Android打开相机进行人脸识别,使用虹软人脸识别引擎
上一張效果圖,渣畫質,能看就好
功能說明:
人臉識別使用的是虹軟的FreeSDK,包含人臉追蹤,人臉檢測,人臉識別,年齡、性別檢測功能,其中本demo只使用了FT和FR(人臉追蹤和人臉識別),封裝了開啟相機和人臉追蹤、識別功能在FaceCameraHelper中。
實現邏輯:
打開相機,監聽預覽數據回調進行人臉追蹤,且為每個檢測到的人臉都分配一個trackID(上下幀位置變化不大的人臉框可認為是同一個人臉,具體實現的邏輯可見代碼),同時,為了人臉搜索,為每個trackID都分配一個狀態(識別中,識別失敗,識別通過)、姓名,識別通過則在人臉框上顯示姓名,否則只顯示trackID(本demo沒配服務端,只做了模擬操作)。流程說明見下圖。
FaceCameraHelper包含的接口:
public interface FaceTrackListener {
/**
* 回傳相機預覽數據和人臉框位置
*
* @param nv21 相機預覽數據
* @param ftFaceList 待處理的人臉列表
* @param trackIdList 人臉追蹤ID列表
*/
void onPreviewData(byte[] nv21, List<AFT_FSDKFace> ftFaceList, List<Integer> trackIdList);
/**
* 當出現異常時執行
*
* @param e 異常信息
*/
void onFail(Exception e);
/**
* 當相機打開時執行
*
* @param camera 相機實例
*/
void onCameraOpened(Camera camera);
/**
* 根據自己的需要可以刪除部分人臉,比如指定區域、留下最大人臉等
*
* @param ftFaceList 人臉列表
* @param trackIdList 人臉追蹤ID列表
*/
void adjustFaceRectList(List<AFT_FSDKFace> ftFaceList, List<Integer> trackIdList);
/**
* 請求人臉特征后的回調
*
* @param frFace 人臉特征數據
* @param requestId 請求碼
*/
void onFaceFeatureInfoGet(@Nullable AFR_FSDKFace frFace, Integer requestId);
}
```
FT人臉框繪制并回調數據:
@Override
public void onPreviewFrame(byte[] nv21, Camera camera) {
if (faceTrackListener != null) {
ftFaceList.clear();
int ftCode = ftEngine.AFT_FSDK_FaceFeatureDetect(nv21, previewSize.width, previewSize.height, AFT_FSDKEngine.CP_PAF_NV21, ftFaceList).getCode();
if (ftCode != 0) {
faceTrackListener.onFail(new Exception("ft failed,code is " + ftCode));
}
refreshTrackId(ftFaceList);
faceTrackListener.adjustFaceRectList(ftFaceList, currentTrackIdList);
if (surfaceViewRect != null) {
Canvas canvas = surfaceViewRect.getHolder().lockCanvas();
if (canvas == null) {
faceTrackListener.onFail(new Exception("can not get canvas of surfaceViewRect"));
return;
}
canvas.drawColor(0, PorterDuff.Mode.CLEAR);
if (ftFaceList.size() > 0) {
for (int i = 0; i < ftFaceList.size(); i++) {
Rect adjustedRect = TrackUtil.adjustRect(new Rect(ftFaceList.get(i).getRect()), previewSize.width, previewSize.height, surfaceWidth, surfaceHeight, cameraOrientation, mCameraId);
TrackUtil.drawFaceRect(canvas, adjustedRect, faceRectColor, faceRectThickness, currentTrackIdList.get(i), nameMap.get(currentTrackIdList.get(i)));
}
}
surfaceViewRect.getHolder().unlockCanvasAndPost(canvas);
}
faceTrackListener.onPreviewData(nv21, ftFaceList, currentTrackIdList);
}
}
大多數設備相機預覽數據圖像的朝向在橫屏時為0度。其他情況按逆時針依次增加90度,因此人臉框的繪制需要做同步轉化。CameraID為0時,也就是后置攝像頭情況,相機預覽數據的顯示為原畫面,而CameraID為1時,也就是前置攝像頭情況,相機的預覽畫面顯示為鏡像畫面,適配的代碼:
/**
* @param rect FT人臉框
* @param previewWidth 相機預覽的寬度
* @param previewHeight 相機預覽高度
* @param canvasWidth 畫布的寬度
* @param canvasHeight 畫布的高度
* @param cameraOri 相機預覽方向
* @param mCameraId 相機ID
* @return
*/
static Rect adjustRect(Rect rect, int previewWidth, int previewHeight, int canvasWidth, int canvasHeight, int cameraOri, int mCameraId) {
if (rect == null) {
return null;
}
if (canvasWidth < canvasHeight) {
int t = previewHeight;
previewHeight = previewWidth;
previewWidth = t;
}
float horizontalRatio;
float verticalRatio;
if (cameraOri == 0 || cameraOri == 180) {
horizontalRatio = (float) canvasWidth / (float) previewWidth;
verticalRatio = (float) canvasHeight / (float) previewHeight;
} else {
horizontalRatio = (float) canvasHeight / (float) previewHeight;
verticalRatio = (float) canvasWidth / (float) previewWidth;
}
rect.left *= horizontalRatio;
rect.right *= horizontalRatio;
rect.top *= verticalRatio;
rect.bottom *= verticalRatio;
Rect newRect = new Rect();
switch (cameraOri) {
case 0:
if (mCameraId == Camera.CameraInfo.CAMERA_FACING_FRONT) {
newRect.left = canvasWidth - rect.right;
newRect.right = canvasWidth - rect.left;
} else {
newRect.left = rect.left;
newRect.right = rect.right;
}
newRect.top = rect.top;
newRect.bottom = rect.bottom;
