Jetson: Difference between revisions
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* Jetson nano https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/. | * Jetson nano https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/. | ||
* https://developer.nvidia.com/embedded/jetson-modules | * https://developer.nvidia.com/embedded/jetson-modules | ||
* CPU Tegra X1 4x A57 @ 1.43 GHz (ARMv8), GPU 128 cores of Maxwell generation @ 921 MHz (cf [https://smile.amazon.com/EVGA-GeForce-Profile-Graphic-02G-P4-6333-KR/dp/B071LGVBDM/ GeForce GT 1030 SC 2GB GDDR5 Low Profile Graphic Cards] has 384 CUDA cores) | * CPU Tegra X1 4x A57 @ 1.43 GHz (ARMv8), GPU 128 CUDA cores of Maxwell generation @ 921 MHz (cf [https://smile.amazon.com/EVGA-GeForce-Profile-Graphic-02G-P4-6333-KR/dp/B071LGVBDM/ GeForce GT 1030 SC 2GB GDDR5 Low Profile Graphic Cards] has 384 CUDA cores) | ||
* https://en.wikipedia.org/wiki/Nvidia_Jetson | * https://en.wikipedia.org/wiki/Nvidia_Jetson | ||
* https://elinux.org/Jetson_Nano | * https://elinux.org/Jetson_Nano | ||
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== Vs Raspberry Pi 4 == | == Vs Raspberry Pi 4 == | ||
The two motherboard are similar:new Raspberry Pi has the same arch and almost the same processor (nvidia one is older). [https://forums.developer.nvidia.com/t/vlc-doesnt-work-on-nvidia-jetson-nano/77353 VLC doesn’t work on Nvidia Jetson Nano] | * The two motherboard are similar:new Raspberry Pi has the same arch and almost the same processor (nvidia one is older). [https://forums.developer.nvidia.com/t/vlc-doesnt-work-on-nvidia-jetson-nano/77353 VLC doesn’t work on Nvidia Jetson Nano] | ||
* [https://www.sunthen.com/blog/Raspberry-Pi-4-vs-NVIDIA-Jetson-Nano Raspberry Pi 4 vs NVIDIA Jetson Nano, Which one is better for your project?] Note that both can handle H265 (4k 60fps) | |||
* No, the Raspberry Pi does not support hardware decoding for the VP9 codec. Note that for 4K videos, '''Raspberry Pi 4B hardware supports only H265 (HEVC) codec'''. You can use a media player like VLC or Kodi to play a 4K 60fps video file. Make sure the video file is encoded with the H265 codec. This means that while it can technically decode '''VP9 video''', it must do so using software decoding, which is much less efficient and may not be able to handle 4K video at 60fps. | |||
* [https://www.makeuseof.com/run-your-raspberry-pi-at-4k-60hz/ Run Your Raspberry Pi at 4K 60Hz]. Note that you still won't be able to select 4K resolution for YouTube videos in the Chromium web browser. Nor can you play 4K 60Hz videos in the VLC multimedia player from the desktop. However, you should be able to play compatible 4K 60Hz HEVC videos in the Kodi media player if you have it installed. | |||
== CVE == | |||
* [https://nvidia.custhelp.com/app/answers/detail/a_id/5555/~/security-bulletin Security Bulletin: NVIDIA Jetson AGX Xavier Series, Jetson Xavier NX, Jetson TX1, Jetson TX2 Series (including Jetson TX2 NX), and Jetson Nano (including Jetson Nano 2GB) - July 2024] | |||
** [https://www.ithome.com.tw/news/164198 Nvidia修補Jetson單板電腦作業系統的高風險漏洞] CVE-2024-0108. 执行Jetson Linux操作系统32.7.4版以前的Nvidia单板计算机,均受此漏洞影响. | |||
** [https://www.scmagazine.com/news/nvidia-patches-flaw-in-jetson-software-used-in-ai-powered-systems NVIDIA patches flaw in Jetson software used in AI-powered systems]. | |||
= Get started = | = Get started = | ||
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== Fan == | == Fan == | ||
* [https://www.waveshare.com/wiki/Fan-4020-PWM-5V Fan-4020-PWM-5V] instruction from waveshare.com. | * [https://www.waveshare.com/wiki/Fan-4020-PWM-5V Fan-4020-PWM-5V] instruction from waveshare.com. (Cf '''DC fan'''. These fans use a three-pin connector with a power supply pin, a ground pin, and a signal pin. DC fans can either run at a constant speed or change speeds as controlled by the motherboard) | ||
