Running a TensorFlow object detector model and drawing boxes around objects at 60 FPS - all in React Native / JavaScript!

This page summarizes the projects mentioned and recommended in the original post on /r/reactnative
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  1. react-native-vision-camera

    📸 A powerful, high-performance React Native Camera library.

    This is a demonstration of what VisionCamera V3 is capable of - I built a small plugin to load any TensorFlow Model (.tflite) from resources and run it on every Camera Frame. This is going to be a game-changer, since the developer no longer needs to write native code for such complex tasks - it only takes a few lines of JavaScript to spin up a Camera, do real-time processing with a TensorFlow model, and draw anything to the Frame. Magic!

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  3. tfjs-models

    Pretrained models for TensorFlow.js

    I am wondering, will this also work with tensoflow.js or only tflite? I'd like to use this hand pose estimation from mediapipe: https://github.com/tensorflow/tfjs-models/tree/master/hand-pose-detection

  4. mediapipe

    Cross-platform, customizable ML solutions for live and streaming media.

    You can just grab the TFLite version! https://github.com/google/mediapipe/blob/master/docs/solutions/models.md

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