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fibpy
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๐ Fibonacci spiral sampling utilities
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[![License][s1]][li] [s1]: https://img.shields.io/badge/licence-GPL%203.0-blue.svg [li]: https://raw.githubusercontent.com/matt77hias/fibpy/master/LICENSE.txt # fibpy ## About Fibonacci spiral sampling (Quasi-Monte Carlo techniques) utilities. ## Use ### Sampling in unit circle (with jagged boundary) <p align="center"> <img src="res/circle_mode0_alpha0.png" width="410"> <img src="res/circle_mode1_alpha0.png" width="410"> </p> <p align="center">Default perturbation - Random perturbation</p> ### Sampling in unit circle (with smooth boundary) <p align="center"> <img src="res/circle_mode0_alpha2.png" width="410"> <img src="res/circle_mode1_alpha2.png" width="410"> </p> <p align="center">Default perturbation - Random perturbation</p> ### Sampling on unit hemisphere <p align="center"> <img src="res/hemisphere_mode0.png" width="410"> <img src="res/hemisphere_mode1.png" width="410"> </p> <p align="center">Default perturbation - Random perturbation</p> ### Sampling on unit sphere <p align="center"> <img src="res/sphere_mode0.png" width="410"> <img src="res/sphere_mode1.png" width="410"> </p> <p align="center">Default perturbation - Random perturbation</p> ### Cosine weighted sampling on unit hemisphere <p align="center"> <img src="res/cosineweightedhemisphere_mode0.png" width="410"> <img src="res/cosineweightedhemisphere_mode1.png" width="410"> </p> <p align="center">Default perturbation - Random perturbation</p> ```python # Code test.test() ``` ## Bibliography ROBERTS M.: [*Evenly distributing points on a sphere*](http://extremelearning.com.au/evenly-distributing-points-on-a-sphere/), 2018.
