Android基于虹软(ArcSoft)实现人脸识别
1、在虹软的开发者中心创建一个自己的应用，将APP_ID与SDK_KEY记录下来，后面会用到。创建完后就可以下载SDK了。
2、下载完后，就可以根据SDK包里的开发说明文档和代码进行参考和学习。以下是开发说明文档中的SDK包结构的截图。
3、创建一个空项目，将SDK包里的.jar文件和.so文件复制到该项目的如下包下。接下来的配置十分重要，稍微没处理一个，就是一个头大的bug。
4、“在app里的build.gradle” 第一个红框原本是androidx的，与support是不兼容的，所以要改，因此，整个项目用到androidx的地方都需要改。第二个红框是ndk，加了这个才能找到刚才复制进去的.so文件。第三个红框也要改成如下。下面的dependencies要注意把androidx的改掉。
5、“在整个项目里的build.gradle” 记得加上jcenter()。
6、在gradle.properties里可能会有androidx的东西，也要删掉。
7、在AndroidManifest.xml中的中添加权限申请，在中添加。
manifest：
<uses-permission android:name="android.permission.CAMERA" />
<uses-permission android:name="android.permission.READ_PHONE_STATE" />
<uses-permission android:name="android.permission.INTERNET" />
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE" />
<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE" />
provider:
<provider
android:name="android.support.v4.content.FileProvider"
android:authorities="${applicationId}.provider"
android:exported="false"
android:grantUriPermissions="true">
<meta-data
android:name="android.support.FILE_PROVIDER_PATHS"
android:resource="@xml/provider_paths" />
</provider>
在添加后要在res下创建一个xml包，里面添加一个provider_paths.xml文件，里面的代码如下：
<?xml version="1.0" encoding="utf-8"?>
<paths xmlns:android="http://schemas.android.com/apk/res/android">
<external-path name="external_files" path="."/>
<root-path
name="root_path"
path="." />
</paths>
8、从SDK包中引入如下功能包模块和BaseActivity，并将common包下的Constants中的APP_ID，SDK_KEY改成刚才所记录下来的内容。
9、创建3个acvitity,一个是主界面，一个是人脸库的管理界面，一个是人脸识别功能界面。
10、layout包下需要引入以下5个布局文件。
11、主界面主要的功能就是激活权限、连接动态库和激活引擎，我通过修改onCreate()和util包下的ConfigUtil.class的代码，让其能够自动激活和自动修改为全方向人脸检查（其他选择好像不能够实现人脸识别）。以下是激活引擎的代码。
public void activeEngine(final View view) {
if (!libraryExists) {
Toast.makeText(this, "未找到库文件！", Toast.LENGTH_SHORT).show();
return;
}
if (!checkPermissions(NEEDED_PERMISSIONS)) {
ActivityCompat.requestPermissions(this, NEEDED_PERMISSIONS, ACTION_REQUEST_PERMISSIONS);
return;
}
if (view != null) {
view.setClickable(false);
}
Observable.create(new ObservableOnSubscribe<Integer>() {
@Override
public void subscribe(ObservableEmitter<Integer> emitter) {
int activeCode = FaceEngine.activeOnline(MainActivity.this, Constants.APP_ID, Constants.SDK_KEY);
emitter.onNext(activeCode);
}
})
.subscribeOn(Schedulers.io())
.observeOn(AndroidSchedulers.mainThread())
.subscribe(new Observer<Integer>() {
@Override
public void onSubscribe(Disposable d) {
}
@Override
public void onNext(Integer activeCode) {
if (activeCode == ErrorInfo.MOK) {
Toast.makeText(MainActivity.this, "激活成功！", Toast.LENGTH_SHORT).show();
} else if (activeCode == ErrorInfo.MERR_ASF_ALREADY_ACTIVATED){
Toast.makeText(MainActivity.this, "已激活！", Toast.LENGTH_SHORT).show();
} else {
Toast.makeText(MainActivity.this, "激活失败！", Toast.LENGTH_SHORT).show();
}
if (view != null) {
view.setClickable(true);
}
ActiveFileInfo activeFileInfo = new ActiveFileInfo();
}
@Override
public void onError(Throwable e) {
Toast.makeText(MainActivity.this, e.getMessage(), Toast.LENGTH_SHORT).show();
if (view != null) {
view.setClickable(true);
}
}
@Override
public void onComplete() {
}
});
}
12、人脸识别界面是最复杂的。其中不仅有人脸识别的功能，还有注册人脸和活体检测的功能。
通过手机自带的摄像头来实现人脸识别和活体检测的逻辑：
private void initCamera() {
DisplayMetrics metrics = new DisplayMetrics();
getWindowManager().getDefaultDisplay().getMetrics(metrics);
