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Cla
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e
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est
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was
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h
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y
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(
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m
o
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el.
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,
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h
iev
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g
a
p
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ac
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ate
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e
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ce
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tio
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M
E
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H
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D
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e
h
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e
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llected
f
iv
e
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ar
i
eties
J
o
h
a
r
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n
am
ely
K
u
n
k
u
n
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o
h
a
,
Kete
k
i
J
o
h
a
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n
ip
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r
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o
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al
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o
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d
So
r
u
J
o
h
a
f
o
r
th
e
class
if
icatio
n
p
u
r
p
o
s
e.
Am
o
n
g
th
ese
v
a
r
ieties
Kete
k
i
an
d
Ma
n
ip
u
r
i
J
o
h
a
ar
e
alm
o
s
t
s
am
e
in
th
eir
p
h
y
s
ical
s
tr
u
ctu
r
e
a
n
d
c
o
lo
u
r
.
So
,
we
tak
e
th
ese
two
v
ar
ieties
f
o
r
b
i
n
ar
y
class
if
icatio
n
.
W
e
h
av
e
co
m
p
leted
o
u
r
wo
r
k
in
th
r
ee
s
tep
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.
Fig
u
r
e
1
s
h
o
ws
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th
e
s
tep
s
f
o
r
co
m
p
letin
g
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u
r
wo
r
k
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T
h
e
s
tep
s
f
r
o
m
th
e
Fig
u
r
e
1
ca
n
b
e
ex
p
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as f
o
llo
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:
Fig
u
r
e
1
.
Step
s
f
o
r
th
e
p
r
o
p
o
s
ed
wo
r
k
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
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lec
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g
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o
m
p
Sci
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3
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3
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r
ch
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:
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n
Fo
r
b
in
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y
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icatio
n
o
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o
h
a
r
ice
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e
6
4
0
im
ag
es
o
f
Kete
k
i
J
o
h
a
an
d
6
6
0
im
ag
es
o
f
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n
ip
u
r
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J
o
h
a
c
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ltiv
ated
in
d
i
f
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er
en
t
p
a
r
ts
in
Ass
am
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n
d
ia.
T
h
e
im
ag
e
ac
q
u
is
itio
n
is
ca
r
r
ied
o
u
t
with
OPPO
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6
an
d
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o
id
m
o
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ile
w
h
er
e
th
e
ca
m
er
a
h
as
th
e
f
o
llo
win
g
p
r
o
p
er
ties
:
m
a
i
n
c
a
m
e
r
a
:
5
0
M
P
,
f
/
1
.
8
,
F
O
V
7
7
°
,
5
P
l
e
n
s
,
A
F
.
T
h
e
im
ag
es
o
f
t
h
e
s
am
p
les
o
f
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ar
e
tak
en
at
s
am
e
d
is
tan
ce
f
r
o
m
th
e
s
u
r
f
ac
e.
Fo
r
r
ed
u
cin
g
th
e
n
o
is
e
a
b
lack
s
u
r
f
ac
e
is
u
s
ed
a
s
a
b
ac
k
g
r
o
u
n
d
.
2
.
2
.
P
re
-
pro
ce
s
s
ing
t
he
im
a
g
es
B
ef
o
r
e
p
r
o
ce
s
s
in
g
th
e
im
ag
e
s
,
we
h
av
e
s
to
r
ed
th
e
im
ag
es
with
p
r
o
p
er
lab
ellin
g
.
Th
e
im
ag
es
ar
e
s
to
r
ed
as in
th
e
Fig
u
r
e
s
2
an
d
3
.
Fig
u
r
e
2
.
T
h
e
s
to
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ed
im
a
g
es o
f
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n
ip
u
r
i
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h
a
Fig
u
r
e
3
.
