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I had the same problem, but it turned out that the problem was that I was using an "old" version of Anomalib when I followed the "new" config structures. For example, the new mask parameter name is "mask_dir", while the old version was only "mask". You might just need to make sure you are using the right version of Anomalib. |
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I am trying to run the library on a custom dataset. I have created the config file, following this. However when I create
datamodule = get_datamodule(config)
, I get this errorConfigAttributeError: Missing key mask_dir full_key: dataset.mask_dir object_type=dict
, even though I have specified the task is classification, and the mask is optional. Any resolving ideas? Thanks!Beta Was this translation helpful? Give feedback.
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