def __init__(self, parent=None, parent_sp=None, visible=True, cmap='gray'):
"""Init."""
CrossSectionsSplit.__init__(self, parent_sp)
self._visible_cs = visible
self._cmap_cs = cmap
#######################################################################
# TRANFORMATIONS
#######################################################################
# Translations :
self._tr_coron = vist.STTransform()
self._tr_sagit = vist.STTransform()
self._tr_axial = vist.STTransform()
# Rotations :
rot_m90x = vist.MatrixTransform(rotate(-90, [1, 0, 0]))
rot_180x = vist.MatrixTransform(rotate(180, [1, 0, 0]))
rot_90y = vist.MatrixTransform(rotate(90, [0, 1, 0]))
rot_m90y = vist.MatrixTransform(rotate(-90, [0, 1, 0]))
rot_m180y = vist.MatrixTransform(rotate(-180, [0, 1, 0]))
rot_90z = vist.MatrixTransform(rotate(90, [0, 0, 1]))
# Tranformations :
tf_sagit = [self._tr_sagit, rot_90z, rot_m90y, rot_m90x]
tf_coron = [self._tr_coron, rot_90z, rot_180x, rot_90y]
tf_axial = [self._tr_axial, rot_m180y, rot_90z]
#######################################################################
# ELEMENTS
#######################################################################
# Create a root node :
self._node_cs = scene.Node(name='Cross-Sections')
self._node_cs.parent = parent
self._node_cs.visible = visible
# Axial :
self.axial = ImageSection(parent=self._node_cs, name='Axial')
self.axial.transform = vist.ChainTransform(tf_axial)
# Coronal :
self.coron = ImageSection(parent=self._node_cs, name='Coronal')
self.coron.transform = vist.ChainTransform(tf_coron)
# Sagittal :
self.sagit = ImageSection(parent=self._node_cs, name='Sagittal')
self.sagit.transform = vist.ChainTransform(tf_sagit)
# Set GL state :
kwargs = {
'depth_test': True,
'cull_face': False,
'blend': False,
'blend_func': ('src_alpha', 'one_minus_src_alpha')
}
self.sagit.set_gl_state('translucent', **kwargs)
self.coron.set_gl_state('translucent', **kwargs)
self.axial.set_gl_state('translucent', **kwargs)
def __init__(self, name='indicator', alpha=.3, visible=True, parent=None):
# Create a vispy image object :
image = color2vb('gray', alpha=alpha)[np.newaxis, ...]
self.mesh = scene.visuals.Image(data=image, name=name,
parent=parent)
self.mesh.transform = vist.STTransform()
self.mesh.visible = visible
def __init__(
self,
hidden=False): # hidden=true useful for speed when creating video
self.canvas = scene.SceneCanvas(keys='interactive',
size=(1900, 1145),
show=not hidden,
config=dict(samples=4),
resizable=True,
always_on_top=True,
bgcolor='white',
vsync=True)
# Set up a viewbox to display the cube with interactive arcball
self.view = self.canvas.central_widget.add_view()
self.view.bgcolor = '#efefef'
self.view.camera = TurntableCamera(fov=60.0,
elevation=30.0,
azimuth=280.0)
# add a colored 3D axis for orientation
axis = scene.visuals.XYZAxis(parent=self.view.scene)
self.cfs = []
self.spheres = []
self.crumbs = []
self.markers = scene.visuals.Markers(parent=self.view.scene)
self.markers.transform = transforms.STTransform()
self.obstacles = []
def set_data(self,
tox=None,
width=None,
time=None,
unit='seconds',
markers=None):
"""Move the main square."""
# Get factor according to unit :
if unit == 'seconds':
fact = 1.
elif unit == 'minutes':
fact = 60.
elif unit == 'hours':
fact = 3660.
# Move the square
if (tox, width, time) != (None, None, None):
self.mesh.transform = vist.STTransform(translate=tox / fact,
scale=width / fact)
# Update camera :
self.wc.camera.rect = (0, 0, (time.max() - time.min()) / fact, 1)
# Set markers :
if markers is not None:
if markers.size:
pos = np.zeros((len(markers), 3), dtype=np.float32)
pos[:, 0] = markers / fact
pos[:, 1] = .5
pos[:, 2] = -10
else:
pos = np.full((1, 3), -10, dtype=np.float32)
self.markers.set_data(pos=pos,
symbol='triangle_down',
size=20.,
face_color='#42ab46',
edge_width=0.)
def _rescale(self):
height, width = self._data.shape[:2]
vscale = -2. / height
hscale = 2. / width
zdepth = -0.01 * self._order
transform = transforms.STTransform(scale=(hscale, vscale),
translate=(-1, 1, zdepth))
self.visual.transform = transform
def test_st_mapping():
p1 = [[5., 7.], [23., 8.]]
p2 = [[-1.3, -1.4], [1.1, 1.2]]
t = tr.STTransform()
t.set_mapping(p1, p2)
assert np.allclose(t.map(p1)[:, :len(p2)], p2)
def __init__(self, scale, coo):
self.obj = scene.visuals.Box(width=1, height=1, edge_color='black')
self.obj.transform = transforms.STTransform(translate=(0., 0., 0.),
scale=(scale, scale,
scale))
self.coo = coo
def __init__(self):
app.Canvas.__init__(self, keys='interactive')
self.size = (800, 800)
global pos
self.visuals = []
polygon = visuals.PolygonVisual(pos=pos,
color=(0.8, .2, 0, 1),
border_color=(1, 1, 1, 1))
polygon.transform = transforms.STTransform(scale=(200, 200),
translate=(600, 600))
self.visuals.append(polygon)
ellipse = visuals.EllipseVisual(pos=(0, 0, 0),
radius=(100, 100),
color=(0.2, 0.2, 0.8, 1),
border_color=(1, 1, 1, 1),
start_angle=180.,
span_angle=150.)
