Does detect faces need google play store? - google-mlkit

Question

i used the Detect faces with ML Kit on Android.i can get the result of detection, but the console printed the warning that
"W/GooglePlayServicesUtil: com.example.mlkitfacedemo requires the Google Play Store, but it is missing.
W/GoogleApiManager: The service for com.google.android.gms.common.internal.service.zap is not available: ConnectionResult{statusCode=SERVICE_INVALID, resolution=null, message=null}"
thanks for your help.
this is my whole code
// MainActivity2.java
public class MainActivity2 extends AppCompatActivity {
ImageView beforeIV, afterIV;
int imageMaxWidth;
int imageMaxHeight;
Bitmap resizedBitmap;
TextView tv;
private static final int[] COLORS = {
Color.TRANSPARENT,
Color.BLUE,
Color.RED,
Color.YELLOW,
Color.GREEN,
Color.MAGENTA,
Color.BLUE,
Color.RED,
Color.RED,
Color.BLUE,
Color.GRAY,
Color.LTGRAY,
Color.YELLOW,
Color.BLUE,
Color.CYAN,
Color.GREEN
};
#Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_main2);
beforeIV = findViewById(R.id.before);
// beforeIV.setImageResource(R.drawable.grapefruit);
afterIV = findViewById(R.id.after);
Bitmap bitmap = BitmapFactory.decodeResource(getResources(), R.drawable.grapefruit);
tv = findViewById(R.id.textView);
View rootView = findViewById(R.id.root);
rootView.getViewTreeObserver()
.addOnGlobalLayoutListener(
new ViewTreeObserver.OnGlobalLayoutListener() {
#Override
public void onGlobalLayout() {
rootView.getViewTreeObserver().removeOnGlobalLayoutListener(this);
imageMaxWidth = rootView.getWidth();
imageMaxHeight = rootView.getHeight() / 2;
System.out.println("rootView Size: " + rootView.getWidth() + ", " + rootView.getHeight());
float scaleFactor =
max(
(float) bitmap.getWidth() / (float) imageMaxWidth,
(float) bitmap.getHeight() / (float) imageMaxHeight);
resizedBitmap =
Bitmap.createScaledBitmap(
bitmap,
(int) (bitmap.getWidth() / scaleFactor),
(int) (bitmap.getHeight() / scaleFactor),
true);
beforeIV.setImageBitmap(resizedBitmap);
detect();
}
});
}
private void detect() {
// 准备检测器
// High-accuracy landmark detection and face classification
FaceDetectorOptions highAccuracyOpts =
new FaceDetectorOptions.Builder()
.setPerformanceMode(FaceDetectorOptions.PERFORMANCE_MODE_ACCURATE)
.setLandmarkMode(FaceDetectorOptions.LANDMARK_MODE_ALL)
.setClassificationMode(FaceDetectorOptions.CLASSIFICATION_MODE_ALL)
.setContourMode(FaceDetectorOptions.CONTOUR_MODE_ALL)
.build();
// Real-time contour detection
FaceDetectorOptions realTimeOpts =
new FaceDetectorOptions.Builder()
.setContourMode(FaceDetectorOptions.CONTOUR_MODE_ALL)
.build();
InputImage image = InputImage.fromBitmap(resizedBitmap, 0);
FaceDetector detector = FaceDetection.getClient(highAccuracyOpts);
// Or use the default options:
// FaceDetector detector = FaceDetection.getClient();
Task<List<Face>> result =
detector.process(image)
.addOnSuccessListener(
new OnSuccessListener<List<Face>>() {
#Override
public void onSuccess(List<Face> faces) {
// Task completed successfully
// ...
System.out.println("检测成功");
Face face = faces.get(0);
List<FaceLandmark> allLandmarks = face.getAllLandmarks();
for (int i = 0; i < allLandmarks.size(); i++) {
System.out.println(allLandmarks.get(i).getPosition().x);
System.out.println(allLandmarks.get(i).getPosition().y);
}
Rect bounds = face.getBoundingBox();
Paint boxPaint = new Paint();
boxPaint.setStyle(Paint.Style.STROKE);
boxPaint.setColor(Color.RED);
boxPaint.setStrokeWidth(5.f);
Canvas canvas = new Canvas(resizedBitmap);
canvas.drawRect(bounds, boxPaint);
// getAllContours - 面部133个点
Paint pathPaint = new Paint();
pathPaint.setStrokeWidth(5.f);
pathPaint.setStyle(Paint.Style.STROKE);
List<FaceContour> allContours = face.getAllContours();
System.out.println("allContours size: " + allContours.size());
int sum = 0;
StringBuilder builder = new StringBuilder();
for (int i = 0; i < allContours.size(); i++) {
String string = "allContours[" + i + "]: " + allContours.get(i).getPoints().size();
System.out.println("allContours[" + i + "]: " + allContours.get(i).getPoints().size());
sum += allContours.get(i).getPoints().size();
builder.append(string);
pathPaint.setColor(COLORS[i]);
List<PointF> points = allContours.get(i).getPoints();
float bx = points.get(0).x;
float by = points.get(0).y;
for (int j = 0; j < points.size(); j++) {
float cx = points.get(j).x;
float cy = points.get(j).y;
String str = "points[" + j + "]: (" + cx + ", " + cy + "), ";
builder.append(str);
canvas.drawLine(bx, by, cx, cy, pathPaint);
bx = cx;
by = cy;
}
builder.append("\n");
}
System.out.println("sum: " + sum);
tv.setText(builder.toString());
runOnUiThread(() -> {
afterIV.setImageBitmap(resizedBitmap);
});
}
})
.addOnFailureListener(
new OnFailureListener() {
#Override
public void onFailure(#NonNull Exception e) {
// Task failed with an exception
// ...
System.out.println("检测失败");
e.printStackTrace();
}
});
}
}
// activity_main2.xml
<?xml version="1.0" encoding="utf-8"?>
<androidx.constraintlayout.widget.ConstraintLayout xmlns:android="http://schemas.android.com/apk/res/android"
xmlns:app="http://schemas.android.com/apk/res-auto"
xmlns:tools="http://schemas.android.com/tools"
android:id="#+id/root"
android:layout_width="match_parent"
android:layout_height="match_parent"
android:keepScreenOn="true"
tools:context=".MainActivity2">
<ImageView
android:id="#+id/before"
android:layout_width="match_parent"
android:layout_height="wrap_content"
app:layout_constraintTop_toTopOf="parent"/>
<ImageView
android:id="#+id/after"
android:layout_width="wrap_content"
android:layout_height="wrap_content"
app:layout_constraintTop_toTopOf="#id/before"
app:layout_constraintLeft_toLeftOf="#id/before"
app:layout_constraintLeft_toRightOf="#id/before"
app:layout_constraintBottom_toBottomOf="#id/before"/>
<TextView
android:id="#+id/textView"
android:layout_width="match_parent"
android:layout_height="wrap_content"
app:layout_constraintTop_toBottomOf="#id/before"
app:layout_constraintBottom_toBottomOf="parent"/>
</androidx.constraintlayout.widget.ConstraintLayout>
// in build.gradle
dependencies {
...
// google mlkit face detection
implementation 'com.google.mlkit:face-detection:16.1.5'
...
}