What is the difference between MediaPipe and TensorFlow?

Purpose: MediaPipe focuses on building real-time applications with optimised models for on-device inference. TensorFlow is a versatile machine learning framework for training and deploying various models, including those used by MediaPipe.

Relationship: MediaPipe pipelines utilise TensorFlow models for on-device processing.


Related Questions:

Is MediaPipe deep learning?

Is MediaPipe better than OpenCV?

Can MediaPipe be used Commercially?

Is MediaPipe better than OpenPose? 

Should I use TensorFlow or OpenCV?