using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;

using OpenCvSharp;
using OpenCvSharp.Extensions;
using System.IO;

namespace Face
{
    public partial class Form1 : Form
    {
        private Mat _flame;
        public Form1()
        {
            InitializeComponent();
        }

        private void Form1_Load(object sender, EventArgs e)
        {
            //PictureBoxのサイズに合わせて表示
            pictureBox1.SizeMode = PictureBoxSizeMode.StretchImage;
            pictureBox2.SizeMode = PictureBoxSizeMode.StretchImage;
        }

        private void button1_Click(object sender, EventArgs e)
        {
            //VideoCapture作成
            using (var capture = new VideoCapture())
            {
                //カメラの起動　
                capture.Open(0);

                if (!capture.IsOpened())
                {
                    throw new Exception("capture initialization failed");
                }

                //画像取得用のMatを作成
                _flame = new Mat();

                while (true)
                {
                    try
                    {
                        capture.Read(_flame);
                        if (_flame.Empty())
                        {
                            break;
                        }

                        if (_flame.Size().Width > 0)
                        {
                            //PictureBoxに表示　MatをBitMapに変換
                            pictureBox1.Image = BitmapConverter.ToBitmap(_flame);
                        }

                        int key = Cv2.WaitKey();

                        if (this.IsDisposed)
                        {
                            break;
                        }
                    }

                    catch (Exception)
                    {
                        break;
                    }
                }
            }
        }

        private void button2_Click(object sender, EventArgs e)
        {
            var capture = _flame;

            if (capture == null)
            {
                return;
            }

            pictureBox2.Image = BitmapConverter.ToBitmap(capture);

            //タイマーをONにする
            timer1.Enabled = true;
        }

        private void button3_Click(object sender, EventArgs e)
        {
            //タイマーをOFFにする
            timer1.Enabled = false;
        }

        private void timer1_Tick(object sender, EventArgs e)
        {
            string inputImagePath = null;

            inputImagePath = _flame;
            Bitmap retBitmap = GetResultBitmap(inputImagePath);
            pictureBox2.SizeMode = PictureBoxSizeMode.Zoom;
            pictureBox2.Image = retBitmap;
        }

        Bitmap GetResultBitmap(string inputImagePath)
        {
            // 結果画像
            Mat matRetImage = null;

            // 顔認識用カスケードファイルパス
            string classifierFilePath = Application.StartupPath + "\\haarcascade_frontalface_alt2.xml";
            string classifierFilePath2 = Application.StartupPath + "\\haarcascade_frontalface_default.xml";
            if (!File.Exists(classifierFilePath))
            {
                MessageBox.Show("顔認識用カスケードファイルがみつかりません");
            }
            if (!File.Exists(classifierFilePath2))
            {
                MessageBox.Show("顔認識用カスケードファイルがみつかりません");
            }

            // 顔認識用カスケード分類器を作成
            using (var haarCascade = new CascadeClassifier(classifierFilePath))
            using (var haarCascade2 = new CascadeClassifier(classifierFilePath2))

            // 判定画像ファイルをロード
            using (var matSrcImage = new Mat(inputImagePath, ImreadModes.Color))
            using (var matGrayscaleImage = new Mat())
            {
                matRetImage = matSrcImage.Clone();

                // 入力画像をグレースケール化
                Cv2.CvtColor(
                    src: matSrcImage,
                    dst: matGrayscaleImage,
                    code: ColorConversionCodes.BGR2GRAY);

                // 顔認識を実行
                var faces = haarCascade.DetectMultiScale(
                    image: matGrayscaleImage,
                    scaleFactor: 1.1,
                    minNeighbors: 4,
                    minSize: new OpenCvSharp.Size(100, 100));

                var faces2 = haarCascade2.DetectMultiScale(
                    image: matGrayscaleImage,
                    scaleFactor: 1.1,
                    minNeighbors: 4,
                    minSize: new OpenCvSharp.Size(100, 100));

                // 認識した顔の周りを枠線で囲む
                foreach (var face in faces)
                {
                    Cv2.Rectangle(
                        img: matRetImage,
                        rect: new Rect(face.X, face.Y, face.Width, face.Height),
                        //color: new Scalar(0, 255, 255),
                        color: new Scalar(0, 0, 255),
                        thickness: 2);
                }
                foreach (var face in faces2)
                {
                    Cv2.Rectangle(
                        img: matRetImage,
                        rect: new Rect(face.X, face.Y, face.Width, face.Height),
                        //color: new Scalar(0, 255, 255),
                        color: new Scalar(0, 0, 255),
                        thickness: 2);
                }
            }

            // 結果画像を表示
            Bitmap retBitmap = BitmapConverter.ToBitmap(matRetImage);


            matRetImage.Dispose();
            return retBitmap;
        }
    }
}