Example #1
0
def plot(image):
    # ax = vv.gca()
    # ms = vv.Mesh(ax)
    logging.warning([image.shape, image.spacing])
    vol = image[:, :, :, 0]
    logging.warning([vol.min(), vol.max()])
    vol = util.normalize(vol, 'ADCm')
    logging.warning([vol.min(), vol.max()])
    vol = vv.Aarray(vol, image.spacing)

    cmap = None
    # cmap = vv.CM_VIRIDIS
    render_style = 'mip'
    # render_style = 'iso'
    # render_style = 'ray'
    # render_style = 'edgeray'
    # render_style = 'litray'

    vv.figure()
    vv.xlabel('x axis')
    vv.ylabel('y axis')
    vv.zlabel('z axis')

    a1 = vv.subplot(111)
    t1 = vv.volshow(vol, cm=cmap, renderStyle=render_style)
    t1.isoThreshold = 0.7
    vv.title(render_style)

    # a1.camera = a2.camera = a3.camera
    vv.ColormapEditor(a1)
Example #2
0
def visVol(volData):
    """ This example demonstrates rendering a color volume.
    We demonstrate two renderers capable of rendering color data:
    the colormip and coloriso renderer.
    """

    import visvis as vv

    app = vv.use()

    # Load volume
    vol = volData

    # set labels
    vv.xlabel("x axis")
    vv.ylabel("y axis")
    vv.zlabel("z axis")

    #    # Create figure and make subplots with different renderers
    #    vv.figure(1); vv.clf()
    #    RS = ['mip', 'iso', 'edgeray', 'ray', 'litray']
    #    a0 = None
    #    tt = []
    #    for i in range(5):
    #        a = vv.subplot(3,2,i+2)
    #        t = vv.volshow(vol)
    #        vv.title('Renderstyle ' + RS[i])
    #        t.colormap = vv.CM_HOT
    #        t.renderStyle = RS[i]
    #        t.isoThreshold = 200  # Only used in iso render style
    #        tt.append(t)
    #        if a0 is None:
    #            a0 = a
    #        else:
    #            a.camera = a0.camera
    t = vv.volshow(vol, renderStyle="edgeray")
    t.colormap = vv.CM_HOT

    # Get axes and set camera to orthographic mode (with a field of view of 70)
    a = vv.gca()
    a.camera.fov = 45

    # Create colormap editor wibject.
    vv.ColormapEditor(a)

    # Create colormap editor in first axes
    # cme = vv.ColormapEditor(vv.gcf(), t)

    # Run app
    # app.Create()
    app.Run()
    def show_vox(self, vfunc):
        """
        Displays a 3-D rendering of a voxelized property.
        :param vfunc: function accepting this MasonView instance and
            returning a 3-D np.array of some voxelized property
        """
        app = vv.use()
        vv.figure(1)
        vv.xlabel('Eastings (units)')
        vv.ylabel('Northings (units)')
        vv.zlabel('Depth (units)')
        a = vv.gca()
        a.camera.fov = 70
        a.daspect = 1, 1, -1
        vox = vfunc(self)
        t = vv.volshow(vox, cm=vv.CM_JET, renderStyle='ray')

        vv.ColormapEditor(a)
        app.Run()
    def show_layer_boundaries(self, sample):
        """
        Displays a 3-D rendering of boundary surfaces.
        :param sample: index of sample for which to plot boundaries
        """
        app = vv.use()
        vv.figure(1)
        X = np.linspace(self.xbounds[0], self.xbounds[1], self.xres)
        Y = np.linspace(self.ybounds[0], self.xbounds[1], self.yres)
        Z = np.linspace(self.zbounds[0], self.xbounds[1], self.zres)
        vv.xlabel('Eastings (m)')
        vv.ylabel('Northings (m)')
        vv.zlabel('Depth (m)')
        a = vv.gca()
        a.camera.fov = 70
        a.daspect = 1, 1, -1
        for i in range(len(self.layers)):
            C = plt.cm.jet(i / float(len(self.layers)))
            C = np.array([[[C[0], C[1], C[2]]]])
            m = vv.surf(X, Y, self.fbounds[i][sample], C)

        vv.ColormapEditor(a)
        app.Run()
Example #5
0
import visvis as vv
import numpy as np
app = vv.use()
vv.clf()

# create volume
vol = vv.aVolume(size=64)

# set labels
vv.xlabel('x axis')
vv.ylabel('y axis')
vv.zlabel('z axis')

# show
t = vv.volshow(vol, renderStyle='mip')
# try the differtent render styles, for examample
# "t.renderStyle='iso'" or "t.renderStyle='ray'"
# If the drawing hangs, your video drived decided to render in software mode.
# This is unfortunately (as far as I know) not possible to detect.
# It might help if your data is shaped a power of 2.

# Get axes and set camera to orthographic mode (with a field of view of 70)
a = vv.gca()
a.camera.fov = 45

# Create colormap editor wibject.
vv.ColormapEditor(a)

# Start app
app.Run()
Example #6
0
app = vv.use()

# Load volume
vol = vv.volread('stent')

# Create figure and make subplots with different renderers
vv.figure(1)
vv.clf()
RS = ['mip', 'iso', 'edgeray', 'ray', 'litray']
a0 = None
tt = []
for i in range(5):
    a = vv.subplot(3, 2, i + 2)
    t = vv.volshow(vol)
    vv.title('Renderstyle ' + RS[i])
    t.colormap = vv.CM_HOT
    t.renderStyle = RS[i]
    t.isoThreshold = 200  # Only used in iso render style
    tt.append(t)
    if a0 is None:
        a0 = a
    else:
        a.camera = a0.camera

# Create colormap editor in first axes
cme = vv.ColormapEditor(vv.gcf(), *tt[3:])

# Run app
app.Create()
app.Run()
Example #7
0
                    for deform in deforms_forward]  # get backward mapping

# Start vis
f = vv.figure(nr)
vv.clf()
if nr == 1:
    f.position = 8.00, 30.00, 667.00, 690.00
else:
    f.position = 691.00, 30.00, 667.00, 690.00
a = vv.gca()
a.axis.axisColor = 1, 1, 1
a.axis.visible = False
a.bgcolor = 0, 0, 0
a.daspect = 1, 1, -1
vv.title('Model for LSPEAS %s  -  %s' % (ptcode[7:], ctcode))
vv.ColormapEditor(vv.gcf())

# Setup motion container
dt = DeformableTexture3D(a, vol)
dt.clim = 0, 3000
dt.isoThreshold = 300
dt.renderStyle = 'iso'  # iso or mip work well
dt.SetDeforms(*[list(reversed(deform)) for deform in deforms_backward])
dt.colormap = {
    'g': [(0.0, 0.0), (0.33636364, 1.0)],
    'b': [(0.0, 0.0), (0.49545455, 1.0)],
    'a': [(0.0, 1.0), (1.0, 1.0)],
    'r': [(0.0, 0.0), (0.22272727, 1.0)]
}

# Set limits and play!