This document describes how to create TrailNet model from scratch using NVIDIA DIGITS.
First, we need to create a dataset in DIGITS. Follow the steps in this document.
The IDISA Forest Trail dataset is publicly available here. Follow the steps in this document.
For our dataset (Zografou University Campus) follow the steps in this document.
Once the dataset is created, the model can be trained and fine-tuned using DIGITS. Follow the steps in this document.
Once the model is trained, resulting .prototxt
and .caffemodel
files can be used by ROS nodes running on Jetson.
You can also use pre-trained models as described in here. AriadneNet is our trained model based on the TrailNet architecture.
The architecture used for our trail following DNN, the AriadneNet, is based on TrailNet. More information can be found here.