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YOLOv7 Object Detection on Jetson Nano

Learn how to use Custom Object Detector YOLOv7 Model on Jetson Nano.

OpenCV Installation Tutorial: https://www.youtube.com/watch?v=P-EZr0zy53g&t=143s

Pytorch Installation on Jetson Nano: https://www.youtube.com/watch?v=ZXbOV83EXdQ&t=1443s

#Jetson
#OpenCV
#python #objectdetection #pytorch

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by Cardano Foundation

linux foundation

24 thoughts on “YOLOv7 Object Detection on Jetson Nano

  • Hey i installed yolov7 but when i run the command for python train.py ……. P5.yaml i got the error illegal instruction (core dumped)

  • hello,
    thank you for these tutoriels they are very helpfull
    can you please provide the terminal commands and the jupiter file ?

  • When I run detect.py with the test_image.jpg, I have a problem " from ultralytics.utils.plotting import Annotatior, colors, save_one_box. ModuleNotFoundError: No module named 'ultralytics'. I don't know how to resolve this error, I try the command "pip install ultralytic", but it seem to be useful. Please help me. Many thanks to you, best regard😢😢😢

  • super bad example, do not say anything about in jupyter, how transfer jupyter, how run code, how get that code

  • Hello Ms, i want to buy jetson nano b01 for my iot project, but in the offical nvidia website, support for this nano b01 is not continued, should i buy it or not, I'm afraid it will not work as expected since the built in os is ubuntu 18 whereas python 3.8 at least need ubuntu 20

  • Thank you for Good video, may i know,did you run your jupyter notebook in different environment ? because the button at top right under the log out shown python 3, isn't it should show enve(or your Virtual environment name)? , sorry if I wrong.

  • I am not sure I understand – at about 8:00 you mention the training data – how do I prepare it? I assume I need to prepare the data set, which can be used here. Do you have a recommended guide for this process?

  • Hello Aarohi, I am working on vehicle plate text extraction in Jetson Nano. Any one can help me i can pay.

  • I have trained custom Yolov8 model. How to deploy that model on jetson nano? Please make a video on it. I have tu submit my project within a week and i am stuck

  • how to use raspberry pi camera? when i tried ising it with –source 0 (which i got from v4l2-ctl –list-device cmd) it is not running and throwing error. Is there any solution?

  • after the object is detected, can you set up the camera mechanism to rotate so that the object is in the center of the frame? If yes, please guide me, thank you very much

  • Hi, thanks for this amazing video. Is it possible to know from where did you download image datasets for both training and validation of boats. I'm looking for a human dataset.

    Thanks in advance.

  • Hello!
    I'm working on a project to identify potaotes and do CV operations such as counting, color categorization, and size estimate, among other things.
    I'm now collecting data from a conveyer belt that has at least 100 potatoes going out of it. I wish to carry out the previously mentioned operations using a Jetson Nano. Would you recommend using a Jetson nano or another device for this, or is it not a good soluton to run this on an edge device?

  • when running the yolov7 model and it says :torch 1.8.0 cuda :0 (NVIDIA Tegra x1) does this not mean cuda is not activated ? cant find documentation on this line specific to ubuntu cheers.

  • i find it hard to implement a Region of Intrest Mask for YOLOv7 (to help speed up FPS More) not farmilliar with Argeparss and what variables to use. maybe you could touch on that on a video ?

  • Can you please make a tutorial for running inference on tensorRT models of yolov7 on jetson NANO

  • congratulations!! , i have a question, in your before video your explain the tutorial with the installation with jeckpack 4.6.1 . It is rigth for this situation? . it is not right for yolov7 , can you include de link to download the jetpack 4.6.3 ?? thanks

  • Hi maam….Ur videos are really amazing with clear explanation in easy way.

    Maam i am a research scholar.

    Maam i need some help from you.

    Would be thankfull

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