Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
BlenderPhi
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Wiki
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Build
Pipelines
Jobs
Pipeline schedules
Artifacts
Deploy
Releases
Package registry
Container registry
Model registry
Operate
Environments
Terraform modules
Monitor
Incidents
Analyze
Value stream analytics
Contributor analytics
CI/CD analytics
Repository analytics
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
GitLab community forum
Contribute to GitLab
Provide feedback
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
raas
BlenderPhi
Commits
07cd0ac9
Commit
07cd0ac9
authored
Apr 3, 2004
by
Ton Roosendaal
Browse files
Options
Downloads
Patches
Plain Diff
- oh, the new C file!
parent
0ae03d16
No related branches found
No related tags found
No related merge requests found
Changes
1
Show whitespace changes
Inline
Side-by-side
Showing
1 changed file
source/blender/python/api2_2x/Noise.c
+532
-0
532 additions, 0 deletions
source/blender/python/api2_2x/Noise.c
with
532 additions
and
0 deletions
source/blender/python/api2_2x/Noise.c
0 → 100644
+
532
−
0
View file @
07cd0ac9
/************************/
/* Blender Noise Module */
/************************/
#include
<Python.h>
#include
<math.h>
#include
<BLI_blenlib.h>
#include
<DNA_texture_types.h>
#include
"constant.h"
/*------------------------------------------------------------------------------------*/
/* 'mersenne twister' random number generator */
/* Period parameters */
#define N 624
#define M 397
#define MATRIX_A 0x9908b0dfUL
/* constant vector a */
#define UMASK 0x80000000UL
/* most significant w-r bits */
#define LMASK 0x7fffffffUL
/* least significant r bits */
#define MIXBITS(u,v) ( ((u) & UMASK) | ((v) & LMASK) )
#define TWIST(u,v) ((MIXBITS(u,v) >> 1) ^ ((v)&1UL ? MATRIX_A : 0UL))
static
unsigned
long
state
[
N
];
/* the array for the state vector */
static
int
left
=
1
;
static
int
initf
=
0
;
static
unsigned
long
*
next
;
/* initializes state[N] with a seed */
static
void
init_genrand
(
unsigned
long
s
)
{
int
j
;
state
[
0
]
=
s
&
0xffffffffUL
;
for
(
j
=
1
;
j
<
N
;
j
++
)
{
state
[
j
]
=
(
1812433253UL
*
(
state
[
j
-
1
]
^
(
state
[
j
-
1
]
>>
30
))
+
j
);
/* See Knuth TAOCP Vol2. 3rd Ed. P.106 for multiplier. */
/* In the previous versions, MSBs of the seed affect */
/* only MSBs of the array state[]. */
/* 2002/01/09 modified by Makoto Matsumoto */
state
[
j
]
&=
0xffffffffUL
;
/* for >32 bit machines */
}
left
=
1
;
initf
=
1
;
}
static
void
next_state
(
void
)
{
unsigned
long
*
p
=
state
;
int
j
;
/* if init_genrand() has not been called, */
/* a default initial seed is used */
if
(
initf
==
0
)
init_genrand
(
5489UL
);
left
=
N
;
next
=
state
;
for
(
j
=
N
-
M
+
1
;
--
j
;
p
++
)
*
p
=
p
[
M
]
^
TWIST
(
p
[
0
],
p
[
1
]);
for
(
j
=
M
;
--
j
;
p
++
)
*
p
=
p
[
M
-
N
]
^
TWIST
(
p
[
0
],
p
[
1
]);
*
p
=
p
[
M
-
N
]
^
TWIST
(
p
[
0
],
state
[
0
]);
}
/*------------------------------------------------------------------------------------*/
static
void
setRndSeed
(
int
seed
)
{
if
(
seed
==
0
)
init_genrand
(
time
(
NULL
));
else
init_genrand
(
seed
);
}
/* float number in range [0, 1) */
static
float
frand
()
{
unsigned
long
y
;
if
(
--
left
==
0
)
next_state
();
y
=
*
next
++
;
/* Tempering */
y
^=
(
y
>>
11
);
y
^=
(
y
<<
7
)
&
0x9d2c5680UL
;
y
^=
(
y
<<
15
)
&
0xefc60000UL
;
y
^=
(
y
>>
18
);
return
(
float
)
y
/
4294967296
.
f
;
}
/* returns random unit vector */
static
void
randuvec
(
float
v
[
3
])
{
float
r
;
v
[
2
]
=
2
.
f
*
frand
()
-
1
.
f
;
if
((
r
=
1
.
f
-
v
[
2
]
*
v
[
2
])
>
0
.
f
)
{
float
a
=
6
.
283185307
f
*
frand
();
r
=
sqrt
(
r
);
v
[
0
]
=
r
*
cos
(
a
);
v
[
1
]
=
r
*
sin
(
a
);
}
else
v
[
2
]
=
1
.
f
;
}
static
PyObject
*
Noise_random
(
PyObject
*
self
)
{
return
Py_BuildValue
(
"f"
,
frand
());
}
static
PyObject
*
Noise_randuvec
(
PyObject
*
self
)
{
float
v
[
3
];
randuvec
(
v
);
return
Py_BuildValue
(
"[fff]"
,
v
[
0
],
v
[
1
],
v
[
2
]);
}
/*------------------------------------------------------------------------------------*/
/* Random seed init. Only used for MT random() & randuvec() */
static
PyObject
*
Noise_setRandomSeed
(
PyObject
*
self
,
PyObject
*
args
)
{
int
s
;
if
(
!
PyArg_ParseTuple
(
args
,
"i"
,
&
s
))
return
NULL
;
setRndSeed
(
s
);
Py_INCREF
(
Py_None
);
return
Py_None
;
}
/*------------------------------------------------------------------------------------*/
/* General noise */
static
PyObject
*
Noise_noise
(
PyObject
*
self
,
PyObject
*
args
)
{
float
x
,
y
,
z
;
int
nb
=
1
;
if
(
!
PyArg_ParseTuple
(
args
,
"(fff)|ii"
,
&
x
,
&
y
,
&
z
,
&
nb
))
return
NULL
;
return
Py_BuildValue
(
"f"
,
2
.
0
*
BLI_gNoise
(
1
.
0
,
x
,
y
,
z
,
0
,
nb
)
-
1
.
0
);
}
/*------------------------------------------------------------------------------------*/
/* General Vector noise */
static
void
vNoise
(
float
x
,
float
y
,
float
z
,
int
nb
,
float
v
[
3
])
{
/* Simply evaluate noise at 3 different positions */
v
[
0
]
=
2
.
0
*
BLI_gNoise
(
1
.
f
,
x
+
9
.
321
f
,
y
-
1
.
531
f
,
z
-
7
.
951
f
,
0
,
nb
)
-
1
.
0
;
v
[
1
]
=
2
.
0
*
BLI_gNoise
(
1
.
f
,
x
,
y
,
z
,
0
,
nb
)
-
1
.
0
;
v
[
2
]
=
2
.
0
*
BLI_gNoise
(
1
.
f
,
x
+
6
.
327
f
,
y
+
0
.
1671
f
,
z
-
2
.
672
f
,
0
,
nb
)
-
1
.
0
;
}
static
PyObject
*
Noise_vNoise
(
PyObject
*
self
,
PyObject
*
args
)
{
float
x
,
y
,
z
,
v
[
3
];
int
nb
=
1
;
if
(
!
PyArg_ParseTuple
(
args
,
"(fff)"
,
&
x
,
&
y
,
&
z
,
&
nb
))
return
NULL
;
vNoise
(
x
,
y
,
z
,
nb
,
v
);
return
Py_BuildValue
(
"[fff]"
,
v
[
0
],
v
[
1
],
v
[
2
]);
}
/*------------------------------------------------------------------------------------*/
/* General turbulence */
static
float
turb
(
float
x
,
float
y
,
float
z
,
int
oct
,
int
hard
,
int
nb
,
float
ampscale
,
float
freqscale
)
{
float
amp
,
out
,
t
;
int
i
;
amp
=
1
.
f
;
out
=
2
.
0
*
BLI_gNoise
(
1
.
f
,
x
,
y
,
z
,
0
,
nb
)
-
1
.
0
;
if
(
hard
)
out
=
fabs
(
out
);
for
(
i
=
1
;
i
<
oct
;
i
++
)
{
amp
*=
ampscale
;
x
*=
freqscale
;
y
*=
freqscale
;
z
*=
freqscale
;
t
=
amp
*
(
2
.
0
*
BLI_gNoise
(
1
.
f
,
x
,
y
,
z
,
0
,
nb
)
-
1
.
0
);
if
(
hard
)
t
=
fabs
(
t
);
out
+=
t
;
}
return
out
;
}
static
PyObject
*
Noise_turbulence
(
PyObject
*
self
,
PyObject
*
args
)
{
float
x
,
y
,
z
;
int
oct
,
hd
,
nb
=
1
;
float
as
=
0
.
5
,
fs
=
2
.
0
;
if
(
!
PyArg_ParseTuple
(
args
,
"(fff)ii|iff"
,
&
x
,
&
y
,
&
z
,
&
oct
,
&
hd
,
&
nb
,
&
as
,
&
fs
))
return
NULL
;
return
Py_BuildValue
(
"f"
,
turb
(
x
,
y
,
z
,
oct
,
hd
,
nb
,
as
,
fs
));
}
/*------------------------------------------------------------------------------------*/
/* Turbulence Vector */
static
void
vTurb
(
float
x
,
float
y
,
float
z
,
int
oct
,
int
hard
,
int
nb
,
float
ampscale
,
float
freqscale
,
float
v
[
3
])
{
float
amp
,
t
[
3
];
int
i
;
amp
=
1
.
f
;
vNoise
(
x
,
y
,
z
,
nb
,
v
);
if
(
hard
)
{
v
[
0
]
=
fabs
(
v
[
0
]);
v
[
1
]
=
fabs
(
v
[
1
]);
v
[
2
]
=
fabs
(
v
[
2
]);
}
for
(
i
=
1
;
i
<
oct
;
i
++
)
{
amp
*=
ampscale
;
x
*=
freqscale
;
y
*=
freqscale
;
z
*=
freqscale
;
vNoise
(
x
,
y
,
z
,
nb
,
t
);
if
(
hard
)
{
t
[
0
]
=
fabs
(
t
[
0
]);
t
[
1
]
=
fabs
(
t
[
1
]);
t
[
2
]
=
fabs
(
t
[
2
]);
}
v
[
0
]
+=
amp
*
t
[
0
];
v
[
1
]
+=
amp
*
t
[
1
];
v
[
2
]
+=
amp
*
t
[
2
];
}
}
static
PyObject
*
Noise_vTurbulence
(
PyObject
*
self
,
PyObject
*
args
)
{
float
x
,
y
,
z
,
v
[
3
];
int
oct
,
hd
,
nb
=
1
;
float
as
=
0
.
5
,
fs
=
2
.
0
;
if
(
!
PyArg_ParseTuple
(
args
,
"(fff)ii|iff"
,
&
x
,
&
y
,
&
z
,
&
oct
,
&
hd
,
&
nb
,
&
as
,
&
fs
))
return
NULL
;
vTurb
(
x
,
y
,
z
,
oct
,
hd
,
nb
,
as
,
fs
,
v
);
return
Py_BuildValue
(
"[fff]"
,
v
[
0
],
v
[
1
],
v
[
2
]);
}
/*------------------------------------------------------------------------------------*/
/* F. Kenton Musgrave's fractal functions */
static
PyObject
*
Noise_fBm
(
PyObject
*
self
,
PyObject
*
args
)
{
float
x
,
y
,
z
,
H
,
lac
,
oct
;
int
nb
=
1
;
if
(
!
PyArg_ParseTuple
(
args
,
"(fff)fff|i"
,
&
x
,
&
y
,
&
z
,
&
H
,
&
lac
,
&
oct
,
&
nb
))
return
NULL
;
return
Py_BuildValue
(
"f"
,
mg_fBm
(
x
,
y
,
z
,
H
,
lac
,
oct
,
nb
));
}
/*------------------------------------------------------------------------------------*/
static
PyObject
*
Noise_multiFractal
(
PyObject
*
self
,
PyObject
*
args
)
{
float
x
,
y
,
z
,
H
,
lac
,
oct
;
int
nb
=
1
;
if
(
!
