pyBegin / projects / handtrack
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Hand Track

Real-time hand tracking with OpenCV and MediaPipe. base.py and HTrackMod.py detect and draw hand landmarks from the webcam, and VolumeControl.py ma…

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View source folder on GitHub →contributed by@bibaswanroy

Hand Track

Real-time hand tracking with OpenCV and MediaPipe. base.py and HTrackMod.py detect and draw hand landmarks from the webcam, and VolumeControl.py maps the pinch distance between fingers to the system volume.

Example

  1. Run python base.py. A webcam window opens showing the live feed.
  2. Hold a hand in front of the camera — MediaPipe detects it and draws 21 landmarks (green dots and connecting lines) over each finger joint.
  3. The frame rate (FPS) is printed to the console each second.
  4. To control system volume, run python VolumeControl.py instead. Pinch your thumb and index finger together to lower the volume; spread them apart to raise it.
  5. Press q to quit.

How to run on localhost

pip install opencv-python mediapipe numpy pycaw comtypes
python base.py

Dependencies