Facial Landmark Detection | OpenCV | Python | Mediapipe

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  • Опубликовано: 26 дек 2024

Комментарии • 17

  • @sasrikaneewin818
    @sasrikaneewin818 Месяц назад +1

    Very clear explanation!! You are really doing a great job out there !

  • @AllahRakha-e8o
    @AllahRakha-e8o 4 месяца назад +1

    Very well explained. Time saver

  • @shanlk366
    @shanlk366 Год назад +1

    can we do same thing to image not to like real time?

  • @bilalyarankakar3131
    @bilalyarankakar3131 8 месяцев назад +1

    I really enjoy your videos. You explain everything very well! Can you please make videos about transformers and encoder decoders ? With the implementation? Thank you

    • @MachineLearningWithJay
      @MachineLearningWithJay  8 месяцев назад +1

      Thank you so much! I have plan on creating videos on that topic. It might take some time though. But thanks for suggestion, I will try to make that as a priority :)

  • @shukurullomeliboyev2004
    @shukurullomeliboyev2004 7 месяцев назад

    how can i get list of index face mesh

  • @kaelthunderhoof5619
    @kaelthunderhoof5619 9 месяцев назад

    What versionof Python do you use?

  • @aicineverse-o2f
    @aicineverse-o2f 2 года назад +2

    please make the video on Decision Tree Algoritham

  • @GuvenSenturk
    @GuvenSenturk Год назад

    How caan we do this for multiple faces

  • @imranshaikh-ez4ht
    @imranshaikh-ez4ht 2 года назад +1

    How to crop images using mediapipe

    • @MachineLearningWithJay
      @MachineLearningWithJay  2 года назад

      Hi, mediapipe does not provide api to crop images. For that you checkout PIL (Python Imaging Library)

    • @imranshaikh-ez4ht
      @imranshaikh-ez4ht 2 года назад

      @@MachineLearningWithJay ok I will try...thank you

  • @dheerajreddygadi505
    @dheerajreddygadi505 Год назад +1

    brother please create project related to video data not images
    like human activity recognition in real time

  • @PumaTomb
    @PumaTomb Год назад

    The imshow() issue with Jupyter and CV2 notebooks ruins this great tutorial. Running this code crashes my machine.