* [https://www.amazon.com/Dedicated-Developer-Adjustment-40mm%C3%9740mm%C3%9720mm-Reverse-Proof/dp/B07TD2PCM5/ DC 5V Cooling Fan Compatible with NVIDIA Jetson Nano Developer Kit and B01 Version PWM Speed Adjustment Strong Cooling Air Fan 40mm×40mm×20mm with 4PIN Reverse-Proof Connector] & [https://www.amazon.com/dp/B07TC21414 2 pack] | * [https://www.amazon.com/Dedicated-Developer-Adjustment-40mm%C3%9740mm%C3%9720mm-Reverse-Proof/dp/B07TD2PCM5/ DC 5V Cooling Fan Compatible with NVIDIA Jetson Nano Developer Kit and B01 Version PWM Speed Adjustment Strong Cooling Air Fan 40mm×40mm×20mm with 4PIN Reverse-Proof Connector] & [https://www.amazon.com/dp/B07TC21414 2 pack] | ||
<pre> | <pre> | ||
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== Camera == | == Camera == | ||
[https://dmccreary.medium.com/getting-your-camera-working-on-the-nvida-nano-336b9ecfed3a Getting Your Camera Working on the Nvidia Nano] | <ul> | ||
<li> ''' ls -l /dev/video0 ''' | |||
<li>[https://forums.developer.nvidia.com/t/csi-camera-not-detected-on-jetson-nano/263243 CSI Camera Not Detected on Jetson Nano]. | |||
* [https://www.okdo.com/getting-started/get-started-with-jetson-nano-4gb-and-csi-camera/ Nano platform is by default support with Raspberry pi v2, imx219]. | |||
* [https://www.raspberrypi.com/products/camera-module-3/ Raspberry Pi Camera Module 3 Wide] (Sony IMX708 12-megapixel, 120 degrees, ultra fast auto focus, video up to 1080p50, 720p100) is not detected. | |||
* [https://github.com/JetsonHacksNano/CSI-Camera Check camera image capabilities], [https://www.mankier.com/1/v4l2-ctl v4l2-ctl - Man Page], [https://jetsonhacks.com/2022/02/02/in-practice-usb-cameras-on-jetson/ In Practice: USB Cameras on Jetson] - At its core, the Jetsons use the Linux kernel module Video Four Linux (version 2) (V4L2). | |||
:<syntaxhighlight lang='bash'> | |||
$ # sudo apt-get install v4l-utils | |||
$ v4l2-ctl --all # very detailed | |||
$ v4l2-ctl --list-device | |||
vi-output, imx219 6-0010 (platform:54080000.vi:0): | |||
/dev/video0 | |||
NVIDIA Tegra Video Input Device (platform:vi): | |||
/dev/media0 | |||
$ v4l2-ctl --list-formats-ext # list video formats | |||
ioctl: VIDIOC_ENUM_FMT | |||
Type: Video Capture | |||
[0]: 'RG10' (10-bit Bayer RGRG/GBGB) | |||
Size: Discrete 3264x2464 | |||
Interval: Discrete 0.048s (21.000 fps) | |||
Size: Discrete 3264x1848 | |||
Interval: Discrete 0.036s (28.000 fps) | |||
Size: Discrete 1920x1080 | |||
Interval: Discrete 0.033s (30.000 fps) | |||
Size: Discrete 1640x1232 | |||
Interval: Discrete 0.033s (30.000 fps) | |||
Size: Discrete 1280x720 | |||
Interval: Discrete 0.017s (60.000 fps) | |||
</syntaxhighlight> | |||
* [https://docs.arducam.com/Nvidia-Jetson-Camera/Introduction-to-Arducam-Jetson-Cameras/ Introduction to Arducam Jetson Cameras], [https://www.arducam.com/product/arducam-imx219-wide-angle-camera-module-for-nvidia-jetson-nano-raspberry-pi-compute-module-4-3-3-b0287/ Arducam IMX219 Camera Module with fisheye lens for NVIDIA® Jetson Nano/Xavier NX/AGX Orin/Orin Nano/Orin NX] supports Jetson nano but not RPi. | |||
<li>[https://forums.developer.nvidia.com/t/turn-on-off-csi-camera/140956 Turn on/off CSI camera] | |||
<pre> | |||
# echo 0 > /sys/kernel/debug/camera-video0/streaming | |||
</pre> | |||
<li>[https://dmccreary.medium.com/getting-your-camera-working-on-the-nvida-nano-336b9ecfed3a Getting Your Camera Working on the Nvidia Nano] | |||
{{Pre}} | |||
$ ls /dev/video0 | |||
$ export DISPLAY=:0 # IF WE USE SSH | |||
$ gst-launch-1.0 nvarguscamerasrc ! \ | |||
'video/x-raw(memory:NVMM),width=3820, height=2464, framerate=21/1, format=NV12' ! \ | |||
nvvidconv flip-method=0 ! 'video/x-raw,width=960, height=616' ! \ | |||
nvvidconv ! nvegltransform ! nveglglessink -e | |||
$ gst-launch-1.0 nvarguscamerasrc sensor_id=0 ! \ | |||
'video/x-raw(memory:NVMM),width=3280, height=2464, framerate=21/1, format=NV12' ! \ | |||
nvvidconv flip-method=2 ! 'video/x-raw, width=816, height=616' ! \ | |||
nvvidconv ! nvegltransform ! nveglglessink -e | |||
</pre> | |||
<li>[https://www.okdo.com/getting-started/get-started-with-jetson-nano-2gb-and-csi-camera/ Get Started with Jetson Nano 2GB and CSI Camera] | |||
<li>[https://developer.nvidia.com/embedded/learn/tutorials/first-picture-csi-usb-camera Taking Your First Picture with CSI or USB Camera]. | |||
<pre> | |||
nvgstcapture-1.0 --automate --capture-auto --image-res=4 -S 3 | |||
ls -lt # nvcamtest_XXXX_s00_00000.jpg | |||
# --capture-auto: Do image/video capture in automation mode for count number of times | |||
# -A, --automate: Run application in automation mode | |||
# default resolution is 640 x480; --image-res=2. | |||
# --image-res=4 gives 1920x1080. --image-res=3 gives 1280x720. | |||
# -S, --start-time: Start capture after specified time in seconds. Default = 5 sec (use with --automate or -A only) | |||
# -S 3: automatic after 3 seconds | |||
# --capture-time: Capture video for specified time in seconds. Default = 10 sec (use with --automate and --capture-auto only) | |||
$ nvgstcapture-1.0 --help | |||
... | |||
Supported resolutions in case of NvArgusCamera | |||
(2) : 640x480 | |||
(3) : 1280x720 | |||
(4) : 1920x1080 | |||
(5) : 2104x1560 | |||
(6) : 2592x1944 | |||
(7) : 2616x1472 | |||
(8) : 3840x2160 | |||
(9) : 3896x2192 | |||
(10): 4208x3120 | |||
(11): 5632x3168 | |||
(12): 5632x4224 | |||
</pre> | |||
* You can test if the camera is working by running this pipeline in your terminal: '''nvgstcapture-1.02'''. This command will start capture and preview display it on the screen. | |||
* Press 'j' to capture on image. Press 'q' to quit. | |||
* Press '1' to start video recording. Press '0' to stop recording. | |||
</ul> | |||
= Tips = | = Tips = | ||
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=== nvidia-smi === | === nvidia-smi === | ||
<ul> | |||
<li>[https://forums.developer.nvidia.com/t/command-nvidia-smi-on-jetson-nano-not-working/119702 Command nvidia-smi on Jetson Nano not working?] or [https://forums.developer.nvidia.com/t/gpu-usage-info-nvidia-smi-is-not-there/189937 GPU usage info (nvidia-smi is not there)] | |||
<li>[https://developer.nvidia.com/nvidia-system-management-interface System Management Interface SMI] | |||
<li>If the NVIDIA driver is installed correctly, this command will display information about your GPU, including its model, driver version, and usage statistics. | |||
<pre> | |||
nvidia-smi | |||
# OR | |||
dpkg -l | grep nvidia | |||
</pre> | |||
<li>How to install nvidia drivers on x86 | |||
<pre> | |||
lspci | grep -i nvidia # obtain info about GPU including the model | |||
sudo apt update | |||
# Method 1 | |||
sudo ubuntu-drivers autoinstall # | |||
# Method 2 | |||
apt search nvidia-driver | |||
sudo apt install nvidia-driver-xxx | |||
sudo reboot | |||
nvidia-smi | |||
</pre> | |||
</ul> | |||
=== NVIDIA CUDA Toolkit === | |||
* Install the NVIDIA CUDA Toolkit if you plan to use software that supports GPU acceleration for media processing tasks. Many video transcoding and processing applications can take advantage of CUDA for hardware acceleration. | |||
== jetson_clocks, power mode == | == jetson_clocks, power mode == | ||
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Megapixels : 8.3 | Megapixels : 8.3 | ||
</pre> | </pre> | ||
=== RTSP output === | |||
* [https://forums.developer.nvidia.com/t/jetson-nano-faq/82953 Jetson nano FAQ]. ./test-launch | |||
** [https://forums.developer.nvidia.com/t/about-to-start-a-streaming-server-with-rtsp-and-gstreamer-on-ubuntu-18-04-on-the-jetson-nano/165564/12 About to start a streaming server with RTSP and gstreamer on ubuntu 18.04 on the jetson nano] | |||
** [https://www.simonwenkel.com/notes/software_libraries/gstreamer/gst-rtsp-server-compilation-notes.html gst-rtsp-server Compilation Notes]. 'Undefined reference to gst_rtsp_media_factory_set_enable_rtcp'. | |||
* [https://github.com/dusty-nv/jetson-inference/blob/master/docs/aux-streaming.md?utm_source=pocket_saves jetson-utils includes a built-in RTSP server] | |||
* [https://youtu.be/Us20t1gQPOE?si=oNuaIUwxPxYiNdJ5&t=2267 ZoneMinder] allows RTSP stream as a video source. | |||
* HTTP streaming. [https://maker.pro/nvidia-jetson/tutorial/streaming-real-time-video-from-rpi-camera-to-browser-on-jetson-nano-with-flask Using Jetson Nano and a Raspberry Pi Camera for Video Streaming] | |||
== ffmeg == | == ffmeg == | ||
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* `hevc_nvmpi`: This encoder is used for the H.265 video codec, also known as HEVC (High Efficiency Video Coding). HEVC is a more recent video compression standard that provides a more efficient compression method than H.264 but with the same level of image quality. It's particularly useful for streaming 4K content over networks like Netflix. | * `hevc_nvmpi`: This encoder is used for the H.265 video codec, also known as HEVC (High Efficiency Video Coding). HEVC is a more recent video compression standard that provides a more efficient compression method than H.264 but with the same level of image quality. It's particularly useful for streaming 4K content over networks like Netflix. | ||
* In terms of quality and performance, '''libx264''' (a '''software-based H.264 encoder''') might deliver better quality than `h264_nvmpi` for the same bitrate, but `h264_nvmpi` is probably faster and uses less power. The same could be true when comparing a software-based HEVC encoder with `hevc_nvmpi`. | * In terms of quality and performance, '''libx264''' (a '''software-based H.264 encoder''') might deliver better quality than `h264_nvmpi` for the same bitrate, but `h264_nvmpi` is probably faster and uses less power. The same could be true when comparing a software-based HEVC encoder with `hevc_nvmpi`. | ||
[https://github.com/jocover/jetson-ffmpeg#supports-decoding jetson-ffmpeg] from github. It supports decoding of VP9 too. | |||
== Add keyboard shortcut to launch LX terminal == | == Add keyboard shortcut to launch LX terminal == | ||
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* https://github.com/JetsonHacksNano/installSwapfile | * https://github.com/JetsonHacksNano/installSwapfile | ||
* [https://www.jetsonhacks.com/2019/11/28/jetson-nano-even-more-swap/ Jetson Nano – Even More Swap] | * [https://www.jetsonhacks.com/2019/11/28/jetson-nano-even-more-swap/ Jetson Nano – Even More Swap] | ||
== Use as a server == | |||
[https://maxoffsky.com/code-blog/10-uses-for-nvidia-jetson-nano-developer-kit/ 10 Uses for Nvidia Jetson Nano Developer Kit] | |||
* Web server | |||
* Video Processing and Live Streaming Server | |||
* Artificial Intelligence / Machine Learning Station | |||
* NAS | |||
* Home Media Server (sudo apt-get install kodi) | |||
== Nomachine == | |||
[https://jetsonhacks.com/2023/12/03/nomachine-jetson-remote-desktop/ NoMachine -Jetson Remote Desktop server] | |||
= Alternative OS = | = Alternative OS = | ||
https://forums.developer.nvidia.com/t/alternative-os/75649 | https://forums.developer.nvidia.com/t/alternative-os/75649 | ||
== Armbian == | |||
https://www.armbian.com/jetson-nano/. PWM causes kernel 6.1\6.2 to panic, so disabled. | |||
== LineageOS == | == LineageOS == |
Latest revision as of 15:25, 30 July 2024
General information
- Jetson nano https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/.
- https://developer.nvidia.com/embedded/jetson-modules
- CPU Tegra X1 4x A57 @ 1.43 GHz (ARMv8), GPU 128 CUDA cores of Maxwell generation @ 921 MHz (cf GeForce GT 1030 SC 2GB GDDR5 Low Profile Graphic Cards has 384 CUDA cores)
- https://en.wikipedia.org/wiki/Nvidia_Jetson
- https://elinux.org/Jetson_Nano
- Power consumption: when it is idle, it uses .44A.
- https://www.waveshare.com/wiki/Jetson_Nano_Developer_Kit. Lots of information.
More
- Now One Of The BEST SBCs For Emulation Project ARES On The Jetson Nano ETA Prime, ARES for the Jetson Nano, Tech Toy Tinker Company
- Introduction to CUDA Programming With Jetson Nano
4GB vs 2GB
Comparison between Jetson Nano 2GB and Jetson Nano 4GB
ARMv8, ARMv9
- https://en.wikipedia.org/wiki/ARM_architecture_family
- ARMv8 is an ARM instruction set architecture announced in 2011. It brought a large number of fundamental changes to the instruction set, including the introduction of 64-bit operating capabilities. ARMv8 architecture uses two execution states, AArch32 and AArch64. As the names imply, one is for running 32-bit code and one for 64-bit.
- After ARMv8, which was introduced in 2011, ARM introduced ARMv9 architecture.
- According to ARM, some of the major new features of the ARMv9-A architecture include Realm Management Extension (RME) and Embedded Trace Extension (ETE) and Trace Buffer Extension (TRBE).
- Apple M1 chip or M2 chip is based on ARMv8.5-A instruction set architecture.
