My First Jetson Nano Object Detection Inference Server

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  • Опубліковано 4 жов 2024

КОМЕНТАРІ • 45

  • @richardverheyen6373
    @richardverheyen6373 Рік тому +3

    I'm loving this series so much, please do keep making them.
    I'm trying so hard to get one of my newly trained models running in Flutter.
    Will the Roboflow team ever have time to look into a tutorial for object detection and maybe even tracking in Flutter?

    • @Roboflow
      @Roboflow  Рік тому +1

      Well… I hear that request for the first time. People were walking about swift, and Java or even Kotlin. But never Flutter. I’d need to do a research if that’s even possible. And btw, thanks a lot for the kind works 🙏🏻

  • @luckyMiddlebrook
    @luckyMiddlebrook 23 дні тому +1

    Thank you so much for this video

    • @Roboflow
      @Roboflow  23 дні тому

      So cool to see people still watch it

  • @tomaszbazelczuk4987
    @tomaszbazelczuk4987 Рік тому +1

    Awesome!!! I can’t wait for a next episode 🙂

    • @Roboflow
      @Roboflow  Рік тому

      Stay tuned! We have a gigantic video backlog, but I'll do my best. :D

  • @g.s.3389
    @g.s.3389 Рік тому +3

    great more with jetson!!

    • @Roboflow
      @Roboflow  Рік тому

      Comming soon! I hope :)

  • @IsiUbilla
    @IsiUbilla 7 місяців тому

    more videos with jetson please!

  • @sergiirizvan4669
    @sergiirizvan4669 Рік тому +1

    It would be cool to see how you can run object detection + tracking on video stream on Jetson Nano

    • @Roboflow
      @Roboflow  Рік тому

      This sounds awesome! Could you add that to our video ideas: github.com/roboflow/notebooks/discussions/categories/video-ideas ?

  • @kaisbedioui7456
    @kaisbedioui7456 Рік тому +1

    Interesting! I like to see more of the edge devices projects
    Question: is the roboflow inference server optimized in a way for Jetson devices?

    • @Roboflow
      @Roboflow  Рік тому +1

      We have two servers. One implemented in node.js where we use tf.js as an engine. We have second one that is much more optimized for NVIDIA devices.

  • @YigalBZ
    @YigalBZ Рік тому

    Thank you for the clear and good video. I got a little confused as you use pre made docker. Could you please advise if it is usable for the following application: I have a Jetson Nano 4GB, connected to a camera. The target is to identify a train toy on track (specifically locomotive among few), and get it coordinates, in real time. I assume not because the latency of the server. What do you think?

  • @harperzappone5495
    @harperzappone5495 Рік тому +1

    hi! I was wondering how you would do something like this if you didn't train your model using roboflow? I use roboflow to annotate images, but I trained my models on a large server we use at my work. Can I upload those .pt weight files to the inference server instead of importing from roboflow?

    • @Roboflow
      @Roboflow  Рік тому

      Not for now… but you can upload your trained model to Roboflow and then use it in our server.

  • @infocus2160
    @infocus2160 7 місяців тому

    can we use the same inference server for RTMDet model as well.

  • @sansy9568
    @sansy9568 8 місяців тому

    Hello, can u tell me which version of Yolo is capable of runninng on Jetson Nano with acceptable FPS ?

  • @snehitvaddi
    @snehitvaddi Рік тому +1

    Hey Peter!
    For my project I am thinking of using external camera like OAK-D or generic webcam for doing Object detection and Object tracking.
    What would you suggest? Respberry PI or Jetson Nano to do the AI stuff?

    • @Roboflow
      @Roboflow  Рік тому

      Depends on FPS you want to get and the model that you plan to use :)

    • @snehitvaddi
      @snehitvaddi Рік тому +1

      @@Roboflow We're talking about a conveyer belt that can move at least 100 objects per minute and runs continuously for 2-3 hours. If I'm not mistaken, storing that much data and processing OpenCV, ML stuff will be impossible. What are your thoughts? Is that possible on an edge device?