final FaceListener faceListener = new FaceListener() {
@Override
public void onFail(Exception e) {
Log.e(TAG, "onFail: " + e.getMessage());
}
//请求FR的回调
@Override
public void onFaceFeatureInfoGet(@Nullable final FaceFeature faceFeature, final Integer requestId, final Integer errorCode) {
//FR成功
if (faceFeature != null) {
// Log.i(TAG, "onPreview: fr end = " + System.currentTimeMillis() + " trackId = " + requestId);
Integer liveness = livenessMap.get(requestId);
//不做活体检测的情况，直接搜索
if (!livenessDetect) {
searchFace(faceFeature, requestId);
}
//活体检测通过，搜索特征
else if (liveness != null && liveness == LivenessInfo.ALIVE) {
searchFace(faceFeature, requestId);
}
//活体检测未出结果，或者非活体，延迟执行该函数
else {
if (requestFeatureStatusMap.containsKey(requestId)) {
Observable.timer(WAIT_LIVENESS_INTERVAL, TimeUnit.MILLISECONDS)
.subscribe(new Observer<Long>() {
Disposable disposable;
@Override
public void onSubscribe(Disposable d) {
disposable = d;
getFeatureDelayedDisposables.add(disposable);
}
@Override
public void onNext(Long aLong) {
onFaceFeatureInfoGet(faceFeature, requestId, errorCode);
}
@Override
public void onError(Throwable e) {
}
@Override
public void onComplete() {
getFeatureDelayedDisposables.remove(disposable);
}
});
}
}
}
//特征提取失败
else {
if (increaseAndGetValue(extractErrorRetryMap, requestId) > MAX_RETRY_TIME) {
extractErrorRetryMap.put(requestId, 0);
String msg;
// 传入的FaceInfo在指定的图像上无法解析人脸，此处使用的是RGB人脸数据，一般是人脸模糊
if (errorCode != null && errorCode == ErrorInfo.MERR_FSDK_FACEFEATURE_LOW_CONFIDENCE_LEVEL) {
msg = "人脸置信度低！";
} else {
msg = "ExtractCode:" + errorCode;
}
faceHelper.setName(requestId, "未通过！");
// 在尝试最大次数后，特征提取仍然失败，则认为识别未通过
requestFeatureStatusMap.put(requestId, RequestFeatureStatus.FAILED);
retryRecognizeDelayed(requestId);
} else {
requestFeatureStatusMap.put(requestId, RequestFeatureStatus.TO_RETRY);
}
}
}
@Override
public void onFaceLivenessInfoGet(@Nullable LivenessInfo livenessInfo, final Integer requestId, Integer errorCode) {
if (livenessInfo != null) {
int liveness = livenessInfo.getLiveness();
livenessMap.put(requestId, liveness);
// 非活体，重试
if (liveness == LivenessInfo.NOT_ALIVE) {
faceHelper.setName(requestId, "未通过！非活体！");
// 延迟 FAIL_RETRY_INTERVAL 后，将该人脸状态置为UNKNOWN，帧回调处理时会重新进行活体检测
retryLivenessDetectDelayed(requestId);
}
} else {
if (increaseAndGetValue(livenessErrorRetryMap, requestId) > MAX_RETRY_TIME) {
livenessErrorRetryMap.put(requestId, 0);
String msg;
// 传入的FaceInfo在指定的图像上无法解析人脸，此处使用的是RGB人脸数据，一般是人脸模糊
if (errorCode != null && errorCode == ErrorInfo.MERR_FSDK_FACEFEATURE_LOW_CONFIDENCE_LEVEL) {
msg = "人脸置信度低！";
} else {
msg = "ProcessCode:" + errorCode;
}
faceHelper.setName(requestId, "未通过！");
retryLivenessDetectDelayed(requestId);
} else {
livenessMap.put(requestId, LivenessInfo.UNKNOWN);
}
}
}
};
CameraListener cameraListener = new CameraListener() {
@Override
public void onCameraOpened(Camera camera, int cameraId, int displayOrientation, boolean isMirror) {
Camera.Size lastPreviewSize = previewSize;
previewSize = camera.getParameters().getPreviewSize();
drawHelper = new DrawHelper(previewSize.width, previewSize.height, previewView.getWidth(), previewView.getHeight(), displayOrientation
, cameraId, isMirror, false, false);
Log.i(TAG, "onCameraOpened: " + drawHelper.toString());
// 切换相机的时候可能会导致预览尺寸发生变化
if (faceHelper == null ||
lastPreviewSize == null ||
