C# 图片人脸识别

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;


namespace ArcsoftFace
{


public struct AFD_FSDK_FACERES
{
public int nFace; // number of faces detected


public IntPtr rcFace; // The bounding box of face


public IntPtr lfaceOrient; // the angle of each face
}


}


using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;


namespace ArcsoftFace
{
public struct AFR_FSDK_FACEINPUT
{
public MRECT rcFace;	// The bounding box of face


public int lfaceOrient; // The orientation of face
}
}


using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;


namespace ArcsoftFace
{
public struct AFR_FSDK_FACEMODEL
{
public IntPtr pbFeature;	// The extracted features


public int lFeatureSize;	// The size of pbFeature
}
}


using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;


namespace ArcsoftFace
{
public struct AFR_FSDK_Version
{
public int lCodebase;
public int lMajor;
public int lMinor;
public int lBuild;
public int lFeatureLevel;
public IntPtr Version;
public IntPtr BuildDate;
public IntPtr CopyRight;
}
}

 

 

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Runtime.InteropServices;


namespace ArcsoftFace
{


public class AmFaceVerify
{
/**
* 初始化人脸检测引擎
* @return 初始化人脸检测引擎
*/
[DllImport("libarcsoft_fsdk_face_detection.dll", CallingConvention = CallingConvention.Cdecl)]
public static extern int AFD_FSDK_InitialFaceEngine(string appId, string sdkKey, IntPtr pMem, int lMemSize, ref IntPtr pEngine, int iOrientPriority, int nScale, int nMaxFaceNum);


/**
* 获取人脸检测 SDK 版本信息
* @return 获取人脸检测SDK 版本信息
*/
[DllImport("libarcsoft_fsdk_face_detection.dll", CallingConvention = CallingConvention.Cdecl)]
public static extern IntPtr AFD_FSDK_GetVersion(IntPtr pEngine);


/**
* 根据输入的图像检测出人脸位置，一般用于静态图像检测
* @return 人脸位置
*/
[DllImport("libarcsoft_fsdk_face_detection.dll", CallingConvention = CallingConvention.Cdecl)]
public static extern int AFD_FSDK_StillImageFaceDetection(IntPtr pEngine, IntPtr offline, ref IntPtr faceRes);

 


/**
* 初始化人脸识别引擎
* @return 初始化人脸识别引擎
*/
[DllImport("libarcsoft_fsdk_face_recognition.dll", CallingConvention = CallingConvention.Cdecl)]
public static extern int AFR_FSDK_InitialEngine(string appId, string sdkKey, IntPtr pMem, int lMemSize, ref IntPtr pEngine);


/**
* 获取人脸识别SDK 版本信息
* @return 获取人脸识别SDK 版本信息
*/
[DllImport("libarcsoft_fsdk_face_recognition.dll", CallingConvention = CallingConvention.Cdecl)]
public static extern IntPtr AFR_FSDK_GetVersion(IntPtr pEngine);


/**
* 提取人脸特征
* @return 提取人脸特征
*/
[DllImport("libarcsoft_fsdk_face_recognition.dll", CallingConvention = CallingConvention.Cdecl)]
public static extern int AFR_FSDK_ExtractFRFeature(IntPtr pEngine, IntPtr offline, IntPtr faceResult, IntPtr localFaceModels);


/**
* 获取相似度
* @return 获取相似度
*/
[DllImport("libarcsoft_fsdk_face_recognition.dll", CallingConvention = CallingConvention.Cdecl)]
public static extern int AFR_FSDK_FacePairMatching(IntPtr pEngine, IntPtr faceModels1, IntPtr faceModels2, ref float fSimilScore);


#region delete
///**
// * 创建人脸检测引擎
// * @param [in] model_path 模型文件夹路径
// * @param [out] engine 创建的人脸检测引擎
// * @return =0 表示成功，<0 表示错误码。
// */
//[DllImport("AmFaceDet.dll", CallingConvention = CallingConvention.Cdecl)]
//public static extern int AmCreateFaceDetectEngine(string modelPath, ref IntPtr faceDetectEngine);


