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人臉框繪制並回調數據:
@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; }
由於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,對於每一個人臉框 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。