Problem in feature extraction while running myalexnet_forward_newtf.py

[priyanka-manogaran06]

TypeError Traceback (most recent call last)
in
----> 1 import myalexnet_forward_newtf

~\Desktop\ai-visual-storytelling-seq2seq-master\dataset\models\alexnet\myalexnet_forward_newtf.py in
210
211 data_file.create_dataset("embeddings", data = image_embeddings)
--> 212 data_file.create_dataset("image_ids", data = image_ids)
213
214 print(time.time()-t)

c:\users\elcot\appdata\local\programs\python\python36\lib\site-packages\h5py_hl\group.py in create_dataset(self, name, shape, dtype, data, **kwds)
134
135 with phil:
--> 136 dsid = dataset.make_new_dset(self, shape, dtype, data, **kwds)
137 dset = dataset.Dataset(dsid)
138 if name is not None:

c:\users\elcot\appdata\local\programs\python\python36\lib\site-packages\h5py_hl\dataset.py in make_new_dset(parent, shape, dtype, data, chunks, compression, shuffle, fletcher32, maxshape, compression_opts, fillvalue, scaleoffset, track_times, external, track_order, dcpl)
116 else:
117 dtype = numpy.dtype(dtype)
--> 118 tid = h5t.py_create(dtype, logical=1)
119
120 # Legacy

h5py\h5t.pyx in h5py.h5t.py_create()

h5py\h5t.pyx in h5py.h5t.py_create()

h5py\h5t.pyx in h5py.h5t.py_create()

TypeError: No conversion path for dtype: dtype('<U93')

code:
net_data = np.load(open("bvlc_alexnet.npy","rb"),encoding="latin1").item()

please help me to solve this issue!

[MeenatchiKV]

Convert the path names in image_ids to string in "ascii" format then create the dataset.
The error occured when trying to use strings of a different encoding when hdf5 supports ascii or utf-8.
data_file.create_dataset("embeddings", data = image_embeddings)
ascii_img_id = []
for img_path in image_ids:
ascii_img_ids.append(img_path.encode("ascii"))
data_file.create_dataset("image_ids", data = image_ids)