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image I run the demo on colab, config file is v2, but cannot get the results same as you. “show_result_pyplot” cannot get the input ('Bordered', 'cell', 'Borderless') in mmdetection2. can anyone give me some suggestions?

Issue Analytics

  • State:open
  • Created 3 years ago
  • Comments:5 (3 by maintainers)

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francescoperessinicommented, Jan 2, 2021

@Andrew05200 I think the problem is due to the outdated version of the checkpoint. There is a tool to convert the checkpoint (https://github.com/open-mmlab/mmdetection/blob/master/tools/upgrade_model_version.py) to be correctly used with mmdetection2 but I was unable to use it. Let me know if you are able to do it!

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francescoperessinicommented, Mar 24, 2021

Hi @francescoperessini,

I was able to get rectangles on a right place after model update, however my annotations are still wrong. Any ideas, how to fix this? Thanks a lot for help. Capture

Hi @Franky-Cranky,

you can easily change the classes’ labels by modifying the parameter model.CLASSES, assigning it a new list of values; for example:

model.CLASSES = ['Bordered', 'cell', 'Borderless']  

I don’t remember the three labels’ exact order; you have to try!

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