Hi,
I'm trying NearPy, and I got some error. Below is some code and error message.
import scipy.io as sio
mat_file = sio.loadmat("C:\\Users\\RA2\\Desktop\\Workspaces\\LightenedCNN_A_lfw.mat")
fea = mat_file["features"]
labels = mat_file["labels_original"]
img_path = mat_file["image_path"]
from nearpy import Engine
from nearpy.hashes import RandomBinaryProjections
# Dimension of our vector space
dimension = 256
n_d = 10
rbp1 = RandomBinaryProjections('rbp', n_d)
# Create engine with pipeline configuration
engine = Engine(dimension, lshashes=[rbp1])
for v, i in zip(fea[1:,:], range(1, len(fea)+1)):
engine.store_vector(v, img_path[i])
query = fea[0]
# Get nearest neighbours
N = engine.neighbours(query)
File "C:\Users\RA2\Anaconda3\lib\site-packages\nearpy\filters\uniquefilter.py", line 51, in filter_vectors
unique_dict[v[1]] = v
TypeError: unhashable type: 'numpy.ndarray'
The code crash when n_d is below 15.
Is this a bug?
Hi, I'm trying NearPy, and I got some error. Below is some code and error message.
The code crash when n_d is below 15. Is this a bug?
Thanks Zehao Shi