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loss: nan - dice_coef: nan - dice_coef_rounded: nan - binary_crossentropy: nan - val_loss: nan - val_dice_coef: nan - val_dice_coef_rounded: nan - val_binary_crossentropy: nan
The text was updated successfully, but these errors were encountered:
It may cause by an incorrect image you read in when it's at the batch normalization, see this stackoverflow issue.
I've seen this error before and vaguely remember that I did not read the dataset correctly, @AhmadAmmar. Please make sure either your RGB or label images aren't empty and can be viewed correctly.
And the label/mask data need to be in png format, see this line. If you want to use other image formats, please use this function in the utils.
Loss and accuracy parameters just say NaN
loss: nan - dice_coef: nan - dice_coef_rounded: nan - binary_crossentropy: nan - val_loss: nan - val_dice_coef: nan - val_dice_coef_rounded: nan - val_binary_crossentropy: nan
The text was updated successfully, but these errors were encountered: