NVIDIA TK1 Brush Machine record (1) Ubuntu 14.04

First, declare:

(Note: From: Efforts more than-bruce, reproduced please indicate the source)

(1) Learn TK1 board, must not fear toss,

(2) did not learn the embedded will not become a hindrance to your learning TK1 board obstacles, but must learn the Linux Basic command, this is the foundation, otherwise you are wrong where you do not know.

(3) Then is the English must conquer, four level did not have the matter, but must insist, I in the study TLD algorithm and Cuda's time is all English, as a student, I am willing to toss, I want to tell read this blog schoolmate, you must learn is how to obtain the knowledge, but is not the knowledge simple paste copy. I do these in the laboratory, the teacher does not understand, all from scratch, the university two years of self-learning process told me, as long as you want to learn, nothing can stop you study, do not do is because you do not realize, nonsense less, into the topic.

Pre-Preparation:

Http://elinux.org/Main_Page

opencv.org

Https://developer.nvidia.com/embedded/jetpack

Above three website to be good at using, inside matter not to ask Baidu, foreign affairs question Google. Good at using the handbook, to see the best English, authentic.

1. Drive

tegra124_linux_r21.4.0_armhf.tbz2

Download: http://developer.download.nvidia.com/embedded/L4T/r21_Release_v4.0/Tegra124_Linux_R21.4.0_armhf.tbz2

tegra_linux_sample-root-filesystem_r21.4.0_armhf.tbz2

Download: http://developer.download.nvidia.com/embedded/L4T/r21_Release_v4.0/Tegra_Linux_Sample-Root-Filesystem_ r21.4.0_armhf.tbz2

2. Extract the above two packages, either on a virtual machine or on a PC,

1.sudo Tar--numeric-owner-jxpf tegra124_linux_r21.3.0_armhf.tbz2

(You've learned the basics of Linux here by default)

2. Generate a Linux_for_tegra folder.

CD Linux_for_tegra

3. Go to the Rootfs folder

CD Rootfs

4. Unzip

sudo tar--numeric-owner-jxpf. /.. /tegra_linux_sample-root-filesystem_r21.4.0_armhf.tbz2

When the decompression is done, you can take a look, he is the root of the future TK1 board

5. Then go back to the previous level folder, which is under the Linux_for_tegra file. Execute the installation script, Terminal command: sudo./apply_binaries.sh

3. The next step is to brush the system you just unzipped into the TK1 board.

Brush the line, USB plug on the Ubuntu pc, the small head inserted on the TK1, that is, the mouth next to the headphone port. TK1 There are three buttons, the most left is the power, the middle is reset, the right is the force Recoverry, press and hold the right Force Recoverry button do not let go, and then press the middle of the reset key, the light will flash, the board will restart into the brush mode. (If you are using a virtual machine, make sure that USB is connected, such as VMware menu-Virtual machine-Removable device-(find TK1 device)-connect). Then on Ubuntu pc, the current directory, which is the Linux_for_tegra directory, executes the terminal command:

sudo./flash.sh-s 14GiB jetson-tk1mmcblk0p1 (Note: Here 14G you can change size to see your own needs, this 14G is the size of your system after you brush into the system. Recommended at least 8G, can be extended)

Note: If you are using a virtual machine, make sure that the driver for the TK1 board is connected, otherwise it will not succeed.

Write this piece first, follow up, go to class

NVIDIA TK1 Brush Machine record (1) Ubuntu 14.04