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Stephan Hilb
SemiSmoothNewton.jl
Commits
76a08618
Commit
76a08618
authored
Jan 14, 2022
by
Stephan Hilb
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add preliminary optflow changes
parent
c2e24364
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1 changed file
scripts/run_experiments.jl
+79
-45
79 additions, 45 deletions
scripts/run_experiments.jl
with
79 additions
and
45 deletions
scripts/run_experiments.jl
+
79
−
45
View file @
76a08618
...
...
@@ -851,17 +851,18 @@ function inpaint(img, imgmask; name, params...)
end
function
optflow
(
ctx
)
# coord flip
tol_newton
=
1e-6
# cauchy criterion
size
(
ctx
.
params
.
imgf0
)
==
size
(
ctx
.
params
.
imgf1
)
||
throw
(
ArgumentError
(
"non-matching image sizes"
))
m
=
2
# range dim of vector field
imgf0
=
from_img
(
ctx
.
params
.
imgf0
)
imgf1
=
from_img
(
ctx
.
params
.
imgf1
)
maxflow
=
4.6157
# Dimetrodon
size
(
imgf0
)
==
size
(
imgf1
)
||
throw
(
ArgumentError
(
"non-matching dimensions"
))
m
=
2
#mesh = init_grid(imgf0; type=:vertex)
mesh
=
init_grid
(
imgf0
,
(
size
(
imgf0
)
.÷
16
)
...
)
#mesh = init_grid(imgf0)
mesh
=
init_grid
(
imgf0
,
(
size
(
imgf0
)
.÷
2
^
3
)
...
)
domain_factor
=
1
/
sqrt
(
area
(
mesh
))
# optflow specific stuff
Vg
=
FeSpace
(
mesh
,
P1
(),
(
1
,))
...
...
@@ -869,7 +870,7 @@ function optflow(ctx)
f1
=
FeFunction
(
Vg
,
name
=
"f1"
)
fw
=
FeFunction
(
Vg
,
name
=
"fw"
)
T
(
tdata
,
u
)
=
tdata
*
u
# tdata
=
nablafw
T
(
tdata
,
u
)
=
tdata
*
u
#
here
tdata
will be
nabla
(
fw
)
S
(
u
,
nablau
)
=
nablau
#S(u, nablau) = u
...
...
@@ -881,22 +882,19 @@ function optflow(ctx)
imgfw
=
warp_backwards
(
imgf1
,
sample
(
st
.
u
))
project_l2_lagrange!
(
fw
,
imgfw
)
# replace new tdata
st
=
L1L2TVContext
(
"run"
,
mesh
,
st
.
d
,
st
.
m
,
T
,
nabla
(
fw
),
S
,
st
.
alpha1
,
st
.
alpha2
,
st
.
beta
,
st
.
lambda
,
st
.
gamma1
,
st
.
gamma2
,
st
.
est
,
st
.
g
,
st
.
u
,
st
.
p1
,
st
.
p2
,
st
.
du
,
st
.
dp1
,
st
.
dp2
)
g_optflow
(
x
;
u
,
f0
,
fw
,
nablafw
)
=
#nablafw * u
nablafw
*
u
-
(
fw
-
f0
)
interpolate!
(
st
.
g
,
g_optflow
;
st
.
u
,
f0
,
fw
,
nablafw
=
st
.
tdata
)
end
function
reproject
!
()
project_
qi_lagrange
!
(
f0
,
imgf0
)
project_
qi_lagrange
!
(
f1
,
imgf1
)
function
interpolate_image_data
!
()
project_
l2_pixel
!
(
f0
,
imgf0
)
project_
l2_pixel
!
(
f1
,
imgf1
)
end
reproject!
()
warp!
()
interpolate_image_data!
()
warp!
()
# just to fill st.g
save_step
(
i
)
=
output
(
st
,
joinpath
(
ctx
.
outdir
,
"output_
$
(lpad(i, 5, '0')).vtu"
),
...
...
@@ -904,31 +902,36 @@ function optflow(ctx)
i
=
0
pvd
=
paraview_collection
(
joinpath
(
ctx
.
outdir
,
"output.pvd"
))
do
pvd
pvd
[
i
]
=
save_step
(
i
)
while
true
for
j
in
1
:
4
norm_g_old
=
norm_l2
(
st
.
g
)
for
k
in
1
:
5
i
+=
1
step!
(
st
)
estimate!
(
st
)
pvd
[
i
]
=
save_step
(
i
)
#norm_g_old = norm_l2(st.g)
for
j
in
1
:
3
norm_step_
=
Inf
while
norm_step_
>
tol_newton
println
()
end
warp!
