Batch mode for large number of text labels

Running this code snippet:

import sys, itertools, vedo
from numpy.core.multiarray import arange
from time import perf_counter
from vedo import Picture, Text3D

pic = Picture('lena.bmp')
mesh = pic.tomesh().mapPointsToCells()
labels = []
t0 = perf_counter()

for x, y in itertools.product(arange(0.3, 99, 1), arange(0.4, 99, 1)):
  labels.append(Text3D('42', (x, y, 0), s=0.2))

t1 = perf_counter()
print(f'{t1-t0:.6f}s')
vedo.show(mesh, labels)

takes 3.7s to construct all text labels. 10K labels makes zoom a bit laggy on my PC. 1K labels take 0.5s to create and zoom is very smooth. Is there a way. e.g. batch mode, to create these labels faster and perhaps make display smoother?

[marcomusy]

Consider this variation:

...
for x, y in itertools.product(arange(0.3, 99, 1), arange(0.4, 99, 1)):
  labels.append(Text3D('42', (x, y, 0), s=0.2))
labels = vedo.merge(labels) # this merges them into a single object
labels.write("mylabels.ply") # this saves them so you don't need to recreate
# labels = vedo.Mesh("mylabels.ply", c='black')

should solve both problems.

[pauljurczak]

Fantastic! I will do a few experiments with it. Thanks a lot.