http://worldtech.com.my/solution/pvm.html Web29 nov. 2015 · Based on the last approach on this page, you can simply generate a vector consisting of independent samples from three standard normal distributions, then normalize the vector such that its magnitude is 1:. import numpy as np def sample_spherical(npoints, ndim=3): vec = np.random.randn(ndim, npoints) vec /= np.linalg.norm(vec, axis=0) …
Assertion fails for the number of points, on OpenCV
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