///**
// * 创建人脸识别引擎
// * @param [in] model_path 模型文件夹路径
// * @param [out] engine 创建的人脸识别引擎
// * @return =0 表示成功，<0 表示错误码。
// */
//[DllImport("AmFaceRec.dll", CallingConvention = CallingConvention.Cdecl)]
//public static extern int AmCreateFaceRecogniseEngine(string modelPath, ref IntPtr facRecogniseeEngine);


///**
// * 创建人脸比对别引擎
// * @param [in] model_path 模型文件夹路径
// * @param [out] engine 创建的人脸比对引擎
// * @return =0 表示成功，<0 表示错误码。
// */
//[DllImport("AmFaceCompare.dll", CallingConvention = CallingConvention.Cdecl)]
//public static extern int AmCreateFaceCompareEngine(ref IntPtr facCompareEngine);


///**
// * 设置人脸引擎参数
// * @param [in] engine 人脸引擎
// * @param [in] param 人脸参数
// */
//[DllImport("AmFaceDet.dll", CallingConvention = CallingConvention.Cdecl)]
//public static extern void AmSetParam(IntPtr faceDetectEngine, [MarshalAs(UnmanagedType.LPArray)] [In] TFaceParams[] setFaceParams);


///**
// * 人脸检测
// * @param [in] engine 人脸引擎
// * @param [in] bgr 图像数据，BGR格式
// * @param [in] width 图像宽度
// * @param [in] height 图像高度
// * @param [in] pitch 图像数据行字节数
// * @param [in,out] faces 人脸结构体数组，元素个数应等于期望检测人脸个数
// * @param [in] face_count 期望检测人脸个数
// * @return >=0 表示实际检测到的人脸数量，<0 表示错误码。
// */
//[DllImport("AmFaceDet.dll", CallingConvention = CallingConvention.Cdecl)]
//public static extern int AmDetectFaces(IntPtr faceDetectEngine, [MarshalAs(UnmanagedType.LPArray)] [In] byte[] image, int width, int height, int pitch, [MarshalAs(UnmanagedType.LPArray)] [In][Out] TAmFace[] faces, int face_count);


///**
// * 抽取人脸特征
// * @param [in] engine 人脸引擎
// * @param [in] bgr 图像数据，BGR格式
// * @param [in] width 图像宽度
// * @param [in] height 图像高度
// * @param [in] pitch 图像数据行字节数
// * @param [in] face 人脸结构体
// * @param [out] feature 人脸特征
// * @return =0 表示成功，<0 表示错误码。
// */
//[DllImport("AmFaceRec.dll", CallingConvention = CallingConvention.Cdecl)]
////public static extern int AmExtractFeature(IntPtr faceEngine, [MarshalAs(UnmanagedType.LPArray)] [In] byte[] image, int width, int height, int pitch, [MarshalAs(UnmanagedType.LPArray)] [In] TAmFace[] faces, ref byte[] feature);
//public static extern int AmExtractFeature(IntPtr facRecogniseeEngine, [MarshalAs(UnmanagedType.LPArray)] [In] byte[] image, int width, int height, int pitch, [MarshalAs(UnmanagedType.LPArray)] [In] TAmFace[] faces, [MarshalAs(UnmanagedType.LPArray)] [Out] byte[] feature);


///**
// * 比对两个人脸特征相似度
// * @param [in] engine 人脸引擎
// * @param [in] feature1 人脸特征1
// * @param [in] feature2 人脸特征2
// * @return 人脸相似度
// */
//[DllImport("AmFaceCompare.dll", CallingConvention = CallingConvention.Cdecl)]
//public static extern float AmCompare(IntPtr facCompareEngine, byte[] feature1, byte[] feature2);
#endregion
}
}

 

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Runtime.InteropServices;


namespace ArcsoftFace
{
public struct ASVLOFFSCREEN
{
public int u32PixelArrayFormat;


public int i32Width;


public int i32Height;


[MarshalAs(UnmanagedType.ByValArray, SizeConst = 4)]
public IntPtr[] ppu8Plane;


[MarshalAs(UnmanagedType.ByValArray, SizeConst = 4)]
public int[] pi32Pitch;
}
}


using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;


namespace ArcsoftFace
{
public struct MRECT
{
public int left;
public int top;
public int right;
public int bottom;
}
}