()
norm_g
=
norm_l2
(
st
.
g
)
i
+=
1
step!
(
st
)
#estimate!(st)
pvd
[
i
]
=
save_step
(
i
)
display
(
plot
(
colorflow
(
to_img
(
sample
(
st
.
u
));
maxflow
)))
end
i
>=
50
&&
break
#continue
marked_cells
=
mark
(
st
;
theta
=
0.5
)
#marked_cells = Set(axes(mesh.cells, 2)
)
norm_step_
=
norm_step
(
st
)
*
domain_factor
println
(
"norm_step =
$
norm_step_"
)
println
(
"refining ..."
)
# residual is basically unusable: takes long to compute and
# oscillates
#norm_residual_ = norm_residual(st) * domain_factor
#println("norm_residual = $norm_residual_")
display
(
plot
(
colorflow
(
to_img
(
sample
(
st
.
u
));
ctx
.
params
.
maxflow
)))
end
# poor man's hash
#println(integrate(st.mesh, (x; tdata) -> tdata; st.tdata))
println
(
"refine ..."
)
marked_cells
=
Set
(
axes
(
mesh
.
cells
,
2
))
mesh
,
fs
=
refine
(
mesh
,
marked_cells
;
st
.
est
,
st
.
g
,
st
.
u
,
st
.
p1
,
st
.
p2
,
st
.
du
,
st
.
dp1
,
st
.
dp2
,
f0
,
f1
,
fw
)
...
...
@@ -936,16 +939,46 @@ function optflow(ctx)
st
.
alpha1
,
st
.
alpha2
,
st
.
beta
,
st
.
lambda
,
st
.
gamma1
,
st
.
gamma2
,
fs
.
est
,
fs
.
g
,
fs
.
u
,
fs
.
p1
,
fs
.
p2
,
fs
.
du
,
fs
.
dp1
,
fs
.
dp2
)
f0
,
f1
,
fw
=
(
fs
.
f0
,
fs
.
f1
,
fs
.
fw
)
i
+=
1
pvd
[
i
]
=
save_step
(
i
)
println
(
"reprojecting ..."
)
reproject!
()
i
+=
1
#i += 1
pvd
[
i
]
=
save_step
(
i
)
println
(
"interpolate image data ..."
)
interpolate_image_data!
()
println
(
"warp ..."
)
warp!
()
# yay
end
#warp!()
#norm_g = norm_l2(st.g)
#i += 1
#pvd[i] = save_step(i)
#i >= 50 && break
#continue
#marked_cells = mark(st; theta = 0.5)
#marked_cells = Set(axes(mesh.cells, 2))
#println("refining ...")
#mesh, fs = refine(mesh, marked_cells;
# st.est, st.g, st.u, st.p1, st.p2, st.du, st.dp1, st.dp2,
# f0, f1, fw)
#st = L1L2TVContext("run", mesh, st.d, st.m, T, nabla(fs.fw), S,
# st.alpha1, st.alpha2, st.beta, st.lambda, st.gamma1, st.gamma2,
# fs.est, fs.g, fs.u, fs.p1, fs.p2, fs.du, fs.dp1, fs.dp2)
#f0, f1, fw = (fs.f0, fs.f1, fs.fw)
# i += 1
# pvd[i] = save_step(i)
#println("interpolate image data ...")
#interpolate_image_data!()
# i += 1
# pvd[i] = save_step(i)
end
display
(
plot
(
colorflow
(
to_img
(
sample
(
st
.
u
));
maxflow
)))
display
(
plot
(
colorflow
(
to_img
(
sample
(
st
.
u
));
ctx
.
params
.
maxflow
)))
#CSV.write(joinpath(ctx.outdir, "energies.csv"), df)
#saveimg(joinpath(ctx.outdir, "output_glob.png"), fetch_u(states.glob))
...
...
@@ -957,8 +990,9 @@ end
function
experiment_optflow_middlebury
(
ctx
)
imgf0
=
loadimg
(
joinpath
(
ctx
.
indir
,
"frame10.png"
))
imgf1
=
loadimg
(
joinpath
(
ctx
.
indir
,
"frame11.png"
))
maxflow
=
4.6157
# Dimetrodon
ctx
=
Util
.
Context
(
ctx
;
imgf0
,
imgf1
)
ctx
=
Util
.
Context
(
ctx
;
imgf0
,
imgf1
,
maxflow
)
return
optflow
(
ctx
)
end
...
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