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I got an error while running first evaluate.ipynb and then train.ipynb that PRE_NMS_LIMIT is not defined in the model.py. I have found in the original Mask R-CNN implementation that it should be set to 6000. You should add the parameter to avoid the error to both files.
The text was updated successfully, but these errors were encountered:
It seems you are using a more recent version of the Matterport Mask R-CNN than included in the repo. The PRE_NMS_LIMIT was fixed to 6000 back then. Can you test if any other things fail with the newer version of Mask R-CNN? If this is the only thing we have to change I am happy to add this.
The problem with PRE_NMS_LIMIT should be fixed with commit 2a677a9. Now the settings from the original Config class from Mask_RCNN/mrcnn/config.py are inherited.
I got an error while running first evaluate.ipynb and then train.ipynb that PRE_NMS_LIMIT is not defined in the model.py. I have found in the original Mask R-CNN implementation that it should be set to 6000. You should add the parameter to avoid the error to both files.
The text was updated successfully, but these errors were encountered: