ValueError: Array 'mean' must be a vector of length 16384.

[Monarch1995]

I have tried a few hours to solve this problem,but i failed.almost in line 38, the likelihood_statistics function,g = [multivariate_normal(mean=means[k], cov=covs[k]) for k in range(0, len(weights))],i think this is the main problem,but i can't solve it,can you help me?thank you very much.

[Monarch1995]

D:\Anaconda3\python.exe E:/fisher/new.py
Traceback (most recent call last):
File "E:/fisher/new.py", line 6, in
from sklearn import svm
File "D:\Anaconda3\lib\site-packages\sklearn\svm_init_.py", line 13, in
from .classes import SVC, NuSVC, SVR, NuSVR, OneClassSVM, LinearSVC,
File "D:\Anaconda3\lib\site-packages\sklearn\svm\classes.py", line 4, in
from .base import fit_liblinear, BaseSVC, BaseLibSVM
File "D:\Anaconda3\lib\site-packages\sklearn\svm\base.py", line 11, in
from ..preprocessing import LabelEncoder
File "D:\Anaconda3\lib\site-packages\sklearn\preprocessing_init.py", line 6, in
from ._function_transformer import FunctionTransformer
File "D:\Anaconda3\lib\site-packages\sklearn\preprocessing_function_transformer.py", line 5, in
from ..utils.testing import assert_allclose_dense_sparse
File "D:\Anaconda3\lib\site-packages\sklearn\utils\testing.py", line 54, in
from nose.tools import raises as nose_raises
File "D:\Anaconda3\lib\site-packages\nose_init.py", line 1, in
from nose.core import collector, main, run, run_exit, runmodule
File "D:\Anaconda3\lib\site-packages\nose\core.py", line 11, in
from nose.config import Config, all_config_files
File "D:\Anaconda3\lib\site-packages\nose\config.py", line 8, in
from nose.util import absdir, tolist
File "D:\Anaconda3\lib\site-packages\nose\util.py", line 12, in
from nose.pyversion import ClassType, TypeType, isgenerator, ismethod
File "D:\Anaconda3\lib\site-packages\nose\pyversion.py", line 36, in
import new
File "E:\fisher\new.py", line 160, in
fisher_features = fisher_features(folder, gmm)
File "E:\fisher\new.py", line 121, in fisher_features
features = {folder: get_fisher_vectors_from_folder(folder, gmm)}
File "E:\fisher\new.py", line 111, in get_fisher_vectors_from_folder
fv = fisher_vector(image_descriptors(file),*gmm)
File "E:\fisher\new.py", line 78, in fisher_vector
s0, s1, s2 = likelihood_statistics(samples, means, covs, w)
File "E:\fisher\new.py", line 43, in likelihood_statistics
g = [multivariate_normal(mean=means[k], cov=covs[k]) for k in range(0, len(weights))]
File "E:\fisher\new.py", line 43, in
g = [multivariate_normal(mean=means[k], cov=covs[k]) for k in range(0, len(weights))]
File "D:\Anaconda3\lib\site-packages\scipy\stats_multivariate.py", line 358, in call
seed=seed)
File "D:\Anaconda3\lib\site-packages\scipy\stats_multivariate.py", line 727, in init
None, mean, cov)
File "D:\Anaconda3\lib\site-packages\scipy\stats_multivariate.py", line 399, in _process_parameters
raise ValueError("Array 'mean' must be a vector of length %d." % dim)
ValueError: Array 'mean' must be a vector of length 16384.