Why are all the predicted data sets black? about semantic-segmentation-tensorflow-eager

[Shathe]

Can it be that the otput values are from the value 0 to the value n_classes? That may be the reason for seeing it black, that the values are very low

[zhenyangGao]

I use my own dataset, the input image is an RGB image, and the label is a binary image of 0 and 255.

1. During training, I just want to try it, epoch=10, is the epoch I gave too small?
2. The input image is RGB image is jpg format, the label is png format, is it caused by two different formats?
3. There are only a few training sets and test sets, only 10.
4. Does the channels variable in the loder function affect the binary image of the label?
   I am still testing, I hope to get your help! Thank you
   I still tested the image with the cityscapes RGB annotation, and the output is only grayed out. The previously tested dataset and epoch are relatively small. I will continue to try to increase the two and continue to try.

[zhenyangGao]

I solve it，thanks.

[Shathe]

Sorry, I had not time to reply so far. What was it?