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Hi, I get this error:
C:\Users\oamsalem\anaconda3\envs\brainrender\Lib\site-packages\traittypes\traittypes.py:97: UserWarning: Given trait value dtype "float64" does not match required type "float32". A coerced copy has been created. warnings.warn( ╭─────────────────────────────── Traceback (most recent call last) ────────────────────────────────╮ │ Z:\Projects\merfish_registration\Show_FoV_Rachel.py:95 in <module> │ │ │ │ 92 print("---- Saving rander to html ---- ") │ │ 93 │ │ 94 # scene.render() │ │ ❱ 95 scene.export(f"Rachel_FoV_new_5_{mask_name}.html") │ │ 96 # │ │ 97 print("---- Done ---- ") │ │ 98 │ │ │ │ C:\Users\oamsalem\anaconda3\envs\brainrender\Lib\site-packages\brainrender\render.py:319 in │ │ export │ │ │ │ 316 │ │ # Create new plotter and save to file │ │ 317 │ │ plt = Plotter() │ │ 318 │ │ plt.add(self.clean_renderables).render() │ │ ❱ 319 │ │ plt = plt.show(interactive=False) │ │ 320 │ │ │ │ 321 │ │ with open(path, "w") as fp: │ │ 322 │ │ │ fp.write(plt.get_snapshot()) │ │ │ │ C:\Users\oamsalem\anaconda3\envs\brainrender\Lib\site-packages\vedo\plotter.py:3337 in show │ │ │ │ 3334 │ │ │ │ 3335 │ │ # Backend ############################################################### │ │ 3336 │ │ if vedo.settings.default_backend in ["k3d", "panel"]: │ │ ❱ 3337 │ │ │ return backends.get_notebook_backend(self.objects) │ │ 3338 │ │ ######################################################################### │ │ 3339 │ │ │ │ 3340 │ │ for ia in utils.flatten(objects): │ │ │ │ C:\Users\oamsalem\anaconda3\envs\brainrender\Lib\site-packages\vedo\backends.py:31 in │ │ get_notebook_backend │ │ │ │ 28 │ │ │ 29 │ ######################################### │ │ 30 │ if settings.default_backend == "k3d": │ │ ❱ 31 │ │ return start_k3d(actors2show) │ │ 32 │ │ │ 33 │ ######################################### │ │ 34 │ if settings.default_backend.startswith("trame"): │ │ │ │ C:\Users\oamsalem\anaconda3\envs\brainrender\Lib\site-packages\vedo\backends.py:300 in start_k3d │ │ │ │ 297 │ │ │ │ vcols = ia.dataset.GetPointData().GetScalars() │ │ 298 │ │ │ │ if vcols and vcols.GetNumberOfComponents() == 3: │ │ 299 │ │ │ │ │ cols = utils.vtk2numpy(vcols) │ │ ❱ 300 │ │ │ │ │ cols = 65536 * cols[:, 0] + 256 * cols[:, 1] + cols[:, 2] │ │ 301 │ │ │ │ # print("GetColor",iap.GetColor(), _rgb2int(iap.GetColor()) ) │ │ 302 │ │ │ │ # print("colors", len(cols)) │ │ 303 │ │ │ │ # print("color_attribute", color_attribute) │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ OverflowError: Python integer 65536 out of bounds for uint8
When tryin to use brainrender and vedo, any idea ?
@IgorTatarnikov
The text was updated successfully, but these errors were encountered:
fix issue #1224
3218336
Thanks @orena1 for reporting the issue and sorry for the late reply. I think it is indeed a bug. I hope this can fix it:
pip install -U git+https://github.com/marcomusy/vedo.git
Test:
import numpy as np from vedo import Sphere, settings settings.default_backend = "k3d" s = Sphere() rgb = [] for i in range(s.npoints): r = 255 * i / s.npoints g = 1 - r/2 b = 1 - r rgb.append([r, g, b]) s.pointcolors = rgb # rgb = [] # for i in range(s.ncells): # r = 255 * i / s.ncells # g = 1 - r/2 # b = 1 - r # rgb.append([r, g, b]) # s.cellcolors = rgb print(s) s.show(axes=1)
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Hi,
I get this error:
When tryin to use brainrender and vedo, any idea ?
@IgorTatarnikov
The text was updated successfully, but these errors were encountered: