talksik/mediapipe
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Project import generated by Copybara.

Browse Source 
GitOrigin-RevId: ff83882955f1a1e2a043ff4e71278be9d7217bbe
This commit is contained in:
MediaPipe Team
2021-05-05 14:56:16 -04:00
committed by chuoling
parent ecb5b5f44a
commit a9b643e0f5
210 changed files with 5312 additions and 3838 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/getting_started/android_archive_library.md
+22 -30
View File
@@ -37,7 +37,7 @@ each project.
load("//mediapipe/java/com/google/mediapipe:mediapipe_aar.bzl", "mediapipe_aar")
mediapipe_aar(
name = "mp_face_detection_aar",
name = "mediapipe_face_detection",
calculators = ["//mediapipe/graphs/face_detection:mobile_calculators"],
)
```
@@ -45,26 +45,29 @@ each project.
2. Run the Bazel build command to generate the AAR.
```bash
bazel build -c opt --host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
--fat_apk_cpu=arm64-v8a,armeabi-v7a --strip=ALWAYS \
//path/to/the/aar/build/file:aar_name
bazel build -c opt --strip=ALWAYS \
--host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
--fat_apk_cpu=arm64-v8a,armeabi-v7a \
//path/to/the/aar/build/file:aar_name.aar
```
For the face detection AAR target we made in the step 1, run:
For the face detection AAR target we made in step 1, run:
```bash
bazel build -c opt --host_crosstool_top=@bazel_tools//tools/cpp:toolchain --fat_apk_cpu=arm64-v8a,armeabi-v7a \
//mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example:mp_face_detection_aar
bazel build -c opt --strip=ALWAYS \
--host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
--fat_apk_cpu=arm64-v8a,armeabi-v7a \
//mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example:mediapipe_face_detection.aar
# It should print:
# Target //mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example:mp_face_detection_aar up-to-date:
# bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example/mp_face_detection_aar.aar
# Target //mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example:mediapipe_face_detection.aar up-to-date:
# bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example/mediapipe_face_detection.aar
```
3. (Optional) Save the AAR to your preferred location.
```bash
cp bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example/mp_face_detection_aar.aar
cp bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example/mediapipe_face_detection.aar
/absolute/path/to/your/preferred/location
```
@@ -75,7 +78,7 @@ each project.
2. Copy the AAR into app/libs.
```bash
cp bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example/mp_face_detection_aar.aar
cp bazel-bin/mediapipe/examples/android/src/java/com/google/mediapipe/apps/aar_example/mediapipe_face_detection.aar
/path/to/your/app/libs/
```
@@ -92,29 +95,14 @@ each project.
[the face detection tflite model](https://github.com/google/mediapipe/tree/master/mediapipe/modules/face_detection/face_detection_front.tflite).
```bash
bazel build -c opt mediapipe/mediapipe/graphs/face_detection:mobile_gpu_binary_graph
cp bazel-bin/mediapipe/graphs/face_detection/mobile_gpu.binarypb /path/to/your/app/src/main/assets/
bazel build -c opt mediapipe/graphs/face_detection:face_detection_mobile_gpu_binary_graph
cp bazel-bin/mediapipe/graphs/face_detection/face_detection_mobile_gpu.binarypb /path/to/your/app/src/main/assets/
cp mediapipe/modules/face_detection/face_detection_front.tflite /path/to/your/app/src/main/assets/
```
![Screenshot](../images/mobile/assets_location.png)
4. Make app/src/main/jniLibs and copy OpenCV JNI libraries into
app/src/main/jniLibs.
MediaPipe depends on OpenCV, you will need to copy the precompiled OpenCV so
files into app/src/main/jniLibs. You can download the official OpenCV
Android SDK from
[here](https://github.com/opencv/opencv/releases/download/3.4.3/opencv-3.4.3-android-sdk.zip)
and run:
```bash
cp -R ~/Downloads/OpenCV-android-sdk/sdk/native/libs/arm* /path/to/your/app/src/main/jniLibs/
```
![Screenshot](../images/mobile/android_studio_opencv_location.png)
5. Modify app/build.gradle to add MediaPipe dependencies and MediaPipe AAR.
4. Modify app/build.gradle to add MediaPipe dependencies and MediaPipe AAR.
```
dependencies {
@@ -136,10 +124,14 @@ each project.
implementation "androidx.camera:camera-core:$camerax_version"
implementation "androidx.camera:camera-camera2:$camerax_version"
implementation "androidx.camera:camera-lifecycle:$camerax_version"
// AutoValue
def auto_value_version = "1.6.4"
implementation "com.google.auto.value:auto-value-annotations:$auto_value_version"
annotationProcessor "com.google.auto.value:auto-value:$auto_value_version"
}
```
6. Follow our Android app examples to use MediaPipe in Android Studio for your
5. Follow our Android app examples to use MediaPipe in Android Studio for your
use case. If you are looking for an example, a face detection example can be
found
[here](https://github.com/jiuqiant/mediapipe_face_detection_aar_example) and