    • @Roboflow
      @Roboflow  Рік тому

      @@snehitvaddi it think it should be quite easy to do in real time :)

    • @snehitvaddi
      @snehitvaddi Рік тому +1

      @@Roboflow okay, let say I'm going to use Yolov8, and I might need 25 FPS. What would you suggest? Respberry PI or Jetson Nano or someother thing?

    • @Roboflow
      @Roboflow  Рік тому +1

      @@snehitvaddi Jetson Nano ishould work. I think that Pi is to wake

  • @AlainPilon
    @AlainPilon Рік тому +1

    Wait a sec! You can connect both keyboard and mouse with a single dongle?

    • @Roboflow
      @Roboflow  Рік тому

      Hahaha! You can if both are Logitech. Not sure if it works same with other manufacturers.

    • @AlainPilon
      @AlainPilon Рік тому

      @@Roboflow I already have the logitech mouse, but they down have good wireless keyboards for coding (I have a wired one for gaming). Maybe I should check them again.

  • @gemlisboa3236
    @gemlisboa3236 Рік тому +1

    Do you have youtube tutorial on how connect arducam to jetson nano

    • @Roboflow
      @Roboflow  Рік тому +1

      Not yet... Is that something you'd be interested in?

    • @gemlisboa3236
      @gemlisboa3236 Рік тому +1

      I really interested because it helps it to me

    • @Roboflow
      @Roboflow  Рік тому +1

      @@gemlisboa3236 I'll add it to the list, but I need to say it is pretty long already. There is a lot of interest in edge devices.

    • @gemlisboa3236
      @gemlisboa3236 Рік тому +1

      @@Roboflow its okay, Ill be waiting. Thank you so much

  • @carolenejoy9562
    @carolenejoy9562 8 місяців тому

    I powered up my nano using both micro usb and barrel jack, but the green light is not working and not booting. But when I checked the green light seperately using a multimeter, the light turns on. Can someone help me out?

    • @Saint-Prado
      @Saint-Prado 4 місяці тому

      You need a jumper clip on J28 to disable USB power and active the power to the Barrel Jack.

  • @sainandhan1108
    @sainandhan1108 Рік тому

    Please explain how to visualise results tooooo

    • @ishmaelchirwa3823
      @ishmaelchirwa3823 Рік тому

      v4l2-ctl --device=/dev/video0 --stream-mmap --stream-count=100 --stream-to=test.mp4

  • @CoolAdministrator
    @CoolAdministrator Рік тому

    Can you do a video on the Khadas VIM4?

    • @Roboflow
      @Roboflow  Рік тому

      You can submit your video idea here: github.com/roboflow/notebooks/discussions/categories/video-ideas

  • @mieszambigoskolanem
    @mieszambigoskolanem 9 місяців тому

    Pozdro ziomek!

  • @weistrass
    @weistrass 10 місяців тому

    I agree with the Jetson criticism, but give us some alternatives...

  • @MinaSchloch
    @MinaSchloch Рік тому +1

    Bro you did apt update but not apt upgrade! Your system, at least the desktop, looks extremely old. Like, 2016 old.
    Like that, also with the GUI and all, you may not want to open any ports for that system to the internet.
    Really interesting board, funny that NVIDIA with their hater proprietary driver and all, used Linux for their own hardware! They also use RISC-V in their GPUs afaik.
    Poorly I guess RISC-V is not copylefted, so people can make technology based on it proprietary.
    I guess using that board for AI should require a better cooling solution. Nice GUI warning "System is throttling" in the upper right corner, and it throtteled A LOT.
    You may be able to overclock the components and have it never throttle, when using a better cooler.
    Your installation guide was... "click on the first link in Google" is something you should never say, often its Ads. Please link that official documentation and all Downloads in the description.
    Nice video!

    • @Roboflow
      @Roboflow  Рік тому

      Well… thanks a lot for that comment. You gave me a lot of motivation to do better job next time ;)