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.

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

github.com/jetsonhacks/camera-caps

That sounds like an interesting In Band solution! Thanks for watching!

This is a product that flys under the radar, it's mostly for professional users and people that have critical missions to fulfill. But if you need it, you need it. Thanks for watching!

@@JetsonHacks Yep. Currently, I maintain 5 Jetson Nano remotely. They have 4G connectivity. I configured Ngrok tunnels for each of them to connect with ssh and eventually VNC. I think that this product would be an overkill to me. Important to know the concept though.

@@hanshima_ I think that's smart way to do it. As you might guess, the whole thing can escalate quickly and get out of hand as you keep adding Jetsons. It depends on the application, but if you have to absolutely make sure it works and the Jetsons are remote, the Allxon solution is a good place to start looking. It's so familiar to see cloud based services for managing networked computers, such as on AWS and Google Cloud, that device specific solutions like this seem natural.

I'm not sure what the error means. Please ask the question on the official NVIDIA Jetson forum where a NVIDIA engineer can help you through the issue. Good luck, and thanks for watching!

Congratulations! Lots of exciting work ahead. Thanks for watching!

I'm not sure where you are in the process. Did you flash the machine? You should be asking for help in the official NVIDIA Jetson TX2 forum where NVIDIA engineers can help you through the process: forums.developer.nvidia.com/c/agx-autonomous-machines/jetson-embedded-systems/jetson-tx2/81 Good luck!

Thank you for the kind words, I'm glad you found it helpful. Thanks for watching!

You are welcome. Thanks for watching!

You are welcome, the Femto Bolt is a very nice camera. You may share the video, and thank you for the opportunity for the review.

It's a very nice camera. Thanks for watching!

Thank you very much for the kind words, I'm glad you found it useful. Thanks for watching!

I'm not sure I understand the question. If you are flashing the system, you will be overwriting whatever the username and password might be.

@@JetsonHacks I figured that out. The flashing fails at 83% saying waiting for the target to boot up it reached time out and then fails. The orin device fans spin up and stop intermittently. I also tried out your repo for booting up from external device. That also gave the same issue. What should be done here?

@@harshalbhat5638 It's difficult tell what the issue is. It will depend on which version of JetPack you are trying to install. You will probably need to use the serial debug console to determine where the flashing procedure is stopping. If you are using JetPack 6, you most likely need to flash the eMMC to update the bootloader firmware. Your best bet is to ask for help on the official NVIDIA Jetson Orin Forum where a NVIDIA engineer can walk you through the issues you are having: forums.developer.nvidia.com/c/agx-autonomous-machines/jetson-embedded-systems/jetson-agx-orin/486

Yes it does. The camera has an IR emitter which it uses to construct the point cloud. It does not work very well in direct sunlight for that reason. Most people use them indoors. Thanks for watching!

I just generated a new JetPack 6 system on a Jetson Orin Nano, and followed the video. The startup script appears after logging in. You appear to be having an issue of some sort, but it's difficult to tell from your description what it might be. Are you running the provided script? Does it run from the command line? What is your exact startup command that you placed in the startup application dialog?

Background culling is an old term that came from wireframe polygon rendering. Live Matte sounds like a great marketing term! Thanks for watching!

You win! Thanks for watching!

Thanks for sharing this information. My guess is that the version of jtop needs to be updated to recognize the version you are running. Thanks for watching!

JetPack for the Nano only supports Ubuntu 18.04, it does not support 20.04. That's why you can't find the JetPack install for it. You most likely will need to reflash the Jetson. You should be able to get support for Seeed or you can ask for help on the official NVIDIA Jetson Nano forum. Good luck on your project!

@@JetsonHacks thank you, I can fix it when reinstall ubuntu 18.04

@@prachtech1392 I'm glad you were able to get it to work.

lol. Thank you for the kind words. And thanks for watching!

Check out arkelectron.com/product/ark-jetson-pab-carrier/ Thanks for watching!

You should be able to SSH into the Jetson.

@@JetsonHacks yessir thankyou

@@poplu7076 You are welcome. Good luck on your project!

@@JetsonHacks thankyou very much .. will update you once the uni project is done.

I haven't worked with the Ultralytics docker container. I suggest that you ask the question on the official NVIDIA Jetson Nano forum, where a large group of developers and engineers can share their experience. Thanks for watching!

Not sure what you mean by "does not work". I've built it on the JON and did not have any issues.

@@JetsonHacks I went through all of the steps and I see what you see when I look at Jtop but when I enter the magic numbers to tell the python script to run with cuda I get the error "setUpNet DNN module was not built with CUDA backend switching to CPU"

@@deplorablesecuritydevices If you are running it in Python, did you set up the PYTHONPATH and install it correctly? You should be following this video: kzbin.info/www/bejne/eHSxn6SKe85gfdUsi=D13iYiv9CEvki7ne

@@JetsonHacks That didn't fix it but it seems to be related to this path variable. Also thank you for the help and thank you for the funny videos. I was grumpy until I saw the "wtf" clip in the middle of the link you shared.

@@deplorablesecuritydevices Thank you for the kind words, and I hope you can trick it into working. I know that's it's not as straightforward a task as one might think.

Here's a video of it running Stable Diffusion: kzbin.info/www/bejne/fp2rZIShiJZ5a7ssi=Mw26As_sPSHjIUdX This is probably not a good choice for a desktop/laptop replacement for tasks like video editing. However there is a lot of GPU accessible RAM for running LLMs. You can see many examples on www.jetson-ai-lab.com where a large number of different AI and ML examples are shown, along with examples. Everything is OpenSource, so it's inexpensive to get started. This includes LLMs, Text & Vision (VLM), Vision Transformers, RAG & Vector Database, ASR and TTS, Image Generation like Stable Diffusion and much more. Thanks for watching!

@@JetsonHacks thanks. It was just a suggested tie me over suggestion by AI until I buy the 5 to 6k pc with gtx 4090 or 4080super…. But it assumes video editing would work fine on Orin. Which I was curious about. It even suggested for me to install davinci on both laptop and Orin and I use proxy files. Load up video files to edit, export proxy files to laptop, (edit in low quality mode) edit, move back to Orin to process. Very interesting concept.

@@playthisnote I'm sure there are programs that you can use on the Orin that can edit video. The issue is that the Orin is an ARM machine, not x86 or Mac. This means that they're out of the mainstream for many applications, or it can be challenge to get support because it's a relatively small community in comparison. Blender does work, but I'm not sure about Resolve or Premiere. The Orin is a good machine, but its purpose is different than a desktop replacement.

Yes, the steps are similar. Thanks for watching!

You are welcome, and thanks for watching!

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