Facial Landmark Detection | OpenCV | Python | Mediapipe

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  • Опубликовано: 26 авг 2024

Комментарии • 15

  • @user-jd3nm2tt4i
    @user-jd3nm2tt4i 19 дней назад

    Very well explained. Time saver

  • @bilalyarankakar3131
    @bilalyarankakar3131 4 месяца 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

    • @CodingLane
      @CodingLane  4 месяца 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 :)

  • @shanlk366
    @shanlk366 11 месяцев назад +1

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

  • @shukurullomeliboyev2004
    @shukurullomeliboyev2004 3 месяца назад

    how can i get list of index face mesh

  • @revanthrajam
    @revanthrajam Год назад +2

    please make the video on Decision Tree Algoritham

    • @CodingLane
      @CodingLane  Год назад

      Thanks for the suggestion… My next playlist is gonna be on that only!

    • @revanthrajam
      @revanthrajam Год назад

      @@CodingLane waiting bro

  • @kaelthunderhoof5619
    @kaelthunderhoof5619 5 месяцев назад

    What versionof Python do you use?

  • @dheerajreddygadi505
    @dheerajreddygadi505 9 месяцев назад +1

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

  • @GuvenSenturk
    @GuvenSenturk Год назад

    How caan we do this for multiple faces

  • @imranshaikh-ez4ht
    @imranshaikh-ez4ht Год назад +1

    How to crop images using mediapipe

    • @CodingLane
      @CodingLane  Год назад

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

    • @imranshaikh-ez4ht
      @imranshaikh-ez4ht Год назад

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

  • @PumaTomb
    @PumaTomb Год назад

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