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First, make sure that you are using a JetPack 6 SD card. Second, go into the boot manager and make sure that you are booting from the SD card. After that, if it still doesn't work, you have limited options. You can check the serial debug console log to try to help to find the issue. You should be able to flash the system using the NVIDIA SDK Manager which should also make a bootable system. In any case, if you are still having issues ask for help on the NVIDIA Jetson Orin Nano forum so that the NVIDIA engineers can help. Thanks for watching!

Thank you for the kind words. I'm glad you found the video useful. Thanks for watching!

You're welcome. I'm glad we were able to save the landfill space. Thanks for watching!

I do not know the answer, you may be able to work with the boot manager to trick it. Sorry to hear about your broken SD card holder, and thanks for watching!

You're very brave to sit through these videos. I don't know how many are strong enough not to end up twisted afterwards. There are a lot of good RPi channels, it really depends on what subject you're trying to learn about. There are very many more channels devoted to the RPi, so a lot more subjects covered. @JeffGeerling has a very good, popular channel. @Dronebotworkshop is great if you're more interest in hardware projects, many of which incorporate RPi. @paulmcwhorter has some great tutorials about RP if you like sit down/walk through. Good luck on finding what you're looking for!

I'm pretty sure that's the reason. Why else would people be so unpleasant about it?

I don't have anything specific. It's extremely similar to the MS Azure Kinect camera. Any resources that you find using that SDK, you should be able to port fairly easily. Thanks for watching, and good luck on your project!

I'm glad that you enjoyed it. Thank you for watching!

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

I don't think those scripts would work on 20.04. They are for Ubuntu 18.04. You should follow the instructions on the dead snakes site for a currently supported platform: launchpad.net/~deadsnakes/+archive/ubuntu/ppa

Thank you for the kind words. I'm glad that you find it useful, and thanks for watching!

I do not understand your question. What error do you mean?

It takes a little over a minute to boot. What version of the UEFI is running?

@@JetsonHacks Thanks for replying. It is written as "version 3.0-32616947 built on 2023-02-21T18:13:46+00:00"

@@minhopark780 Which version of JetPack on the SD card are you using to boot from? Have you been able to boot this machine before? Is there a SSD installed?

@@JetsonHacks It is JetPack 6, I downloaded it from 'Jetson Orin Nano Developer Kit Getting Started Guide'. I was able to install it with SD card with Jetson nano before 3 months ago. There is no SSD installed in Jetson Orin Nano. It is my first time for Jetson Orin Nano.

@@minhopark780 The UEFI version indicates that the QSPI has not been updated. You must first create a JetPack 5.1.3 SD card to boot the machine.This will place a QSPI update which will be executed on the next boot. This is covered at ~ 1:28 in the video. Also, you can follow the instructions at: www.jetson-ai-lab.com/initial_setup_jon.html Once you update the UEFI, then you should be able to boot with a JetPack 6 SD card.

You are welcome. The journey never ends, everything is always changing!

I have not encountered any issues. You should ask the question on the Jetson AGX Forum to see what other developers and the NVIDIA engineers have to say. Thanks for watching!

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

I'm glad you were able to get it to work!

Thank you for sharing your story. It sounds like it was quite the miserable time just trying to get started. I'm glad that you persevered and were able to get it up and running. The good thing is that now that you're on JetPack 6, everything should be much easier going forward. Thanks for watching!

This is from a pre-production AGX Orin that NVIDIA provided for the review. I do not know if they packaged the demo for distribution. However, it seems similar to: catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/peoplenet Thanks for watching!

A PC running Linux is required to flash the Jetson. You can ask for help on the official NVIDIA Jetson Orin Nano forum: forums.developer.nvidia.com/c/agx-autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632 Thanks for watching!

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

I'm not sure what your question is here. You can ask for help on the official NVIDIA Jetson forums where NVIDIA engineers can walk you through issues.

Interesting. Sounds like there's a lot going on there. Thanks for watching!

Yes. They use machine learning models running on the Jetson to control their gait and animation kinematics. An operator directs the robot where to go and can trigger animations. There is additional hardware that could be used for autonomy in future development. Thanks for watching!

@@JetsonHacks Thanks!

I believe that it's the default for the version of L4T that I was using that day.

I can't read your question. Please ask for help on the official NVIDIA Jetson forums where NVIDIA engineers can help you through issues you may be encountering: forums.developer.nvidia.com/c/agx-autonomous-machines/jetson-embedded-systems/70

@@JetsonHacks My laptop is having trouble recognizing the jetson xaviernx developer kit. Can you tell me what it is to pin it at around 9 seconds in the video? Sorry if the sentence is weird using a translator. Answer me in English and I'll translate it and read it!

@@user-zx9cb8tj7i Ensure that your Jetson Xavier NX Developer Kit is powered off, and a 32GB or larger microSD card (preferably 64GB) is inserted in the SD card slot. Enable Force Recovery Mode by placing a jumper across pins 9 and 10 (FC REC and GND) of the button header (J14), located on the edge of the carrier board under the Jetson module.

@@JetsonHacks Should I connect pin 9 and pin 10 with an arm-arm jumper cable? Should I plug one side of the jumper cable into pin 9 and the other into pin 10?

@@user-zx9cb8tj7i yes.

You should be able to. Thanks for watching!

You are welcome, and thanks for watching!

You are welcome, and thank you for the kind words. That's a great story! Thanks for watching!