ellipse.transform = transforms.STTransform(scale=(0.9, 1.5),
translate=(200, 200))
self.visuals.append(ellipse)
rect = visuals.RectangleVisual(pos=(600, 200, 0),
height=200.,
width=300.,
radius=[30., 30., 0., 0.],
color=(0.5, 0.5, 0.2, 1),
border_color='white')
rect.transform = transforms.NullTransform()
self.visuals.append(rect)
rpolygon = visuals.RegularPolygonVisual(pos=(200., 600., 0),
radius=160,
color=(0.2, 0.8, 0.2, 1),
border_color=(1, 1, 1, 1),
sides=6)
rpolygon.transform = transforms.NullTransform()
self.visuals.append(rpolygon)
for v in self.visuals:
v.tr_sys = transforms.TransformSystem(self)
v.tr_sys.visual_to_document = v.transform
self.show()
self._timer = app.Timer('auto', connect=self.on_timer, start=True)
def __init__(self):
app.Canvas.__init__(self, keys='interactive', size=(800, 800))
global pos
self.visuals = []
polygon = visuals.PolygonVisual(pos=pos,
color=(0.8, .2, 0, 1),
border_color=(1, 1, 1, 1),
border_width=3)
polygon.transform = transforms.STTransform(scale=(200, 200),
translate=(600, 600))
self.visuals.append(polygon)
ellipse = visuals.EllipseVisual(center=(0, 0, 0),
radius=(100, 150),
color=(0.2, 0.2, 0.8, 1),
border_color=(1, 1, 1, 1),
border_width=3,
start_angle=180.,
span_angle=150.)
ellipse.transform = transforms.STTransform(scale=(0.9, 1.5),
translate=(200, 300))
self.visuals.append(ellipse)
rect = visuals.RectangleVisual(center=(600, 200, 0),
height=200.,
width=300.,
radius=[30., 30., 0., 0.],
color=(0.5, 0.5, 0.2, 1),
border_width=3,
border_color='white')
rect.transform = transforms.NullTransform()
self.visuals.append(rect)
rpolygon = visuals.RegularPolygonVisual(center=(200., 600., 0),
radius=160,
color=(0.2, 0.8, 0.2, 1),
border_color=(1, 1, 1, 1),
border_width=3,
sides=6)
rpolygon.transform = transforms.NullTransform()
self.visuals.append(rpolygon)
self.show()
def __init__(self,
name,
data,
xyz,
select=None,
line_width=1.5,
color='white',
ts_amp=6.,
ts_width=20.,
alpha=1.,
antialias=False,
translate=(0., 0., 1.),
transform=None,
parent=None,
verbose=None,
_z=-10.,
**kw):
"""Init."""
# Init Visbrain object base class :
VisbrainObject.__init__(self, name, parent, transform, verbose, **kw)
# _______________________ CHECKING _______________________
# Data :
assert isinstance(data, np.ndarray) and data.ndim == 2
self._n_nodes, self._n_pts = data.shape
self._data = data
# XYZ :
sh = xyz.shape
assert sh[1] in [2, 3]
xyz = xyz if sh[1] == 3 else np.c_[xyz, np.full((len(self), ), _z)]
self._xyz = xyz.astype(np.float32)
# Select :
select = np.arange(len(self)) if select is None else select
assert isinstance(select, (list, np.ndarray))
self._select = select
# Amplitude / width :
assert isinstance(ts_amp, float) and isinstance(ts_width, float)
self._ts_amp, self._ts_width = ts_amp, ts_width
# Translate :
assert len(translate) == 3
tr = vist.STTransform(translate=translate)
self._translate = translate
# Line width :
self._line_width = line_width
# Color :
self._color = color2vb(color, alpha=alpha)
self._alpha = alpha
# _______________________ LINE _______________________
self._ts = visuals.Line(name='TimeSeriesObjLine',
parent=self._node,
width=line_width,
color=self._color,
antialias=antialias)
self._ts.transform = tr
self._build_line()
def _define_transformation(self):
sh = self._sh
r90 = vist.MatrixTransform()
r90.rotate(90, (0, 0, 1))
rx180 = vist.MatrixTransform()
rx180.rotate(180, (1, 0, 0))
# Sagittal transformation :
norm_sagit = vist.STTransform(scale=(1. / sh[1], 1. / sh[2], 1.),
translate=(-1., 0., 0.))
tf_sagit = vist.ChainTransform([norm_sagit, r90, rx180])
self._im_sagit.transform = tf_sagit
# Coronal transformation :
norm_coron = vist.STTransform(scale=(1. / sh[0], 1. / sh[2], 1.),
translate=(0., 0., 0.))
tf_coron = vist.ChainTransform([norm_coron, r90, rx180])
self._im_coron.transform = tf_coron
# Axial transformation :
norm_axis = vist.STTransform(scale=(2. / sh[1], 2. / sh[0], 1.),
translate=(-1., 0., 0.))
tf_axial = vist.ChainTransform([norm_axis, rx180])
self._im_axial.transform = tf_axial
def __init__(self,
name,
data,
xyz,
select=None,
pic_width=7.,
pic_height=7.,
alpha=1.,
cmap='viridis',
clim=None,
vmin=None,
vmax=None,
under='gray',
over='red',
translate=(0., 0., 1.),
transform=None,
parent=None,
verbose=None,
_z=-10.,
**kw):
"""Init."""