T
h
e
s
to
r
ed
im
a
g
es o
f
Kete
k
i
J
o
h
a
E
ac
h
im
ag
e
h
as th
e
f
o
llo
win
g
p
r
o
p
er
ties
:
Dim
en
s
io
n
s
:
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4
0
8
0
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id
th
:
3
0
7
2
p
ix
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h
t
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0
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p
ix
els
Ho
r
izo
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tal
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eso
lu
tio
n
:
9
6
d
p
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Ver
tical
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eso
lu
tio
n
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9
6
d
p
i
B
it d
ep
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th
at
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e
n
u
m
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er
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its
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ef
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ea
ch
p
i
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is
2
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
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5
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7
52
C
la
s
s
i
fica
tio
n
o
f tra
d
itio
n
a
l J
o
h
a
r
ice
u
s
in
g
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ee
p
n
eu
r
a
l n
et
w
o
r
k
(
Hem
a
n
ta
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a
lita
)
1685
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r
m
o
r
p
h
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lo
g
ical
s
tr
u
ctu
r
e
we
u
s
e
th
e
v
er
n
ier
ca
lip
er
f
o
r
m
ea
s
u
r
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g
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e
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n
g
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an
d
w
id
th
o
f
th
e
s
am
p
le
o
f
r
ice.
W
e
tak
e
1
0
s
am
p
les
f
o
r
m
ea
s
u
r
i
n
g
t
h
e
len
g
t
h
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d
th
e
b
r
ea
th
o
f
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n
ip
u
r
i
J
o
h
a
is
s
h
o
wn
i
n
th
e
T
ab
le
2.
Fro
m
th
e
T
ab
le
2
t
h
e
av
er
ag
e
len
g
t
h
an
d
b
r
ea
d
t
h
o
f
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n
ip
u
r
i
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o
h
a
ar
e
7
.
8
4
m
m
an
d
1
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0
4
m
m
.
Simila
r
ly
th
e
len
g
t
h
an
d
th
e
b
r
ea
d
th
o
f
1
0
s
am
p
les o
f
Kete
k
i
J
o
h
a
ar
e
s
h
o
wn
in
th
e
T
ab
le
3
.
Fro
m
t
h
e
T
ab
le
3
th
e
av
er
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e
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g
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a
n
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d
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o
f
Kete
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i Jo
h
a
a
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e
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m
a
n
d
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9
9
m
m
.
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ab
le
2
.
T
h
e
len
g
th
s
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d
b
r
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d
th
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o
f
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n
ip
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r
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o
h
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n
g
t
h
(
m
m)
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e
a
d
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h
(
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)
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7
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le
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ea
d
th
s
o
f
Kete
k
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h
a
Le
n
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(
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ra
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he
mo
del w
it
h o
ur
o
wn da
t
a
s
et
Fo
r
b
in
ar
y
class
if
icatio
n
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tak
e
1
,
0
0
0
im
ag
es
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o
r
th
e
tr
ain
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g
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d
3
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s
am
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les
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t
esti
n
g
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el.
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h
er
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ar
e
d
if
f
er
e
n
t
ty
p
es
C
NN
m
o
d
el
a
v
ailab
le
lik
e
I
n
ce
p
tio
n
V3
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R
esNet,
an
d
VGG1
6
.
f
o
r
im
a
g
e
id
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tific
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n
an
d
class
if
icatio
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.
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h
e
I
n
ce
p
tio
n
V
3
m
o
d
el
h
as sev
er
al
ad
v
an
tag
es f
o
r
f
o
o
d
i
m
ag
e
c
lass
if
icatio
n
.
I
t
h
as
b
ee
n
s
u
cc
ess
f
u
lly
im
p
l
em
en
ted
in
v
ar
i
o
u
s
r
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ch
wo
r
k
s
,
ac
h
iev
in
g
h
ig
h
ac
c
u
r
a
cy
.
So
,
f
o
r
T
r
ain
in
g
o
u
r
d
ataset
we
u
s
e
th
e
I
n
ce
p
tio
n
V3
p
r
e
tr
ain
e
d
m
o
d
el
.
