runtime error

[EEngl52]

Trying to run ocrd-typegroups-classifier gives me this runtime error:

/test/data/1544_1$ ocrd-typegroups-classifier -I OCR-D-BIN -O OCR-D-TYPE -p '{"network": "/home/habocr/newinstallation/ocrd_all/ocrd_typegroups_classifier/ocrd_typegroups_classifier/models/classifier.tgc", "stride": 112}'
11:47:43.190 INFO ocrd_typegroups_classifier - Processing: 0 / P_bsb00028199_00013
Traceback (most recent call last):
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/bin/ocrd-typegroups-classifier", line 8, in <module>
    sys.exit(cli())
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/click/core.py", line 829, in __call__
    return self.main(*args, **kwargs)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/click/core.py", line 782, in main
    rv = self.invoke(ctx)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/click/core.py", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/click/core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/ocrd_typegroups_classifier/cli/ocrd_cli.py", line 15, in cli
    return ocrd_cli_wrap_processor(TypegroupsClassifierProcessor, *args, **kwargs)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/ocrd/decorators.py", line 102, in ocrd_cli_wrap_processor
    run_processor(processorClass, ocrd_tool, mets, workspace=workspace, **kwargs)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/ocrd/processor/base.py", line 61, in run_processor
    processor.process()
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/ocrd_typegroups_classifier/processor.py", line 41, in process
    result = classifier.run(pil_image, stride)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/ocrd_typegroups_classifier/typegroups_classifier.py", line 125, in run
    return self.classify(pil_image, stride, batch_size, score_as_key)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/ocrd_typegroups_classifier/typegroups_classifier.py", line 168, in classify
    out = self.network(tensors)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/ocrd_typegroups_classifier/network/densenet.py", line 118, in forward
    features = self.features(x)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/torch/nn/modules/container.py", line 117, in forward
    input = module(input)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 419, in forward
    return self._conv_forward(input, self.weight)
  File "/home/habocr/newinstallation/ocrd_all/venv/local/sub-venv/headless-torch14/lib/python3.6/site-packages/torch/nn/modules/conv.py", line 416, in _conv_forward
    self.padding, self.dilation, self.groups)
RuntimeError: Given groups=1, weight of size [64, 3, 7, 7], expected input[32, 1, 224, 224] to have 3 channels, but got 1 channels instead

What am I doing wrong?

[EEngl52]

tried it again with RGB images, works perfectly fine now. thx for the hint! Could you please document in your Readme not to use binarized images as input?