jetsonhacks

To prep for building:

$ export MAKEFLAGS="-j4 -s PLATFORM_VARIANT=jetson"

jetsonhacks

Before you begin, ensure that you've setup network access, either with ethernet or wlan.

Setup timezone

sudo dpkg-reconfigure tzdata

Typically we use "US/Pacific-New"

Mount sdcard

jetsonhacks

#!/bin/sh
# Video Mixer example 
# 3 MPEG IPCAMS and local webcam
# Webcam is MJPEG 1280x720
JPEG_DEC="jpegparse ! queue ! jpegdec"
VID_SPEC="videorate ! videoscale ! video/x-raw-yuv,framerate=30/1,width=960,height=540"
NVVIDCONV="queue ! nvvidconv"
VELEM="v4l2src device=/dev/video0" #video0 is a Logitech c920 webcam with built-in H.264 compression & MJPEG
VCAPS="image/jpeg, width=1280, height=720, framerate=30/1"
# Video Source

jetsonhacks

#!/bin/sh
# Install Python prerequisites on NVIDIA Jetson TK1 for iTorch
# This is for https://github.com/facebook/iTorch
# L4T 21.3, Torch 7 (http://torch.ch)
# iPython is loaded using pip, as repository version is 1.x version, > 2.0 is needed
if [ $(id -u) != 0 ]; then
  echo "This script requires root permissions"
  echo "$ sudo "$0""
  exit
fi

jetsonhacks

Linux for Tegra (LT4) uses UBoot as its bootloader, replacing fastboot. In order to enable the full size USB port as 3.0, you can change the boot configuration file on the Jetson.

The boot configuration file is located here:

/boot/extlinux/extlinux.conf

There are several example configuration files in that directory which define how to boot from different devices.

The switch to change is:

jetsonhacks

#!/bin/sh
# Add some niceties for a new NVIDIA Jetson TK1 - LT 19.3
# Installs Chromium, git and aptitude
# Mark this file as executable in the permissions are of the properties dialog then
# $ sudo ./configureJetson.sh 

# Don't allow apt-get upgrade of xorg overwrite libglx.so
# May be fixed in future versions of LT4
sudo apt-mark hold xserver-xorg-core

jetsonhacks

#!/bin/sh
# Install cuDNN V2 on NVIDIA Jetson TK1
# Register as a NVIDIA developer and download the cuDNN package
# Package is named cudnn-6.5-linux-ARMv7-V2.tgz
# This script and the cuDNN package should be in the same directory, usually ~/Downloads
# This script places the library and include files for cudnn in the CUDA 6.5 directories
# Make sure this is executing as root
if [ $(id -u) != 0 ]; then
  echo "This script requires root permissions"
  echo "$ sudo "$0""

jetsonhacks

#!/bin/bash
# Install rviz on the NVIDIA Jetson TK1
# Requires unsetting the GTK_IM_MODULE to avoid pcre conflict
# 9-8-2016
sudo apt-get install ros-indigo-rviz
sudo apt-get install ros-indigo-robot-model
echo "unset GTK_IM_MODULE" >> ~/.bashrc
source ~/.bashrc

jetsonhacks

#!/bin/sh
# Install cuDNN R2 on NVIDIA Jetson TK1
# Register as a NVIDIA developer and download the cuDNN package
# Package is named cudnn-6.5-linux-ARMv7-R2-rc1.tgz
# This script and the cuDNN package should be in the same directory, usually ~/Downloads
# This script places the library and include files for cudnn in the CUDA 6.5 directories
# Make sure this is executing as root
if [ $(id -u) != 0 ]; then
  echo "This script requires root permissions"
  echo "$ sudo "$0""

jetsonhacks

#!/bin/sh
#from https://github.com/xlz/libfreenect2/wiki/Jetson-TK1-HOWTO

# Install Prerequisites
#opencv-dev -> opencv4tegra-dev -> already installed from Jetpack
sudo apt-get install -y build-essential libturbojpeg libtool autoconf libudev-dev cmake mesa-common-dev freeglut3-dev libxrandr-dev doxygen libxi-dev libjpeg-turbo8-dev

# Get libfreenect2
git clone https://github.com/jetsonhacks/libfreenect2.git
# Copy nv_headers into libfreenect2/depends