Comments (2)
kanezaki
commented on July 3, 2024
2
Dear @JunMa11
Sorry for confusion, but the number of classes is actually not determined by SLIC. As you will see when you run the code, the number gradually decreases during training. The training stops when it reaches the minimum number of classes, which can be given by "--minLabels" command option. It is set to 3 by default, so I expect you would get your desired results by just running the code. :)
Best regards,
Asako
from pytorch-unsupervised-segmentation.
JunMa11
commented on July 3, 2024
Got it. Thanks for your reply very much.
from pytorch-unsupervised-segmentation.
Related Issues (12)
- a bug? HOT 3
- Error when executing the demo command HOT 2
- Training & Saving Model HOT 1
- Can this segmentation be extended for 3D images? HOT 1
- Precision-recall curve
- a problem about about FCN
- Why is the same color getting assigned to different regions of the an image? HOT 5
- Inappropriate results HOT 4
- Configuration for best average precision score HOT 1
- deleted
- Need scikit-image as dependency HOT 1
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from pytorch-unsupervised-segmentation.