Comments (3)
We use the same preprocessing during pretraining as during training. Images are therefore only centered around zero by subtracting the coco mean but not scaled. The corresponding function is mold_image
in lib/Mask_RCNN/mrcnn/model.py
.
from siamese-mask-rcnn.
Thanks a lot!! Really appreciate your quick response!
from siamese-mask-rcnn.
Happy that I was able to help!
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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