what type should `covs` be in `getCovs(covs)`?
From the 3.0-beta c++, "Returns vector `std::vector& covs` of covariation matrices. Number of matrices is the number of gaussian mixtures, each matrix is a square floating-point matrix NxN, where N is the space dimensionality."
from this old opencv2 [bug](http://code.opencv.org/issues/1117 "bug"), I understand that "vector corresponds to a list of numpy arrays, not 3D numpy array (since matrices in vector can in general have different size.) "
from cv2 import ml
import numpy as np
def dictionary(descriptors, number_clusters=N):
covs = [np.zeros(( N, N), np.float64)]
em = ml.EM_create()
em.setClustersNumber(N)
em.trainEM(descriptors)
means = em.getMeans()
covs = em.getCovs(covs)
weights = em.getWeights()
return np.float32(means), np.float32(covs), np.float32(weights)[0]
printing out `covs` just prints out the original `[np.zeros(( N, N), np.float64)]`. Any body know how to get the covs?
*Note that attempting to run this code will not work without fixing this [bug](https://github.com/Itseez/opencv/pull/4232 "bug") and rebuilding.*
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