TypeError: expected str, bytes or os.PathLike object, not NoneType

[NazarovAV]

TypeError: expected str, bytes or os.PathLike object, not NoneType

[vadimkantorov]

@abhisheksambyal Please send a PR, I'll merge these

[vadimkantorov]

It seems that either codegen_dir or caffe_proto are None. Could you please put in a print(codegen_dir, caffe_proto) before the local_caffe_proto = ... line and paste in here what it prints?

[NazarovAV]

Yes, caffe_proto was None.
I've added flag "caffe_proto = 'https://raw.githubusercontent.com/BVLC/caffe/master/src/caffe/proto/caffe.proto'" and fixed a couple of mistakes "AttributeError: 'OSError' object has no attribute 'message'" and "UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa2 in position 31: invalid start byte".
Now i get the message:
"Skipping layer [concat, Concat, Concat]: not found in caffemodel2pytorch.modules dict
Skipping layer [neg, Power, Power]: not found in caffemodel2pytorch.modules dict
Skipping layer [flatten, Flatten, Flatten]: not found in caffemodel2pytorch.modules dict
Skipping layer [abssum, Reduction, Reduction]: not found in caffemodel2pytorch.modules dict
caffemodel2pytorch: loading model from [tracker.caffemodel] in HDF5 format failed [], falling back to caffemodel format
caffemodel2pytorch: loaded model from [tracker.caffemodel] in caffemodel format
Traceback (most recent call last):
File "py.py", line 13, in
blobs_out = net.forward(data = np.zeros((8, 3, 224, 224), dtype = np.float32))
File "/media/veracrypt1/work/examples/trackers/caffemodel2pytorch-master/caffemodel2pytorch.py", line 119, in forward
assert name in variables, 'Variable [{}] does not exist. Pass it as a keyword argument or provide a layer which produces it.'.format(name)
AssertionError: Variable [target] does not exist. Pass it as a keyword argument or provide a layer which produces it."

[vadimkantorov]

AssertionError: Variable [target] does not exist. Pass it as a keyword argument or provide a layer which produces it." basically this is it. It seems that your model wants to compute some loss with ground truth "target" - either you should write some code that would modify the network prior to forward pass or you should provide it with some (dummy?) target variables

[vadimkantorov]

You should also decide if you want to provide pytorch equivalents of these modules:

"Skipping layer [concat, Concat, Concat]: not found in caffemodel2pytorch.modules dict
Skipping layer [neg, Power, Power]: not found in caffemodel2pytorch.modules dict
Skipping layer [flatten, Flatten, Flatten]: not found in caffemodel2pytorch.modules dict
Skipping layer [abssum, Reduction, Reduction]: not found in caffemodel2pytorch.modules dict

[vadimkantorov]

If you do, please don't hesitate to send a PR - the codebase would improve from some porting to Python3 and more modern PyTorch

[abhisheksambyal]

1. Line #139: Comment or remove e.message
2. Line #140: Change to bytes_weights = open(weights, 'rb').read()

These two change worked for me.
Env: Pytorch: 1.5, Python: 3.6.9, Google Colab