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License: MIT License
Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS
License: MIT License
Hi,
We found the code about the autonomous driving indoor which is very useful for us. We appreciate it.
However, we found that in the car_model.py, the type of y_ is a [none, 1] tensor. While the label (y) should be a 2-dimentional array which includes throttle and steering. So could you explain us how to get the throttle and steering at the same time when doing the inference use the model?
Thanks a lot.
Best.
Could you please explain how to collect the steering angle and throttle during the manual driving for training? Is there special API supported by the hardware?
Merge preinstall and build/patch kernel as one package
#!/bin/bash
## Add repositories and install chromium
sudo apt-add-repository universe
sudo apt-add-repository multiverse
sudo apt-add-repository restricted
sudo apt-get update
sudo apt-get upgrade
sudo apt-get install chromium-browser
# Kernel and Module Build
cd $HOME
git clone https://github.com/jetsonhacks/buildJetsonTX1Kernel.git
cd buildJetsonTX1Kernel
./getKernelSources.sh
./patchAndBuildKernel.sh
./copyImage.sh
Dear Tobias,
I wonder how you could install Teensy on Jetson TX1. I am trying to do the same, however, Teensy 3.2 does not support AARCH 64 architecture yet..
Thanks!!
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