The 1st entry of padding argument must be a tuple of 2 integers. Received: 3

[mrlzla]

python -m caffe2keras deploy_google_64.prototxt trained_google_64_v01_iter_8000.caffemodel keras-output-model.h5
Using Theano backend.
Converting model...
CREATING MODEL
Traceback (most recent call last):
File "/usr/lib/python2.7/runpy.py", line 174, in _run_module_as_main
"main", fname, loader, pkg_name)
File "/usr/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/home/vladik/ml/caffe2keras/caffe2keras/main.py", line 32, in
main()
File "/home/vladik/ml/caffe2keras/caffe2keras/main.py", line 22, in main
model = convert.caffe_to_keras(args.prototxt, args.caffemodel, args.debug)
File "caffe2keras/convert.py", line 358, in caffe_to_keras
tuple(config.input_dim[1:]))
File "caffe2keras/convert.py", line 471, in create_model
out_blobs = converter(layer, layer_bottom_blobs)
File "caffe2keras/convert.py", line 53, in wrapper
rv = converter_func(spec, bot_arg)
File "caffe2keras/convert.py", line 118, in handle_conv
data_format='channels_first')(bottom)
File "/usr/local/lib/python2.7/dist-packages/keras/legacy/interfaces.py", line 87, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/keras/layers/convolutional.py", line 1306, in init
'1st entry of padding')
File "/usr/local/lib/python2.7/dist-packages/keras/utils/conv_utils.py", line 30, in normalize_tuple
str(n) + ' integers. Received: ' + str(value))
ValueError: The 1st entry of padding argument must be a tuple of 2 integers. Received: 3

[qxcv]

Hmm, looks like a similar problem to #2 (although this time it's actually the code in this repo…). Converting the width and height in handle_conv to ints should fix the problem for good, but in the mean time, running on Python 3 should make it work.