PyArg_ParseTuple
(
args
,
"(fff)fff|i"
,
&
x
,
&
y
,
&
z
,
&
H
,
&
lac
,
&
oct
,
&
nb
))
return
NULL
;
return
Py_BuildValue
(
"f"
,
mg_MultiFractal
(
x
,
y
,
z
,
H
,
lac
,
oct
,
nb
));
}
/*------------------------------------------------------------------------------------*/
static
PyObject
*
Noise_vlNoise
(
PyObject
*
self
,
PyObject
*
args
)
{
float
x
,
y
,
z
,
d
;
int
nt1
=
1
,
nt2
=
1
;
if
(
!
PyArg_ParseTuple
(
args
,
"(fff)f|ii"
,
&
x
,
&
y
,
&
z
,
&
d
,
&
nt1
,
&
nt2
))
return
NULL
;
return
Py_BuildValue
(
"f"
,
mg_VLNoise
(
x
,
y
,
z
,
d
,
nt1
,
nt2
));
}
/*------------------------------------------------------------------------------------*/
static
PyObject
*
Noise_heteroTerrain
(
PyObject
*
self
,
PyObject
*
args
)
{
float
x
,
y
,
z
,
H
,
lac
,
oct
,
ofs
;
int
nb
=
1
;
if
(
!
PyArg_ParseTuple
(
args
,
"(fff)ffff|i"
,
&
x
,
&
y
,
&
z
,
&
H
,
&
lac
,
&
oct
,
&
ofs
,
&
nb
))
return
NULL
;
return
Py_BuildValue
(
"f"
,
mg_HeteroTerrain
(
x
,
y
,
z
,
H
,
lac
,
oct
,
ofs
,
nb
));
}
/*------------------------------------------------------------------------------------*/
static
PyObject
*
Noise_hybridMFractal
(
PyObject
*
self
,
PyObject
*
args
)
{
float
x
,
y
,
z
,
H
,
lac
,
oct
,
ofs
,
gn
;
int
nb
=
1
;
if
(
!
PyArg_ParseTuple
(
args
,
"(fff)fffff|i"
,
&
x
,
&
y
,
&
z
,
&
H
,
&
lac
,
&
oct
,
&
ofs
,
&
gn
,
&
nb
))
return
NULL
;
return
Py_BuildValue
(
"f"
,
mg_HybridMultiFractal
(
x
,
y
,
z
,
H
,
lac
,
oct
,
ofs
,
gn
,
nb
));
}
/*------------------------------------------------------------------------------------*/
static
PyObject
*
Noise_ridgedMFractal
(
PyObject
*
self
,
PyObject
*
args
)
{
float
x
,
y
,
z
,
H
,
lac
,
oct
,
ofs
,
gn
;
int
nb
=
1
;
if
(
!
PyArg_ParseTuple
(
args
,
"(fff)fffff|i"
,
&
x
,
&
y
,
&
z
,
&
H
,
&
lac
,
&
oct
,
&
ofs
,
&
gn
,
&
nb
))
return
NULL
;
return
Py_BuildValue
(
"f"
,
mg_RidgedMultiFractal
(
x
,
y
,
z
,
H
,
lac
,
oct
,
ofs
,
gn
,
nb
));
}
/*------------------------------------------------------------------------------------*/
static
PyObject
*
Noise_voronoi
(
PyObject
*
self
,
PyObject
*
args
)
{
float
x
,
y
,
z
,
da
[
4
],
pa
[
12
];
int
dtype
=
0
;
float
me
=
2
.
5
;
/* default minkovsky exponent */
if
(
!
