Marco Musy

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I'll classify it as bug for the moment. I will investigate a bit more if it can be due to vedo but so far it looks like it's probably not.

you need `ribbon = Ribbon(line1=ellip1, line2=ellip2, closed=True)`

Hi, thanks for drawing my attention to streamlit which looks absolutely fantastic! at the minute this is not supported but I would love to explore the possibilities.

as i understand it should probably belong to `vedo`.. I hope i can play a bit with it over the weekend

My very first try at it: ```python import vedo from itkwidgets import view from ipywidgets import embed import streamlit.components.v1 as components data = vedo.Volume(vedo.dataurl+'embryo.tif').imagedata() #data = vedo.Sphere().scale(100).polydata() #print(type(data)) #vedo.show(data, interactive=True)...

sorry for the late reply can you type `vedo --info` to check your system. What if you try with the dev version: `pip install -U git+https://github.com/marcomusy/vedo.git`

uhm that looks strange.. is there a way that you can share one of these obj files?

I'm not completely sure why that happens but depth peeling fixes it..: ```python from vedo import * settings.useDepthPeeling = True msh = Mesh("normalized_model.obj").texture("texture.png") show(msh, axes=1) ``` ![Screenshot from 2022-02-08 00-08-11](https://user-images.githubusercontent.com/32848391/152887454-b2c1f3b5-27e8-4f7f-be89-660345738df3.png)

uhm what version of vtk do you have and your OS? Try type: `vedo --info`

Hi Federico, it makes sense! Except that one should keep in mind that such an indicator is meaningful only in parallel projection mode (not in perspective mode) . Indeed `axes=13`...