JetsonHacks jetsonhacks

Code for NVIDIA Jetson Developer Kits. Please note that Jetson Nano code is on https://github.com/jetsonhacksnano

jetsonhacks / Dockerfile.oceanfft

Last active June 21, 2020 04:16

Dockerfile to build image for oceanfft container

	# Copyright (c) 2020, JetsonHacks. All rights reserved.
	#
	# Permission is hereby granted, free of charge, to any person obtaining a
	# copy of this software and associated documentation files (the "Software"),
	# to deal in the Software without restriction, including without limitation
	# the rights to use, copy, modify, merge, publish, distribute, sublicense,
	# and/or sell copies of the Software, and to permit persons to whom the
	# Software is furnished to do so, subject to the following conditions:
	#
	# The above copyright notice and this permission notice shall be included in

jetsonhacks / Dockerfile.nbody

Last active June 21, 2020 04:54

Dockerfile for building simple nbody demo on Jetson

	# Copyright (c) 2020, JetsonHacks. All rights reserved.
	#
	# Permission is hereby granted, free of charge, to any person obtaining a
	# copy of this software and associated documentation files (the "Software"),
	# to deal in the Software without restriction, including without limitation
	# the rights to use, copy, modify, merge, publish, distribute, sublicense,
	# and/or sell copies of the Software, and to permit persons to whom the
	# Software is furnished to do so, subject to the following conditions:
	#
	# The above copyright notice and this permission notice shall be included in

jetsonhacks / getJetsonTFBuild.sh

Last active December 18, 2018 15:10

Get the JasonAtNVIDIA JetsonTFBuild scripts without the wheel files

	#!/bin/bash
	cd $HOME
	# Get TensorFlow build scripts from JasonAtNvidia JetsonTFBuild repository
	git clone --no-checkout https://github.com/JasonAtNvidia/JetsonTFBuild.git
	cd JetsonTFBuild
	# Sparse checkout tells git not to checkout the wheels directory
	# where all of the .whl files are kept
	git config core.sparsecheckout true
	# Do not checkout the wheels directory
	echo '!wheels/*' >> .git/info/sparse-checkout

jetsonhacks / CannyDetection.py

Last active June 24, 2020 15:52

Python OpenCV 3.3 NVIDIA Jetson TX example for built-in camera; L4T 28.1

	#!/usr/bin/env python
	# MIT License

	# Copyright (c) 2017 Jetsonhacks

	# Permission is hereby granted, free of charge, to any person obtaining a copy
	# of this software and associated documentation files (the "Software"), to deal
	# in the Software without restriction, including without limitation the rights
	# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	# copies of the Software, and to permit persons to whom the Software is

jetsonhacks / gist:acb8cc60a06e3e86defaa7fff470a8d4

Created September 8, 2016 22:36

Load ROS Rviz on Jetson TK1

	#!/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 / installiTorch.sh

Last active August 31, 2019 04:42

Install iTorch and prerequisites

	#!/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)
	# Python 2.7 or greater must be installed before running this script
	# Torch 7 should already be installed before running this script
	# iPython is loaded using pip, as repository version is 1.x version, > 2.0 is needed
	# Need to compile from source as repository version libzmq3-dev is not the correct revision
	wget http://download.zeromq.org/zeromq-4.0.5.tar.gz
	tar xzvf zeromq-4.0.5.tar.gz

jetsonhacks / installiTorchPrerequisites.sh

Created May 18, 2015 17:35

	#!/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 / installcuDNNV2.sh

Last active April 10, 2016 07:44

	#!/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 / installLibfreenect2.sh

Last active April 29, 2018 14:26

Install libfreenect2 on the Jetson TK1

	#!/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

jetsonhacks / installJedroid.sh

Last active March 21, 2023 15:47

Install Jedroid onto SD card - NVIDIA Jetson TK1

	#!/bin/sh
	# Install Jedroid 1.3 on SD card
	# Assumes a blank Ext4 formatted SD card is in the card reader
	# The SD Card is not mounted
	sudo mkdir /media/ubuntu/jedroidInstall
	sudo mount -t ext4 /dev/mmcblk1p1 /media/ubuntu/jedroidInstall
	# Get Jedroid 1.3 from Google Drives
	cd ~/Downloads
	wget -O jedroid_v1.31.tar.bz2 https://googledrive.com/host/0B-lsw7HiSbj8cHJNTmF2RUV6RVE
	wget -O jedroid_v1.31.tar.bz2.md5sum https://googledrive.com/host/0B-lsw7HiSbj8T2xFdjZFY0VadXM