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You are welcome, and thanks for watching!

It's still pretty cool stuff. Thanks for watching!

AGX Xavier does not have an update path to Ubuntu 22.04. You can use a Docker container to run ROS2 Humble on 20.04: github.com/dusty-nv/jetson-containers/tree/master/packages/ros

@@JetsonHacks thanks jim

I'm not sure what you tried. Please ask your question on the official NVIDIA Jetson Xavier NX forum, where people from NVIDIA can help you through any issues you might be having. Thanks for watching!

I do not know what you are asking. I do not know what 'video in windows 11' means. Unfortunately I don't know Spanish, so you will need to rely on other translation tools.

I don't know the official answer. Please ask on the official NVIDIA AGX Orin forum where the NVIDIA engineers can give you the official answer. Thanks for watching!

I don't know what -bt mode is. Did you try it with -b=5 -t=7 like in the demo?

From your description, it sounds like you have an issue. It's difficult to diagnose without understanding which version of Ubuntu you are running on the host and which version of SDK Manager you are attempting to use. Each version of the SDK Manager has different host requirements. This is an older video, for JetPack 4.2. JetPack 6 is the newest version as of this writing.

The Jetson Nano does not support Focal, therefore there is no ubuntu/focal branch to check out. Perhaps you can go to a directly supported repository? launchpad.net/~deadsnakes/+archive/ubuntu/ppa Thanks for watching.

@@JetsonHacks Thanks for the link.

The Dev Kit is different than the production modules. You should use the SDK Manger to help with this task. At the time this was recorded, the SDK Manager did not have that capability. Thanks for watching!

Thanks for watching!

You're welcome. I believe it's run at login. If you want to run it before login, you'd use something like rc.local. Thanks for watching!

@@JetsonHacks thank you so much

I don't what what you're asking. tkinter is part of Python.

@@JetsonHacks I know, but jetson nano's Python is 3.6.9, when i use 3.6.9, i can import tkinter but if i use 3.8.12, i cant import tkinter

@@nhatpham5797 First, check to see if tkinter is installed: python -m tkinter If not, you will need to install it. The installation will depend on how you intend to use it, for example if you're using a virtual environment or not. You should be able to find tutorials on the web to help you, that's not something I can help you with.

Wow, thank you very much for your generosity! I'll use it to make more content.

You will need to make sure that your cable is wired correctly, and that you have a proper driver for the TTL to USB chip. Which cable are you using to connect them? What is your host machine?

@@JetsonHacks I used this cable: DTECH 3ft 3.3V USB to TTL Serial Adapter Debug Cable TX RX Signal 4 Pin Female Socket PL2303 Prolific Chip. I am using Ubuntu 18.04.

@@najibmurshed Do you have a PL2303 driver for your host machine? If you're looking to check if the correct driver is installed for your PL2303 TTL to USB serial converter on Ubuntu 18.04, here's a step-by-step guide: Plug in Your Converter: First, plug your TTL to USB serial converter into your computer. Check Kernel Messages: Open a terminal and type the following command: $ dmesg | grep tty This will show you the kernel messages related to TTY devices. Look for lines mentioning the PL2303 converter, such as: [ 1234.567890] usb 1-1: pl2303 converter now attached to ttyUSB0 Next, list the TTY devices to see if the converter is recognized: ls /dev/ttyUSB* You should see something like /dev/ttyUSB0 if your device is recognized. Identify the Driver Module: To identify the driver being used, type: $ lsusb Look for an entry similar to: Bus 001 Device 004: ID 067b:2303 Prolific Technology, Inc. PL2303 Serial Port Note the vendor ID and product ID (e.g., 067b:2303), then check the driver details with: $ lsusb -v -d 067b:2303 | grep -i driver Finally, verify that the pl2303 kernel module is loaded: $ lsmod | grep pl2303 You should see output indicating that the pl2303 module is loaded. If the pl2303 module isn’t loaded, you can load it manually with: $ sudo modprobe pl2303 And check again with $ lsmod | grep pl2303. Hope this helps

