def __init__(self, arr, scale=[1.0, 1.0, 1.0], **traits):
"""
Parameters
----------
- arr : Array to be viewed.
- scale : Scale the x, y and z axis as per passed values.
Defaults to [1.0, 1.0, 1.0].
"""
super(ImShow, self).__init__(**traits)
assert len(arr.shape) == 2, "Only 2D arrays can be viewed!"
ny, nx = arr.shape
dx, dy, junk = numpy.array(scale) * 1.0
xa = numpy.arange(0, nx * scale[0] - 0.1 * dx, dx, 'f')
ya = numpy.arange(0, ny * scale[1] - 0.1 * dy, dy, 'f')
arr_flat = numpy.ravel(arr)
min_val = min(arr_flat)
max_val = max(arr_flat)
sp = _create_structured_points_direct(xa, ya)
lut = self.lut
lut.table_range = min_val, max_val
a = lut.map_scalars(arr_flat, 0, 0)
sp.point_data.scalars = a
sp.point_data.scalars.name = 'scalars'
sp.scalar_type = 'unsigned_char'
sp.number_of_scalar_components = 4
ia = tvtk.ImageActor(input=sp, interpolate=self.interpolate)
self.actors.append(ia)
def show_img(img, renderer=renderer):
img_data = tvtk.ImageData(spacing=(1, 1, 1), origin=(0, 0, 0))
img_data.point_data.scalars, img_data.dimensions = vtkimage_from_array(img)
img_actor = tvtk.ImageActor()
img_actor.set_input_data(img_data)
img_actor.rotate_wxyz(45, 1, 0, 0)
renderer.add_actor(img_actor)
return img_actor
def frame_to_actor(frame, width, height, b=5):
# Dimensions with borders.
w, h = width+2*b, height+2*b
# Initialize array.
data = np.zeros((w, h, 4))
if frame is None:
data[:,:,-1] = 255
data[b:-b,b:-b,-1] = 0
else:
data[b:-b,b:-b,:3] = frame
data[:,:,-1] = 255
data = np.transpose(data, (1,0,2))
colors = np.reshape(data, (w*h,4))
# Create actor.
image = tvtk.ImageData()
image.point_data.scalars=tvtk.UnsignedCharArray()
image.point_data.scalars.from_array(colors)
image.dimensions = np.array((w, h, 1))
actor = tvtk.ImageActor()
configure_input(actor, image)
return actor
def __init__(self, height, width):
self.img_data = tvtk.ImageData(spacing=(1, 1, 1))
img = np.zeros((height, width, 3), dtype=np.uint8)
self.update_img(img)
self.img_actor = tvtk.ImageActor(input=self.img_data)
def setup_pipeline(self):
self.actor = tvtk.ImageActor()
import numpy as np from tvtk.api import tvtk colors = np.random.randint(256, size=(100, 3)) an_image = tvtk.ImageData() an_image.number_of_scalar_components = 3 # an_image.scalar_type='unsigned_char' an_image.point_data.scalars = tvtk.UnsignedCharArray() an_image.point_data.scalars.from_array(colors) an_image.dimensions = np.array((10, 10, 1)) an_actor = tvtk.ImageActor() an_actor.input = an_image an_actor.interpolate = False ren = tvtk.Renderer() renWin = tvtk.RenderWindow() renWin.add_renderer(ren) ren.add_actor2d(an_actor) iren = tvtk.RenderWindowInteractor() iren.render_window = renWin iren.interactor_style = tvtk.InteractorStyleTrackballCamera() renWin.render() iren.start()