VisbrainObject.__init__(self, name, parent, transform, verbose, **kw)
self._update_cbar_args(cmap, clim, vmin, vmax, under, over)
# _______________________ CHECKING _______________________
# Data :
assert isinstance(data, np.ndarray) and data.ndim == 3.
self._n_nodes = data.shape[0]
self._minmax = (data.min(), data.max())
# XYZ :
sh = xyz.shape
assert (sh[1] in [2, 3]) and (sh[0] == len(self))
xyz = xyz if sh[1] == 3 else np.c_[xyz, np.full((len(self), ), _z)]
self._xyz = xyz.astype(np.float32)
# Select :
assert (select is None) or isinstance(select, (list, np.ndarray))
# Width, height :
assert all(
[isinstance(k, (int, float)) for k in (pic_height, pic_width)])
self._pic_width, self._pic_height = pic_width, pic_height
# Translate :
assert len(translate) == 3
tr = vist.STTransform(translate=translate)
self._translate = translate
# Alpha :
assert isinstance(alpha, (int, float)) and (0. <= alpha <= 1.)
self._alpha = alpha
# _______________________ IMAGE _______________________
self._pic = PicMesh(data, xyz, pic_width, pic_height, translate,
select, **self.to_kwargs())
self._pic.transform = tr
self._pic.parent = self._node
def on_resize(self, event):
gloo.set_viewport(0, 0, *event.physical_size)
vp = (0, 0, self.physical_size[0], self.physical_size[1])
self.context.set_viewport(*vp)
for visual in self.visuals:
# TODO on Retina display, this needs to be 0.5, due to Hi-DPI, otherwise
# lines are not shown where expected
scale = 0.5
visual.transform = transforms.STTransform(scale=(vp[2] * scale,
vp[3] * scale,
1.))
visual.transforms.configure(canvas=self, viewport=vp)
def test_st_transform():
# Check that STTransform maps exactly like MatrixTransform
pts = np.random.normal(size=(10, 4))
scale = (1, 7.5, -4e-8)
translate = (1e6, 0.2, 0)
st = tr.STTransform(scale=scale, translate=translate)
at = tr.MatrixTransform()
at.scale(scale)
at.translate(translate)
assert np.allclose(st.map(pts), at.map(pts))
assert np.allclose(st.inverse.map(pts), at.inverse.map(pts))
def test_isocurve(ctx): ctx = VispyCtx(display_status=True) scale = 0.1 cx = np.arange(-100, 100, scale) data = np.meshgrid(cx, cx) ff = f(data) levels = [0, 10] image = Image(ff, parent=ctx.view.scene) # move image behind curves image.transform = transforms.STTransform(scale=(scale, scale), translate=(0, 0, 0.5)) color_lev = ['r', 'black'] curve = Isocurve(ff, levels=levels, color_lev=color_lev, parent=ctx.view.scene) curve.transform = transforms.STTransform(scale=(scale, scale)) # Set 2D camera ctx.view.camera = PanZoomCamera(aspect=1) # the camera will scale to the contents in the scene ctx.view.camera.set_range() ctx.run(cam=False) return ctx
def set_data(self, xlim, ylim):
"""Move the visual indicator.
Args:
xlim: tuple
A tuple of two float indicating where xlim start and xlim end.
ylim: tuple
A tuple of two floats indicating where ylim start and ylim end.
"""
tox = (xlim[0], ylim[0], -1.)
sc = (xlim[1] - xlim[0], ylim[1] - ylim[0], 1.)
# Move the square
self.mesh.transform = vist.STTransform(translate=tox, scale=sc)
def __init__(self,
name='scorwinindicator',
alpha=.75,
visible=True,
parent=None,
color='red',
barwidth=.20):
# width of the vertical bars
self.barwidth = barwidth
# Create two vispy image object for the start and end of window
# "Start mesh" : first vertical bar
image_start = color2vb(color, alpha=alpha)[np.newaxis, ...]
self.mesh_start = scene.visuals.Image(data=image_start,
name=name,
parent=parent)
self.mesh_start.transform = vist.STTransform()
self.mesh_start.visible = visible
# "End mesh" : second vertical bar
image_end = color2vb(color, alpha=alpha)[np.newaxis, ...]
self.mesh_end = scene.visuals.Image(data=image_end,
name=name,
parent=parent)
self.mesh_end.transform = vist.STTransform()
self.mesh_end.visible = visible
def __init__(self, camera, parent=None, fcn=None):
# Initialize PrepareData :
PrepareData.__init__(self, axis=0)
# Keep camera :
self._camera = camera
self._rect = (0., 0., 0., 0.)
self._fcn = fcn
# Time-frequency map
self.tf = TFmapsMesh(parent=parent)
# Spectrogram
self.mesh = scene.visuals.Image(np.zeros((2, 2)), parent=parent,
name='Fourier transform')
self.mesh.transform = vist.STTransform()
def __init__(self, parent=None):
"""Init."""
# Create two dictionaries (for coordinates and text) :
self._annotations = {}
self._annotations_txt = {}
# Create markers for annotations :
pos = np.random.rand(2, 3)
self._annot_mark = scene.visuals.Markers(pos=pos, parent=parent)
self._annot_mark.visible = False
# Create text for annotations :
self._annot_text = scene.visuals.Text(parent=parent,
anchor_x='left',
bold=True,
font_size=14.)
tr = (self._time.max() - self._time.min()) / 50.
self._annot_text.transform = vist.STTransform(translate=(tr, 0., 0.))
self._annot_text.visible = False
def get_st_transform(self, z, x, y):
"""
Return the STTransform for the current zoom, x, and y tile.