@@JetsonHacks As for the product ID I am getting 067b:23a3 and after I did $ lsusb -v -d 067b:23a3 | grep -i driver Couldn't open device, some information will be missing. However, If I did lsusb -v -d 067b:2303 | grep -i driver it doesn't show any error just that it is ready for the next command. When I do $ lsmod | grep pl2303: pl2303 28672 0 usbserial 49152 1 pl2303

@@JetsonHacks Thanks for the detailed suggestion! I did try the steps and instead of product ID (067b:2303) I am getting (067b:23a3) and when I use that I get: $ lsusb -v -d 067b:23a3 | grep -i driver Couldn't open device, some information will be missing But if I used: lsusb -v -d 067b:2303 | grep -i driver (The terminal accepts it) Also: $ lsmod | grep pl2303 I get -------------------------------------- pl2303 28672 0 usbserial 49152 1 pl2303

What entry did you put into the crontab file to run your script? Is your script marked as executable? Is this just for you as the user, or for the system?

You are welcome and thanks for watching!

Use the -v option to mount your project directory into the Docker container. Replace /path/to/your/project with the actual path to your project directory. If you're using Jetson containers: $ jetson-containers run $(autotag l4t-pytorch) -v /path/to/your/project/:/workspace Once inside the Docker container, navigate to the mounted directory to access your project files.For example $ cd /workspace

@@JetsonHacksversion of container image will be automatically selected to suit my existing project as using autotag, right? Thanks.

@@mannguyen5781 It will attempt to match the image with the version that matches your version of JetPack.

​@@JetsonHacksfinal question is i want to create docker container with opencv (with CUDA support), tensorflow. How do i type the command? Thanks.

@@mannguyen5781 What have you tried? From your description, it sounds like the l4t-tensorflow package fits. If you need help, please ask your questions in the official NVIDIA Jetson forums where people can better help you.

I do not know how to answer this question. If you have specific questions about this topic, please ask in the official NVIDIA Jetson forums.

Thank you for the kind words, and thanks for watching!

It's hard to tell without knowing how your script works. Here's a response video that may help: ruclips.net/video/ExBxUcjIv9g/видео.html Thanks for watching!

There's a typo in your command. 14t should be l4t - lima 4 tango. It's understandable, the one looks very similar to the l in the video. You can copy the commands directly from the jetson-ai-lab tutorial page to avoid that. Thanks for watching!

@@JetsonHacks Thanks for the quick reply and it solved the issue. The video helped a lot for finishing the initial set up. Great work!!

@@carolenejoy9562 You are welcome, and I'm glad you got it to work.

You are welcome, and thanks for watching!

You are welcome. It's still there. However, I would not recommend using it as many things have changed since it was written. github.com/jetsonhacks/bootFromExternalStorage I advise that you get the flash logs and have the NVIDIA engineers help you through your issue on the Jetson Orin Nano forum.

Thank you for the kind words, and thanks for watching!

You are welcome. It's still there. However, I would not recommend using it as many things have changed since it was written. github.com/jetsonhacks/bootFromExternalStorage I advise that you get the flash logs and have the NVIDIA engineers help you through your issue on the Jetson Orin Nano forum.

I do not have any experience with the RPi 3 camera. You might want to check the NVIDIA Jetson forums to ask if anyone else does. Thanks for watching!

Yes it does. You will need to make sure that you have a recent version that supports the Orin Nano. Thanks for watching!

You are welcome, and thanks for watching!

I'm always surprised at how many times I'm set wondering what the little pig dog is doing. Thanks for watching!

You are welcome, and thanks for watching!

Sounds like you have a memory leak somewhere. It's hard to tell what the problem is until you analyze which program(s) are causing the problem. Thanks for watching!

I don't know of any outstanding issues with 20.04. I don't know what 12% of download means.

You are welcome, I'm glad you found it useful. I usually use NVMe. Kernel modules are pretty involved, it's not clear if you are trying a built-in module, an external module, or out of tree module. Thanks for watching!