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authorVito Caputo <vcaputo@pengaru.com>2023-09-01 21:54:09 -0700
committerVito Caputo <vcaputo@pengaru.com>2023-09-02 09:45:15 -0700
commitd73df8d9b10490b2e09623972cf4d8d5f7b84162 (patch)
treed1bfdd3813d698eca4c64577134ebbeb5f324a90 /src/modules/meta2d
parentc1118d5daed415f49cc4bb9bfba07801fa9a1481 (diff)
flow: implement a 3D flow field module
This is kind of a particle system, where the particles are pushed around through a 3D vector space treated as a flow field. No physics are being simulated here, it's just treating the flow field as direction vectors that are trilinearly interpolated when sampled to produce a single direction vector. That direction vector gets applied to particles near it. To keep things interesting the flow field evolves by having two distinct flow fields which the simulation progressively alternates sampling from. For every frame, both flow fields are sampled for every particle, but how much weight is given to the influence of one vs. the other varies by a triangle wave over time. When the weight is biased enough to one of the flow fields near a peak/valley in the triangle wave, the other gets re-populated while its influence is negligible, also interpolating its new values with 25% influence from the active field. The current flow field population routine is completely random. Yet there's a surprising amount of emergent order despite being totally randomized direction vectors. Currently supported settings include: size= the width of the 3D flow field cube in direction vectors (the number of vectors is size*size*size) count= the number of particles/elements speed= how far a particle is moved along the current sample's direction vector This was first implemented in 2017, but sat unfinished in a topic branch for myriad reasons. Now that rototiller has much more robust settings infrastructure, among other things, it seemed worth finishing this up and merging.
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