"""
bbox = mercantile.xy_bounds(x, y, z)
scale = (bbox.right - bbox.left) / 256
scale = scale, scale, 1
# place the tiles up high, so that everything will show up correctly
# TODO: figure out why setting z super high works! Not sure if it's
# expected behavior or just a detail of the current Vispy
# implementation. Seems like setting order would be a better way,
# but it doesn't work.
# If we ever switch to a different type of camera probably nothing
# will work.
translate = bbox.left, bbox.bottom, 9e5 - z
return transforms.STTransform(scale=scale, translate=translate)
def plot(self):
with open("./episode_1.pkl", "rb") as f:
self.data = pickle.load(f)
canvas = vispy.scene.SceneCanvas(keys="interactive",
show=True,
bgcolor="white")
view = canvas.central_widget.add_view()
self.idx = 0
colors = cm.get_cmap("tab10")(np.linspace(0.0, 1.0, 10))
self.color_id = colors[self.data["particle_ids"][0, self.idx, :, 1]]
self.data["flex_states"][:, :, :, [0, 1, 2]] = self.data[
"flex_states"][:, :, :, [0, 2, 1]]
pos = self.data["flex_states"][0, self.idx, :, :3]
self.scatter = visuals.Markers()
self.scatter.set_data(pos,
edge_color=None,
face_color=self.color_id,
size=5)
floor = visuals.Plane(width=5, height=5)
wall = visuals.Plane(width=5,
height=1,
direction="+x",
width_segments=4,
height_segments=10)
wall._mesh.color = "green"
view.add(wall)
wall.transform = transforms.STTransform(translate=(-2.5, 0.0, 0.5))
view.add(self.scatter)
view.add(floor)
view.camera = "turntable" # or try 'arcball'
# add a colored 3D axis for orientation
axis = visuals.XYZAxis(parent=view.scene)
self.reverse = False
timer = app.Timer(interval="1.1")
timer.connect(self.update)
timer.start(0.04)
vispy.app.run()
def text_plot(self):
"""Plot some text for each source.
The text is then translate to not cover the source. If no text is
detected, a empty text object is created.
"""
if self.stext is not None:
# Create text object :
self.stextmesh = visu.Text(text=self.stext, color=self.stextcolor,
font_size=self.stextsize, pos=self.xyz,
bold=True, name='SourcesText')
# Set text texture :
self.stextmesh.set_gl_state('translucent', depth_test=True)
# Apply a transformation to text elements to not cover sources :
self.stextmesh.transform = vist.STTransform(
translate=self.stextshift)
else:
self.stextmesh = visu.Text(name='NoneText')
def _fcn_textupdate(self):
"""Update text of each sources.
This method can be used to set text visible / hide, to translate the
text in order to not cover the source sphere and to change the color /
fontsize of each text. Finally, this method update the text according
to selected properties.
"""
# Text visible :
self.sources.stextmesh.visible = self.grpText.isChecked()
# Translate text (do not cover the source):
t = vist.STTransform(translate=list(
[self.x_text.value(),
self.y_text.value(),
self.z_text.value()]))
self.sources.stextmesh.transform = t
# Color and fontsize :
_, self.sources.stextcolor = textline2color(
str(self.q_stextcolor.text()))
self.sources.stextsize = self.q_stextsize.value()
# Update text :
self.sources.text_update()
def __init__(self,
axis=True,
x_label='',
name='',
bgcolor=(1., 1., 1.),
indic_color='darkred',
fcn=[]):
"""Init."""
# Create the main canvas :
self.canvas = scene.SceneCanvas(keys=None, bgcolor=bgcolor, show=False)
_ = [self.canvas.connect(k) for k in fcn] # noqa
# Create a grid :
grid = self.canvas.central_widget.add_grid(margin=0)
grid.spacing = 0
# Add x-axis :
self.xaxis = scene.AxisWidget(orientation='bottom', text_color='black')
if axis:
pad = grid.add_widget(row=0, col=0)
pad.width_max = 50
_col = int(axis)
grid.add_widget(self.xaxis, row=1, col=_col)
# Main plot :
self.wc = grid.add_view(row=0, col=_col, border_color='black')
# Add a square indicator :
image = color2vb(indic_color)[np.newaxis, ...]
self.mesh = scene.visuals.Image(image, name='Time indicator')
self.mesh.transform = vist.STTransform()
self.mesh.parent = self.wc.scene
# Add markers :
pos = np.full((1, 3), -10, dtype=np.float32)
self.markers = Markers(pos=pos, parent=self.wc.scene)
self.markers.set_gl_state('translucent')
def __init__(self, name, xyz, data=None, color='red', alpha=1.,
symbol='disc', radius_min=5., radius_max=10., edge_width=0.,
edge_color='black', system='mni', mask=None,
mask_color='gray', text=None, text_size=3.,
text_color='black', text_bold=False,
text_translate=(0., 2., 0.), visible=True, transform=None,
parent=None, verbose=None, _z=-10., **kw):
"""Init."""
VisbrainObject.__init__(self, name, parent, transform, verbose, **kw)
# _______________________ CHECKING _______________________
# XYZ :
sh = xyz.shape
assert sh[1] in [2, 3]
self._n_sources = sh[0]
pos = xyz if sh[1] == 3 else np.c_[xyz, np.full((len(self),), _z)]
# Radius min and max :
assert all([isinstance(k, (int, float)) for k in (
radius_min, radius_max)])
radius_max = max(radius_min, radius_max)
self._radius_min, self._radius_max = radius_min, radius_max
# Data :
if data is None:
data = np.ones((len(self),))
else:
data = np.asarray(data).ravel()
assert len(data) == len(self)
self._data = vispy_array(data)
# System :
pos = pos if system == 'mni' else tal2mni(pos)
self._xyz = vispy_array(pos)
# Color :
self._color = color
# Edges :
self._edge_color, self._edge_width = edge_color, edge_width
# Mask :
if mask is None:
mask = [False] * len(self)
self._mask = np.asarray(mask).ravel().astype(bool)
assert len(self._mask) == len(self)
self._mask_color = color2vb(mask_color)
# Text :
self._text_size = text_size
self._text_color = text_color
self._text_translate = text_translate
# _______________________ MARKERS _______________________
self._sources = visuals.Markers(pos=self._xyz, name='Markers',
edge_color=edge_color,
edge_width=edge_width,
symbol=symbol, parent=self._node)
# _______________________ TEXT _______________________
tvisible = text is None
self._text = [''] * len(self) if tvisible else text
self._text = np.array(self._text)
assert len(self._text) == len(self)
self._sources_text = visuals.Text(self._text, pos=self._xyz,
bold=text_bold, name='Text',
color=color2vb(text_color),
font_size=text_size,
parent=self._node)
self._sources_text.visible = not tvisible
tr = vist.STTransform(translate=text_translate)
self._sources_text.transform = tr
# _______________________ UPDATE _______________________
# Radius / color :
self.visible = visible
self._update_radius()
self._update_color()
self.alpha = alpha
def __init__(self, parent=None, **kwargs):
"""Init."""
# _____________________ INIT _____________________
self._n = 1000
self._ratio = 4 / 5
CbarBase.__init__(self, **kwargs)
# _____________________ CANVAS _____________________
if parent is None:
# Define a canvas :
self._canvas = scene.SceneCanvas(keys='interactive',
show=False,
resizable=True,
dpi=600,
bgcolor=self._bgcolor,
size=(300, 900))
self._wc = self._canvas.central_widget.add_view()
parent = self._wc.scene
# Define the camera :
self._camera = FixedCam(rect=(-1.2, -1.2, 2.4, 2.4))
self._wc.camera = self._camera
self.parent = parent
# _____________________ OBJECTS _____________________
# --------------------- Node ---------------------
# Define node parent and limit node :
self._cbNode = Node(name='Colorbar', parent=parent)
self._limNode = Node(name='Limits', parent=self._cbNode)
# Rescale between (-1., 1.) :
self._rsc = vist.STTransform(scale=(self._width, 2 / self._n, 1),
translate=(0, -1., 0))
# Set transformation to the node :
self._cbNode.transform = self._rsc
# --------------------- Image ---------------------
self._mImage = visuals.Image(parent=self._cbNode, name='image')
# --------------------- Border ---------------------
pos = np.array([[0., 0., -3.], [1., 0., -3.], [1., 0., -3.],
[1., self._n, -3.], [1., self._n, -3.],
[0., self._n, -3.], [0., self._n, -3.], [0., 0., -3.]])
self._mBorder = visuals.Line(parent=self._cbNode, name='Border')
self._mBorder.set_data(pos=pos,
width=2.,
connect='segments',
color=self._txtcolor)
self._mBorder.visible = self._border
# --------------------- Labels ---------------------
# Clim labels :
self._mClimM = visuals.Text(parent=self._limNode,
color=self._txtcolor,
font_size=self._txtsz,
name='Clim_M',
anchor_x='left')
self._mClimm = visuals.Text(parent=self._limNode,
color=self._txtcolor,
font_size=self._txtsz,
name='Clim_m',
anchor_x='left')
# Cblabel :
self._mcblabel = visuals.Text(parent=self._limNode,
name='Cblabel',
color=self._txtcolor,
anchor_x='center',
font_size=self._cbtxtsz)
self._mcblabel.rotation = -90
# Vmin/Vmax :
self._vmMNode = Node(name='VminVmax', parent=self._limNode)
self._mVm = visuals.Text(parent=self._vmMNode,
color=self._txtcolor,
font_size=self._ratio * self._txtsz,
name='Vmin',
anchor_x='left')
self._mVM = visuals.Text(parent=self._vmMNode,
color=self._txtcolor,
font_size=self._ratio * self._txtsz,
name='Vmax',
anchor_x='left')
# Build colorbar :
self._build(True, 'all')
def test_transform_chain():
# Make dummy classes for easier distinguishing the transforms
class DummyTrans(tr.BaseTransform):
glsl_map = "vec4 trans(vec4 pos) {return pos;}"
glsl_imap = "vec4 trans(vec4 pos) {return pos;}"
class TransA(DummyTrans):
pass
class TransB(DummyTrans):
pass
class TransC(DummyTrans):
pass
# Create test transforms
a, b, c = TransA(), TransB(), TransC()
# Test Chain creation
assert tr.ChainTransform().transforms == []
assert tr.ChainTransform(a).transforms == [a]
assert tr.ChainTransform(a, b).transforms == [a, b]
assert tr.ChainTransform(a, b, c, a).transforms == [a, b, c, a]
# Test composition by multiplication
assert_chain_objects(a * b, tr.ChainTransform(a, b))
assert_chain_objects(a * b * c, tr.ChainTransform(a, b, c))
assert_chain_objects(a * b * c * a, tr.ChainTransform(a, b, c, a))
# Test adding/prepending to transform
chain = tr.ChainTransform()