T
h
e
lib
r
ar
ies
f
o
r
b
u
ild
in
g
th
e
m
o
d
el
ar
e
s
h
o
wn
in
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e
Fig
u
r
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4
.
Fig
u
r
e
4
.
T
h
e
lib
r
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ies u
s
ed
f
o
r
th
e
m
o
d
el
I
n
o
u
r
wo
r
k
Nu
m
Py
is
u
s
ed
wo
r
k
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g
with
ar
r
ay
s
an
d
Pan
d
as
is
u
s
ed
f
o
r
wo
r
k
in
g
with
th
e
d
ataset.
B
ef
o
r
e
tr
ain
in
g
th
e
m
o
d
el,
i
m
ag
es
ar
e
p
r
o
ce
s
s
ed
u
s
in
g
I
m
a
g
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taGe
n
er
ato
r
ac
c
o
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d
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g
to
th
e
r
e
q
u
ir
em
e
n
t
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th
e
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n
ce
p
io
n
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m
o
d
el.
T
h
e
m
o
d
el
is
s
h
o
w
n
in
th
e
Fig
u
r
e
5
.
Her
e
th
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o
u
tp
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t
o
f
th
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b
a
s
e
m
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d
el
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d
d
to
t
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f
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ich
co
n
v
er
ts
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m
u
lti
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d
im
en
s
io
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ar
r
ay
i
n
to
f
latten
ed
o
n
e
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im
en
s
io
n
a
l
ar
r
ay
.
T
h
e
co
d
e
s
h
o
wn
in
Fig
u
r
e
6
f
o
r
co
m
p
ilin
g
an
d
d
is
p
lay
in
g
th
e
s
u
m
m
ar
y
o
f
th
e
m
o
d
el
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
3
7
,
No
.
3
,
Ma
r
ch
20
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5
:
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u
r
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.
Fin
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m
o
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el
Fig
u
r
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6
.
C
o
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f
o
r
d
is
p
lay
in
g
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e
s
u
m
m
ar
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f
th
e
m
o
d
el
Fo
r
ac
tiv
atio
n
p
u
r
p
o
s
e
we
h
av
e
u
s
ed
th
e
Sig
m
o
id
f
u
n
cti
o
n
as
we
ar
e
wo
r
k
in
g
o
n
b
i
n
ar
y
class
if
icatio
n
.
T
h
e
s
ig
m
o
id
f
u
n
ctio
n
is
ca
lcu
lated
as (
1
)
.
(
)
=
1
1
+
−
(
1
)
W
h
er
e
x
is
th
e
in
p
u
t t
o
th
e
s
ig
m
o
id
f
u
n
ctio
n
.
T
h
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A
d
am
o
p
tim
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is
u
s
ed
f
o
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th
e
o
p
tim
izatio
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p
u
r
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e.
I
n
o
u
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x
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n
t
th
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Ad
am
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p
tim
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m
in
im
ize
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lo
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f
u
n
ctio
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d
u
r
in
g
th
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tr
ai
n
in
g
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f
th
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m
o
d
el.
T
h
e
last
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n
v
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l
u
tio
n
lay
e
r
f
r
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m
th
e
s
u
m
m
ar
y
o
f
th
e
m
o
d
el
is
s
h
o
wn
in
th
e
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u
r
e
7
.
Fig
u
r
e
7
.
L
ast
co
n
v
o
lu
tio
n
lay
er
o
f
th
e
m
o
d
el
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
W
h
en
tr
ain
in
g
th
e
m
o
d
el
we
s
et
n
u
m
b
er
o
f
ep
o
c
h
is
1
0
.
Af
ter
th
e
f
ir
s
t
ep
o
ch
th
e
lo
s
s
v
er
s
u
s
ac
cu
r
ac
y
is
5
.
9
9
3
9
an
d
0
.
4
4
0
0
.
As
we
u
s
e
th
e
Ad
am
o
p
tim
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th
e
lo
s
s
f
u
n
ctio
n
is
g
r
a
d
u
ally
d
ec
r
ea
s
e
an
d
af
te
r
th
e
7
ep
o
ch
t
h
e
ac
cu
r
ac
y
is
im
p
r
o
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e
d
an
d
ac
h
ie
v
ed
h
ig
h
est
ac
cu
r
ac
y
9
6
%.
T
h
e
lo
s
s
a
n
d
ac
cu
r
ac
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g
r
ap
h
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s
h
o
wn
in
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e
Fig
u
r
e
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.
I
n
Fig
u
r
e
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th
e
b
lu
e
co
lo
u
r
lin
e
s
h
o
ws th
e
ac
cu
r
ac
y
lin
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2
5
0
2
-
4
7
52
C
la
s
s
i
fica
tio
n
o
f tra
d
itio
n
a
l J
o
h
a
r
ice
u
s
in
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ee
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Hem
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h
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lo
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d
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c
u
r
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r
ap
h
Af
ter
tr
ain
in
g
th
e
m
o
d
el
we
h
av
e
to
v
alid
ate
o
u
r
m
o
d
el.
Fo
r
v
alid
atin
g
p
u
r
p
o
s
e,
we
tak
e
a
n
y
r
an
d
o
m
im
ag
e
s
am
p
le
f
r
o
m
th
e
test
in
g
d
ataset.
I
f
we
tak
e
a
r
an
d
o
m
im
ag
e
s
am
p
le
o
f
Kete
k
i
J
o
h
a
,
th
e
v
alid
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n
p
r
o
ce
s
s
is
s
h
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wn
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th
e
Fig
u
r
e
9
.
Ag
ain
,
if
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tak
e
an
y
r
an
d
o
m
s
am
p
le
o
f
Ma
n
ip
u
r
i
J
o
h
a
th
e
v
alid
atio
n
p
r
o
ce
s
s
is
s
h
o
wn
in
th
e
Fig
u
r
e
1
0
.
Fig
u
r
e
9
.
Valid
atio
n
o
f
t
h
e
m
o
d
el
with
Kete
k
i
J
o
h
a
Fig
u
r
e
1
0
.
Valid
atio
n
o
f
th
e
m
o
d
el
with
Ma
n
ip
u
r
i
J
o
h
a
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
52
In
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
,
Vo
l.
3
7
,
No
.
3
,
Ma
r
ch
20
2
5
:
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682
-
1
6
9
1
1688
Af
ter
v
alid
atio
n
o
f
th
e
m
o
d
el
,
we
tr
y
to
v
is
u
alize
th
e
f
ea
t
u
r
es
th
at
m
ak
e
th
e
im
a
g
e
o
f
K
etek
i
J
o
h
a
s
ep
ar
ate
f
r
o
m
th
e
im
a
g
e
o
f
M
an
ip
u
r
i
J
o
h
a
.
Fo
r
th
is
p
u
r
p
o
s
e
we
h
av
e
u
s
ed
t
h
e
g
r
ad
ien
t
cl
ass
ac
tiv
atio
n
m
ap
(
GR
AD
-
C
A
M
)
m
eth
o
d
.
I
n
th
i
s
m
eth
o
d
we
f
ir
s
t
cr
ea
te
a
n
i
m
ag
e
with
R
GB
co
lo
r
ized
h
ea
tm
ap
o
f
th
e
o
r
ig
in
al
im
ag
e
o
f
Kete
k
i
J
o
h
a
.
T
h
e
h
e
atm
ap
im
ag
e
o
f
Kete
k
i
J
o
h
a
is
s
h
o
wn
in
Fig
u
r
e
1
1
.
No
w
th
e
h
ea
t
-
m
ap
im
ag
e
is
s
u
p
er
-
im
p
o
s
ed
o
n
o
r
ig
in
al
im
a
g
e.
T
h
e
s
u
p
er
im
p
o
s
ed
h
ea
tm
a
p
im
ag
e
o
f
Kete
k
i
J
o
h
a
is
s
h
o
wn
in
Fig
u
r
e
1
2
.
