'convert.py' does not work with current 'resnet.py'

[MarvinTeichmann]

Running convert.py outputs the error:

Traceback (most recent call last):
  File "convert.py", line 343, in <module>
    tf.app.run()
  File "/home/mifs/mttt2/.virtualenvs/tfr1.0/local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 44, in run
    _sys.exit(main(_sys.argv[:1] + flags_passthrough))
  File "convert.py", line 339, in main
    convert(g, img, img_p, layers)
  File "convert.py", line 259, in convert
    bottleneck=True)
TypeError: inference() got an unexpected keyword argument 'preprocess'

The current version of resnet does not seem to have a preprocess option. Is this still required?

[liyd]

I have met the same problem, and my tensorflow version is r0.12.

[xiao1228]

Hi I am having the same issue. Did you find the way to solve it?

[xiao1228]

I just comment out the preporcess part.

[dnvtmf]

add preporcess part in inference(...) function

def inference(x, is_training,
              num_classes=1000,
              num_blocks=None,  # defaults to 50-layer network
              use_bias=False,  # defaults to using batch norm
              preprocess=True,
              bottleneck=True):
    if num_blocks is None:
        num_blocks = [3, 4, 6, 3]
    if preprocess:
        x = _imagenet_preprocess(x)
    # ....