YOLOv5 training with custom data

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  • Опубліковано 17 кві 2023
  • YOLOv5 training with custom data
    YOLOv5 training
    In this video we will see how we can train a Yolov5 model on a custom dataset.
    Yolov5 Repo: github.com/ultralytics/yolov5
    LabelImg: github.com/heartexlabs/labelI...
    YoloV5 TensorRT on Jetson Nano: • Jetson Yolo TensorRT
    Build YoloV5 into TensorRT Engine in Jetson Nano: • Running YoloV5 with Te...
    Jetson computer vision full course: • Jetson Computer Vision...
    Watch full Jetson playlist: • Jetson Computer Vision
    Nvidia Jetson Inference: • Nvidia Jetson Inferencing
    Contact: mailrocketsystems@gmail.com
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  • Наука та технологія

КОМЕНТАРІ • 27

  • @mq8080
    @mq8080 9 місяців тому +2

    Could you make a video about multitask yolov5 training (detection+segmentation) ? Please

  • @kuaranir2440
    @kuaranir2440 2 місяці тому

    Hello. How to limit the size of bounding boxes? My objects usual have small size, but sometimes model returns too big boxes

  • @kumarsheshankshekhar7259
    @kumarsheshankshekhar7259 5 місяців тому

    my custom trained model is not getting converted to wts file, its showing error something related to anchor grid

  • @simonjainluiz9857
    @simonjainluiz9857 6 місяців тому

    Illegal instruction ( core dumped ) it's the command i am getting while trying to train my custom data. What is the problem ?

  • @vinao000
    @vinao000 10 місяців тому +1

    Hi friend, thanks for the explanation. I'm having some problems to train with my graphic card. It uses myu CPU instead. Any idea how to solve that? Thanks

    • @simonjainluiz9857
      @simonjainluiz9857 6 місяців тому

      Hi how to check that

    • @simonjainluiz9857
      @simonjainluiz9857 6 місяців тому

      Did you solved it

    • @WastiPlayX
      @WastiPlayX 4 місяці тому +1

      u need to install cuda for your nvidia gpu(supports only them).For each gpu they have own version the cuda.And after that u must install torch and his depenties that requires your version of cuda.And in cmd when you wrote train pass --device 0(index of your gpu).I hope that i helped u

  • @vinodkinoni4863
    @vinodkinoni4863 Рік тому

    Nice

  • @kemalkartal366
    @kemalkartal366 6 місяців тому

    hello,
    Can we add the object trained with the custom dataset to the other 80 object YOLO weights? As a single weight of 80+1. Can we increase the weight of the existing 80 objects?
    thanks.
    normally yolo weight consists of 80 objects.
    Can we add new objects to objects of this weight by training with custom datasets?

    • @vilhelmkrag5549
      @vilhelmkrag5549 2 місяці тому

      I was wondering the same, did you find any answere?

  • @ayongolouisalbert723
    @ayongolouisalbert723 18 днів тому

    Someone managed to do it on windows, i'm willing to pay for a video tutorial on windows.

  • @user-vy5lm9fj5w
    @user-vy5lm9fj5w Рік тому

    Can I also do object detection in real time after training on custom data?

    • @RocketSystems
      @RocketSystems  Рік тому

      Yes

    • @user-vy5lm9fj5w
      @user-vy5lm9fj5w Рік тому

      @@RocketSystems is there a video about it?

    • @RocketSystems
      @RocketSystems  Рік тому

      I have made full playlist on it: Jetson Computer Vision: ua-cam.com/play/PLWw98q-Xe7iH2zy8f7qZrmGhnheJtfXZB.html

    • @user-vy5lm9fj5w
      @user-vy5lm9fj5w Рік тому

      @@RocketSystems thank you

  • @saikrishnavaijwade8664
    @saikrishnavaijwade8664 Рік тому +1

    Sir how we get weight file and config file because i want to use it in opencv

  • @johnkebadlejohn
    @johnkebadlejohn Рік тому

    Where's the github directory sir?

    • @RocketSystems
      @RocketSystems  Рік тому

      Please check description

    • @johnkebadlejohn
      @johnkebadlejohn Рік тому

      @@RocketSystems sir can we train custom dataset on cpu and on pycharm

    • @RocketSystems
      @RocketSystems  Рік тому

      You can but CPU will take hours to complete 1 epoch so its not recommended. Train only on GPU and you can use google colab

    • @johnkebadlejohn
      @johnkebadlejohn Рік тому

      @@RocketSystems ok sir and thank you so much for responding