Rezultati pretraživanja
  1. 2. velj

    Develops an On-Device, Real-Time Hand Tracking to translate hand gesture into language without specific equipment like gloves

  2. 31. sij

    Learn what is and how you can use it from .

  3. 31. sij

    Google brings cross-platform AI pipeline framework MediaPipe to the web

  4. 30. sij
  5. 29. sij

    Google запустил в веб - AppTractor

  6. 28. sij

    New goodies from colleagues at ! All effects - edge detection, face detection, hair segmentation, and hand tracking - now can run inside a Web browser, powered by XNNPACK and

  7. 31. pro 2019.
  8. 27. pro 2019.
  9. is an Perception Pipeline Framework Developed by

  10. 19. pro 2019.

    ハンドジェスチャーを試しに実装したので記事を書きました。

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  11. 11. pro 2019.

    Ming Yong is introducing the open source framework which is launched by Google in June 2019 to a packed room! 💻👨‍💻

  12. Blog: On-Device, Real-Time Hand Tracking (= Interpret and Read Aloud Sign Language🤟) with . Google states that its new project allows smartphones to interpret and “read aloud” sign language.

  13. 13. stu 2019.

    join us the AI tech talk series in Europe. Building real time cross platform video audio ML pipelines with , by from and Dec 11 in Dec. 12 in Dec. 16 in ,

  14. 23. ruj 2019.

    TensorFlow LiteのUnityポートでmediapipeのハンドトラッキングを試してます。手の検出まで実装してみて(バウンディングボックスがズレてますが)ひとまず動きました。GPU用のデリゲートを書いていないのでまだ重たいですね。 コードはこちら。

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  15. 5. ruj 2019.

    Google just releases an open-source hand-tracking model running on mobile using MediaPipe/TensorFlow Lite ✋👌👍 Full article here

  16. 31. kol 2019.
  17. 28. kol 2019.

    has released , an ML-based light-weight framework which only uses a and AI- based processing to do accurate realtime on .

  18. On-Device, Real-Time Hand Tracking with MediaPipe: Today announcing the release of a new approach to hand perception, which they previewed CVPR 2019 in June, implemented in —an cross platform framework

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