TwoImageData about segaware HOT 6 OPEN

The closed session part has the same question you asked.

from segaware.

You can swap TwoImageData with ImageSegData in the prototxt. See the "res" example to see how to use ImageSegData.
I didn't mean to close the first issue before actually fixing the prototxt. I'll leave this one open until I really fix.

from segaware.

Thanks for your reply, but I encountered a problem:
When I train vgg network using VOC2012, the loss cannot converge and output is always zero. So the network does not learn from the datasets, how to solve this problem?

from segaware.

I have the same problem, which init caffemodel did you use? I have also found that with batch size: 1, the loss vibrate lot. It seems that the net can not convergent with batch size: 1

from segaware.

I think it is the large network that results to hard training. I use deeplab init model.

from segaware.

I have found the problem is that when you change TwoImageData to ImageSegData, you need to add labe_type: PIXEL/NONE to image_data_param and also top: "data_dim" to layer. I have added a silence layer to ignore information form data_dim. But adding a silence layer may not be necessary.

from segaware.