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K3D-tools / K3D-jupyter

K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.
MIT License
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Widget crashes when updating voxels multiple times #456

Open ankardon opened 2 weeks ago

ankardon commented 2 weeks ago

Note (please remove it):

Description

Changing the voxels for a voxel plot repeatedly keeps increasing gpu memory usage. After a few iterations (~30), the webview crashes.

What I Did

import k3d
import time
from k3d import matplotlib_color_maps

plot = k3d.plot(axes=["","",""], camera_mode="orbit")
vox = k3d.voxels(np.ones((256,256,32)).transpose(2,0,1), color_map=cmap,compression_level=-1)
plot += vox

plot.display()

import ipywidgets as widgets
text = widgets.IntText()

slider = widgets.IntSlider(min=0, max = scene.sequence_length)

@debounce(0.2)
def on_change(x):
    data = load.Scene(8,5*x.new).voxel_label
    data[data == 255] = 0
    print(id(vox.voxels))
    vox.voxels = data.transpose(2,0,1)

widgets.jslink((text, 'value'), (slider, 'value'))
slider.observe(on_change, "value")
widgets.HBox([text, slider])
artur-trzesiok commented 2 days ago

Hi @ankardon !

Sorry but your example isn't working. Voxels are pretty intensive in terms of cpu and gpu. Crash can happend. To analyse it I need to have proper example and data. Btw outlines are pretty intensive too.