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PiperOrigin-RevId: 264105834
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MediaPipe Team
2019-08-19 08:50:18 +00:00
committed by Camillo Lugaresi
parent 71a47bb18b
commit f5df228d9b
28 changed files with 276 additions and 257 deletions
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mediapipe/docs/object_detection_mobile_gpu.md
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@@ -8,33 +8,24 @@ that performs object detection with TensorFlow Lite on GPU.
## Android
Please see [Hello World! in MediaPipe on Android](hello_world_android.md) for
general instructions to develop an Android application that uses MediaPipe.
[Source](https://github.com/google/mediapipe/tree/master/mediapipe/examples/android/src/java/com/google/mediapipe/apps/objectdetectiongpu)
The graph below is used in the
[Object Detection GPU Android example app](https://github.com/google/mediapipe/tree/master/mediapipe/examples/android/src/java/com/google/mediapipe/apps/objectdetectiongpu).
To build the app, run:
To build and install the app:
```bash
bazel build -c opt --config=android_arm64 mediapipe/examples/android/src/java/com/google/mediapipe/apps/objectdetectiongpu
```
To further install the app on an Android device, run:
```bash
adb install bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/objectdetectiongpu/objectdetectiongpu.apk
```
## iOS
Please see [Hello World! in MediaPipe on iOS](hello_world_ios.md) for general
instructions to develop an iOS application that uses MediaPipe.
[Source](https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/objectdetectiongpu).
The graph below is used in the
[Object Detection GPU iOS example app](https://github.com/google/mediapipe/tree/master/mediapipe/examples/ios/objectdetectiongpu).
To build the app, please see the general
[MediaPipe iOS app building and setup instructions](./mediapipe_ios_setup.md).
Specific to this example, run:
See the general [instructions](./mediapipe_ios_setup.md) for building iOS
examples and generating an Xcode project. This will be the ObjectDetectionGpuApp
target.
To build on the command line:
```bash
bazel build -c opt --config=ios_arm64 mediapipe/examples/ios/objectdetectiongpu:ObjectDetectionGpuApp
@@ -51,7 +42,7 @@ below and paste it into [MediaPipe Visualizer](https://viz.mediapipe.dev/).
```bash
# MediaPipe graph that performs object detection with TensorFlow Lite on GPU.
# Used in the example in
# Used in the examples in
# mediapipie/examples/android/src/java/com/mediapipe/apps/objectdetectiongpu and
# mediapipie/examples/ios/objectdetectiongpu.
@@ -218,9 +209,7 @@ node {
}
}
# Draws annotations and overlays them on top of a GPU copy of the original
# image coming into the graph. The calculator assumes that image origin is
# always at the top-left corner and renders text accordingly.
# Draws annotations and overlays them on top of the input images.
node {
calculator: "AnnotationOverlayCalculator"
input_stream: "INPUT_FRAME_GPU:throttled_input_video"