Re: [Visualpython-users] optimise visualization for large set of

[Adrian M. V. <amv...@is...>]

Hello mail list

I  check my code in vpython3x as show below. Using scene.visible = 0 and
scene.visible = 1 it load faster, and more faster than using crude code with
Coin3D and SoQT or VTK for Python.

The problem is to manipulate (ex. rotate), it is really slow.

The idea can be to hide all wile rotating or zooming and re-render (possible
showing the bounding box as visual reference)

The question is: How to do that?


********************************************************
from visual import *
scene = display(title='Ejemplo VPython',
            center=(1400,0,1400))
scene.fullscreen=0
scene.exit=0
scene.autocenter = 1
scene.visible = 0

for x in range(100):
    for z in range(10):
      for y in range(100):
          box(pos=vector(1000+x*8.33,-15+z*3.,1000+y*8.33),
                            size=(8.33*0.9,3.*0.9,8.33*0.9),
                                         color=color.red)

scene.visible = 1
----- Original Message -----
From: Bruce Sherwood
To: Adrián Martínez Vargas
Sent: Monday, December 01, 2008 6:17 PM
Subject: Re: [Visualpython-users] optimise visualization for large set of
data


That's basically what I did:

scene.autocenter = 1
for x in range(100):
    for y in range(100):
        for z in range(10):
            box(pos=(x,y,10*z), size=(0.5,0.5,0.5))
scene.visible = 1

Bruce Sherwood

Adrián Martínez Vargas wrote:
Estimate

I can get the code you use to test?
It is the same to previous versions?

For the test I used

from visual import *
scene = display(title='Ejemplo VPython',
            center=(1400,0,1400))
scene.fullscreen=0
scene.exit=0

for x in range(100):
    for z in range(10):
      for y in range(100):
          bloque=box(pos=vector(1000+x*8.33,-15+z*3.,1000+y*8.33),
                            size=(8.33*0.9,3.*0.9,8.33*0.9),
                                        color=color.red)


Dr. Adrian Martínez Vargas
Revista Minería y Geología (Editor Principal)
ISMM, Las Coloradas, s/n
Moa, Holguín,
Cuba
CP. 83329
http://www.ismm.edu.cu/revistamg/index.htm


-----Original Message-----
From: Bruce Sherwood <Bru...@nc...>
To: Adrián Martínez Vargas <amv...@is...>
Cc: vis...@li...
Date: Mon, 01 Dec 2008 18:00:51 -0500
Subject: Re: [Visualpython-users] optimise visualization for large set of
data


It's not quite released yet. But almost everything is ready to go.

Bruce Sherwood

Adrián Martínez Vargas wrote:
> Estimate Bruce Sherwood
>
> The only link that I get from http://wiki.python.org/ is e 4.beta
> version, where I can get the 5th version?
>
>
> Dr. Adrian Martínez Vargas
> Revista Minería y Geología (Editor Principal)
> ISMM, Las Coloradas, s/n
> Moa, Holguín,
> Cuba
> CP. 83329
> http://www.ismm.edu.cu/revistamg/index.htm
>
>     -----Original Message-----
>     From: Bruce Sherwood <Bru...@nc...>
>     To: Adrián Martínez Vargas <amv...@is...>
>     Cc: vis...@li...
>     Date: Sat, 29 Nov 2008 13:01:19 -0500
>     Subject: Re: [Visualpython-users] optimise visualization for large
>     set of data
>
>     For Visual, that is a large data set in terms of having interactive
>     zoom
>     and rotate.
>
>     Using the latest experimental version (Visual 5), which has an
>     option to
>     display cycle time (time between renders) and render time (time
>     required
>     to render the scene), on a rather fast laptop (Dell XPS with NVIdia
>     graphics), 100x100x10 boxes has a cycle time of 1.35 seconds, and a
>     render time of 0.17 seconds. In other words, Visual is hardly able to
>     deal with that many objects interactively.
>
>     In Visual 5 there is a new object, "points", which is similar to curve
>     but the points aren't connected. With the same 100x100x10 grid there
is
>     a cycle time of 0.33 seconds and a render time of 0.080 seconds.
>
>     Bruce Sherwood
>
>
>     Adrián Martínez Vargas wrote:
>      > hello mail list
>      >
>      > I have problems to visualise a large number of data, the
>     visualization
>      > windows get slowly, for example with 100x100x10 boxes it is
>     really slow,
>      > and it is not too much.
>      >
>      > The question is: how to optimise the visualization for large set
>     of data?
>      >
>      >  your
>      > Adrian
>      >
>      >
>      >
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