TypeError: slice indices must be integers or None or have an __index__ method

[a-whitej]

Traceback (most recent call last):
File "forward.py", line 134, in
main()
File "forward.py", line 98, in main
means = get_mean_npy(mean_file, crop_size = batch_shape[2:], isColor = is_color)
File "forward.py", line 20, in get_mean_npy
(_shape[3] - crop_size[1]) / 2:(_shape[3] + crop_size[1]) / 2]
TypeError: slice indices must be integers or None or have an index method

[RojunLin]

Do you change any argments in "forward.py"? It runs well on my computer.

[a-whitej]

I didnot make any code change. Clone new caffe code with windows version and make install. And run forward.py just it

[RojunLin]

may be the python version differences. You can change the code like this:
mean_npy = mean_npy[
:,
int((_shape[2] - crop_size[0]) / 2) : int((_shape[2] + crop_size[0]) / 2),
int((_shape[3] - crop_size[1]) / 2) : int((_shape[3] + crop_size[1]) / 2)]

[a-whitej]

I did this.

Pytorch version has issue.

Anaconda: 3-4.1.1
torch : 1.1.0

Traceback (most recent call last):
File "forward.py", line 86, in
main()
File "forward.py", line 44, in main
load_model(torch.load('./models/alexnet.pth'), net)
File "E:\Anaconda34\lib\site-packages\torch\serialization.py", line 387, in load
return _load(f, map_location, pickle_module, **pickle_load_args)
File "E:\Anaconda34\lib\site-packages\torch\serialization.py", line 574, in _load
result = unpickler.load()
UnicodeDecodeError: 'ascii' codec can't decode byte 0xa4 in position 2: ordinal not in range(128)

[a-whitej]

For pytorch issue(on Python 3.5.2)

Add:

from functools import partial
import pickle
pickle.load = partial(pickle.load, encoding="latin1")
pickle.Unpickler = partial(pickle.Unpickler, encoding="latin1")

And make change:
# load pretrained model
load_model(torch.load('./models/alexnet.pth',pickle_module=pickle), net)

[ygrayson]

I encountered this error as well. At some point in the index there is a "divide by 2" and Python would possibly treat it as float number after dividing by 2. Using integer casting int() should solve the problem.

Mine works well in the caffe version. Not fully sure about Pytorch version.