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mediapipe-hands

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This project integrates MediaPipe Solutions with Node.js and Express for real-time computer vision tasks. It showcases examples of image segmentation, hand and face detection, and pose detection, with a combined example for all three types of landmark detection.

  • Updated Sep 29, 2024
  • JavaScript

This project showcases the use of an ESP32-CAM with micro-ROS and an OLED screen to capture an image of a hand. The captured image is encapsulated in a custom micro-ROS message and sent to Huawei Cloud, where a Docker container running ROS2 Humble analyzes it using OpenCV and MediaPipe to identify whether the hand is showing rock, paper, or scissor

  • Updated Sep 24, 2024
  • C++

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