Multivariate Normal Issue

[hugos94]

I am using the latest version of opencv and several functions have been modified. I adapted the code to work with the current version, however, when function g = [multivariate_normal(mean=means[k], cov=covs[k]) for k in range(0, len(weights)) ] is applied the following error is returned:numpy.linalg.linalg.LinAlgError: singular matrix.

I know that some function is returning a singular matrix, which makes it impossible to apply the function multivariate_normal.

What should I do? I'm really needing FisherVector applied to the Bag Of Words, and that was the only implementation I found.

Sorry for the bad english and thanks for the help.

[hendrycks]

@jacobgil I can confirm.

Here is the main code modification I made before encountering this issue.

em = cv2.ml.EM_create()
em.setClustersNumber(N)
em.trainEM(descriptors)

return np.float32(em.getMeans()), np.float32(em.getCovs()), np.float32(em.getWeights())[0]

[luntai]

What is 'pdf' in line 38 'gaussians[index] = np.array([g_k.pdf(x) for g_k in g])' ?????
I can't find the function @hendrycks @hugos94 @ @jacobgil

[Usernamezhx]

@hugos94 hi sorry to bother you .how you solve the problem numpy.linalg.linalg.LinAlgError: singular matrix

[Hridaydeep]

@jacobgil I can confirm.

Here is the main code modification I made before encountering this issue.

em = cv2.ml.EM_create()
em.setClustersNumber(N)
em.trainEM(descriptors)

return np.float32(em.getMeans()), np.float32(em.getCovs()), np.float32(em.getWeights())[0]

i have tired to implement this modification but is showing error in em.trainEM(descriptors)
TypeError: ml_StatModel.train() missing required argument 'layout' (pos 2)
If you have got this solution please share. Thank you