Comments (7)
could you tell me how to solve this problem in detail? thanks.
from caffe-tensorflow.
Has anyone solved this??
from caffe-tensorflow.
I am facing the same problem.
from caffe-tensorflow.
I ran into this issue when downloading alexnet prototxt by wget from this url:
wget https://github.com/BVLC/caffe/blob/master/models/bvlc_alexnet/deploy.prototxt
the downloaded prototxt was an html file and so incurs a parser complaint.
I circumvented this issue by coping the raw contents from github and pasting them into an empty file.
It worked out.
Not sure if your problem has the same root cause.
from caffe-tensorflow.
the downloaded prototxt was an html file and so incurs a parser complaint.
You can click on the "Raw" button to get raw file (without GitHub's html):
https://raw.githubusercontent.com/BVLC/caffe/master/models/bvlc_alexnet/deploy.prototxt
from caffe-tensorflow.
google.protobuf.text_format.ParseError: 7:1 : '': Expected identifier or number, got <.
I had the same problem. How do I solve it? Please help
from caffe-tensorflow.
I am trying to convert googlenet pretrained on places365 dataset and getting the following error.
`
WARNING: PyCaffe not found! Falling back to a pure protocol buffer implementation. * Conversions will be drastically slower. * This backend is UNTESTED!
Traceback (most recent call last):
File "convert.py", line 60, in
main()
File "convert.py", line 56, in main
args.phase)
File "convert.py", line 27, in convert
transformer = TensorFlowTransformer(def_path, caffemodel_path, phase=phase)
File "/home/vsl5/Desktop/shivansh/internship/caffe2tf/caffe-tensorflow/kaffe/tensorflow/transformer.py", line 221, in init
self.load(def_path, data_path, phase)
File "/home/vsl5/Desktop/shivansh/internship/caffe2tf/caffe-tensorflow/kaffe/tensorflow/transformer.py", line 227, in load
graph = GraphBuilder(def_path, phase).build()
File "/home/vsl5/Desktop/shivansh/internship/caffe2tf/caffe-tensorflow/kaffe/graph.py", line 140, in init
self.load()
File "/home/vsl5/Desktop/shivansh/internship/caffe2tf/caffe-tensorflow/kaffe/graph.py", line 146, in load
text_format.Merge(def_file.read(), self.params)
File "/home/vsl5/anaconda3/envs/pyth2_7/lib/python2.7/site-packages/google/protobuf/text_format.py", line 536, in Merge
descriptor_pool=descriptor_pool)
File "/home/vsl5/anaconda3/envs/pyth2_7/lib/python2.7/site-packages/google/protobuf/text_format.py", line 590, in MergeLines
return parser.MergeLines(lines, message)
File "/home/vsl5/anaconda3/envs/pyth2_7/lib/python2.7/site-packages/google/protobuf/text_format.py", line 623, in MergeLines
self._ParseOrMerge(lines, message)
File "/home/vsl5/anaconda3/envs/pyth2_7/lib/python2.7/site-packages/google/protobuf/text_format.py", line 638, in _ParseOrMerge
self._MergeField(tokenizer, message)
File "/home/vsl5/anaconda3/envs/pyth2_7/lib/python2.7/site-packages/google/protobuf/text_format.py", line 706, in _MergeField
name = tokenizer.ConsumeIdentifierOrNumber()
File "/home/vsl5/anaconda3/envs/pyth2_7/lib/python2.7/site-packages/google/protobuf/text_format.py", line 1166, in ConsumeIdentifierOrNumber
raise self.ParseError('Expected identifier or number, got %s.' % result)
google.protobuf.text_format.ParseError: 7:1 : Expected identifier or number, got <.
`
I am using python2.7 with tensorflow 1.8.0
Is there a fix for this probelm?
I had the same problem. did you solve?
from caffe-tensorflow.
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from caffe-tensorflow.