how to calculate euclidean distance in python opencv

[varsha1901]

hey guys, i am trying to calculate the euclidean distance, but it is not giving me the proper values. i have no idea, whether the problem is with my code or the IDE i'm using. I use enthought canopy with python and opencv.

from collections import *
from CBIR import *
from experiment import *
from scipy.spatial import distance
 
result_list = list()
i = 0
a_list = list()
b_list = list()
a_list.append(feature_matrix_ip)
while i < 9:
    b_list.append(feature_matrix_db[i])
    dist = distance.euclidean(a_list,b_list[i])
    result_list.append(dist)
    result_list_sort = OrderedDict(sorted(enumerate(result_list),key=lambda x: x[0])).keys()
    i = i + 1 
res_lst_srt = zip(result_list,result_list_sort)
res_lst_srt.sort()
print res_lst_srt
 

even if the image belongs to the database also, the distance will not be 0.0

Any suggestions are welcome!
Thanks for the support!