Images
Vs Raspberry Pi 4
- The two motherboard are similar:new Raspberry Pi has the same arch and almost the same processor (nvidia one is older). VLC doesn’t work on Nvidia Jetson Nano
- Raspberry Pi 4 vs NVIDIA Jetson Nano, Which one is better for your project? Note that both can handle H265 (4k 60fps)
- No, the Raspberry Pi does not support hardware decoding for the VP9 codec. Note that for 4K videos, Raspberry Pi 4B hardware supports only H265 (HEVC) codec. You can use a media player like VLC or Kodi to play a 4K 60fps video file. Make sure the video file is encoded with the H265 codec. This means that while it can technically decode VP9 video, it must do so using software decoding, which is much less efficient and may not be able to handle 4K video at 60fps.
- Run Your Raspberry Pi at 4K 60Hz. Note that you still won't be able to select 4K resolution for YouTube videos in the Chromium web browser. Nor can you play 4K 60Hz videos in the VLC multimedia player from the desktop. However, you should be able to play compatible 4K 60Hz HEVC videos in the Kodi media player if you have it installed.
CVE
- Security Bulletin: NVIDIA Jetson AGX Xavier Series, Jetson Xavier NX, Jetson TX1, Jetson TX2 Series (including Jetson TX2 NX), and Jetson Nano (including Jetson Nano 2GB) - July 2024
- Nvidia修補Jetson單板電腦作業系統的高風險漏洞 CVE-2024-0108. 执行Jetson Linux操作系统32.7.4版以前的Nvidia单板计算机,均受此漏洞影响.
- NVIDIA patches flaw in Jetson software used in AI-powered systems.
Get started
- Getting Started with Jetson Nano 2GB Developer Kit. Jetson 2GB Developer Kit User Guide. How-to guides. NVIDIA AI tutorials and courses.
- Getting Started: Nvidia Jetson Nano, Object Detection and Classification.
sudo apt-get update sudo apt-get install v4l-utils v4l2-ctl --list-devices --list-formats ./imagenet-camera.py --camera=/dev/video0 ./detectnet-camera.py --camera=/dev/video0
- Self-paced, online training from NVIDIA DEEP LEARNING INSTITUTE
Hello AI World
Ubuntu 20.04
Install Ubuntu 20.04 on Jetson Nano
Post installation
- Use gparted to increase the partition /dev/mmcblk0 on another computer.
- sudo apt install openssh-server
- sudo apt-get install avahi-daemon
- Switch from GNOME to LXDE & lightdm (cf xfce4). Save 1GB of Memory! Use LXDE on your Jetson.
- Setup tightvncserver. Seee Remote Desktop. Remember to set up VNC server system at startup. In ".vnc/xstartup", use "startlxde&" instead. For 16:9 ratio, consider 1366×768 or 1280×720.
- Install jtop to monitor CPU/GPU usage, temperature, et al. jtop is better than tegrastats
sudo apt install python3-pip sudo -H pip3 install -U jetson-stats
- Remove snap
snap list sudo apt remove --purge snapd sudo apt-mark hold snapd
- nano ~/.bashrc. Add a line LS_COLORS="di=1;31"
- Test gst-launch-1.0
gst-launch-1.0 filesrc location=Big_Buck_Bunny_4K.mp4 ! \ qtdemux ! queue ! h264parse ! nvv4l2decoder ! \ nv3dsink window-width=1280 window-height=720
- Install exiftool
sudo apt install libimage-exiftool-perl exiftool Big_Buck_Bunny_4K.mp4
- sudo apt install terminator, neofetch
Fan
- Fan-4020-PWM-5V instruction from waveshare.com. (Cf DC fan. These fans use a three-pin connector with a power supply pin, a ground pin, and a signal pin. DC fans can either run at a constant speed or change speeds as controlled by the motherboard)
- DC 5V Cooling Fan Compatible with NVIDIA Jetson Nano Developer Kit and B01 Version PWM Speed Adjustment Strong Cooling Air Fan 40mm×40mm×20mm with 4PIN Reverse-Proof Connector & 2 pack
sudo sh -c 'echo 255 > /sys/devices/pwm-fan/target_pwm'
To stop it just change the 255 to zero, or to slow it down put some value in between the two (its and 8 bit number, so any number between 0 and 255 will operate at a different speed).
Camera
- ls -l /dev/video0
- CSI Camera Not Detected on Jetson Nano.
- Nano platform is by default support with Raspberry pi v2, imx219.
- Raspberry Pi Camera Module 3 Wide (Sony IMX708 12-megapixel, 120 degrees, ultra fast auto focus, video up to 1080p50, 720p100) is not detected.
- Check camera image capabilities, v4l2-ctl - Man Page, In Practice: USB Cameras on Jetson - At its core, the Jetsons use the Linux kernel module Video Four Linux (version 2) (V4L2).
