (y1 + y2) / 2
if (x2 - x1) > thumb_size or (y2 - y1) > thumb_size:
# we need to shrink the region
rsize = max(x2 + 1 - x1, y2 + 1 - y1)
src = cuav_util.SubImage(
img, (midx - rsize / 2, midy - rsize / 2, rsize, rsize))
thumb = cv2.resize(src, (thumb_size, thumb_size))
else:
x1 = midx - thumb_size / 2
y1 = midy - thumb_size / 2
thumb = cuav_util.SubImage(img, (x1, y1, thumb_size, thumb_size))
if composite == []:
composite = thumb
else:
composite = numpy.concatenate((composite, thumb), axis=1)
return composite
def CompositeThumbnail(img, regions, thumb_size=100):
'''extract a composite thumbnail for the regions of an image
The composite will consist of N thumbnails side by side
'''
composite = cv.CreateImage((thumb_size * len(regions), thumb_size), 8, 3)
x0 = y0 = 0
for i, r in enumerate(regions):
(x1, y1, x2, y2) = r.tuple()
midx = (x1 + x2) / 2
midy = (y1 + y2) / 2
if (x2 - x1) > thumb_size or (y2 - y1) > thumb_size:
# we need to shrink the region
rsize = max(x2 + 1 - x1, y2 + 1 - y1)
src = cuav_util.SubImage(
img, (midx - rsize / 2, midy - rsize / 2, rsize, rsize))
thumb = cv.CreateImage((thumb_size, thumb_size), 8, 3)
cv.Resize(src, thumb)
else:
if x1 > x0 and x1 < x0 + thumb_size and y1 > y0 and y1 < y0 + thumb_size:
r.dupe = True
continue
x1 = midx - thumb_size / 2
y1 = midy - thumb_size / 2
x0 = x1
y0 = y1
thumb = cuav_util.SubImage(img, (x1, y1, thumb_size, thumb_size))
cv.SetImageROI(composite, (thumb_size * i, 0, thumb_size, thumb_size))
cv.Copy(thumb, composite)
cv.ResetImageROI(composite)
return composite
def ExtractThumbs(img, count):
'''extract thumbnails from a composite thumbnail image'''
thumb_size = cuav_util.image_width(img) / count
thumbs = []
for i in range(count):
thumb = cuav_util.SubImage(img, (i*thumb_size, 0, thumb_size, thumb_size))
thumbs.append(thumb)
return thumbs
def add_regions(self, regions, thumbs, filename, pos=None):
'''add some regions'''
for i in range(len(regions)):
r = regions[i]
(x1, y1, x2, y2) = r.tuple()
latlon = r.latlon
if latlon is None:
latlon = (None, None)
(lat, lon) = latlon
if self.boundary:
if (lat, lon) == (None, None):
# its pointing into the sky
continue
# if cuav_util.polygon_outside((lat,lon), self.boundary):
# # this region is outside the search boundary
# continue
# the thumbnail we have been given will be bigger than the size we want to
# display on the mosaic. Extract the middle of it for display
full_thumb = thumbs[i]
rsize = max(x2 + 1 - x1, y2 + 1 - y1)
tsize = cuav_util.image_width(full_thumb)
if rsize < tsize:
thumb = cuav_util.SubImage(full_thumb,
((tsize - self.thumb_size) // 2,
(tsize - self.thumb_size) // 2,
self.thumb_size, self.thumb_size))
else:
thumb = cv.CreateImage((self.thumb_size, self.thumb_size), 8,
3)
cv.Resize(full_thumb, thumb)
ridx = len(self.regions)
self.regions.append(
MosaicRegion(ridx,
r,
filename,
pos,
thumbs[i],
thumb,
latlon=(lat, lon)))
self.regions_sorted.append(self.regions[-1])
self.display_mosaic_region(ridx)
if (lat, lon) != (None, None):
self.slipmap.add_object(
mp_slipmap.SlipThumbnail("region %u" % ridx, (lat, lon),
img=thumb,
layer=2,
border_width=1,
border_colour=(255, 0, 0),
popup_menu=self.popup_menu))
self.image_mosaic.set_image(self.mosaic, bgr=True)
def make_thumb(self, full, r, size):
(x1, y1, x2, y2) = r.tuple()
rsize = max(x2 + 1 - x1, y2 + 1 - y1)
tsize = cuav_util.image_width(full)
if rsize < tsize:
thumb = cuav_util.SubImage(full, ((tsize - size) // 2,
(tsize - size) // 2, size, size))
else:
thumb = cv2.resize(full, (size, size))
return thumb
