252 lines
9.3 KiB
C#
252 lines
9.3 KiB
C#
using Rect = OpenCVCompact.Rect;
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using OpenCVCompact;
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using System;
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using UnityEngine;
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using System.Collections.Generic;
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using OpenCVForUnity.UnityUtils.Helper;
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using dnn;
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public abstract class FaceDetectManagerBase : MonoBehaviour
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{
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//Related To DNN Model
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protected dnn.DNNUtils dnnUtils;
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protected Texture2D _videoTexture;
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protected double _lndmrkEstScore;
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protected Mat mat4Process;
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protected Mat grayMat4Process;
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protected Mat mat4Display;
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protected Mat mat4DisplayTexture;
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protected Mat lndmrk;
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protected MatOfRect detectionResult;
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protected Rect detectRect;
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protected int[] faceRect = new int[4];
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//int webCamOrVideoOrImage = 0; //0 : webcam, 1 : video, 2 : image
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int lndmrkMode = 1; //0: 51, 1: 84
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int lndmrkLevel = 3;
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bool kalmanOrNot = true;
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float lndmrkEstScore;
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protected FaceDetectUI panel;
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protected Texture2D _cutTexture;
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// Start is called before the first frame update
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void Awake()
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{
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UIManager.Instance.LoadReset();
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panel = UIManager.Instance.ShowPanel<FaceDetectUI>();
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InitModel();
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InitVariable();
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InitMatHelper();
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}
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private void OnDestroy()
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{
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if (mat4Process != null)
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mat4Process.Dispose();
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if (grayMat4Process != null)
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grayMat4Process.Dispose();
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//if (img4Thread != null)
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// img4Thread.Dispose();
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if (lndmrk != null)
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lndmrk.Dispose();
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//if (lndmrk4Thread != null)
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// lndmrk4Thread.Dispose();
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if (mat4Display != null)
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mat4Display.Dispose();
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if (mat4DisplayTexture != null)
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mat4DisplayTexture.Dispose();
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//if (probExp != null)
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// probExp.Dispose();
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Dispose();
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}
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protected abstract void InitMatHelper();
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protected abstract void Dispose();
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private void InitVariable()
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{
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mat4Process = new Mat();
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grayMat4Process = new Mat();
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detectionResult = new MatOfRect();
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detectRect = new Rect();
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lndmrk = new Mat(2, 84, CvType.CV_32FC1, 0.0f);
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InvokeRepeating("AnalyzingFace", 0f, 1f);
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}
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private bool InitModel()
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{
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dnnUtils = new dnn.DNNUtils();
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string dnnLndmrkDetectModelFilePath;
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string dnnFaceAttr7ModelFilePath;
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string dnnFaceExpModelFilePath;
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string multiTinyFaceDetectModelFilePath;
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string YOLOV3DetectModelFilePath;
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string YOLOV3DetectParamFilePath;
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string YOLOV3DetectOpenCVModelFilePath;
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string YOLOV3DetectOpenCVParamFilePath;
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//Init Model File Path
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#if (UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR
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dnnLndmrkDetectModelFilePath = Utils.getFilePath("FaceAnalyzer/face_lndmrk_detect_mobile.bin");
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#else
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dnnLndmrkDetectModelFilePath = Utils.getFilePath("FaceAnalyzer/face_lndmrk_detect.bin");
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#endif
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#if (UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR
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dnnFaceAttr7ModelFilePath = Utils.getFilePath("FaceAnalyzer/att_7_mobile.bin");
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#else
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dnnFaceAttr7ModelFilePath = Utils.getFilePath("FaceAnalyzer/att_7.bin");
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#endif
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#if (UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR
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dnnFaceExpModelFilePath = Utils.getFilePath("FaceAnalyzer/face_exp_mobile.bin");
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#else
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dnnFaceExpModelFilePath = Utils.getFilePath("FaceAnalyzer/face_exp.bin");
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#endif
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multiTinyFaceDetectModelFilePath = Utils.getFilePath("FaceAnalyzer/multi_tiny_face_detect_mobile.bin");
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YOLOV3DetectModelFilePath = Utils.getFilePath("FaceAnalyzer/yolov3.bin");
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YOLOV3DetectParamFilePath = Utils.getFilePath("FaceAnalyzer/yolov3.param");
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YOLOV3DetectOpenCVModelFilePath = Utils.getFilePath("FaceAnalyzer/yolov3-tiny.weights");
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YOLOV3DetectOpenCVParamFilePath = Utils.getFilePath("FaceAnalyzer/yolov3-tiny.cfg");
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bool initFaceLndmrkRes;
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initFaceLndmrkRes = dnnUtils.InitFaceLandmarkDetect(dnnLndmrkDetectModelFilePath);
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if (initFaceLndmrkRes == false)
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{
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LogPrint.Error(dnnLndmrkDetectModelFilePath + " file is not loaded.");
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LogPrint.Error(dnnLndmrkDetectModelFilePath + " file is not existed on StreamingAssets Folder. Please copy from “Assets/FaceAnalyzer/StreamingAssets/” to “Assets/StreamingAssets/” folder.");