$ # sudo apt-get install v4l-utils $ v4l2-ctl --all # very detailed $ v4l2-ctl --list-device vi-output, imx219 6-0010 (platform:54080000.vi:0): /dev/video0 NVIDIA Tegra Video Input Device (platform:vi): /dev/media0 $ v4l2-ctl --list-formats-ext # list video formats ioctl: VIDIOC_ENUM_FMT Type: Video Capture [0]: 'RG10' (10-bit Bayer RGRG/GBGB) Size: Discrete 3264x2464 Interval: Discrete 0.048s (21.000 fps) Size: Discrete 3264x1848 Interval: Discrete 0.036s (28.000 fps) Size: Discrete 1920x1080 Interval: Discrete 0.033s (30.000 fps) Size: Discrete 1640x1232 Interval: Discrete 0.033s (30.000 fps) Size: Discrete 1280x720 Interval: Discrete 0.017s (60.000 fps)
- Turn on/off CSI camera
# echo 0 > /sys/kernel/debug/camera-video0/streaming
- Getting Your Camera Working on the Nvidia Nano
$ ls /dev/video0 $ export DISPLAY=:0 # IF WE USE SSH $ gst-launch-1.0 nvarguscamerasrc ! \ 'video/x-raw(memory:NVMM),width=3820, height=2464, framerate=21/1, format=NV12' ! \ nvvidconv flip-method=0 ! 'video/x-raw,width=960, height=616' ! \ nvvidconv ! nvegltransform ! nveglglessink -e $ gst-launch-1.0 nvarguscamerasrc sensor_id=0 ! \ 'video/x-raw(memory:NVMM),width=3280, height=2464, framerate=21/1, format=NV12' ! \ nvvidconv flip-method=2 ! 'video/x-raw, width=816, height=616' ! \ nvvidconv ! nvegltransform ! nveglglessink -e
- Get Started with Jetson Nano 2GB and CSI Camera
- Taking Your First Picture with CSI or USB Camera.
nvgstcapture-1.0 --automate --capture-auto --image-res=4 -S 3 ls -lt # nvcamtest_XXXX_s00_00000.jpg # --capture-auto: Do image/video capture in automation mode for count number of times # -A, --automate: Run application in automation mode # default resolution is 640 x480; --image-res=2. # --image-res=4 gives 1920x1080. --image-res=3 gives 1280x720. # -S, --start-time: Start capture after specified time in seconds. Default = 5 sec (use with --automate or -A only) # -S 3: automatic after 3 seconds # --capture-time: Capture video for specified time in seconds. Default = 10 sec (use with --automate and --capture-auto only) $ nvgstcapture-1.0 --help ... Supported resolutions in case of NvArgusCamera (2) : 640x480 (3) : 1280x720 (4) : 1920x1080 (5) : 2104x1560 (6) : 2592x1944 (7) : 2616x1472 (8) : 3840x2160 (9) : 3896x2192 (10): 4208x3120 (11): 5632x3168 (12): 5632x4224
- You can test if the camera is working by running this pipeline in your terminal: nvgstcapture-1.02. This command will start capture and preview display it on the screen.
- Press 'j' to capture on image. Press 'q' to quit.
- Press '1' to start video recording. Press '0' to stop recording.
Tips
Boot from USB
- https://github.com/jetsonhacks/bootFromUSB 2021, Jetson Nano – Boot from USB 2021
- Boot Jetson nano from a micro SD card
- git clone https://github.com/jetsonhacks/bootFromUSB.git
- Disks > Format > GPT > '+' > SSD240
- Mount SSD. ls /dev/sd*
- ./copyRootToUSB.sh -p /dev/sda1
- cd /media/USERNAME/SSD240/boot/extlinux
- sudo cp extlinux.conf extlinux.conf.bak
- ./partUUID.sh
- sudo gedit extlinux.conf
- Shutdown. Remove SD card. Bingo.
- How to Boot Jetson Nano From USB 3.0 (Natively) with Jetpack 4.5 2021
- Nvidia Jetson Nano Boot from USB 2020
- etson Nano – Run on USB Drive 2019. Use a swap file, not a swap partition.
Low memory problem in Jetson nano
GPU benchmark
- Glmark2. Glmark2 is an OpenGL 2.0 and ES 2.0 benchmark. glmark2 is a cross-platform tool that can be used to test the performance of the GPU on both platforms with and without CUDA cores.
- sudo apt-get install glmark2
- LuxMark
System monitor
jtop
jtop: The Ultimate Tool for Monitoring NVIDIA Jetson Devices
sudo pip3 install -U jetson-stats jtop
Tegrastats Utility
nvidia-smi
- Command nvidia-smi on Jetson Nano not working? or GPU usage info (nvidia-smi is not there)
- System Management Interface SMI
- If the NVIDIA driver is installed correctly, this command will display information about your GPU, including its model, driver version, and usage statistics.
nvidia-smi # OR dpkg -l | grep nvidia
- How to install nvidia drivers on x86
lspci | grep -i nvidia # obtain info about GPU including the model sudo apt update # Method 1 sudo ubuntu-drivers autoinstall # # Method 2 apt search nvidia-driver sudo apt install nvidia-driver-xxx sudo reboot nvidia-smi
NVIDIA CUDA Toolkit
- Install the NVIDIA CUDA Toolkit if you plan to use software that supports GPU acceleration for media processing tasks. Many video transcoding and processing applications can take advantage of CUDA for hardware acceleration.
jetson_clocks, power mode
- what does jetson_clocks do? the jetson_clocks script disables the DVFS governor and locks the clocks to their maximums as defined by the active nvpmodel power mode. So if your active nvpmodel mode is 10W, jetson_clocks will lock the clocks to their maximums for 10W mode. And if your active nvpmodel is 5W, jetson_clocks will lock the clocks to their maximums for 5W mode.
