Note
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Keyframe animation#
Tutorial on making keyframe-based animation in FURY using custom functions.
import numpy as np
from fury import actor, window
from fury.animation import Animation
scene = window.Scene()
showm = window.ShowManager(
scene, size=(900, 768), reset_camera=False, order_transparent=True
)
cube = actor.cube(np.array([[0, 0, 0]]), (0, 0, 0), (1, 0, 1), scales=6)
Creating an Animation
to animate the actor and show its motion path.
anim = Animation(length=2 * np.pi, loop=True, motion_path_res=200)
Adding the sphere actor to the timeline This could’ve been done during initialization.
anim.add_actor(cube)
Creating time dependent functions.
def pos_eval(t):
return np.array([np.sin(t), np.cos(t) * np.sin(t), 0]) * 15
def color_eval(t):
return (
np.array([np.sin(t), np.sin(t - 2 * np.pi / 3), np.sin(t + np.pi / 3)])
+ np.ones(3)
) / 2
def rotation_eval(t):
return np.array([np.sin(t) * 360, np.cos(t) * 360, 0])
def scale_eval(t):
return (
np.array([np.sin(t), np.sin(t - 2 * np.pi / 3), np.sin(t + np.pi / 3)])
+ np.ones(3) * 2
) / 5
Setting evaluator functions is the same as setting interpolators, but with one extra argument: is_evaluator=True since these functions does not need keyframes as input.
anim.set_position_interpolator(pos_eval, is_evaluator=True)
anim.set_rotation_interpolator(rotation_eval, is_evaluator=True)
anim.set_color_interpolator(color_eval, is_evaluator=True)
anim.set_interpolator('scale', scale_eval, is_evaluator=True)
changing camera position to observe the animation better.
scene.set_camera(position=(0, 0, 90))
Adding the animation to the show manager.
showm.add_animation(anim)
interactive = False
if interactive:
showm.start()
window.record(scene, out_path='viz_keyframe_animation_evaluators.png', size=(900, 768))

Total running time of the script: ( 0 minutes 0.132 seconds)