chain.append(a)
assert chain.transforms == [a]
chain.append(b)
assert chain.transforms == [a, b]
chain.append(c)
assert chain.transforms == [a, b, c]
chain.prepend(b)
assert chain.transforms == [b, a, b, c]
chain.prepend(c)
assert chain.transforms == [c, b, a, b, c]
# Test simplifying
t1 = tr.STTransform(scale=(2, 3))
t2 = tr.STTransform(translate=(3, 4))
t3 = tr.STTransform(translate=(3, 4))
# Create multiplied versions
t123 = t1 * t2 * t3
t321 = t3 * t2 * t1
c123 = tr.ChainTransform(t1, t2, t3)
c321 = tr.ChainTransform(t3, t2, t1)
c123s = c123.simplified
c321s = c321.simplified
#
assert isinstance(t123, tr.STTransform) # or the test is useless
assert isinstance(t321, tr.STTransform) # or the test is useless
assert isinstance(c123s, tr.ChainTransform) # or the test is useless
assert isinstance(c321s, tr.ChainTransform) # or the test is useless
# Test Mapping
t1 = tr.STTransform(scale=(2, 3))
t2 = tr.STTransform(translate=(3, 4))
chain1 = tr.ChainTransform(t1, t2)
chain2 = tr.ChainTransform(t2, t1)
#
assert chain1.transforms == [t1, t2] # or the test is useless
assert chain2.transforms == [t2, t1] # or the test is useless
#
m12 = (t1 * t2).map((1, 1)).tolist()
m21 = (t2 * t1).map((1, 1)).tolist()
m12_ = chain1.map((1, 1)).tolist()
m21_ = chain2.map((1, 1)).tolist()
#
#print(m12, m21, m12_, m21_)
assert m12 != m21
assert m12 == m12_
assert m21 == m21_
# Test shader map
t1 = tr.STTransform(scale=(2, 3))
t2 = tr.STTransform(translate=(3, 4))
chain = tr.ChainTransform(t1, t2)
#
funcs = chain.shader_map().dependencies()
funcsi = chain.shader_imap().dependencies()
#
assert t1.shader_map() in funcs
assert t2.shader_map() in funcs
assert t1.shader_imap() in funcsi
assert t2.shader_imap() in funcsi
def set_data(self,
data,
levels=None,
level_colors='white',
cmap='viridis',
clim=None,
vmin=None,
under='gray',
vmax=None,
over='red',
cblabel=None):
"""Set data to the topoplot.
Parameters
----------
data : array_like
Array of data of shape (n_channels)
levels : array_like/int | None
The levels at which the isocurve is constructed.
level_colors : string/array_like | 'white'
The color to use when drawing the line. If a list is given, it
must be of shape (Nlev), if an array is given, it must be of
shape (Nlev, ...). and provide one color per level
(rgba, colorname). By default, all levels are whites.
cmap : string | None
Matplotlib colormap (like 'viridis', 'inferno'...).
clim : tuple/list | None
Colorbar limit. Every values under / over clim will
clip.
vmin : float | None
Every values under vmin will have the color defined
using the under parameter.
vmax : float | None
Every values over vmin will have the color defined
using the over parameter.
under : tuple/string | None
Matplotlib color under vmin.
over : tuple/string | None
Matplotlib color over vmax.
cblabel : string | None
Colorbar label.
"""
# ================== XYZ / CHANNELS / DATA ==================
xyz = self._xyz[self._keeponly]
channels = list(np.array(self._channels)[self._keeponly])
data = np.asarray(data, dtype=float).ravel()
if len(data) == len(self):
data = data[self._keeponly]
# =================== CHANNELS ===================
# Markers :
radius = normalize(data, 10., 30.)
self.chanMarkers.set_data(pos=xyz,
size=radius,
edge_color='black',
face_color=self._chan_mark_color,
symbol=self._chan_mark_symbol)
# Names :
if channels is not None:
self.chanText.text = channels
self.chanText.pos = xyz
# =================== GRID ===================
pos_x, pos_y = xyz[:, 0], xyz[:, 1]
xmin, xmax = pos_x.min(), pos_x.max()
ymin, ymax = pos_y.min(), pos_y.max()
xi = np.linspace(xmin, xmax, self._pix)
yi = np.linspace(ymin, ymax, self._pix)
xh, yi = np.meshgrid(xi, yi)
grid = self._griddata(pos_x, pos_y, data, xh, yi)
# =================== INTERPOLATION ===================
if self._interp is not None:
grid = self._grid_interpolation(grid)
csize = max(self._pix, grid.shape[0])
# Variables :
l = csize / 2 # noqa
y, x = np.ogrid[-l:l, -l:l]
mask = x**2 + y**2 < l**2
nmask = np.invert(mask)
# =================== DISC ===================
# Force min < off-disc values < max :
grid[nmask] = data.mean()
grid = normalize(grid, data.min(), data.max())
clim = (data.min(), data.max()) if clim is None else clim
image = array2colormap(grid,
cmap=cmap,
clim=clim,
vmin=vmin,
vmax=vmax,
under=under,
over=over)
image[nmask] = self._bgcolor
self.disc.set_data(image)
# =================== COLORBAR ===================
if hasattr(self, 'cbar'):
self.cbar.clim = clim
self.cbar.cmap = cmap
self.cbar.isvmin = vmin is not None
self.cbar.vmin = vmin
self.cbar.under = under
self.cbar.isvmax = vmax is not None
self.cbar.vmax = vmax
self.cbar.over = over
self.cbar.cblabel = cblabel
# =================== LEVELS ===================
if levels is not None:
if isinstance(levels, int):
levels = np.linspace(grid.min(), grid.max(), levels)
if isinstance(level_colors, str):
# Get colormaps :
cmaps = mpl_cmap(bool(level_colors.find('_r') + 1))
if level_colors in cmaps:
level_colors = array2colormap(levels, cmap=level_colors)
grid[nmask] = np.inf
self.iso = visuals.Isocurve(data=grid,
parent=self.node_head,
levels=levels,
color_lev=level_colors,
width=2.)
self.iso.transform = vist.STTransform(translate=(0., 0., -5.))
def __init__(self, canvas, **kwargs):
"""Init."""
