^{Semantic Segmentation}</s></p>

Running Segmentation Models on Jetson

To test a custom segmentation network model snapshot on the Jetson, use the command line interface to segnet-console

First, for convienience, set the path to your extracted snapshot into a $NET variable:

$ NET=20170421-122956-f7c0_epoch_5.0

$ ./segnet-console drone_0428.png output_0428.png \
--prototxt=$NET/deploy.prototxt \
--model=$NET/snapshot_iter_22610.caffemodel \
--labels=$NET/fpv-labels.txt \
--colors=$NET/fpv-deploy-colors.txt \
--input_blob=data \ 
--output_blob=score_fr

This runs the specified segmentation model on a test image downloaded with the repo.

In addition to the aerial model from this tutorial, the repo also includes pre-trained models on other segmentation datasets, including Cityscapes, SYNTHIA, and Pascal-VOC.