def goTest():
f, g = getSinoImages()
f = copy(ni, nx, f)
g = copy(ni + nl, nx, g)
SimplePlot.asPixels(f)
SimplePlot.asPixels(g)
mx = 4
ht = 50
#for mx in [1,5,10,20,40,80]:
#for mx in [1,4,16,64]:
for ht in [1, 25, 50, 100]:
ixl = nx / 2 - mx / 2
ixu = ixl + mx
nj = 1 + (ni - 1) / ht
i = rampint(0, ht, nj)
e = zerofloat(nl, ni)
for ix in range(ixl, ixu):
ei = DynamicWarpingS.computeErrors(nl, f[ix], g[ix])
add(ei, e, e)
u1 = DynamicWarpingS.findShifts(0.0, 2.0, e)
uj = DynamicWarpingS.findShiftsI(0.0, 2.0, e, i)
tj = rampfloat(0.0, ht, nj)
ti = rampfloat(0.0, 1.0, ni)
ci = CubicInterpolator(CubicInterpolator.Method.MONOTONIC, tj, uj)
u2 = ci.interpolate(ti)
plotErrors(e)
if ht > 1:
plotErrors(e, None, u2, tj, uj)
else:
plotErrors(e, None, u2)
def goTest():
f,g = getSinoImages()
f = copy(ni,nx,f)
g = copy(ni+nl,nx,g)
SimplePlot.asPixels(f)
SimplePlot.asPixels(g)
mx = 4
ht = 50
#for mx in [1,5,10,20,40,80]:
#for mx in [1,4,16,64]:
for ht in [1,25,50,100]:
ixl = nx/2-mx/2
ixu = ixl+mx
nj = 1+(ni-1)/ht
i = rampint(0,ht,nj)
e = zerofloat(nl,ni)
for ix in range(ixl,ixu):
ei = DynamicWarpingS.computeErrors(nl,f[ix],g[ix])
add(ei,e,e)
u1 = DynamicWarpingS.findShifts(0.0,2.0,e)
uj = DynamicWarpingS.findShiftsI(0.0,2.0,e,i)
tj = rampfloat(0.0,ht,nj)
ti = rampfloat(0.0,1.0,ni)
ci = CubicInterpolator(CubicInterpolator.Method.MONOTONIC,tj,uj)
u2 = ci.interpolate(ti)
plotErrors(e)
if ht>1:
plotErrors(e,None,u2,tj,uj)
else:
plotErrors(e,None,u2)
def computeErrors(mx, f, g):
ixl = nx / 2 - mx / 2
ixu = ixl + mx
e = zerofloat(nl, ni)
for ix in range(ixl, ixu):
ei = DynamicWarpingS.computeErrors(nl, f[ix], g[ix])
add(ei, e, e)
return e
def computeErrors(mx,f,g):
ixl = nx/2-mx/2
ixu = ixl+mx
e = zerofloat(nl,ni)
for ix in range(ixl,ixu):
ei = DynamicWarpingS.computeErrors(nl,f[ix],g[ix])
add(ei,e,e)
return e
