# anna_waldon

anna_waldon

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## Recent Forum Posts

#### Generative modeling of wobbly sticks: workflow challengeDec. 30, 2010, 10:37 p.m.

\$CY works nicely. I shall go and make another effort at finding a list of those in the docs.

EDIT: So, I have created a line, rotated it using a Transform node, randomised rotation and length using Copy node and stamping. Now I am trying to find the mid spon point in a similar way it is done in the define_mid_spawn_point VOP SOP in the example above. But how can I get to the relevant points please (i.e. I need to use the ends of the lines)?

See attached.

This is a general question too: what are the procedures to operate on lists and lists of lists in Houdini. I see the Sort node but how do I cull a portion of the list, append to it or choose a desired point/primitive on a basis of a pattern? Say, in the case of the output provided by my Copy node.

Thank you.

#### Rotate in VOP SOPDec. 30, 2010, 7:13 p.m.

Thank you very much, I shall have a look.

#### Generative modeling of wobbly sticks: workflow challengeDec. 30, 2010, 6:58 p.m.

Thank you very much!

To be honest, this looks considerably more complex than I expected (and then what I had to do to build my equivalent). I cannot understand it without further digging, especially within the VOP SOPs. Just the thing to do during the break. Shall try and go through it. I wonder if you could be tempted to add some further comments to them.

The first point of difference is the distribution of the lines at the very beginning. I my Grasshopper setup I create one line from the origin and then rotate its copies. This allows me to fill only a portion of the circle and vary the distribution along its circumference. Scatter is not controllable in the same way. I was trying to do it via copy stamping in Houdini but got stuck with what variable to use for randomization as \$PT and \$F do not vary in this case…

I also notice that if displace origin is set to, say, -10 - the lines incline towards the center pas the vertical, which seems wrong.

Again: thank you.