Comments (4)
michaelisc
commented on May 25, 2024
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.
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yuriyOn
commented on May 25, 2024
Another problem is listed in issue #1 and it is solved by replacing the Mask_RCNN directory with the latest version.
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michaelisc
commented on May 25, 2024
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.
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michaelisc
commented on May 25, 2024
We should still update lib/Mask_RCNN. See issue #5
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Related Issues (20)
- error when loading dataset HOT 2
- How to use the pretrained weights? HOT 5
- plz help HOT 5
- shape error HOT 1
- Problem with mask predictions HOT 17
- How to design the loss function？ HOT 4
- Multiple runs on training not evaluation HOT 2
- typo HOT 1
- Small typo HOT 1
- Dimension dismatch error when evaluate the retrained model for COCO, from epoch 2 HOT 2
- Problem with custom dataset HOT 8
- Under segmentation for close items HOT 4
- Performance is not as good as Mask RCNN when training on a small custom dataset HOT 1
- Modifications for training on custom dataset
- Test.ipynb
- One-Shot Detection - input_target shape Error HOT 3
- TypeError: unhashable type: 'ListWrapper' when try to train model HOT 1
- issue re-running
- Support for Tensorflow 2.4+ HOT 1
- Loading weights
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