- Jetson Nano – Use More Power! nvpmodel
- Jetson Nano 2GB Developer Kit User Guide
- Power Consumption. There are two software-defined power modes for the Jetson module. 10W & 5W.
Hardware acceleration
- Hardware decoding in mpv player. totem is gstreamer based.
- https://github.com/jocover/jetson-ffmpeg
Youtube streaming
Testing video. Resolution is 480p. CPU usage is 30-50%, GPU is 50%.
Temperature: CPU 46C, GPU 43.5C (no fan). CPU 24C, GPU 22C (fan 255 & loud). CPU 29C, GPU 27C (fan 75, quiet).
By default, there is no sound b/c the output is analog by default. See Jetson nano no sound output. On 2GB, assuming you didn’t choose minimal option for OS installation, go to: Sound & Video> PulseAudio Volume Control> Configuration Tab> Built-in Audio: Profile Digital Stereo (HDMI) Output (Leave this as it is) Change the second profile to “off” (default is on Analog).
GStreamer, gst-launch-1.0
- Jetson Nano + Raspberry Pi Camera
- Video Decode Examples Using gst-launch-1.0 & PDF version.
- To test 4K video playback on the NVIDIA Jetson Nano, you can use the GStreamer multimedia framework.
sudo add-apt-repository universe sudo add-apt-repository multiverse sudo apt-get update sudo apt-get install gstreamer1.0-tools gstreamer1.0-alsa \\ gstreamer1.0-plugins-base gstreamer1.0-plugins-good \\ gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly \\ gstreamer1.0-libav sudo apt-get install libgstreamer1.0-dev \\ libgstreamer-plugins-base1.0-dev \\ libgstreamer-plugins-good1.0-dev \\ libgstreamer-plugins-bad1.0-dev gst-launch-1.0 filesrc location=<4k-video-file-path> ! \ qtdemux ! h264parse ! omxh264dec ! nveglglessink -e
Replace <4k-video-file-path> with the path to your 4K video file. Note that the performance of 4K video playback may depend on other factors such as the bitrate of the video, the overall load on the Jetson Nano, and so on
- SSH connection. Running gst-launch-1.0 in the background and run jtop to see the resource. See also How do I use the nohup command without getting nohup.out?
ssh [email protected] export DISPLAY=:0 nohup gst-launch-1.0 filesrc location=lg-uhd-LG-Greece-and-Norway.mp4 ! \ qtdemux ! queue ! h264parse ! nvv4l2decoder ! nv3dsink -e \ >/dev/null 2>&1 & jtop
- Jetson Nano 2GB development kit 4k video play back question. The following is for H.264 Decode (NVIDIA Accelerated Decode).
gst-launch-1.0 filesrc location=<filename_h264.mp4> ! \ qtdemux ! queue ! h264parse ! nvv4l2decoder ! nv3dsink -e
gst-launch-1.0 uridecodebin uri=file:///home/nvidia/a.mp4 ! \ nvvidconv ! 'video/x-raw(memory:NVMM),width=1920,height=1080' ! \ nvoverlaysink
- mkv file. Playing videos using gstreamer on Jetson Nano
- GStreamer on Linux
gst-launch-1.0 filesrc location=vid.mkv ! \ matroskademux name=dem dem.video_0 ! \ h265parse ! nvv4l2decoder ! nvvidconv ! \ video/x-raw ! subtitleoverlay name=sub dem.subtitle_0 ! \ queue ! sub. sub. ! xvimagesink
- Is "!" the same as "|" ? Ans: No, the "!" and "|" symbols are not the same in the Linux command line. The "!" symbol in a GStreamer pipeline (like in your `gst-launch-1.0` command) is used to separate and link different elements in the pipeline. The "|" symbol, also known as a pipe, is used in the Linux command line to pass the output of one command as input to another¹. This is a form of redirection that is a fundamental part of Unix-like operating systems.
4k test videos
- Pixabay, Pexels
- Big Buck Bunny (2008) 4K 60FPS Blender Animated Short - x265 7.1GB, mkv file.
