# Load correct frame range.
last = j
if ((j + 2*step) >= film_l):
i3_data.loadDataInFrames(fmin = j)
step_step = 2*step
else:
i3_data.loadDataInFrames(fmin = j, fmax = j + step - 1)
step_step = step
xycurr = i3_data.i3To2DGridAllChannelsMerged(uncorrected = True)
# Correlate to master image.
[corr, dx, dy, xy_success] = imagecorrelation.xyOffset(xymaster,
xycurr,
i3_data.getScale(),
center = [x[index-1] * scale,
y[index-1] * scale])
# Update values
if xy_success:
old_dx = dx
old_dy = dy
else:
dx = old_dx
dy = old_dy
dx = dx/float(scale)
dy = dy/float(scale)
t.append(step/2 + index * step)
# Load correct frame range.
last = j
if ((j + 2*step) >= film_l):
i3_data.loadDataInFrames(fmin = j)
step_step = 2*step
else:
i3_data.loadDataInFrames(fmin = j, fmax = j + step - 1)
step_step = step
xycurr = i3_data.i3To2DGridAllChannelsMerged(uncorrected = True)
# Correlate to master image.
[corr, dx, dy, xy_success] = imagecorrelation.xyOffset(xymaster,
xycurr,
i3_data.getScale(),
center = [x[index-1] * scale,
y[index-1] * scale])
# Update values
if xy_success:
old_dx = dx
old_dy = dy
else:
dx = old_dx
dy = old_dy
dx = dx/float(scale)
dy = dy/float(scale)
t.append(step/2 + index * step)
centers.append((end1 - start1)/2 + start1)
if (start1 > endpost):
continue
if not (start1 == start2):
if (old_start1 != start1):
i3_data.loadDataInFrames(fmin = start1, fmax = end1-1)
sub1 = i3_data.i3To2DGridAllChannelsMerged(uncorrected = True)
old_start1 = start1
i3_data.loadDataInFrames(fmin = start2, fmax = end2-1)
sub2 = i3_data.i3To2DGridAllChannelsMerged(uncorrected = True)
[corr, dx, dy, success] = imagecorrelation.xyOffset(sub1,
sub2,
scale)
dx = dx/float(scale)
dy = dy/float(scale)
print "offset between frame ranges ", start1, "-" , end1 , " and ", start2, "-", end2
if success:
print " -> ", dx, dy, "good"
else:
print " -> ", dx, dy, "bad"
print ""
pairs.append([i, j, dx, dy, success])
centers.append((end1 - start1)/2 + start1)
if (start1 > endpost):
continue
if not (start1 == start2):
if (old_start1 != start1):
i3_data.loadDataInFrames(fmin = start1, fmax = end1-1)
sub1 = i3_data.i3To2DGridAllChannelsMerged(uncorrected = True)
old_start1 = start1
i3_data.loadDataInFrames(fmin = start2, fmax = end2-1)
sub2 = i3_data.i3To2DGridAllChannelsMerged(uncorrected = True)
[corr, dx, dy, success] = imagecorrelation.xyOffset(sub1,
sub2,
scale)
dx = dx/float(scale)
dy = dy/float(scale)
print "offset between frame ranges ", start1, "-" , end1 , " and ", start2, "-", end2
if success:
print " -> ", dx, dy, "good"
else:
print " -> ", dx, dy, "bad"
print ""
pairs.append([i, j, dx, dy, success])