using Rect = OpenCVCompact.Rect;
using OpenCVCompact;
using System;
using UnityEngine;
using System.Collections.Generic;
using OpenCVForUnity.UnityUtils.Helper;
using dnn;

public abstract class FaceDetectManagerBase : MonoBehaviour
{
    //Related To DNN Model
    protected dnn.DNNUtils dnnUtils;

    protected Texture2D _videoTexture;
    protected double _lndmrkEstScore;
    protected Mat mat4Process;
    protected Mat grayMat4Process;
    protected Mat mat4Display;
    protected Mat mat4DisplayTexture;
    protected Mat lndmrk;
    protected MatOfRect detectionResult;
    protected Rect detectRect;
    protected int[] faceRect = new int[4];

    //int webCamOrVideoOrImage = 0; //0 : webcam, 1 : video, 2 : image
    int lndmrkMode = 1; //0: 51, 1: 84
    int lndmrkLevel = 3;
    bool kalmanOrNot = true;

    float lndmrkEstScore;

    protected FaceDetectUI panel;
    protected Texture2D _cutTexture;

    // Start is called before the first frame update
    void Awake()
    {
        UIManager.Instance.LoadReset();
        panel = UIManager.Instance.ShowPanel<FaceDetectUI>();

        InitModel();
        InitVariable();
        InitMatHelper();
    }

    private void OnDestroy()
    {
        if (mat4Process != null)
            mat4Process.Dispose();

        if (grayMat4Process != null)
            grayMat4Process.Dispose();

        //if (img4Thread != null)
        //    img4Thread.Dispose();

        if (lndmrk != null)
            lndmrk.Dispose();

        //if (lndmrk4Thread != null)
        //    lndmrk4Thread.Dispose();

        if (mat4Display != null)
            mat4Display.Dispose();

        if (mat4DisplayTexture != null)
            mat4DisplayTexture.Dispose();

        //if (probExp != null)
        //    probExp.Dispose();

        Dispose();
    }
    protected abstract void InitMatHelper();

    protected abstract void Dispose();

    private void InitVariable()
    {
        mat4Process = new Mat();
        grayMat4Process = new Mat();
        detectionResult = new MatOfRect();
        detectRect = new Rect();
        lndmrk = new Mat(2, 84, CvType.CV_32FC1, 0.0f);

        InvokeRepeating("AnalyzingFace", 0f, 1f);
    }

    private bool InitModel()
    {
        dnnUtils = new dnn.DNNUtils();
        string dnnLndmrkDetectModelFilePath;
        string dnnFaceAttr7ModelFilePath;
        string dnnFaceExpModelFilePath;
        string multiTinyFaceDetectModelFilePath;
        string YOLOV3DetectModelFilePath;
        string YOLOV3DetectParamFilePath;
        string YOLOV3DetectOpenCVModelFilePath;
        string YOLOV3DetectOpenCVParamFilePath;

        //Init Model File Path
#if (UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR
            dnnLndmrkDetectModelFilePath = Utils.getFilePath("FaceAnalyzer/face_lndmrk_detect_mobile.bin");
#else
        dnnLndmrkDetectModelFilePath = Utils.getFilePath("FaceAnalyzer/face_lndmrk_detect.bin");
#endif

#if (UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR
            dnnFaceAttr7ModelFilePath = Utils.getFilePath("FaceAnalyzer/att_7_mobile.bin");
#else
        dnnFaceAttr7ModelFilePath = Utils.getFilePath("FaceAnalyzer/att_7.bin");
#endif

#if (UNITY_ANDROID || UNITY_IOS) && !UNITY_EDITOR
            dnnFaceExpModelFilePath = Utils.getFilePath("FaceAnalyzer/face_exp_mobile.bin");
#else
        dnnFaceExpModelFilePath = Utils.getFilePath("FaceAnalyzer/face_exp.bin");
#endif
        multiTinyFaceDetectModelFilePath = Utils.getFilePath("FaceAnalyzer/multi_tiny_face_detect_mobile.bin");
        YOLOV3DetectModelFilePath = Utils.getFilePath("FaceAnalyzer/yolov3.bin");
        YOLOV3DetectParamFilePath = Utils.getFilePath("FaceAnalyzer/yolov3.param");

        YOLOV3DetectOpenCVModelFilePath = Utils.getFilePath("FaceAnalyzer/yolov3-tiny.weights");
        YOLOV3DetectOpenCVParamFilePath = Utils.getFilePath("FaceAnalyzer/yolov3-tiny.cfg");

        bool initFaceLndmrkRes;

        initFaceLndmrkRes = dnnUtils.InitFaceLandmarkDetect(dnnLndmrkDetectModelFilePath);
        if (initFaceLndmrkRes == false)
        {
            LogPrint.Error(dnnLndmrkDetectModelFilePath + " file is not loaded.");
            LogPrint.Error(dnnLndmrkDetectModelFilePath + " file is not existed on StreamingAssets Folder. Please copy from “Assets/FaceAnalyzer/StreamingAssets/” to “Assets/StreamingAssets/” folder.");
        }

        dnnUtils.InitHeadPoseEstimation();

        int initFaceAttrRes = dnnUtils.InitFaceAttribNet_7(dnnFaceAttr7ModelFilePath);
        if (initFaceAttrRes <= 0)
        {
            LogPrint.Error(dnnFaceAttr7ModelFilePath + " file is not loaded.");
            LogPrint.Error(dnnFaceAttr7ModelFilePath + " file is not existed on StreamingAssets Folder. Please copy from “Assets/FaceAnalyzer/StreamingAssets/” to “Assets/StreamingAssets/” folder.");
        }

