Sounds interesting for what *I* do, but I don't know that it would work
in Blender. I've experienced problems with using Blender with larger
numbers of objects ( say 1K or more).<br>
<br>
<br><br><div><span class="gmail_quote">On 2/12/06, <b class="gmail_sendername">Toni Alatalo</b> <<a href="mailto:antont@kyperjokki.fi">antont@kyperjokki.fi</a>> wrote:</span><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
does anyone know these? sounds interesting!<br><br>---------- Forwarded Message ----------<br><br>Subject: ANN: first release of IVuPy-0.1<br>Date: Sunday 12 February 2006 14:38<br>From: Gerard Vermeulen <<a href="mailto:gerard.vermeulen@grenoble.cnrs.fr">
gerard.vermeulen@grenoble.cnrs.fr</a>><br>To: <a href="mailto:python-announce-list@python.org">python-announce-list@python.org</a><br><br>I am proud to announce IVuPy-0.1 (I-View-Py).<br><br>IVuPy is a Python extension module developed to write Python programs
<br>for 3D visualization of large data sets using Qt and PyQt. Python is<br>extended by IVuPy with more than 600 classes of two of the Coin3D C++<br>class libraries: Coin and SoQt.<br><br>Coin is compatible with the Open Inventor API. Open Inventor is an
<br>object-oriented 3D toolkit built on OpenGL that provides a 3D scene<br>database, a built-in event model for user interaction, and the ability<br>to print objects and exchange data with other graphics formats.<br>The SoQt library interfaces Coin to Qt. See
<a href="http://www.coin3d.org">http://www.coin3d.org</a> for<br>more information on Coin3D.<br><br>IVuPy requires at least one of the Numerical Python extension modules:<br>NumPy, Numeric, or numarray (IVuPy works with all of them at once).
<br>Data transfer between the Numerical Python arrays and the Coin data<br>structures has been implemented by copying.<br><br>The design of the Open Inventor API favors ease of use over performance.<br>The API is a natural match for Python, and in my opinion it is fun to
<br>program with IVuPy.<br><br>The performance penalty of the design choice is small. The first example<br>at <a href="http://ivupy.sourceforge.net/examples.html">http://ivupy.sourceforge.net/examples.html</a> demonstrates this: NumPy
<br>calculates a surface with a million nodes in 1.7 seconds and Coin3D<br>redisplays the surface in 0.3 seconds on my Linux system with a 3.6 GHz<br>Pentium and a nVidea graphics card (NV41.1).<br><br>The Inventor Mentor (
<a href="http://www.google.com/search?q=inventor+mentor">http://www.google.com/search?q=inventor+mentor</a> )<br>is essential for learning IVuPy. The IVuPy documentation supplements<br>the Inventor Mentor. IVuPy includes all C++ examples from the Inventor
<br>Mentor and their Python translations. There are also more advanced<br>examples to show the integration of IVuPy and PyQt.<br><br>IVuPy has been used for almost 6 months on Linux and Windows in the<br>development of a preprocessor for a finite element flow solver and has
<br>been proven to be very stable.<br><br>Prerequisites for IVuPy are:<br>- Python-2.4.x or -2.3.x<br>- at least one of NumPy, numarray, or Numeric<br>- Qt-3.3.x, -3.2.x, or -3.1.x<br>- SIP-4.3.x or -4.2.1<br>- PyQt-3.15.x
or -3.14.1<br>- Coin-2.4.4 or -2.4.3<br>- SoQt-1.3.0 or -1.2.0<br><br>IVuPy is licensed under the terms of the GPL. Contact me, if the GPL is<br>an obstacle for you.<br><br><a href="http://ivupy.sourceforge.net">http://ivupy.sourceforge.net
</a> is the home page of IVuPy.<br><br>Have fun -- Gerard Vermeulen<br>--<br><a href="http://mail.python.org/mailman/listinfo/python-announce-list">http://mail.python.org/mailman/listinfo/python-announce-list</a><br><br> Support the Python Software Foundation:
<br> <a href="http://www.python.org/psf/donations.html">http://www.python.org/psf/donations.html</a><br><br>-------------------------------------------------------<br>_______________________________________________
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</a><br></blockquote></div><br>