/
FaceDetectionActivity.java
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/
FaceDetectionActivity.java
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/*
* Copyright 2020 Google LLC. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.google.example.mlkit;
import android.graphics.PointF;
import android.graphics.Rect;
import android.os.Bundle;
import androidx.annotation.NonNull;
import androidx.appcompat.app.AppCompatActivity;
import com.google.android.gms.tasks.OnFailureListener;
import com.google.android.gms.tasks.OnSuccessListener;
import com.google.android.gms.tasks.Task;
import com.google.mlkit.vision.common.InputImage;
import com.google.mlkit.vision.face.Face;
import com.google.mlkit.vision.face.FaceContour;
import com.google.mlkit.vision.face.FaceDetection;
import com.google.mlkit.vision.face.FaceDetector;
import com.google.mlkit.vision.face.FaceDetectorOptions;
import com.google.mlkit.vision.face.FaceLandmark;
import java.util.List;
public class FaceDetectionActivity extends AppCompatActivity {
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
}
private void detectFaces(InputImage image) {
// [START set_detector_options]
FaceDetectorOptions options =
new FaceDetectorOptions.Builder()
.setPerformanceMode(FaceDetectorOptions.PERFORMANCE_MODE_ACCURATE)
.setLandmarkMode(FaceDetectorOptions.LANDMARK_MODE_ALL)
.setClassificationMode(FaceDetectorOptions.CLASSIFICATION_MODE_ALL)
.setMinFaceSize(0.15f)
.enableTracking()
.build();
// [END set_detector_options]
// [START get_detector]
FaceDetector detector = FaceDetection.getClient(options);
// Or use the default options:
// FaceDetector detector = FaceDetection.getClient();
// [END get_detector]
// [START run_detector]
Task<List<Face>> result =
detector.process(image)
.addOnSuccessListener(
new OnSuccessListener<List<Face>>() {
@Override
public void onSuccess(List<Face> faces) {
// Task completed successfully
// [START_EXCLUDE]
// [START get_face_info]
for (Face face : faces) {
Rect bounds = face.getBoundingBox();
float rotY = face.getHeadEulerAngleY(); // Head is rotated to the right rotY degrees
float rotZ = face.getHeadEulerAngleZ(); // Head is tilted sideways rotZ degrees
// If landmark detection was enabled (mouth, ears, eyes, cheeks, and
// nose available):
FaceLandmark leftEar = face.getLandmark(FaceLandmark.LEFT_EAR);
if (leftEar != null) {
PointF leftEarPos = leftEar.getPosition();
}
// If classification was enabled:
if (face.getSmilingProbability() != null) {
float smileProb = face.getSmilingProbability();
}
if (face.getRightEyeOpenProbability() != null) {
float rightEyeOpenProb = face.getRightEyeOpenProbability();
}
// If face tracking was enabled:
if (face.getTrackingId() != null) {
int id = face.getTrackingId();
}
}
// [END get_face_info]
// [END_EXCLUDE]
}
})
.addOnFailureListener(
new OnFailureListener() {
@Override
public void onFailure(@NonNull Exception e) {
// Task failed with an exception
// ...
}
});
// [END run_detector]
}
private void faceOptionsExamples() {
// [START mlkit_face_options_examples]
// 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)
.build();
// Real-time contour detection
FaceDetectorOptions realTimeOpts =
new FaceDetectorOptions.Builder()
.setContourMode(FaceDetectorOptions.CONTOUR_MODE_ALL)
.build();
// [END mlkit_face_options_examples]
}
private void processFaceList(List<Face> faces) {
// [START mlkit_face_list]
for (Face face : faces) {
Rect bounds = face.getBoundingBox();
float rotY = face.getHeadEulerAngleY(); // Head is rotated to the right rotY degrees
float rotZ = face.getHeadEulerAngleZ(); // Head is tilted sideways rotZ degrees
// If landmark detection was enabled (mouth, ears, eyes, cheeks, and
// nose available):
FaceLandmark leftEar = face.getLandmark(FaceLandmark.LEFT_EAR);
if (leftEar != null) {
PointF leftEarPos = leftEar.getPosition();
}
// If contour detection was enabled:
List<PointF> leftEyeContour =
face.getContour(FaceContour.LEFT_EYE).getPoints();
List<PointF> upperLipBottomContour =
face.getContour(FaceContour.UPPER_LIP_BOTTOM).getPoints();
// If classification was enabled:
if (face.getSmilingProbability() != null) {
float smileProb = face.getSmilingProbability();
}
if (face.getRightEyeOpenProbability() != null) {
float rightEyeOpenProb = face.getRightEyeOpenProbability();
}
// If face tracking was enabled:
if (face.getTrackingId() != null) {
int id = face.getTrackingId();
}
}
// [END mlkit_face_list]
}
}