Skip to content

Instantly share code, notes, and snippets.

Jetsonhacks jetsonhacks

Block or report user

Report or block jetsonhacks

Hide content and notifications from this user.

Learn more about blocking users

Contact Support about this user’s behavior.

Learn more about reporting abuse

Report abuse
View GitHub Profile
@jetsonhacks
jetsonhacks / getJetsonTFBuild.sh
Last active Dec 18, 2018
Get the JasonAtNVIDIA JetsonTFBuild scripts without the wheel files
View getJetsonTFBuild.sh
#!/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
jetsonhacks / CannyDetection.py
Last active Aug 22, 2019
Python OpenCV 3.3 NVIDIA Jetson TX example for built-in camera; L4T 28.1
View CannyDetection.py
#!/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
View gist:acb8cc60a06e3e86defaa7fff470a8d4
#!/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
jetsonhacks / installiTorch.sh
Last active Aug 31, 2019
Install iTorch and prerequisites
View installiTorch.sh
#!/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
View installiTorchPrerequisites.sh
#!/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
View installcuDNNV2.sh
#!/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
jetsonhacks / installLibfreenect2.sh
Last active Apr 29, 2018
Install libfreenect2 on the Jetson TK1
View installLibfreenect2.sh
#!/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
jetsonhacks / installJedroid.sh
Last active Nov 15, 2019
Install Jedroid onto SD card - NVIDIA Jetson TK1
View installJedroid.sh
#!/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
@jetsonhacks
jetsonhacks / installcuDNNR1.sh
Created Jan 20, 2015
install cuDNN Release candidate 1
View installcuDNNR1.sh
#!/bin/sh
# Install cuDNN R1 on NVIDIA Jetson TK1
# Register as a NVIDIA developer and download the cuDNN package
# Package is named cudnn-6.5-linux-armv7-R1.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
jetsonhacks / installcuDNNR2.sh
Last active Mar 8, 2017
NVIDIA Jetson TK1 - Install cuDNN R2
View installcuDNNR2.sh
#!/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""
You can’t perform that action at this time.