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hand-landmarks

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六区刷牙识别算法:通过手机前置摄像头定位人脸口部、手部姿态和牙刷位置,先校正镜像画面的左右关系,再以人脸相对坐标判断左上、上前、右上、左下、下前、右下六个刷牙区域。算法融合牙刷头几何定位、局部轻量视觉分类、个人校准和多帧平滑,降低单帧抖动与前区上下误判;识别不确定时保守地不输出,并支持标注采样、CSV 评估与针对性迭代。

  • Updated Aug 6, 2026
  • Kotlin

This Python script utilizes OpenCV and MediaPipe to create a hand gesture recognition game. The game detects hand gestures captured through a webcam feed and prompts the user to mimic a randomized sequence of hand signs. It evaluates the user's performance based on the accuracy and speed of their gesture reproductions.

  • Updated Mar 17, 2025
  • Python

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