Jetson inference image segmentation result different from DIGIT

I follow the sky-terrain segmentation example here(, train a segnet with DIGIT in my PC and deploy the net with jetson inference. But i get different result between DIGIT and jetson-inference with the same input image. The segmented boundary is zigzag in jetson-inference while it is smooth in DIGIT.

  1. How can i get the same segmentation result in TX2?
  2. I notice that i delete the deconv and crop layers and on line 24 of deploy.prototxt, change pad: 100 to pad: 0. I guess that might be the reason for the difference. What’s that for?
  3. Are there any python script for inferring segnet?

@AastaLLL Could you please answer these? Thank you


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