PyArg_ParseTuple
(
args
,
"(fff)|if"
,
&
x
,
&
y
,
&
z
,
&
dtype
,
&
me
))
return
NULL
;
voronoi
(
x
,
y
,
z
,
da
,
pa
,
me
,
dtype
);
return
Py_BuildValue
(
"[[ffff][[fff][fff][fff][fff]]]"
,
da
[
0
],
da
[
1
],
da
[
2
],
da
[
3
],
pa
[
0
],
pa
[
1
],
pa
[
2
],
pa
[
3
],
pa
[
4
],
pa
[
5
],
pa
[
6
],
pa
[
7
],
pa
[
8
],
pa
[
9
],
pa
[
10
],
pa
[
12
]);
}
/*------------------------------------------------------------------------------------*/
static
PyObject
*
Noise_cellNoise
(
PyObject
*
self
,
PyObject
*
args
)
{
float
x
,
y
,
z
;
if
(
!
PyArg_ParseTuple
(
args
,
"(fff)"
,
&
x
,
&
y
,
&
z
))
return
NULL
;
return
Py_BuildValue
(
"f"
,
cellNoise
(
x
,
y
,
z
));
}
/*------------------------------------------------------------------------------------*/
static
PyObject
*
Noise_cellNoiseV
(
PyObject
*
self
,
PyObject
*
args
)
{
float
x
,
y
,
z
,
ca
[
3
];
if
(
!
PyArg_ParseTuple
(
args
,
"(fff)"
,
&
x
,
&
y
,
&
z
))
return
NULL
;
cellNoiseV
(
x
,
y
,
z
,
ca
);
return
Py_BuildValue
(
"[fff]"
,
ca
[
0
],
ca
[
1
],
ca
[
2
]);
}
/*------------------------------------------------------------------------------------*/
/* For all other Blender modules, this stuff seems to be put in a header file.
This doesn't seem really appropriate to me, so I just put it here, feel free to change it.
In the original module I actually kept the docs stings with the functions themselves,
but I grouped them here so that it can easily be moved to a header if anyone thinks that is necessary. */
static
char
random__doc__
[]
=
"() No arguments.
\n\n
\
Returns a random floating point number in the range [0, 1)"
;
static
char
randuvec__doc__
[]
=
"() No arguments.
\n\n
Returns a random unit vector (3-float list)."
;
static
char
setRandomSeed__doc__
[]
=
"(seed value)
\n\n
\
Initializes random number generator.
\n
\
if seed is zero, the current time will be used instead."
;
static
char
noise__doc__
[]
=
"((x,y,z) tuple, [noisetype])
\n\n
\
Returns general noise of the optional specified type.
\n
\
Optional argument noisetype determines the type of noise, STDPERLIN by default, see NoiseTypes."
;
static
char
vNoise__doc__
[]
=
"((x,y,z) tuple, [noisetype])
\n\n
\
Returns noise vector (3-float list) of the optional specified type.\
Optional argument noisetype determines the type of noise, STDPERLIN by default, see NoiseTypes."
;
static
char
turbulence__doc__
[]
=
"((x,y,z) tuple, octaves, hard, [noisebasis], [ampscale], [freqscale])
\n\n
\
Returns general turbulence value using the optional specified noisebasis function.
\n
\
octaves (integer) is the number of noise values added.
\n
\
hard (bool), when false (0) returns 'soft' noise, when true (1) returns 'hard' noise (returned value always positive).
\n
\
Optional arguments:
\n
\
noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes.
\n
\
ampscale sets the amplitude scale value of the noise frequencies added, 0.5 by default.
\n
\
freqscale sets the frequency scale factor, 2.0 by default."
;
static
char
vTurbulence__doc__
[]
=
"((x,y,z) tuple, octaves, hard, [noisebasis], [ampscale], [freqscale])
\n\n
\
Returns general turbulence vector (3-float list) using the optional specified noisebasis function.
\n
\
octaves (integer) is the number of noise values added.
\n
\
hard (bool), when false (0) returns 'soft' noise, when true (1) returns 'hard' noise (returned vector always positive).
\n
\
Optional arguments:
\n
\
noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes.
\n
\
ampscale sets the amplitude scale value of the noise frequencies added, 0.5 by default.
\n
\
freqscale sets the frequency scale factor, 2.0 by default."
;
static
char
fBm__doc__
[]
=
"((x,y,z) tuple, H, lacunarity, octaves, [noisebasis])
\n\n
\
Returns Fractal Brownian Motion noise value(fBm).
\n
\
H is the fractal increment parameter.
\n
\
lacunarity is the gap between successive frequencies.
\n
\
octaves is the number of frequencies in the fBm.
\n
\
Optional argument noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes."
;
static
char
multiFractal__doc__
[]
=
"((x,y,z) tuple, H, lacunarity, octaves, [noisebasis])
\n\n
\
Returns Multifractal noise value.
\n
\
H determines the highest fractal dimension.
\n
\
lacunarity is gap between successive frequencies.
\n
\
octaves is the number of frequencies in the fBm.
\n
\
Optional argument noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes."
;
static
char
vlNoise__doc__
[]
=
"((x,y,z) tuple, distortion, [noisetype1], [noisetype2])
\n\n
\
Returns Variable Lacunarity Noise value, a distorted variety of noise.
\n
\
distortion sets the amount of distortion.
\n
\
Optional arguments noisetype1 and noisetype2 set the noisetype to distort and the noisetype used for the distortion respectively.
\n
\
See NoiseTypes, both are STDPERLIN by default."
;
static
char
heteroTerrain__doc__
[]
=
"((x,y,z) tuple, H, lacunarity, octaves, offset, [noisebasis])
\n\n
\
returns Heterogeneous Terrain value
\n
\
H determines the fractal dimension of the roughest areas.
\n
\
lacunarity is the gap between successive frequencies.
\n
\
octaves is the number of frequencies in the fBm.
\n
\
offset raises the terrain from 'sea level'.
\n
\
Optional argument noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes."
;
static
char
hybridMFractal__doc__
[]
=
"((x,y,z) tuple, H, lacunarity, octaves, offset, gain, [noisebasis])
\n\n
\
returns Hybrid Multifractal value.
\n
\
H determines the fractal dimension of the roughest areas.
\n
\
lacunarity is the gap between successive frequencies.
\n
\
octaves is the number of frequencies in the fBm.
\n
\
offset raises the terrain from 'sea level'.
\n
\
gain scales the values.
\n
\
Optional argument noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes."
;
static
char
ridgedMFractal__doc__
[]
=
"((x,y,z) tuple, H, lacunarity, octaves, offset, gain [noisebasis])
\n\n
\
returns Ridged Multifractal value.
\n
\
H determines the fractal dimension of the roughest areas.
\n
\
lacunarity is the gap between successive frequencies.
\n
\
octaves is the number of frequencies in the fBm.
\n
\
offset raises the terrain from 'sea level'.
\n
\
gain scales the values.
\n
\
Optional argument noisebasis determines the type of noise used for the turbulence, STDPERLIN by default, see NoiseTypes."
;
static
char
voronoi__doc__
[]
=
"((x,y,z) tuple, distance_metric, [exponent])
\n\n
\
returns a list, containing a list of distances in order of closest feature,
\n
\
and a list containing the positions of the four closest features
\n
\
Optional arguments:
\n
\
distance_metric: see DistanceMetrics, default is DISTANCE
\n
\
exponent is only used with MINKOVSKY, default is 2.5."
;
static
char
cellNoise__doc__
[]
=
"((x,y,z) tuple)
\n\n
\
returns cellnoise float value."
;
static
char
cellNoiseV__doc__
[]
=
"((x,y,z) tuple)
\n\n
\
returns cellnoise vector/point/color (3-float list)."
;
static
char
Noise__doc__
[]
=
"Blender Noise and Turbulence Module
\n\n
\
This module can be used to generate noise of various types.
\n
\
This can be used for terrain generation, to create textures,
\n
\
make animations more 'animated', object deformation, etc.
\n
\
As an example, this code segment when scriptlinked to a framechanged event,
\n
\
will make the camera sway randomly about, by changing parameters this can
\n
\
look like anything from an earthquake to a very nervous or maybe even drunk cameraman...
