As a result, you can use our APIs for processing data that should not leave the device. images, video, text) fully happens on-device, and MediaPipe does not send that input data to Google servers. When you use MediaPipe Solution APIs, processing of the input data (e.g.

Please check back from time to time as these terms and policies are occasionally updated. Use of MediaPipe Solution APIs is subject to the Google APIs Terms of Service, Google API Services User Data Policy, and the terms below. If needed, for example to run the apps on Android Emulator, set the RUN_ON_GPU boolean variable to false in the app’s MainActivity.java to run the pipeline and model inference on CPU. MediaPipe solution example apps run the pipeline and model inference on GPU by default. Run solution example app in Android Studio. Select “File” -> “Sync Project with Gradle Files” to sync project. Import mediapipe/examples/android/solutions directory into Android Studio.įor Windows users, run create_win_symlinks.bat as administrator to create res directory symlinks. Open Android Studio Arctic Fox on Linux, macOS, or Windows. Building solution example appsĭetailed usage examples of the Android Solution APIs can be found in the source code of the solution example apps. If you need further customization, instead of using the prebuilt maven packages consider building a MediaPipe Android Archive library locally from source by following these instructions. Implementation ':facemesh:latest.release'

Optional: MediaPipe Face Mesh Solution. Implementation ':facedetection:latest.release' Optional: MediaPipe Face Detection Solution. Implementation ':solution-core:latest.release' MediaPipe solution-core is the foundation of any MediaPipe Solutions.

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YouTube-8M Feature Extraction and Model Inference.

AutoFlip (Saliency-aware Video Cropping).

KNIFT (Template-based Feature Matching).

Android studio gradle menu