# Create a root node :
self._vbNode = scene.Node(name='Engram')
self._vbNode.transform = vist.STTransform(scale=[self._gl_scale] * 3)
logger.debug("Engram rescaled " + str([self._gl_scale] * 3))
PROFILER("Root node", level=1)
# ========================= SOURCES =========================
self.sources = CombineSources(kwargs.get('source_obj', None))
if self.sources.name is None:
self._obj_type_lst.model().item(4).setEnabled(False)
# Disable menu :
self.menuDispSources.setChecked(False)
self.menuTransform.setEnabled(False)
self.sources.parent = self._vbNode
PROFILER("Sources object", level=1)
# ========================= CONNECTIVITY =========================
self.connect = CombineConnect(kwargs.get('connect_obj', None))
if self.connect.name is None:
self._obj_type_lst.model().item(5).setEnabled(False)
self.menuDispConnect.setEnabled(False)
self.connect.parent = self._vbNode
PROFILER("Connect object", level=1)
# ========================= TIME-SERIES =========================
self.tseries = CombineTimeSeries(kwargs.get('time_series_obj', None))
if self.tseries.name is None:
self._obj_type_lst.model().item(6).setEnabled(False)
self.tseries.parent = self._vbNode
PROFILER("Time-series object", level=1)
# ========================= PICTURES =========================
self.pic = CombinePictures(kwargs.get('picture_obj', None))
if self.pic.name is None:
self._obj_type_lst.model().item(7).setEnabled(False)
self.pic.parent = self._vbNode
PROFILER("Pictures object", level=1)
# ========================= VECTORS =========================
self.vectors = CombineVectors(kwargs.get('vector_obj', None))
if self.vectors.name is None:
self._obj_type_lst.model().item(8).setEnabled(False)
self.vectors.parent = self._vbNode
PROFILER("Vectors object", level=1)
# ========================= VOLUME =========================
# ----------------- Volume -----------------
if kwargs.get('vol_obj', None) is None:
self.volume = VolumeObj('brodmann')
self.volume.visible_obj = False
else:
self.volume = kwargs.get('vol_obj')
if self.volume.name not in self.volume.list():
self.volume.save(tmpfile=True)
self.volume.parent = self._vbNode
PROFILER("Volume object", level=1)
# ----------------- ROI -----------------
if kwargs.get('roi_obj', None) is None:
self.roi = RoiObj('brodmann')
self.roi.visible_obj = False
else:
self.roi = kwargs.get('roi_obj')
if self.roi.name not in self.roi.list():
self.roi.save(tmpfile=True)
self.roi.parent = self._vbNode
PROFILER("ROI object", level=1)
# ----------------- Cross-sections -----------------
if kwargs.get('cross_sec_obj', None) is None:
self.cross_sec = CrossSecObj('brodmann')
else:
self.cross_sec = kwargs.get('cross_sec_obj')
if self.cross_sec.name not in self.cross_sec.list():
self.cross_sec.save(tmpfile=True)
self.cross_sec.visible_obj = False
self.cross_sec.text_size = 2.
self.cross_sec.parent = self._csView.wc.scene
self._csView.camera = self.cross_sec._get_camera()
self.cross_sec.set_shortcuts_to_canvas(self._csView)
PROFILER("Cross-sections object", level=1)
# ========================= ENGRAM =========================
if kwargs.get('engram_obj', None) is None:
self.atlas = BrainObj('B1')
else:
self.atlas = kwargs['engram_obj']
if self.atlas.name not in self.atlas.list():
self.atlas.save(tmpfile=True)
self.atlas.scale = self._gl_scale
self.atlas.parent = self._vbNode
PROFILER("Engram object", level=1)
def __init__(self,
xyz=None,
channels=None,
system='cartesian',
unit='degree',
title=None,
title_color='black',
title_size=20.,
line_color='black',
line_width=4.,
chan_size=12.,
chan_offset=(0., 0., 0.),
chan_mark_color='white',
chan_mark_symbol='disc',
chan_txt_color='black',
bgcolor='white',
cbar=True,
cb_txt_size=10.,
margin=.05,
parent=None):
"""Init."""
# ======================== VARIABLES ========================
self._bgcolor = color2vb(bgcolor)
scale = 800. # fix GL bugs for small plots
pos = np.zeros((1, 3), dtype=np.float32)
# Colors :
title_color = color2vb(title_color)
line_color = color2vb(line_color)
chan_txt_color = color2vb(chan_txt_color)
self._chan_mark_color = color2vb(chan_mark_color)
self._chan_mark_symbol = chan_mark_symbol
# Disc interpolation :
self._interp = .1
self._pix = 64
csize = int(self._pix / self._interp) if self._interp else self._pix
l = csize / 2 # noqa
# ======================== NODES ========================
# Main topoplot node :
self.node = scene.Node(name='Topoplot', parent=parent)
self.node.transform = vist.STTransform(scale=[scale] * 3)
# Headset + channels :
self.node_headfull = scene.Node(name='HeadChan', parent=self.node)
# Headset node :
self.node_head = scene.Node(name='Headset', parent=self.node_headfull)
# Channel node :
self.node_chan = scene.Node(name='Channels', parent=self.node_headfull)
self.node_chan.transform = vist.STTransform(translate=(0., 0., -10.))