- https://www.demolandia.net/
- https://www.libde265.org/downloads-videos/
- exiftool to check metadata/verify width/height/fps
$ exiftool Big_Buck_Bunny_4K_60fps-x265.mkv ExifTool Version Number : 11.88 File Name : Big_Buck_Bunny_4K_60fps-x265.mkv Directory : . File Size : 7.1 GB File Modification Date/Time : 2023:09:14 02:51:04+02:00 File Access Date/Time : 2023:09:14 02:55:15+02:00 File Inode Change Date/Time : 2023:09:14 02:54:49+02:00 File Permissions : rw-r--r-- File Type : MKV File Type Extension : mkv MIME Type : video/x-matroska EBML Version : 1 EBML Read Version : 1 Doc Type : matroska Doc Type Version : 4 Doc Type Read Version : 2 Timecode Scale : 1 ms Muxing App : Lavf60.3.100 Writing App : HandBrake 20230319201705-0cbc182b0-master 2023032001 Date/Time Original : 2023:04:11 22:20:59Z Duration : 0:10:35 Codec ID : V_MPEGH/ISO/HEVC Video Frame Rate : 60 Image Width : 3840 Image Height : 2160 Video Codec ID : A_AC3 Track Number : 3 Track Name : Stereo Track Language : und Track Default : No Audio Codec ID : A_MPEG/L3 Track Type : Audio Audio Channels : 2 Audio Sample Rate : 48000 Tag Name : DURATION Tag String : 00:10:34.200000000 Image Size : 3840x2160 Megapixels : 8.3
RTSP output
- Jetson nano FAQ. ./test-launch
- About to start a streaming server with RTSP and gstreamer on ubuntu 18.04 on the jetson nano
- gst-rtsp-server Compilation Notes. 'Undefined reference to gst_rtsp_media_factory_set_enable_rtcp'.
- jetson-utils includes a built-in RTSP server
- ZoneMinder allows RTSP stream as a video source.
- HTTP streaming. Using Jetson Nano and a Raspberry Pi Camera for Video Streaming
ffmeg
FFmpeg can be used to play 4K video on the Jetson Nano. The Jetson-FFMpeg project allows you to use FFmpeg on the Jetson Nano via the L4T Multimedia API, supporting hardware-accelerated encoding of H.264 and HEVC.
However, it's important to note that the Jetson Nano doesn't need to use GPU for hardware decoding MPEG2, H.264/AVC, HEVC, VP8 and VP9. These formats are decoded by a specific video hardware decoder (NVDEC) that can be accessed by the L4T Multimedia API².
Here is an example command to play a 4K video using FFmpeg on the Jetson Nano:
ffplay -vcodec h264_nvmpi -i vid.mp4 ffplay -vcodec hevc_nvmpi -i vid.mp4
The `hevc_nvmpi` and `h264_nvmpi` are both hardware-accelerated video encoders provided by NVIDIA, but they are used for different video codecs¹.
- h264_nvmpi: This is the NVIDIA hardware-assisted H.264 video encoder. H.264, also known as AVC (Advanced Video Coding), is a standard for video compression that is most commonly used to encode high definition video and distribute digital video content²⁵.
- `hevc_nvmpi`: This encoder is used for the H.265 video codec, also known as HEVC (High Efficiency Video Coding). HEVC is a more recent video compression standard that provides a more efficient compression method than H.264 but with the same level of image quality. It's particularly useful for streaming 4K content over networks like Netflix.
- In terms of quality and performance, libx264 (a software-based H.264 encoder) might deliver better quality than `h264_nvmpi` for the same bitrate, but `h264_nvmpi` is probably faster and uses less power. The same could be true when comparing a software-based HEVC encoder with `hevc_nvmpi`.
jetson-ffmpeg from github. It supports decoding of VP9 too.
Add keyboard shortcut to launch LX terminal
How To add a shortcut key to the terminal in LXDE?
Add
<!-- Launch LXTerminal with Ctrl+Alt+t--> <keybind key="C-A-t"> <action name="Execute"> <command>lxterminal</command> </action> </keybind>
to ~/.config/openbox/lxde-rc.xml
swap
Use as a server
10 Uses for Nvidia Jetson Nano Developer Kit
- Web server
- Video Processing and Live Streaming Server
- Artificial Intelligence / Machine Learning Station
- NAS
- Home Media Server (sudo apt-get install kodi)
Nomachine
NoMachine -Jetson Remote Desktop server
Alternative OS
https://forums.developer.nvidia.com/t/alternative-os/75649
Armbian
https://www.armbian.com/jetson-nano/. PWM causes kernel 6.1\6.2 to panic, so disabled.
LineageOS
- https://download.lineageos.org/porg
- Download and Install GApps for Lineage OS
- Lineage Android OS for the Jetson Nano
- Nvidia Jetson (Nano / Nano 2GB) [Tablet (porg_tab)]
- Video: Lineage OS on the Nvidia Jetson Nano!
ARES: aurora retro entertainment system
- https://techtoytinker.com/nvidia-jetson-nano. Username/password: aresuser/thera
- Nvidia Jetson Nano ARES Stable 1 Release