        int initFaceExpRes = dnnUtils.InitFaceExpressionNet_7(dnnFaceExpModelFilePath);
        if (initFaceExpRes <= 0)
        {
            LogPrint.Error(dnnFaceExpModelFilePath + " file is not loaded.");
            LogPrint.Error(dnnFaceExpModelFilePath + " file is not existed on StreamingAssets Folder. Please copy from “Assets/FaceAnalyzer/StreamingAssets/” to “Assets/StreamingAssets/” folder.");
        }

        int initMultiTinyFaceDetectRes = dnnUtils.InitMultiTinyFaceDetector(multiTinyFaceDetectModelFilePath);
        if (initMultiTinyFaceDetectRes <= 0)
        {
            LogPrint.Error(multiTinyFaceDetectModelFilePath + " file is not loaded.");
            LogPrint.Error(multiTinyFaceDetectModelFilePath + " file is not existed on StreamingAssets Folder. Please copy from “Assets/FaceAnalyzer/StreamingAssets/” to “Assets/StreamingAssets/” folder.");
        }

        int initYOLOV3DetectRes = dnnUtils.InitYOLOV3Detector(YOLOV3DetectModelFilePath, YOLOV3DetectParamFilePath);
        if (initYOLOV3DetectRes == -1)
        {
            LogPrint.Error(YOLOV3DetectModelFilePath + " file is not loaded.");
            LogPrint.Error(YOLOV3DetectModelFilePath + " file is not existed on StreamingAssets Folder. Please copy from “Assets/FaceAnalyzer/StreamingAssets/” to “Assets/StreamingAssets/” folder.");
        }
        else if (initYOLOV3DetectRes == -2)
        {
            LogPrint.Error(YOLOV3DetectParamFilePath + " file is not loaded.");
            LogPrint.Error(YOLOV3DetectParamFilePath + " file is not existed on StreamingAssets Folder. Please copy from “Assets/FaceAnalyzer/StreamingAssets/” to “Assets/StreamingAssets/” folder.");
        }

        dnnUtils.InitLabels_7();
        dnnUtils.InitExpLabels_7();
        dnnUtils.InitObjectLabels_21();
        dnnUtils.InitKalmanFilter(10f);

        return true;
    }

    protected abstract Mat GetMat();

    //update
    protected virtual void AnalyzingFace()
    {
        mat4Display = GetMat();
        if (mat4Display == null)
            return;
        //mat4Display.copyTo(mat4Process);


        mat4Process = PictureUtility.GetROIRect(mat4Display.clone(), out var roiRegion);

        //Face Detect
        panel.RefreshData(LandmarkDetect());

        var point1 = new Point(roiRegion[0], roiRegion[1]);
        var point2 = new Point(roiRegion[0] + roiRegion[2], roiRegion[0] + roiRegion[3]);
        Imgproc.rectangle(mat4Display, point1, point2, new Scalar(255, 0, 0), 2);
        DebugPint();
    }

    protected abstract void DebugPint();

    protected Dictionary<string, string> LandmarkDetect()
    {
        if (dnnUtils.GetEstimateLandmarkSuccessOrNot() == false || lndmrkEstScore < 0.25) //If It Failed To Track Facial Landmark in Previous Frame
        {
            //Face Detect!!!
            Imgproc.cvtColor(mat4Process, grayMat4Process, OpenCVCompact.Imgproc.COLOR_RGBA2GRAY); //Face Detection Should Use Gray Image

            if (dnnUtils.DetectFace(grayMat4Process, detectionResult, 32, 1024, true)) //Detect Face
            {
                detectRect = detectionResult.toArray()[0];
                faceRect[0] = detectRect.x; faceRect[1] = detectRect.y; faceRect[2] = detectRect.width; faceRect[3] = detectRect.height;

                lndmrkEstScore = dnnUtils.EstimateFacialLandmark(mat4Process.nativeObj, ref faceRect[0], lndmrk.nativeObj, lndmrkMode, kalmanOrNot, lndmrkLevel);
            }
        }
        else
        {
            //Track Facial Landmark If It Succeeded In Previous Frame
            faceRect = dnnUtils.SquareFromInnerLandmark(lndmrk.nativeObj);
            lndmrkEstScore = dnnUtils.EstimateFacialLandmark(mat4Process.nativeObj, ref faceRect[0], lndmrk.nativeObj, lndmrkMode, kalmanOrNot, lndmrkLevel);
        }

        Mat prob = new Mat();
        Dictionary<string, string> retVal = null;

        if (dnnUtils.EstFaceAttribNet_7(mat4Process.nativeObj, lndmrk.nativeObj, CvType.COLOR_RGBA, prob.nativeObj) == true)
        {
            dnnUtils.ParseEstFaceAttrib_7(prob);

            string text = string.Empty;
            retVal = new Dictionary<string, string>(dnnUtils.dnnFaceAttribRes_7);
            int idx = 0;
            foreach (var pair in dnnUtils.dnnFaceAttribRes_7)
            {
                string tmp;
                if (idx % 2 == 0)
                    tmp = string.Format("[{0}] : {1}\n", pair.Key, pair.Value);
                else
                    tmp = string.Format("[{0}] : {1}\t\t", pair.Key, pair.Value);

                text = string.Concat(text, tmp);

                idx = idx + 1;
            }
        }
        prob.Dispose();

        return retVal;
    }
}