# Cbar node :
self.node_cbar = scene.Node(name='Channels', parent=self.node)
# Dictionaries :
kw_line = {
'width': line_width,
'color': line_color,
'parent': self.node_head
}
# ======================== PARENT VISUALS ========================
# Main disc :
self.disc = visuals.Image(pos=pos,
name='Disc',
parent=self.node_head,
interpolation='bilinear')
# Title :
self.title = visuals.Text(text=title,
pos=(0., .6, 0.),
name='Title',
parent=self.node,
font_size=title_size,
color=title_color,
bold=True)
self.title.font_size *= 1.1
# ======================== HEAD / NOSE / EAR ========================
# ------------------ HEAD ------------------
# Head visual :
self.head = visuals.Line(pos=pos, name='Head', **kw_line)
# Head circle :
theta = np.arange(0, 2 * np.pi, 0.001)
head = np.full((len(theta), 3), -1., dtype=np.float32)
head[:, 0] = l * (1. + np.cos(theta))
head[:, 1] = l * (1. + np.sin(theta))
self.head.set_data(pos=head)
# ------------------ NOSE ------------------
# Nose visual :
self.nose = visuals.Line(pos=pos, name='Nose', **kw_line)
# Nose data :
wn, hn = csize * 50. / 512., csize * 30. / 512.
nose = np.array([[l - wn, 2 * l - wn, 2.], [l, 2 * l + hn, 2.],
[l, 2 * l + hn, 2.], [l + wn, 2 * l - wn, 2.]])
self.nose.set_data(pos=nose, connect='segments')
# ------------------ EAR ------------------
we, he = csize * 10. / 512., csize * 30. / 512.
ye = l + he * np.sin(theta)
# Ear left data :
self.earL = visuals.Line(pos=pos, name='EarLeft', **kw_line)
# Ear left visual :
ear_l = np.full((len(theta), 3), 3., dtype=np.float32)
ear_l[:, 0] = 2 * l + we * np.cos(theta)
ear_l[:, 1] = ye
self.earL.set_data(pos=ear_l)
# Ear right visual :
self.earR = visuals.Line(pos=pos, name='EarRight', **kw_line)
# Ear right data :
ear_r = np.full((len(theta), 3), 3., dtype=np.float32)
ear_r[:, 0] = 0. + we * np.cos(theta)
ear_r[:, 1] = ye
self.earR.set_data(pos=ear_r)
# ================== CHANNELS ==================
# Channel's markers :
self.chanMarkers = visuals.Markers(pos=pos,
name='ChanMarkers',
parent=self.node_chan)
# Channel's text :
self.chanText = visuals.Text(pos=pos,
name='ChanText',
parent=self.node_chan,
anchor_x='center',
color=chan_txt_color,
font_size=chan_size)
# ================== CAMERA ==================
self.rect = ((-scale / 2) * (1 + margin), (-scale / 2) * (1 + margin),
scale * (1. + cbar * .3 + margin),
scale * (1.11 + margin))
# ================== CBAR ==================
if cbar:
self.cbar = CbarVisual(cbtxtsz=1.2 * cb_txt_size,
txtsz=cb_txt_size,
txtcolor=title_color,
cbtxtsh=2.,
parent=self.node_cbar)
self.node_cbar.transform = vist.STTransform(scale=(.6, .4, 1.),
translate=(.6, 0., 0.))
# ================== COORDINATES ==================
auto = self._get_channel_coordinates(xyz, channels, system, unit)
if auto:
eucl = np.sqrt(self._xyz[:, 0]**2 + self._xyz[:, 1]**2).max()
self.node_head.transform = vpnormalize(head, dist=2 * eucl)
# Rescale between (-1:1, -1:1) = circle :
circle = vist.STTransform(scale=(.5 / eucl, .5 / eucl, 1.))
self.node_headfull.transform = circle
# Text translation :
tr = np.array([0., .8, 0.]) + np.array(chan_offset)
else:
# Get coordinates of references along the x and y-axis :
ref_x, ref_y = self._get_ref_coordinates()
# Recenter the topoplot :
t = vist.ChainTransform()
t.prepend(vprecenter(head))
# Rescale (-ref_x:ref_x, -ref_y:ref_y) (ref_x != ref_y => ellipse)
coef_x = 2 * ref_x / head[:, 0].max()
coef_y = 2 * ref_y / head[:, 1].max()
t.prepend(vist.STTransform(scale=(coef_x, coef_y, 1.)))
self.node_head.transform = t
# Rescale between (-1:1, -1:1) = circle :
circle = vist.STTransform(scale=(.5 / ref_x, .5 / ref_y, 1.))
self.node_headfull.transform = circle
# Text translation :
tr = np.array([0., .04, 0.]) + np.array(chan_offset)
self.chanText.transform = vist.STTransform(translate=tr)
# ================== GRID INTERPOLATION ==================
# Interpolation vectors :
x = y = np.arange(0, self._pix, 1)
xnew = ynew = np.arange(0, self._pix, self._interp)
# Grid interpolation function :
def _grid_interpolation(grid):
f = interp2d(x, y, grid, kind='linear')
return f(xnew, ynew)
self._grid_interpolation = _grid_interpolation