break;
case 90:
newRect.right = canvasWidth - rect.top;
newRect.left = canvasWidth - rect.bottom;
if (mCameraId == Camera.CameraInfo.CAMERA_FACING_FRONT) {
newRect.top = canvasHeight - rect.right;
newRect.bottom = canvasHeight - rect.left;
} else {
newRect.top = rect.left;
newRect.bottom = rect.right;
}
break;
case 180:
newRect.top = canvasHeight - rect.bottom;
newRect.bottom = canvasHeight - rect.top;
if (mCameraId == Camera.CameraInfo.CAMERA_FACING_FRONT) {
newRect.left = rect.left;
newRect.right = rect.right;
} else {
newRect.left = canvasWidth - rect.right;
newRect.right = canvasWidth - rect.left;
}
break;
case 270:
newRect.left = rect.top;
newRect.right = rect.bottom;
if (mCameraId == Camera.CameraInfo.CAMERA_FACING_FRONT) {
newRect.top = rect.left;
newRect.bottom = rect.right;
} else {
newRect.top = canvasHeight - rect.right;
newRect.bottom = canvasHeight - rect.left;
}
break;
default:
break;
}
return newRect;
}
由于FR引擎不支持多線程調用,因此只能串行執行,若需要更高效的實現,可創建多個FREngine實例進行任務分配。
FR線程隊列:
private LinkedBlockingQueue<FaceRecognizeRunnable> faceRecognizeRunnables = new LinkedBlockingQueue<FaceRecognizeRunnable>(MAX_FRTHREAD_COUNT);
FR線程:
public class FaceRecognizeRunnable implements Runnable {
private Rect faceRect;
private int width;
private int height;
private int format;
private int ori;
private Integer requestId;
private byte[]nv21Data;
public FaceRecognizeRunnable(byte[]nv21Data,Rect faceRect, int width, int height, int format, int ori, Integer requestId) {
if (nv21Data==null) {
return;
}
this.nv21Data = new byte[nv21Data.length];
System.arraycopy(nv21Data,0,this.nv21Data,0,nv21Data.length);
this.faceRect = new Rect(faceRect);
this.width = width;
this.height = height;
this.format = format;
this.ori = ori;
this.requestId = requestId;
}
@Override
public void run() {
if (faceTrackListener!=null && nv21Data!=null) {
if (frEngine != null) {
AFR_FSDKFace frFace = new AFR_FSDKFace();
int frCode = frEngine.AFR_FSDK_ExtractFRFeature(nv21Data, width, height, format, faceRect, ori, frFace).getCode();
if (frCode == 0) {
faceTrackListener.onFaceFeatureInfoGet(frFace, requestId);
} else {
faceTrackListener.onFaceFeatureInfoGet(null, requestId);
faceTrackListener.onFail(new Exception("fr failed errorCode is " + frCode));
}
nv21Data = null;
}else {
faceTrackListener.onFaceFeatureInfoGet(null, requestId);
faceTrackListener.onFail(new Exception("fr failed ,frEngine is null" ));
}
if (faceRecognizeRunnables.size()>0){
executor.execute(faceRecognizeRunnables.poll());
}
}
}
}
上下幀是否為相同人臉的判斷(trackID刷新):
/**
* 刷新trackId
*
* @param ftFaceList 傳入的人臉列表
*/
public void refreshTrackId(List<AFT_FSDKFace> ftFaceList) {
currentTrackIdList.clear();
//每項預先填充-1
for (int i = 0; i < ftFaceList.size(); i++) {
currentTrackIdList.add(-1);
}
//前一次無人臉現在有人臉,填充新增TrackId
if (formerTrackIdList.size() == 0) {
for (int i = 0; i < ftFaceList.size(); i++) {
currentTrackIdList.set(i, ++currentTrackId);
}
} else {
//前后都有人臉,對于每一個人臉框
for (int i = 0; i < ftFaceList.size(); i++) {
//遍歷上一次人臉框
for (int j = 0; j < formerFaceRectList.size(); j++) {
//若是同一張人臉
if (TrackUtil.isSameFace(SIMILARITY_RECT, formerFaceRectList.get(j), ftFaceList.get(i).getRect())) {
//記錄ID
currentTrackIdList.set(i, formerTrackIdList.get(j));
break;
}
}
}
}
//上一次人臉框不存在此人臉
for (int i = 0; i < currentTrackIdList.size(); i++) {
if (currentTrackIdList.get(i) == -1) {
currentTrackIdList.set(i, ++currentTrackId);
}
}
formerTrackIdList.clear();
formerFaceRectList.clear();
for (int i = 0; i < ftFaceList.size(); i++) {
formerFaceRectList.add(new Rect(ftFaceList.get(i).getRect()));
formerTrackIdList.add(currentTrackIdList.get(i));
}
}
項目地址:https://github.com/wangshengyang1996/FaceTrackDemo
若有不當的地方望指出。
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