lastPreviewSize.width != previewSize.width || lastPreviewSize.height != previewSize.height) {
Integer trackedFaceCount = null;
// 记录切换时的人脸序号
if (faceHelper != null) {
trackedFaceCount = faceHelper.getTrackedFaceCount();
faceHelper.release();
}
faceHelper = new FaceHelper.Builder()
.ftEngine(ftEngine)
.frEngine(frEngine)
.flEngine(flEngine)
.frQueueSize(MAX_DETECT_NUM)
.flQueueSize(MAX_DETECT_NUM)
.previewSize(previewSize)
.faceListener(faceListener)
.trackedFaceCount(trackedFaceCount == null ? ConfigUtil.getTrackedFaceCount(FaceRegisterAndRecognise.this.getApplicationContext()) : trackedFaceCount)
.build();
}
}
@Override
public void onPreview(final byte[] nv21, Camera camera) {
if (faceRectView != null) {
faceRectView.clearFaceInfo();
}
List<FacePreviewInfo> facePreviewInfoList = faceHelper.onPreviewFrame(nv21);
if (facePreviewInfoList != null && faceRectView != null && drawHelper != null) {
drawPreviewInfo(facePreviewInfoList);
}
registerFace(nv21, facePreviewInfoList);
clearLeftFace(facePreviewInfoList);
if (facePreviewInfoList != null && facePreviewInfoList.size() > 0 && previewSize != null) {
for (int i = 0; i < facePreviewInfoList.size(); i++) {
Integer status = requestFeatureStatusMap.get(facePreviewInfoList.get(i).getTrackId());
/**
* 在活体检测开启，在人脸识别状态不为成功或人脸活体状态不为处理中（ANALYZING）且不为处理完成（ALIVE、NOT_ALIVE）时重新进行活体检测
*/
if (livenessDetect && (status == null || status != RequestFeatureStatus.SUCCEED)) {
Integer liveness = livenessMap.get(facePreviewInfoList.get(i).getTrackId());
if (liveness == null
|| (liveness != LivenessInfo.ALIVE && liveness != LivenessInfo.NOT_ALIVE && liveness != RequestLivenessStatus.ANALYZING)) {
livenessMap.put(facePreviewInfoList.get(i).getTrackId(), RequestLivenessStatus.ANALYZING);
faceHelper.requestFaceLiveness(nv21, facePreviewInfoList.get(i).getFaceInfo(), previewSize.width, previewSize.height, FaceEngine.CP_PAF_NV21, facePreviewInfoList.get(i).getTrackId(), LivenessType.RGB);
}
}
/**
* 对于每个人脸，若状态为空或者为失败，则请求特征提取（可根据需要添加其他判断以限制特征提取次数），
* 特征提取回传的人脸特征结果在{@link FaceListener#onFaceFeatureInfoGet(FaceFeature, Integer, Integer)}中回传
*/
if (status == null
|| status == RequestFeatureStatus.TO_RETRY) {
requestFeatureStatusMap.put(facePreviewInfoList.get(i).getTrackId(), RequestFeatureStatus.SEARCHING);
faceHelper.requestFaceFeature(nv21, facePreviewInfoList.get(i).getFaceInfo(), previewSize.width, previewSize.height, FaceEngine.CP_PAF_NV21, facePreviewInfoList.get(i).getTrackId());
// Log.i(TAG, "onPreview: fr start = " + System.currentTimeMillis() + " trackId = " + facePreviewInfoList.get(i).getTrackedFaceCount());
}
}
}
}
@Override
public void onCameraClosed() {
Log.i(TAG, "onCameraClosed: ");
}
@Override
public void onCameraError(Exception e) {
Log.i(TAG, "onCameraError: " + e.getMessage());
}
@Override
public void onCameraConfigurationChanged(int cameraID, int displayOrientation) {
if (drawHelper != null) {
drawHelper.setCameraDisplayOrientation(displayOrientation);
}
Log.i(TAG, "onCameraConfigurationChanged: " + cameraID + " " + displayOrientation);
}
};
cameraHelper = new CameraHelper.Builder()
.previewViewSize(new Point(previewView.getMeasuredWidth(), previewView.getMeasuredHeight()))
.rotation(getWindowManager().getDefaultDisplay().getRotation())
.specificCameraId(rgbCameraID != null ? rgbCameraID : Camera.CameraInfo.CAMERA_FACING_FRONT)
