| #!/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"" |
| #!/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 |
| #!/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 |
| #!/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"" |
| #!/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"" |
| #!/bin/sh | |
| # Install and compile Caffe on NVIDIA Jetson TK1 Development Kit | |
| sudo add-apt-repository universe | |
| sudo apt-get update | |
| sudo apt-get install libprotobuf-dev protobuf-compiler gfortran \ | |
| libboost-dev cmake libleveldb-dev libsnappy-dev \ | |
| libboost-thread-dev libboost-system-dev \ | |
| libatlas-base-dev libhdf5-serial-dev libgflags-dev \ | |
| libgoogle-glog-dev liblmdb-dev -y |
| #!/bin/sh | |
| # Get and install OpenCV for Tegra | |
| # Linux for Tegra (LT4) 21.1 and CUDA 6.5 *must* be installed on the Jetson before installation! | |
| wget http://developer.download.nvidia.com/embedded/OpenCV/L4T_21.1/libopencv4tegra-repo_l4t-r21_2.4.10.1_armhf.deb | |
| sudo dpkg -i libopencv4tegra-repo_l4t-r21_2.4.10.1_armhf.deb | |
| sudo apt-get update | |
| sudo apt-get install libopencv4tegra libopencv4tegra-dev |
| #!/bin/sh | |
| # Set CPU to full performance on NVIDIA Jetson TK1 Development Kit | |
| if [ $(id -u) != 0 ]; then | |
| echo "This script requires root permissions" | |
| echo "$ sudo "$0"" | |
| exit | |
| fi | |
| # To obtain full performance on the CPU (eg: for performance measurements or benchmarking or when you don't care about power draw), you can disable CPU scaling and force the 4 main CPU cores to always run at max performance until reboot: |
| #!/bin/sh | |
| # Fresh install for CUDA 6.5 on Jetson TK1 for Linux for Tegra (L4T) 21.1 | |
| # CUDA 6.5 REQUIRES L4T 21.1 !!! | |
| sudo apt-add-repository universe | |
| sudo apt-get update | |
| # This is for L4T r21.1 ; Update for your L4T i.e. r21.3 | |
| wget http://developer.download.nvidia.com/compute/cuda/6_5/rel/installers/cuda-repo-l4t-r21.1-6-5-prod_6.5-14_armhf.deb | |
| # Install the CUDA repo metadata that you downloaded | |
| # This is for L4T 21.1 ; Update for your L4T i.e. 21.3 |
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: