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MediaPipe Android Solutions
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MediaPipe Android Solution APIs (currently in alpha) are available in:
Incorporation in Android Studio
Prebuilt packages of Android Solution APIs can be found in Google's Maven Repository. To incorporate them into an Android Studio project, add the following into the project's Gradle dependencies:
dependencies {
// MediaPipe solution-core is the foundation of any MediaPipe Solutions.
implementation 'com.google.mediapipe:solution-core:latest.release'
// Optional: MediaPipe Face Detection Solution.
implementation 'com.google.mediapipe:facedetection:latest.release'
// Optional: MediaPipe Face Mesh Solution.
implementation 'com.google.mediapipe:facemesh:latest.release'
// Optional: MediaPipe Hands Solution.
implementation 'com.google.mediapipe:hands:latest.release'
// MediaPipe deps
implementation 'com.google.flogger:flogger:0.6'
implementation 'com.google.flogger:flogger-system-backend:0.6'
implementation 'com.google.guava:guava:27.0.1-android'
implementation 'com.google.protobuf:protobuf-java:3.11.4'
// CameraX core library
def camerax_version = "1.0.0-beta10"
implementation "androidx.camera:camera-core:$camerax_version"
implementation "androidx.camera:camera-camera2:$camerax_version"
implementation "androidx.camera:camera-lifecycle:$camerax_version"
}
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.
Building solution example apps
Detailed usage examples of the Android Solution APIs can be found in the source code of the solution example apps.
To build these apps:
-
Open Android Studio Arctic Fox on Linux, macOS, or Windows.
-
Import mediapipe/examples/android/solutions directory into Android Studio.
-
For Windows users, run
create_win_symlinks.bat
as administrator to create res directory symlinks. -
Select "File" -> "Sync Project with Gradle Files" to sync project.
-
Run solution example app in Android Studio.
-
(Optional) Run solutions on CPU.
MediaPipe solution example apps run the pipeline and model inference on GPU by default. If needed, for example to run the apps on Android Emulator, set the
RUN_ON_GPU
boolean variable tofalse
in the app'sMainActivity.java
to run the pipeline and model inference on CPU.