Comments (2)
michaelisc
commented on May 23, 2024
We have models with two different input sizes in this repository. The train.ipynb model with 512px size and the models in experiments which have the default input size of 1024px. The latter are the more relevant models and thus the config.py should stay the same. However the config in the small models config should be changed. Thanks for catching this mistake!
from siamese-mask-rcnn.
michaelisc
commented on May 23, 2024
I just saw, that we set the default input size to 512px in the config.py. I think we should clean this up to make it less confusing for everyone. So thanks again for the catch!
from siamese-mask-rcnn.
Related Issues (20)
- 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
- Why are model loading and inference times so slow?
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