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I am trying to train with ResNest101, and I also added affinity and RW.
When I try to train, it runs according to the specified code. It is found that the obtained affinity labels are not effective, and the effect of pseudo_labels is almost invisible, which is close to the effect of all black. I don't know where the problem is, who can explain the details. help!
The text was updated successfully, but these errors were encountered:
I guess for the question "pseudo_labels is almost invisible", the reason maybe it generates binary segmentation masks which is a gary image. It is hard to see pixels in black background.
You can use its trained model to get pseudo_labels to check if there is something wrong.
I am trying to train with ResNest101, and I also added affinity and RW.
When I try to train, it runs according to the specified code. It is found that the obtained affinity labels are not effective, and the effect of pseudo_labels is almost invisible, which is close to the effect of all black. I don't know where the problem is, who can explain the details. help!
The text was updated successfully, but these errors were encountered: