Oriented Object Detection using ROS2

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  • Опубліковано 1 сер 2024
  • In this tutorial I explain how to execute YOLOv5 OBB with ROS2.
    ROS2: FOXY
    The project is here:
    drive.google.com/drive/folder...
  • Наука та технологія

КОМЕНТАРІ • 18

  • @lucareitano2737
    @lucareitano2737 Рік тому

    Great! Exploring these computer vision architecture is crucial for robotics engineers! Thank you for your work!

    • @robotmania8896
      @robotmania8896  Рік тому +1

      Hi Luca Reitano!
      Thank you!
      It is my pleasure if this video has helped you!

  • @markusbuchholz3518
    @markusbuchholz3518 Рік тому

    I am impressed with your channel and think you're a brilliant person. Congratulations on your ideas and thank you for sharing your passion. Cross my fingers for your goals and success. Have a great day!

    • @robotmania8896
      @robotmania8896  Рік тому +1

      Hi Markus Buchholz!
      Thank you! Your comment really encourages me!

  • @rayk5097
    @rayk5097 Рік тому

    So useful

    • @robotmania8896
      @robotmania8896  Рік тому

      Hi Tsun Chak Li!
      Thank you! It is my pleasure if this video has helped you!

  • @AI-kr7mj
    @AI-kr7mj 3 місяці тому

    Error occurred while running train.py for custom datasets.................................
    yolo_obb_sim\src\yolov5_obb\scripts\utils\loss.py", line 267, in build_targets
    indices.append((b, a, gj.clamp_(0, feature_wh[1] - 1), gi.clamp_(0, feature_wh[0] - 1))) # image, anchor, grid indices
    RuntimeError: result type Float can't be cast to the desired output type __int64

    • @robotmania8896
      @robotmania8896  3 місяці тому

      Hi A I!
      Thanks for watching my video!
      In this tutorial I explain how to train yolov5-obb using a custom data set. Please refer to this video.
      ua-cam.com/video/ALD9KfCfZk4/v-deo.html

  • @GlenBennetHermon
    @GlenBennetHermon 11 місяців тому

    Hi, thanks for this great video. I also tried training custom dataset with boat as a class. In your model, how many images have been used? The model was trained for how many epochs? My model is not working which was trained with only 30 images for 1000 epochs. Thanks in advance.

    • @robotmania8896
      @robotmania8896  11 місяців тому

      Hi GlenBennetHermon!
      Thanks for watching my video!
      I used 80 images to train one class. I did train for about 60~80 epochs. 30 images may be too little to train, so I think you should prepare another 30~50 images.

  • @sasanmir8122
    @sasanmir8122 Рік тому

    Can you please teach as how use a custom data set on yolov5_obb

    • @robotmania8896
      @robotmania8896  Рік тому +1

      Hi Sasan Mir!
      Thank you for your suggestion! I will consider making a tutorial about annotation and training of yolov5 obb.

  • @MySecondaryID
    @MySecondaryID 11 місяців тому

    Thanks for your video. How can I train the model on my own custom dataset? Please share supplementary material/link. Thanks in advance.

    • @robotmania8896
      @robotmania8896  11 місяців тому

      Hi entertainmentdesi69!
      Thanks for watching my video!
      I have a tutorial in which I explain how to train yolov5 obb. Please refer to this video.
      ua-cam.com/video/ALD9KfCfZk4/v-deo.html

    • @MySecondaryID
      @MySecondaryID 11 місяців тому

      @@robotmania8896 Thank you so much.

  • @minhhnguyen88
    @minhhnguyen88 Рік тому

    bro, can you guide me to identify 2 webcams at the same time with yolov7 tiny, i'm having trouble, hope bro can help me. thank you very much

    • @robotmania8896
      @robotmania8896  Рік тому +1

      Hi minhhnguyen88!
      Thanks for watching my video!
      Where exactly are you experiencing a problem?

    • @minhhnguyen88
      @minhhnguyen88 Рік тому

      @@robotmania8896 I am not able to get the image from each webcam and recognize the object on each of those webcams with the same training data set. I've never done this so it's quite difficult for me. I hope you can make a video tutorial. i work on jetson nano. thank you so much bro