\n
\
(the camera needs an ipo with at least one Loc & Rot key for this to work!):
\n
\
\n
\
\t
from Blender import Get, Scene, Noise
\n
\
\n
\
\t
####################################################
\n
\
\t
# This controls jitter speed
\n
\
\t
sl = 0.025
\n
\
\t
# This controls the amount of position jitter
\n
\
\t
sp = 0.1
\n
\
\t
# This controls the amount of rotation jitter
\n
\
\t
sr = 0.25
\n
\
\t
####################################################
\n
\
\n
\
\t
time = Get('curtime')
\n
\
\t
ob = Scene.GetCurrent().getCurrentCamera()
\n
\
\t
ps = (sl*time, sl*time, sl*time)
\n
\
\t
# To add jitter only when the camera moves, use this next line instead
\n
\
\t
#ps = (sl*ob.LocX, sl*ob.LocY, sl*ob.LocZ)
\n
\
\t
rv = Noise.vTurbulence(ps, 3, 0, Noise.NoiseTypes.NEWPERLIN)
\n
\
\t
ob.dloc = (sp*rv[0], sp*rv[1], sp*rv[2])
\n
\
\t
ob.drot = (sr*rv[0], sr*rv[1], sr*rv[2])
\n
\
\n
"
;
/* Just in case, declarations for a header file */
/*
static PyObject *Noise_random(PyObject *self);
static PyObject *Noise_randuvec(PyObject *self);
static PyObject *Noise_setRandomSeed(PyObject *self, PyObject *args);
static PyObject *Noise_noise(PyObject *self, PyObject *args);
static PyObject *Noise_vNoise(PyObject *self, PyObject *args);
static PyObject *Noise_turbulence(PyObject *self, PyObject *args);
static PyObject *Noise_vTurbulence(PyObject *self, PyObject *args);
static PyObject *Noise_fBm(PyObject *self, PyObject *args);
static PyObject *Noise_multiFractal(PyObject *self, PyObject *args);
static PyObject *Noise_vlNoise(PyObject *self, PyObject *args);
static PyObject *Noise_heteroTerrain(PyObject *self, PyObject *args);
static PyObject *Noise_hybridMFractal(PyObject *self, PyObject *args);
static PyObject *Noise_ridgedMFractal(PyObject *self, PyObject *args);
static PyObject *Noise_voronoi(PyObject *self, PyObject *args);
static PyObject *Noise_cellNoise(PyObject *self, PyObject *args);
static PyObject *Noise_cellNoiseV(PyObject *self, PyObject *args);
*/
static
PyMethodDef
NoiseMethods
[]
=
{
{
"setRandomSeed"
,
(
PyCFunction
)
Noise_setRandomSeed
,
METH_VARARGS
,
setRandomSeed__doc__
},
{
"random"
,
(
PyCFunction
)
Noise_random
,
METH_NOARGS
,
random__doc__
},
{
"randuvec"
,
(
PyCFunction
)
Noise_randuvec
,
METH_NOARGS
,
randuvec__doc__
},
{
"noise"
,
(
PyCFunction
)
Noise_noise
,
METH_VARARGS
,
noise__doc__
},
{
"vNoise"
,
(
PyCFunction
)
Noise_vNoise
,
METH_VARARGS
,
vNoise__doc__
},
{
"turbulence"
,
(
PyCFunction
)
Noise_turbulence
,
METH_VARARGS
,
turbulence__doc__
},
{
"vTurbulence"
,
(
PyCFunction
)
Noise_vTurbulence
,
METH_VARARGS
,
vTurbulence__doc__
},
{
"fBm"
,
(
PyCFunction
)
Noise_fBm
,
METH_VARARGS
,
fBm__doc__
},
{
"multiFractal"
,
(
PyCFunction
)
Noise_multiFractal
,
METH_VARARGS
,
multiFractal__doc__
},
{
"vlNoise"
,
(
PyCFunction
)
Noise_vlNoise
,
METH_VARARGS
