docopt

[sinemaslanx]

Hi to all!
I have never used docopt package before. To be able to execute the train.py file, which argument should I input to docstr variable? Im getting an error at "args = docopt(docstr, version='v0.1')"

The error I get is as belows:

  File "/media/sinem/LENOVO/deeplab-resnet-pytorch/train.py", line 41, in <module>
    args = docopt(docstr, version='v0.1')
  File "/usr/local/lib/python2.7/dist-packages/docopt.py", line 558, in docopt
    DocoptExit.usage = printable_usage(doc)
  File "/usr/local/lib/python2.7/dist-packages/docopt.py", line 468, in printable_usage
    raise DocoptLanguageError('"usage:" (case-insensitive) not found.')
docopt.DocoptLanguageError: "usage:" (case-insensitive) not found. 

Do you have a suggestion on how i can solve this?

I installed the latest version: docopt-0.6.2.tar.gz

Cheers,
sinem.

[sinemaslanx]

its ok now.. the reason was i put the following lines in the original code as comment.

[sinemaslanx]

Could anyone write the arguments emplpyed from command line (specialized for docopt usage)? executing train.py outputs

Usage: 
    train.py [options]
Options:
    -h, --help                  Print this message
    --GTpath = <str>              Ground truth path prefix [default: data/gt/]
    --IMpath=<str>              Sketch images path prefix [default: data/img/]
    --NoLabels=<int>            The number of different labels in training data, VOC has 21 labels, including background [default: 21]
    --LISTpath=<str>            Input image number list file [default: data/list/train_aug.txt]
    --lr=<float>                Learning Rate [default: 0.00025]
    -i, --iterSize=<int>        Num iters to accumulate gradients over [default: 10]
    --wtDecay=<float>           Weight decay during training [default: 0.0005]
    --gpu0=<int>                GPU number [default: 0]
    --maxIter=<int>             Maximum number of iterations [default: 20000]

Is it possible to debug the code when docopt is used?