On Windows 10 and using TF 0.12, using Python 3.5.2 to run python ./kaffe/kaffe.py and the illust2vec model and prototext gives me this error:
File "./kaffe/kaffe.py", line 14
print "scope:", key
^
SyntaxError: Missing parentheses in call to 'print'
Running it with Python 2 instead doesn't let me import Tensorflow since on Windows only Py3.5 can be used.
I fixed the print statement manually, and got a new and exciting error:
WARNING: PyCaffe not found!
Falling back to protocol buffer implementation.
This may take a couple of minutes.
Traceback (most recent call last):
File "./kaffe/kaffe.py", line 29, in load
self.load_using_caffe()
File "./kaffe/kaffe.py", line 37, in load_using_caffe
import caffe
ImportError: No module named 'caffe'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\User\AppData\Local\Programs\Python\Python35\lib\site-packages\google\protobuf\internal\python_message.py", line 1087, in MergeFromString
if self._InternalParse(serialized, 0, length) != length:
File "C:\Users\User\AppData\Local\Programs\Python\Python35\lib\site-packages\google\protobuf\internal\python_message.py", line 1109, in InternalParse
(tag_bytes, new_pos) = local_ReadTag(buffer, pos)
File "C:\Users\User\AppData\Local\Programs\Python\Python35\lib\site-packages\google\protobuf\internal\decoder.py", line 181, in ReadTag
while six.indexbytes(buffer, pos) & 0x80:
TypeError: unsupported operand type(s) for &: 'str' and 'int'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "./kaffe/kaffe.py", line 104, in <module>
main()
File "./kaffe/kaffe.py", line 101, in main
CaffeDataReader(def_path, data_path).dump(dst_path)
File "./kaffe/kaffe.py", line 25, in __init__
self.load()
File "./kaffe/kaffe.py", line 34, in load
self.load_using_pb()
File "./kaffe/kaffe.py", line 43, in load_using_pb
import caffepb
File "C:\Users\User\Documents\tensorFlowExp\neural-art-tf\kaffe\caffepb.py", line 712, in <module>
options=_descriptor._ParseOptions(descriptor_pb2.FieldOptions(), '\020\001')),
File "C:\Users\User\AppData\Local\Programs\Python\Python35\lib\site-packages\google\protobuf\descriptor.py", line 869, in _ParseOptions
message.ParseFromString(string)
File "C:\Users\User\AppData\Local\Programs\Python\Python35\lib\site-packages\google\protobuf\message.py", line 185, in ParseFromString
self.MergeFromString(serialized)
File "C:\Users\User\AppData\Local\Programs\Python\Python35\lib\site-packages\google\protobuf\internal\python_message.py", line 1093, in MergeFromString
raise message_mod.DecodeError('Truncated message.')
google.protobuf.message.DecodeError: Truncated message.
Your docs specifically say Caffe isn't required, but this error message is misleading in that it pretends that it is (checking the code reveals that it isn't). Seems that the load_using_pb() function is also throwing an error, presumably due to Python 3.
On Windows 10 and using TF 0.12, using Python 3.5.2 to run
python ./kaffe/kaffe.pyand the illust2vec model and prototext gives me this error:Running it with Python 2 instead doesn't let me import Tensorflow since on Windows only Py3.5 can be used.
I fixed the print statement manually, and got a new and exciting error:
Your docs specifically say Caffe isn't required, but this error message is misleading in that it pretends that it is (checking the code reveals that it isn't). Seems that the
load_using_pb()function is also throwing an error, presumably due to Python 3.