atanas1054

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![000060](https://cloud.githubusercontent.com/assets/9679721/23824095/b82a1f6c-0670-11e7-8cf9-c7068ba136fe.png) ![000060_kitti](https://cloud.githubusercontent.com/assets/9679721/23824096/c0849980-0670-11e7-9bd0-ffc36026c1c9.png) Example result on Kitti dataset (validation set).

During training, the labels are one channel images.

Hey @selcuksandikci , Can you please share the steps you took to train it? Or share the train prototxt? I am trying to follow the steps from the tutorial but...

@selcuksandikci Thank you for your reply. That was exactly what I was looking for. Have you managed to solve the problem with the "void" regions? If yes, can you please...

Is there any other method which uses ResNet as well? (apart from deeplab)

I have my own trained logistic model which is applied to this vector. I can deal with that no problem.

It's a function which returns a value between 0 and 1 depending on who is winning. Can I get some help with the implementation of the State class? I guess...

Any help on this one?

Can confirm the same. @atonderski which neurad-studio commit did you use?

Trying to build the docker image using the dockerfile from neurad c7f626b results in errors. @ghimiremukesh were you able to solve it?