Deploying Custom Gesture Recognition Models with MediaPipe on Android
This project implements a high-performance real-time gesture recognition Android application based on the Google MediaPipe and Android CameraX technology stacks. It adopts MediaPipe's latest Gesture Recognition API, supporting the recognition of various gesture types, including common gestures such as thumb-up, victory sign, and open palm. Additionally, it features real-time hand key point detection and drawing functionality.
Read MoreCustom Gesture Recognition Training Model with MediaPipe
MediaPipe is an open-source framework developed by Google for building perception pipelines to process time-series data such as video and audio. Among its components, MediaPipe Hands is a high-performance hand key-point detection solution capable of real-time hand key-point detection on mobile devices.
Read MoreUsing Mediapipe Framework on Android
Your implementation is very close to completion, but to ensure everything works properly, I will provide a more complete code example with some improvements and optimizations. Additionally, I will explain the role of each part in detail. ### Complete Code First, we need to import the necessary libraries: ```java import android.content.pm.PackageManager; import android.os.Bundle; import android.view.Surfa ``` (Note: The original code snippet appears to be incomplete here, as the `Surfa` import is likely cut off, probably intended to be `SurfaceView` or similar view-related class. The translation assumes the code continues with standard Android view setup and functionality.)
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