Hello, With the help of this list, over the past two days, I have implemented a GPU particle system (picture here: http://img7.imageshack.us/img7/7589/image1olu.png). Every particle is updated entirely on the GPU, with texture data (arrays) being updated iteratively between two framebuffer objects. Here, 65,536 particles are drawn at ~50 fps.
Currently, jitter is introduced into the system by means of a "random texture", which should store random unit 3D vectors encoded into the RGB channels (vectors point in all directions, positive and negative, so the vecotr is actually 0.5 long and added to 0.5). The random texture is constructed using Python's random number generation, which is noticeably slower. I also didn't find an efficient way of creating "random" vectors. All this contributes to the pattern artifact at the bottom of the screenshot. I'd like to use NumPy. The array should be constructed as n*n*3, with every vec3 being a normalized random vector with each component in the range [-1.0,1.0]. I could use numpy.random.random(), but this would not give the appropriate vectors. Every 3D vector should have the same probability of being chosen. I don't know how to do that in NumPy--that's where I need help. Ian
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