This video was made before I had camera skillz, so it isn't as clear as it could be. The non-knurled edge on this type of heat insert is smaller in diameter than the knurled side, insert the non-knurled edge first. The heat insert will partially seat, but will hang up once it hits the knurls. Once you heat up the insert, you will able to gently press the entire insert into the hole, with the plastic melting around the knurls. Once the plastic re-solidifies, the knurls will help when torque is applied to the inset. Thanks for watching!

Shark be doing it! Thanks for watching!

I believe that when you install opencv-python that will overwrite the native OpenCV package. The native OpenCV package has support for using the RPi camera with the Jetson. Thanks for watching!

You are welcome. I am not sure what issue you are encountering. I don't have any experience running the RealSense on JetPack 6, you should ask on the RealSense Github or official NVIDIA Jetson forums for help. Thanks for watching!

@@JetsonHacks Oh okay thank you for reply!!

That's a good question. Typically people use mass flash when they are trying to create multiple SSDs like you describe. There are a couple of issues, depending on which Orin Nanos you receive. You may have to flash the Orins to update the QSPI to the version of JetPack that you are running. There's a lot here to parse, it's beyond what I can describe in a CZcams comment. Your best bet is to ask on the Jetson Orin Nano forums where a NVIDIA engineer can help you get started on the process: forums.developer.nvidia.com/c/agx-autonomous-machines/jetson-embedded-systems/jetson-orin-nano/632 Thanks for watching!

I'm not sure what you are asking. You can use the SDK Manager to refresh the Xavier.

I would think so, but I haven't tried it. Thanks for watching!

You should ask for help on the official NVIDIA Jetson forums so that NVIDIA Engineers can help you find the issue: forums.developer.nvidia.com/c/agx-autonomous-machines/jetson-embedded-systems/70 Thanks for watching!

You are asking a different question. You are trying to start a venv at startup. One way to do that would be to write a service to start the venv and put into systemd. Thanks for watching!

Thank you for the kind words and thanks for watching!

I don't have have any experience with noetic, so I don't have much to offer on your question.

@@JetsonHacks alright, just doing other methods of installation and came across a few questions as well.. from what i am trying to understand... it is possible to simply install the SDK for realsense and then install the ros wrapper with the apt-get installation process right? The method through the github is another option besides the apt-get install. Is this correct? Also curious how the SDK installation has anything to do with simply the apt-get installation? I've been unable to run the realsense ros wrapper without the SDK already installed, or am I doing something wrong? - really trying to understand the process here, thanks in advance!

@@sulaiman-hd8pz The SDK is a driver for the RealSense camera, and installs the libraries and samples. The ROS wrapper calls the libraries. If the libraries are not installed, the ROS wrapper does not have anything to work with. I would expect something like: $ sudo apt install ros-noetic-realsense2-camera to work. You can check what the package installs to see if the RealSense libraries are installed along with it.

You are welcome! Thanks for giving me the opportunity.

I don't know the answer. CUDA enabled code must be called. It sounds like your code does not call it. You should ask on the official NVIDIA forums or YOLO forums.

That is what is shown in the video. Thanks for watching!

@@JetsonHacks yes, i saw. Thanks a lot!

import cv2 # GStreamer pipeline string for capturing from IMX219 camera on Jetson Nano pipeline = "nvarguscamerasrc sensor-id=0 ! video/x-raw(memory:NVMM), width=1280, height=720, format=NV12, framerate=21/1 ! nvvidconv ! video/x-raw, format=BGRx ! videoconvert ! video/x-raw, format=BGR ! appsink" # Open the capture pipeline cam = cv2.VideoCapture(pipeline, cv2.CAP_GSTREAMER) if not cam.isOpened(): print("Cannot open camera") exit() while True: ret, frame = cam.read() if not ret: print("Failed to grab frame") break cv2.imshow('Frame', frame) if cv2.waitKey(1) & 0xFF == ord('q'): break # Release the camera and close OpenCV windows cam.release() cv2.destroyAllWindows() here my code when I run it get me cannot open camera

I do not understand the question. Is this with the OpenCV library you built following the instructions in the video?

@@JetsonHacks my english is so bad but now I figured problem out by watching this video Thanks :)

@@omersar6853 I am glad you got it to work!

Thank you for the kind words. Using the Orbbec SDK, you can look in the examples directory. Depending on which version of the SDK you are using (C, C++, Python), there are samples that save the point cloud to a file. For Python: github.com/orbbec/pyorbbecsdk/blob/main/examples/save_pointcloud_to_disk.py Thanks for watching!

@@JetsonHacks Thanks Jetson! I figured it out , you have to Orbbec viewer /under Point Cloud View /you click start and will save the pointcloud. I'm trying to figure out how to scan in 360 degree using the camera. Any software available that can do that? I'm more of an artist then a programmer.

@@creaturefreak3d205 I'm sure there is, but I haven't used any. Check with Orbbec.

I'm not sure what virtual environment you're talking about. A Python one?

@@JetsonHacks yes, a python virtual environment

@@fabianpalacios6711 The nano_build_opencv shell script will build the OpenCV libraries and place them into the system usr space. It will also place the Python wrappers in system-site-packages. A virtual environment will not include system python packages unless you specify it on creation with an option like --system-site-packages in the case of virtualenv. If for some reason this doesn't work you should be able to copy or link opencv from its installation path to your virtual env's python path. Like: $ ln -s /usr/local/lib/python3.6/dist-packages/cv2/ /path/to/venv/lib/python3.6/site-packages/ You can read more about it here: github.com/mdegans/nano_build_opencv/issues/32