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This repository has been archived by the owner on Oct 31, 2023. It is now read-only.
Can I run mask rcnn or cascade mask rcnn ConvNeXt training with a custom dataset that has no segmentation images, only markup with object detection? I am getting an error related to masks on startup even when setting the with_mask=False flag in the config files -> "KeyError: 'qt_masks' ".
The text was updated successfully, but these errors were encountered:
Hello, have you addressed this problem? During inference, how can I get only the bbox results?
Can I run mask rcnn or cascade mask rcnn ConvNeXt training with a custom dataset that has no segmentation images, only markup with object detection? I am getting an error related to masks on startup even when setting the with_mask=False flag in the config files -> "KeyError: 'qt_masks' ".
Can I run mask rcnn or cascade mask rcnn ConvNeXt training with a custom dataset that has no segmentation images, only markup with object detection? I am getting an error related to masks on startup even when setting the with_mask=False flag in the config files -> "KeyError: 'qt_masks' ".
The text was updated successfully, but these errors were encountered: