hi train with my own data

[zhangyunming]

i train the v3 with my own data that with lables 0:backgrounbd and 1:portrait, just two classes ,so the n_classes=1 , but you masks labels are 1-255 , and my train loss is not change and the test result are all black 0 . so how can i do .thanks

[zhangyunming]

the bug is ok.its similar with pytorch-unet

[avBuffer]

hey, you maybe change into UNet2plus to try. If the error is same, there is wrong in your data or using loss function. Else there is wrong in UNet3plus model structure.

[avBuffer]

Hey,thanks! I tried it and found the training loss was changed after about 18 steps. In fact, from step-0 to step-17, the training loss had a bit a bit changed. You maybe train a long steps.

[jialeqaq]

I train myself on data, DICE is low and constant, how do I solve it

[jialeqaq]

i train the v3 with my own data that with lables 0:backgrounbd and 1:portrait, just two classes ,so the n_classes=1 , but you masks labels are 1-255 , and my train loss is not change and the test result are all black 0 . so how can i do .thanks

hello，why my training data DICE is very low and the more I train, the worse it gets