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}
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dnnUtils.InitHeadPoseEstimation();
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int initFaceAttrRes = dnnUtils.InitFaceAttribNet_7(dnnFaceAttr7ModelFilePath);
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if (initFaceAttrRes <= 0)
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{
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LogPrint.Error(dnnFaceAttr7ModelFilePath + " file is not loaded.");
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LogPrint.Error(dnnFaceAttr7ModelFilePath + " file is not existed on StreamingAssets Folder. Please copy from “Assets/FaceAnalyzer/StreamingAssets/” to “Assets/StreamingAssets/” folder.");
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}
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int initFaceExpRes = dnnUtils.InitFaceExpressionNet_7(dnnFaceExpModelFilePath);
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if (initFaceExpRes <= 0)
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{
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LogPrint.Error(dnnFaceExpModelFilePath + " file is not loaded.");
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LogPrint.Error(dnnFaceExpModelFilePath + " file is not existed on StreamingAssets Folder. Please copy from “Assets/FaceAnalyzer/StreamingAssets/” to “Assets/StreamingAssets/” folder.");
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}
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int initMultiTinyFaceDetectRes = dnnUtils.InitMultiTinyFaceDetector(multiTinyFaceDetectModelFilePath);
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if (initMultiTinyFaceDetectRes <= 0)
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{
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LogPrint.Error(multiTinyFaceDetectModelFilePath + " file is not loaded.");
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LogPrint.Error(multiTinyFaceDetectModelFilePath + " file is not existed on StreamingAssets Folder. Please copy from “Assets/FaceAnalyzer/StreamingAssets/” to “Assets/StreamingAssets/” folder.");
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}
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int initYOLOV3DetectRes = dnnUtils.InitYOLOV3Detector(YOLOV3DetectModelFilePath, YOLOV3DetectParamFilePath);
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if (initYOLOV3DetectRes == -1)
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{
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LogPrint.Error(YOLOV3DetectModelFilePath + " file is not loaded.");
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LogPrint.Error(YOLOV3DetectModelFilePath + " file is not existed on StreamingAssets Folder. Please copy from “Assets/FaceAnalyzer/StreamingAssets/” to “Assets/StreamingAssets/” folder.");
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}
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else if (initYOLOV3DetectRes == -2)
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{
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LogPrint.Error(YOLOV3DetectParamFilePath + " file is not loaded.");
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LogPrint.Error(YOLOV3DetectParamFilePath + " file is not existed on StreamingAssets Folder. Please copy from “Assets/FaceAnalyzer/StreamingAssets/” to “Assets/StreamingAssets/” folder.");
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}
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dnnUtils.InitLabels_7();
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dnnUtils.InitExpLabels_7();
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dnnUtils.InitObjectLabels_21();
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dnnUtils.InitKalmanFilter(10f);
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return true;
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}
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protected abstract Mat GetMat();
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//update
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protected virtual void AnalyzingFace()
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{
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mat4Display = GetMat();
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if (mat4Display == null)
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return;
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//mat4Display.copyTo(mat4Process);
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mat4Process = PictureUtility.GetROIRect(mat4Display.clone(), out var roiRegion);
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//Face Detect
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panel.RefreshData(LandmarkDetect());
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var point1 = new Point(roiRegion[0], roiRegion[1]);
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var point2 = new Point(roiRegion[0] + roiRegion[2], roiRegion[0] + roiRegion[3]);
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Imgproc.rectangle(mat4Display, point1, point2, new Scalar(255, 0, 0), 2);
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DebugPint();
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}
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protected abstract void DebugPint();
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protected Dictionary<string, string> LandmarkDetect()
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{
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if (dnnUtils.GetEstimateLandmarkSuccessOrNot() == false || lndmrkEstScore < 0.25) //If It Failed To Track Facial Landmark in Previous Frame
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{
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//Face Detect!!!
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Imgproc.cvtColor(mat4Process, grayMat4Process, OpenCVCompact.Imgproc.COLOR_RGBA2GRAY); //Face Detection Should Use Gray Image
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if (dnnUtils.DetectFace(grayMat4Process, detectionResult, 32, 1024, true)) //Detect Face
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{
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detectRect = detectionResult.toArray()[0];
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faceRect[0] = detectRect.x; faceRect[1] = detectRect.y; faceRect[2] = detectRect.width; faceRect[3] = detectRect.height;
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lndmrkEstScore = dnnUtils.EstimateFacialLandmark(mat4Process.nativeObj, ref faceRect[0], lndmrk.nativeObj, lndmrkMode, kalmanOrNot, lndmrkLevel);
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}
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}
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else
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{
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//Track Facial Landmark If It Succeeded In Previous Frame
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faceRect = dnnUtils.SquareFromInnerLandmark(lndmrk.nativeObj);
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lndmrkEstScore = dnnUtils.EstimateFacialLandmark(mat4Process.nativeObj, ref faceRect[0], lndmrk.nativeObj, lndmrkMode, kalmanOrNot, lndmrkLevel);
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}
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Mat prob = new Mat();
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Dictionary<string, string> retVal = null;
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if (dnnUtils.EstFaceAttribNet_7(mat4Process.nativeObj, lndmrk.nativeObj, CvType.COLOR_RGBA, prob.nativeObj) == true)
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{
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dnnUtils.ParseEstFaceAttrib_7(prob);
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string text = string.Empty;
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retVal = new Dictionary<string, string>(dnnUtils.dnnFaceAttribRes_7);
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int idx = 0;
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foreach (var pair in dnnUtils.dnnFaceAttribRes_7)
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{
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string tmp;
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if (idx % 2 == 0)
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tmp = string.Format("[{0}] : {1}\n", pair.Key, pair.Value);
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else
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tmp = string.Format("[{0}] : {1}\t\t", pair.Key, pair.Value);
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text = string.Concat(text, tmp);
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idx = idx + 1;
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}
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}
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prob.Dispose();
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return retVal;
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}
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}
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