在跑caffe demo的时候遇到的问题,具体报错如下:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-49-fe99b8f3cc41> in <module>
1 dummy_data = L.DummyData(shape=dict(dim=[1, 3, 227, 227]))
----> 2 caffenet(data=dummy_data, train=False)
3 # print(str(caffenet(data=dummy_data, train=False)))
4 # imagenet_net_filename = caffenet(data=dummy_data, train=False)
5 # print(imagenet_net_filename)
<ipython-input-48-7c8a9a79285d> in caffenet(data, label, train, num_classes, classifier_name, learn_all)
38 # write the net to a temporary file and return its filename
39 with tempfile.NamedTemporaryFile(delete=False) as f:
---> 40 f.write(str(n.to_proto()))
41 return f.name
~/anaconda3/envs/tensorflow-gpu/lib/python3.7/tempfile.py in func_wrapper(*args, **kwargs)
479 @_functools.wraps(func)
480 def func_wrapper(*args, **kwargs):
--> 481 return func(*args, **kwargs)
482 # Avoid closing the file as long as the wrapper is alive,
483 # see issue #18879.
TypeError: a bytes-like object is required, not 'str'
报错位置是:
---> 40 f.write(str(n.to_proto()))
但实际上是需要修改上一行,
# with tempfile.NamedTemporaryFile(delete=False) as f:
with tempfile.NamedTemporaryFile(delete=False, mode='w') as f:
问题解决!