329 - What is Detectron2? An introduction.

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  • Опубліковано 20 гру 2024

КОМЕНТАРІ • 37

  • @ajay0909
    @ajay0909 Рік тому +6

    I have done a lot of annotations for a project which took at least 3 hours per image. But with this detectron2 a lot of time and energy is saved. Thank you sir for detailed tutorial.

  • @pushkarkopparla260
    @pushkarkopparla260 Рік тому +1

    Thank you for sharing your code so freely!

  • @KalanaNethsara
    @KalanaNethsara Рік тому +3

    glad to see you again Mr. Sreeni, Love from SriLanka :)

  • @yogidwitama2480
    @yogidwitama2480 Рік тому +4

    Thank you, sir. I can't wait for the tutorial on using custom dataset. 😁

    • @DigitalSreeni
      @DigitalSreeni  Рік тому +3

      Working on it :)

    • @yogidwitama2480
      @yogidwitama2480 Рік тому

      @@DigitalSreeni 🔥🔥

    • @rahatkibriabhuiyan2426
      @rahatkibriabhuiyan2426 Рік тому

      @@DigitalSreeni
      It is very delightful to hear that you're working with the custom dataset training.
      I would request you to plz look into the matter to plot validation loss graph. I tried a lot of time but can not sort it out. With me tensor board I can plot training loss but not the validation loss. I have also search in the internet many people talk about the hook function or other things but those didn't work to me.
      Thanks in advance.

  • @madeleinedawson8539
    @madeleinedawson8539 Рік тому

    Really helpful and I appreciate all these excellent videos!

  • @madeleinedawson8539
    @madeleinedawson8539 Рік тому

    Thanks!

  • @loocalbertlin6258
    @loocalbertlin6258 Рік тому

    謝謝!

  • @hakankosebas2085
    @hakankosebas2085 Рік тому

    please cover optimization problems, you explain topics very well

  • @robosergTV
    @robosergTV 10 місяців тому

    Huggingface has all models that Detectron2 supports. Some models of Detectron2 (i.e. Mask2Former) can not be exported to ONNX or Torchscript for fast inference. HF does not have this issue.
    Any reason you prefer Detectron2 over HF?

    • @DigitalSreeni
      @DigitalSreeni  9 місяців тому

      Detectron2 is known for its strong support for computer vision tasks, especially in object detection and segmentation. Hugging Face has gained popularity for its comprehensive model hub, which includes models for various natural language processing (NLP) and computer vision tasks. If your primary focus is on models that are readily exportable to ONNX or Torchscript for efficient deployment, Hugging Face might be a preferred choice. Basically the selection between Detectron2 and Hugging Face depends on your specific project requirements and the type of models you intend to use.

  • @lakayhukay
    @lakayhukay Рік тому

    how can i locate caves and tunnels sir? what can i can use

  • @shantilalzanwar8687
    @shantilalzanwar8687 Рік тому

    How can we do basic math on detected region, if overlap is there, calculate area etc? Thanks for great content

  • @bibhutibaibhavbora8770
    @bibhutibaibhavbora8770 Рік тому

    Great video sir

  • @TensorWhisperer
    @TensorWhisperer Рік тому

    Thank you for your videos. Just a question: is there any reason you have not talked at all about YOLO since it is actually state of the art in the area of image processing, object detection, segementation etc.. ?

    • @DigitalSreeni
      @DigitalSreeni  Рік тому +2

      I do not like YOLO for a very simple reason - I work with scientific images and in almost all cases I need masks as output and YOLO cannot do that. YOLO is fast and light weight but I think it is not for scientific images.

    • @TensorWhisperer
      @TensorWhisperer Рік тому

      makes sense. Thank you for your reply @@DigitalSreeni 🙏

    • @tamerzohdy8589
      @tamerzohdy8589 Рік тому

      Yolo algorithm can work with contours (polygons) in segmentation these polygons can be converted to binary masks. so why don't we try it?

    • @michaelcollins399
      @michaelcollins399 Рік тому

      @@DigitalSreeni yolov8 outputs masks as well.

    • @ShadowD2C
      @ShadowD2C Рік тому

      @@DigitalSreenias others have said YOLOv8 outputs masks as well

  • @dounia4109
    @dounia4109 Рік тому

    Hello sir please I need the code for unmasking of masked face by gan

  • @cplusplus-python
    @cplusplus-python Рік тому

    Thanks PRof.
    wondering about Diffusion + GAN models. Would be great if you could make it. Thanks again!

  • @jayakrishna7995
    @jayakrishna7995 Рік тому

    Great ... but sir please continue with microscopic datasets........

  • @Tabelukhan
    @Tabelukhan Рік тому

    Great Sir can you please make a video on Active learning would be grateful to you.!!

  • @manoschaniotakis3328
    @manoschaniotakis3328 11 місяців тому

    mmdetection is superior in code support and features / models, no?

  • @eranfeit
    @eranfeit Рік тому

    Thank you for the tutorial

  • @tamerzohdy8589
    @tamerzohdy8589 Рік тому

    Thanks a lot for these amazing videos.
    Would you please make us some tutorials on Yolo algorithm

  • @РамильАхмедов-м6ъ

    Isn't it already outdated model? Sounds like it does not use VIT.

  • @flloyd
    @flloyd Рік тому

    Thanks!