Beispiel #1
0
 def __set_pure_state__(self, state):
     self.volume_mapper_type = state['_volume_mapper_type']
     state_pickler.set_state(self, state, ignore=['ctf_state'])
     ctf_state = state['ctf_state']
     ctf, otf = load_ctfs(ctf_state, self._volume_property)
     self._ctf = ctf
     self._otf = otf
     self._update_ctf_fired()
Beispiel #2
0
 def __set_pure_state__(self, state):
     self.volume_mapper_type = state['_volume_mapper_type']
     state_pickler.set_state(self, state, ignore=['ctf_state'])
     ctf_state = state['ctf_state']
     ctf, otf = load_ctfs(ctf_state, self._volume_property)
     self._ctf = ctf
     self._otf = otf
     self._update_ctf_fired()
 def test_save_load_ctf(self):
     """Test saving and loading of a CTF."""
     # Create a default ctf, save it.
     data = save_ctfs(self.vp)
     # load it into another volume property,
     mvp = tvtk.VolumeProperty()
     ctf = load_ctfs(data, mvp)
     # get the data from the new one
     mdata = save_ctfs(mvp)
     # check that both the data are identical.
     self.assertEqual(mdata, data)
Beispiel #4
0
 def test_save_load_ctf(self):
     """Test saving and loading of a CTF."""
     # Create a default ctf, save it.
     data = save_ctfs(self.vp)
     # load it into another volume property,
     mvp = tvtk.VolumeProperty()
     ctf = load_ctfs(data, mvp)
     # get the data from the new one
     mdata = save_ctfs(mvp)
     # check that both the data are identical.
     self.assertEqual(mdata, data)
Beispiel #5
0
from mayavi import mlab
from tvtk.api import tvtk

(metal, gas) = readfile_metgas_boxes(sys.argv[1], region=[0,10000,0,10000,1000,1000000])
gas.z = gas.z - 2.11884
gscatt = mlab.pipeline.scalar_scatter(gas.x, gas.y, gas.z, gas.t)


#print "Temp gauss"
#mlab.title('Time [0{num:09d}]' .format(num=(750000+int(f[-13:-3])))).y_position=1
#mlab.title('Time [0{num:09d}]' .format(num=(int(f[-13:-3])))).y_position=1
filt = tvtk.GaussianSplatter()
filt.radius=0.01
filt.exponent_factor=-1.3
filt.scale_factor=1.760

tggauss_fog = mlab.pipeline.user_defined(gscatt, filter=filt)

print "Done"
tvol = mlab.pipeline.volume(tggauss_fog)

tvol._volume_property.shade=False
from tvtk.util.ctf import load_ctfs

#ctf.add_hsv_point(0.975528258148,0.0521448216801, 1.0, 1.0)
#ctfdic200 = {'alpha': [[0.0, 0.0], [2555.8166094521594, 0.019954483358229635]], 'range': (0.0, 62.545284288648858), 'rgb': [[0.0, 0.0, 0.0, 1.0], [62.545284288648858, 0.0, 0.31286893008046235, 1.0], [244.05876894980238, 0.0, 0.6180339887498951, 1.0], [526.77264942601448, 0.0, 0.9079809994790933, 1.0], [883.0129213128422, 0.0, 1.0, 0.7861513777574228], [1277.9083047260797, 0.0, 1.0, 0.0], [1672.8036881393173, 0.7861513777574234, 1.0, 0.0], [2029.043960026145, 1.0, 0.9079809994790935, 0.0], [2311.7578405023573, 1.0, 0.618033988749895, 0.0], [2493.2713251635109, 1.0, 0.31286893008046185, 0.0], [2555.8166094521594, 1.0, 0.0, 0.0]]}
#ctfdic273 = {'alpha': [[0.0, 0.0], [1829.0109806669739, 0.027883922261309858]], 'range': (0.0, 44.759084564129651), 'rgb': [[0.0, 0.0, 0.0, 1.0], [44.759084564129651, 0.0, 0.31286893008046235, 1.0], [174.65500720450189, 0.0, 0.6180339887498951, 1.0], [376.97264997496654, 0.0, 0.9079809994790933, 1.0], [631.90775237124535, 0.0, 1.0, 0.7861513777574228], [914.50549033348693, 0.0, 1.0, 0.0], [1197.1032282957285, 0.7861513777574234, 1.0, 0.0], [1452.0383306920073, 1.0, 0.9079809994790935, 0.0], [1654.3559734624721, 1.0, 0.618033988749895, 0.0], [1784.2518961028445, 1.0, 0.31286893008046185, 0.0], [1829.0109806669739, 1.0, 0.0, 0.0]]}
ctfdic346 = {'alpha': [[0.0, 0.0], [2412.1699408088612, 0.021142788962413825]], 'range': (0.0, 59.030000095649484), 'rgb': [[0.0, 0.0, 0.0, 1.0], [59.030000095649484, 0.0, 0.31286893008046235, 1.0], [230.34173268704083, 0.0, 0.6180339887498951, 1.0], [497.16601178910247, 0.0, 0.9079809994790933, 1.0], [833.38421788925609, 0.0, 1.0, 0.7861513777574228], [1206.0849704044306, 0.0, 1.0, 0.0], [1578.7857229196052, 0.7861513777574234, 1.0, 0.0], [1915.0039290197587, 1.0, 0.9079809994790935, 0.0], [2181.8282081218204, 1.0, 0.618033988749895, 0.0], [2353.1399407132121, 1.0, 0.31286893008046185, 0.0], [2412.1699408088612, 1.0, 0.0, 0.0]]}
load_ctfs(ctfdic346,tvol._volume_property)

mlab.show();