,
vlNoise__doc__
},
{
"heteroTerrain"
,
(
PyCFunction
)
Noise_heteroTerrain
,
METH_VARARGS
,
heteroTerrain__doc__
},
{
"hybridMFractal"
,
(
PyCFunction
)
Noise_hybridMFractal
,
METH_VARARGS
,
hybridMFractal__doc__
},
{
"ridgedMFractal"
,
(
PyCFunction
)
Noise_ridgedMFractal
,
METH_VARARGS
,
ridgedMFractal__doc__
},
{
"voronoi"
,
(
PyCFunction
)
Noise_voronoi
,
METH_VARARGS
,
voronoi__doc__
},
{
"cellNoise"
,
(
PyCFunction
)
Noise_cellNoise
,
METH_VARARGS
,
cellNoise__doc__
},
{
"cellNoiseV"
,
(
PyCFunction
)
Noise_cellNoiseV
,
METH_VARARGS
,
cellNoiseV__doc__
},
{
NULL
,
NULL
,
0
,
NULL
}
};
/*------------------------------------------------------------------------------------*/
PyObject
*
Noise_Init
()
{
PyObject
*
NoiseTypes
,
*
DistanceMetrics
,
*
md
=
Py_InitModule3
(
"Blender.Noise"
,
NoiseMethods
,
Noise__doc__
);
setRndSeed
(
0
);
/* use current time as seed for random number generator by default */
/* Constant noisetype dictionary */
NoiseTypes
=
M_constant_New
();
if
(
NoiseTypes
)
{
BPy_constant
*
nt
=
(
BPy_constant
*
)
NoiseTypes
;
constant_insert
(
nt
,
"BLENDER"
,
PyInt_FromLong
(
TEX_BLENDER
));
constant_insert
(
nt
,
"STDPERLIN"
,
PyInt_FromLong
(
TEX_STDPERLIN
));
constant_insert
(
nt
,
"NEWPERLIN"
,
PyInt_FromLong
(
TEX_NEWPERLIN
));
constant_insert
(
nt
,
"VORONOI_F1"
,
PyInt_FromLong
(
TEX_VORONOI_F1
));
constant_insert
(
nt
,
"VORONOI_F2"
,
PyInt_FromLong
(
TEX_VORONOI_F2
));
constant_insert
(
nt
,
"VORONOI_F3"
,
PyInt_FromLong
(
TEX_VORONOI_F3
));
constant_insert
(
nt
,
"VORONOI_F4"
,
PyInt_FromLong
(
TEX_VORONOI_F4
));
constant_insert
(
nt
,
"VORONOI_F2F1"
,
PyInt_FromLong
(
TEX_VORONOI_F2F1
));
constant_insert
(
nt
,
"VORONOI_CRACKLE"
,
PyInt_FromLong
(
TEX_VORONOI_CRACKLE
));
constant_insert
(
nt
,
"CELLNOISE"
,
PyInt_FromLong
(
TEX_CELLNOISE
));
PyModule_AddObject
(
md
,
"NoiseTypes"
,
NoiseTypes
);
}
/* Constant distance metric dictionary for voronoi */
DistanceMetrics
=
M_constant_New
();
if
(
DistanceMetrics
)
{
BPy_constant
*
dm
=
(
BPy_constant
*
)
DistanceMetrics
;
constant_insert
(
dm
,
"DISTANCE"
,
PyInt_FromLong
(
TEX_DISTANCE
));
constant_insert
(
dm
,
"DISTANCE_SQUARED"
,
PyInt_FromLong
(
TEX_DISTANCE_SQUARED
));
constant_insert
(
dm
,
"MAHATTAN"
,
PyInt_FromLong
(
TEX_MANHATTAN
));
constant_insert
(
dm
,
"CHEBYCHEV"
,
PyInt_FromLong
(
TEX_CHEBYCHEV
));
constant_insert
(
dm
,
"MINKOVSKY_HALF"
,
PyInt_FromLong
(
TEX_MINKOVSKY_HALF
));
constant_insert
(
dm
,
"MINKOVSKY_FOUR"
,
PyInt_FromLong
(
TEX_MINKOVSKY_FOUR
));
constant_insert
(
dm
,
"MINKOVSKY"
,
PyInt_FromLong
(
TEX_MINKOVSKY
));
PyModule_AddObject
(
md
,
"DistanceMetrics"
,
DistanceMetrics
);
}
return
md
;
}
This diff is collapsed.
Click to expand it.
Preview
0%
Loading
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Save comment
Cancel
Please
register
or
sign in
to comment