.isMirror(false)
.previewOn(previewView)
.cameraListener(cameraListener)
.build();
cameraHelper.init();
cameraHelper.start();
}
注册人脸的逻辑：
private void registerFace(final byte[] nv21, final List<FacePreviewInfo> facePreviewInfoList) {
if (registerStatus == REGISTER_STATUS_READY && facePreviewInfoList != null && facePreviewInfoList.size() > 0) {
registerStatus = REGISTER_STATUS_PROCESSING;
Observable.create(new ObservableOnSubscribe<Boolean>() {
@Override
public void subscribe(ObservableEmitter<Boolean> emitter) {
boolean success = FaceServer.getInstance().registerNv21(FaceRegisterAndRecognise.this, nv21.clone(), previewSize.width, previewSize.height,
facePreviewInfoList.get(0).getFaceInfo(), "registered " + faceHelper.getTrackedFaceCount());
emitter.onNext(success);
}
})
.subscribeOn(Schedulers.computation())
.observeOn(AndroidSchedulers.mainThread())
.subscribe(new Observer<Boolean>() {
@Override
public void onSubscribe(Disposable d) {
}
@Override
public void onNext(Boolean success) {
String result = success ? "register success!" : "register failed!";
showToast(result);
registerStatus = REGISTER_STATUS_DONE;
}
@Override
public void onError(Throwable e) {
e.printStackTrace();
showToast("register failed!");
registerStatus = REGISTER_STATUS_DONE;
}
@Override
public void onComplete() {
}
});
}
}
13、人脸库的管理界面。
public class FaceLibs extends BaseActivity {
private ExecutorService executorService;
private TextView textView;
private TextView tvNotificationRegisterResult;
ProgressDialog progressDialog = null;
private static final int ACTION_REQUEST_PERMISSIONS = 0x001;
private static String[] NEEDED_PERMISSIONS = new String[]{
Manifest.permission.READ_EXTERNAL_STORAGE,
Manifest.permission.WRITE_EXTERNAL_STORAGE
};
@Override
protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_face_libs);
getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);
executorService = Executors.newSingleThreadExecutor();
tvNotificationRegisterResult = findViewById(R.id.notification_register_result);
progressDialog = new ProgressDialog(this);
int faceLibNum = FaceServer.getInstance().getFaceNumber(this);
textView = findViewById(R.id.number);
textView.setText(faceLibNum + "");
FaceServer.getInstance().init(this);
}
@Override
protected void onDestroy() {
if (executorService != null && !executorService.isShutdown()) {
executorService.shutdownNow();
}
if (progressDialog != null && progressDialog.isShowing()) {
progressDialog.dismiss();
}
FaceServer.getInstance().unInit();
super.onDestroy();
}
@Override
void afterRequestPermission(int requestCode, boolean isAllGranted) {
}
public void clearFaces(View view) {
int faceNum = FaceServer.getInstance().getFaceNumber(this);
if (faceNum == 0) {
showToast("人脸库已空！");
} else {
AlertDialog dialog = new AlertDialog.Builder(this)
.setTitle("通知")
.setMessage("确定要删除" + faceNum + "个人脸吗？")
.setPositiveButton("确定", new DialogInterface.OnClickListener() {
@Override
public void onClick(DialogInterface dialog, int which) {
int deleteCount = FaceServer.getInstance().clearAllFaces(FaceLibs.this);
showToast(deleteCount + "个人脸已删除！");
textView.setText("0");
}
})
.setNegativeButton("取消", null)
.create();
dialog.show();
}
}
}
14、以上就是大体的介绍，还有一些小的细枝末节需要同志们动手实操一下。下面就来看看实现的效果。
主界面：
注册成功并通过识别：
通过手机照片识别出不是活体：
清理人脸库：
以上就是Android基于虹软(ArcSoft)实现人脸识别的详细内容，更多关于Android人脸识别的资料请关注其它相关文章！