Fig
u
r
e
1
1
.
T
h
e
h
ea
tm
ap
im
ag
e
o
f
Kete
k
i
J
o
h
a
Fig
u
r
e
1
2
.
I
m
ag
e
with
h
ea
tm
a
p
r
ep
r
esen
tin
g
r
eg
i
o
n
o
f
in
ter
e
s
t o
f
Kete
k
i
J
o
h
a
W
h
en
we
tr
y
to
m
ap
th
e
o
r
ig
i
n
al
im
ag
e
to
th
e
h
ea
tm
a
p
im
a
g
e,
th
e
Gr
ad
-
C
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m
eth
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d
wi
ll
tak
e
th
e
to
p
p
o
r
tio
n
o
f
th
e
Kete
k
i
J
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h
a
r
ice
as
an
im
p
o
r
tan
t
r
eg
io
n
f
o
r
s
ep
ar
atin
g
it
f
r
o
m
Ma
n
ip
u
r
i
J
o
h
a
.
I
n
th
e
s
im
ilar
way
we
g
et
th
e
co
lo
r
ized
h
ea
tm
ap
im
ag
e
o
f
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e
Ma
n
i
p
u
r
i
J
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h
a
wh
ich
is
s
h
o
wn
in
Fig
u
r
e
1
3
.
No
w
th
e
h
ea
t
-
m
ap
im
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e
is
s
u
p
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im
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n
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ig
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im
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h
e
s
u
p
er
im
p
o
s
ed
h
ea
tm
ap
im
ag
e
o
f
Ma
n
i
p
u
r
i
J
o
h
a
is
s
h
o
wn
in
Fig
u
r
e
1
4
.
Fig
u
r
e
1
3
.
T
h
e
h
ea
tm
ap
im
ag
e
o
f
Ma
n
ip
u
r
i
J
o
h
a
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2
5
0
2
-
4
7
52
C
la
s
s
i
fica
tio
n
o
f tra
d
itio
n
a
l J
o
h
a
r
ice
u
s
in
g
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p
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r
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l n
et
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Hem
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g
r
eg
i
o
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f
in
ter
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f
Ma
n
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h
a
W
h
en
we
tr
y
to
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ap
th
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ig
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n
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im
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Gr
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will
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id
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ar
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f
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Ma
n
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a
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t
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f
o
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ar
atin
g
it
f
r
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m
Kete
k
i
J
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a
.
T
h
e
f
u
n
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f
o
r
im
p
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s
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1
5
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Fig
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r
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1
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Fu
n
ctio
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s
o
f
GR
AD
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C
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eth
o
d
4.
CO
NCLU
SI
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T
h
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v
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all
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ca
p
t
u
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ed
in
d
if
f
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en
t
s
itu
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s
.
I
n
itially
we
h
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co
llected
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e
im
ag
es
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d
s
to
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ed
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d
if
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v
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o
f
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o
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a
r
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d
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e
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ier
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llip
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r
.
So
m
e
o
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th
e
v
e
r
ities
o
f
J
o
h
a
r
ice
ar
e
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t
id
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tical
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ter
m
s
o
f
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th
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n
d
c
o
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r
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t
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tify
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o
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am
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g
th
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d
if
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en
t v
a
r
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W
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tak
e
two
v
ar
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tek
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J
o
h
a
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d
Ma
n
ip
u
r
i
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o
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t sam
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ter
m
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m
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u
ctu
r
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h
e
im
ag
es
o
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th
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ty
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a
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e
tak
e
n
f
r
o
m
th
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s
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e
d
is
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ce
.
At
th
e
in
itial
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tate,
we
ar
e
n
o
t
awa
r
e
th
e
b
ac
k
g
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o
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n
d
o
f
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ter
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I
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b
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RE
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[
1
]
L.
La
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k
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.
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n
t
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t
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8
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R
.
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