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Examples
Below are code samples on how to run MediaPipe on both mobile and desktop. We currently support MediaPipe APIs on mobile for Android only but will add support for Objective-C shortly.
Mobile
Hello World! on Android
This should be the first mobile Android example users go through in detail. It teaches the following:
- Introduction of a simple MediaPipe graph running on mobile GPUs for Sobel edge detection.
- Building a simple baseline Android application that displays "Hello World!".
- Adding camera preview support into the baseline application using the Android CameraX API.
- Incorporating the Sobel edge detection graph to process the live camera preview and display the processed video in real-time.
Hello World! on iOS
This is the iOS version of Sobel edge detection example.
Face Detection
Face Mesh
Hand
Hair Segmentation
Object Detection
Box Tracking
Objectron: 3D Object Detection
KNIFT: Template-based Feature Matching
Desktop
Hello World for C++
This shows how to run a simple graph using the MediaPipe C++ APIs.
Face Detection
Face Mesh
Hand
Hair Segmentation
Object Detection
Box Tracking
AutoFlip - Semantic-aware Video Cropping
Preparing Data Sets with MediaSequence
This shows how to use MediaPipe for media processing to prepare video data sets for training a TensorFlow model.
Feature Extraction and Model Inference for YouTube-8M Challenge
This shows how to use MediaPipe to prepare training data for the YouTube-8M Challenge and do the model inference with the baseline model.
Google Coral (ML acceleration with Google EdgeTPU)
Face Detection
Object Detection
Web Browser
See more details here and Google Developer blog post.