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GitOrigin-RevId: 27c70b5fe62ab71189d358ca122ee4b19c817a8f
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MediaPipe Team
@@ -113,9 +113,9 @@ each project.
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androidTestImplementation 'androidx.test.ext:junit:1.1.0'
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androidTestImplementation 'androidx.test.espresso:espresso-core:3.1.1'
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// MediaPipe deps
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implementation 'com.google.flogger:flogger:0.3.1'
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implementation 'com.google.flogger:flogger-system-backend:0.3.1'
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implementation 'com.google.code.findbugs:jsr305:3.0.2'
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implementation 'com.google.flogger:flogger:latest.release'
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implementation 'com.google.flogger:flogger-system-backend:latest.release'
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implementation 'com.google.code.findbugs:jsr305:latest.release'
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implementation 'com.google.guava:guava:27.0.1-android'
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implementation 'com.google.protobuf:protobuf-java:3.11.4'
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// CameraX core library
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@@ -31,8 +31,8 @@ stream on an Android device.
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## Setup
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1. Install MediaPipe on your system, see [MediaPipe installation guide] for
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details.
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1. Install MediaPipe on your system, see
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[MediaPipe installation guide](./install.md) for details.
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2. Install Android Development SDK and Android NDK. See how to do so also in
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[MediaPipe installation guide].
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3. Enable [developer options] on your Android device.
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@@ -770,7 +770,6 @@ If you ran into any issues, please see the full code of the tutorial
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[`ExternalTextureConverter`]:https://github.com/google/mediapipe/tree/master/mediapipe/java/com/google/mediapipe/components/ExternalTextureConverter.java
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[`FrameLayout`]:https://developer.android.com/reference/android/widget/FrameLayout
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[`FrameProcessor`]:https://github.com/google/mediapipe/tree/master/mediapipe/java/com/google/mediapipe/components/FrameProcessor.java
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[MediaPipe installation guide]:./install.md
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[`PermissionHelper`]: https://github.com/google/mediapipe/tree/master/mediapipe/java/com/google/mediapipe/components/PermissionHelper.java
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[`SurfaceHolder.Callback`]:https://developer.android.com/reference/android/view/SurfaceHolder.Callback.html
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[`SurfaceView`]:https://developer.android.com/reference/android/view/SurfaceView
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@@ -31,8 +31,8 @@ stream on an iOS device.
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## Setup
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1. Install MediaPipe on your system, see [MediaPipe installation guide] for
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details.
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1. Install MediaPipe on your system, see
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[MediaPipe installation guide](./install.md) for details.
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2. Setup your iOS device for development.
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3. Setup [Bazel] on your system to build and deploy the iOS app.
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@@ -560,6 +560,5 @@ appropriate `BUILD` file dependencies for the edge detection graph.
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[Bazel]:https://bazel.build/
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[`edge_detection_mobile_gpu.pbtxt`]:https://github.com/google/mediapipe/tree/master/mediapipe/graphs/edge_detection/edge_detection_mobile_gpu.pbtxt
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[MediaPipe installation guide]:./install.md
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[common]:(https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/common)
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[helloworld]:(https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/helloworld)
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@@ -22,6 +22,7 @@ Solution | NPM Package | Example
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[Face Detection][Fd-pg] | [@mediapipe/face_detection][Fd-npm] | [mediapipe.dev/demo/face_detection][Fd-demo]
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[Hands][H-pg] | [@mediapipe/hands][H-npm] | [mediapipe.dev/demo/hands][H-demo]
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[Holistic][Ho-pg] | [@mediapipe/holistic][Ho-npm] | [mediapipe.dev/demo/holistic][Ho-demo]
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[Objectron][Ob-pg] | [@mediapipe/objectron][Ob-npm] | [mediapipe.dev/demo/objectron][Ob-demo]
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[Pose][P-pg] | [@mediapipe/pose][P-npm] | [mediapipe.dev/demo/pose][P-demo]
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[Selfie Segmentation][S-pg] | [@mediapipe/selfie_segmentation][S-npm] | [mediapipe.dev/demo/selfie_segmentation][S-demo]
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@@ -67,33 +68,24 @@ affecting your work, restrict your request to a `<minor>` number. e.g.,
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[F-pg]: ../solutions/face_mesh#javascript-solution-api
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[Fd-pg]: ../solutions/face_detection#javascript-solution-api
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[H-pg]: ../solutions/hands#javascript-solution-api
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[Ob-pg]: ../solutions/objectron#javascript-solution-api
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[P-pg]: ../solutions/pose#javascript-solution-api
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[S-pg]: ../solutions/selfie_segmentation#javascript-solution-api
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[Ho-npm]: https://www.npmjs.com/package/@mediapipe/holistic
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[F-npm]: https://www.npmjs.com/package/@mediapipe/face_mesh
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[Fd-npm]: https://www.npmjs.com/package/@mediapipe/face_detection
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[H-npm]: https://www.npmjs.com/package/@mediapipe/hands
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[Ob-npm]: https://www.npmjs.com/package/@mediapipe/objectron
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[P-npm]: https://www.npmjs.com/package/@mediapipe/pose
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[S-npm]: https://www.npmjs.com/package/@mediapipe/selfie_segmentation
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[draw-npm]: https://www.npmjs.com/package/@mediapipe/drawing_utils
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[cam-npm]: https://www.npmjs.com/package/@mediapipe/camera_utils
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[ctrl-npm]: https://www.npmjs.com/package/@mediapipe/control_utils
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[Ho-jsd]: https://www.jsdelivr.com/package/npm/@mediapipe/holistic
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[F-jsd]: https://www.jsdelivr.com/package/npm/@mediapipe/face_mesh
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[Fd-jsd]: https://www.jsdelivr.com/package/npm/@mediapipe/face_detection
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[H-jsd]: https://www.jsdelivr.com/package/npm/@mediapipe/hands
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[P-jsd]: https://www.jsdelivr.com/package/npm/@mediapipe/pose
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[P-jsd]: https://www.jsdelivr.com/package/npm/@mediapipe/selfie_segmentation
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[Ho-pen]: https://code.mediapipe.dev/codepen/holistic
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[F-pen]: https://code.mediapipe.dev/codepen/face_mesh
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[Fd-pen]: https://code.mediapipe.dev/codepen/face_detection
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[H-pen]: https://code.mediapipe.dev/codepen/hands
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[P-pen]: https://code.mediapipe.dev/codepen/pose
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[S-pen]: https://code.mediapipe.dev/codepen/selfie_segmentation
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[Ho-demo]: https://mediapipe.dev/demo/holistic
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[F-demo]: https://mediapipe.dev/demo/face_mesh
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[Fd-demo]: https://mediapipe.dev/demo/face_detection
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[H-demo]: https://mediapipe.dev/demo/hands
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[Ob-demo]: https://mediapipe.dev/demo/objectron
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[P-demo]: https://mediapipe.dev/demo/pose
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[S-demo]: https://mediapipe.dev/demo/selfie_segmentation
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[npm]: https://www.npmjs.com/package/@mediapipe
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@@ -74,7 +74,7 @@ Mapping\[str, Packet\] | std::map<std::string, Packet> | create_st
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np.ndarray<br>(cv.mat and PIL.Image) | mp::ImageFrame | create_image_frame(<br> format=ImageFormat.SRGB,<br> data=mat) | get_image_frame(packet)
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np.ndarray | mp::Matrix | create_matrix(data) | get_matrix(packet)
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Google Proto Message | Google Proto Message | create_proto(proto) | get_proto(packet)
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List\[Proto\] | std::vector\<Proto\> | create_proto_vector(proto_list) | get_proto_list(packet)
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List\[Proto\] | std::vector\<Proto\> | n/a | get_proto_list(packet)
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It's not uncommon that users create custom C++ classes and and send those into
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the graphs and calculators. To allow the custom classes to be used in Python
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