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Windows.Forms;
using System.Runtime.InteropServices;
using System.Drawing.Imaging;
using System.Diagnostics;
using System.Threading;
using ArcsoftFace;


namespace ArcsoftFace
{


public partial class Form1 : Form
{
byte[] firstFeature;


byte[] secondFeature;


//人脸检测引擎
IntPtr detectEngine = IntPtr.Zero;


//人脸识别引擎
IntPtr regcognizeEngine = IntPtr.Zero;


//拖拽线程
private Thread threadMultiExec;


//构造函数
public Form1()
{
InitializeComponent();
}


//把图片转成byte[]
private byte[] getBGR(Bitmap image, ref int width, ref int height, ref int pitch)
{
//Bitmap image = new Bitmap(imgPath);


const PixelFormat PixelFormat = PixelFormat.Format24bppRgb;


BitmapData data = image.LockBits(new Rectangle(0, 0, image.Width, image.Height), ImageLockMode.ReadOnly, PixelFormat);


IntPtr ptr = data.Scan0;


int ptr_len = data.Height * Math.Abs(data.Stride);


byte[] ptr_bgr = new byte[ptr_len];


Marshal.Copy(ptr, ptr_bgr, 0, ptr_len);


width = data.Width;


height = data.Height;


pitch = Math.Abs(data.Stride);


int line = width * 3;


int bgr_len = line * height;


byte[] bgr = new byte[bgr_len];


for (int i = 0; i < height; ++i)
{
Array.Copy(ptr_bgr, i * pitch, bgr, i * line, line);
}


pitch = line;


image.UnlockBits(data);


return bgr;
}


//选择第一张照片
private void button4_Click(object sender, EventArgs e)
{
OpenFileDialog openFile = new OpenFileDialog();


openFile.Filter = "图片文件|*.bmp;*.jpg;*.jpeg;*.png|所有文件|*.*;";


openFile.Multiselect = false;


openFile.FileName = "";


if (openFile.ShowDialog() == DialogResult.OK)
{
this.pictureBox1.Image = null;


Image image = Image.FromFile(openFile.FileName);


this.pictureBox1.Image = new Bitmap(image);


image.Dispose();


firstFeature = detectAndExtractFeature(this.pictureBox1.Image, 1);
}
}


//选择第二张照片
private void button2_Click(object sender, EventArgs e)
{
OpenFileDialog openFile = new OpenFileDialog();


openFile.Filter = "图片文件|*.bmp;*.jpg;*.jpeg;*.png|所有文件|*.*;";


openFile.Multiselect = false;


openFile.FileName = "";


if (openFile.ShowDialog() == DialogResult.OK)
{
this.pictureBox2.Image = null;


Image image = Image.FromFile(openFile.FileName);


this.pictureBox2.Image = new Bitmap(image);


image.Dispose();


secondFeature = detectAndExtractFeature(this.pictureBox2.Image, 2);
}


}


//提取识别出的人脸
public static Bitmap CutFace(Bitmap srcImage, int StartX, int StartY, int iWidth, int iHeight)
{
if (srcImage == null)
{
return null;
}


int w = srcImage.Width;


int h = srcImage.Height;


if (StartX >= w || StartY >= h)
{
return null;
}
if (StartX + iWidth > w)
{
iWidth = w - StartX;
}
if (StartY + iHeight > h)
{
iHeight = h - StartY;
}
try
{
Bitmap bmpOut = new Bitmap(iWidth, iHeight, PixelFormat.Format24bppRgb);


Graphics g = Graphics.FromImage(bmpOut);


g.DrawImage(srcImage, new Rectangle(0, 0, iWidth, iHeight), new Rectangle(StartX, StartY, iWidth, iHeight), GraphicsUnit.Pixel);


g.Dispose();


return bmpOut;
}
catch
{
return null;
}
}


//获取相似度
private void button3_Click(object sender, EventArgs e)
{
float similar = 0f;


AFR_FSDK_FACEMODEL localFaceModels = new AFR_FSDK_FACEMODEL();


IntPtr firstFeaturePtr = Marshal.AllocHGlobal(firstFeature.Length);


Marshal.Copy(firstFeature, 0, firstFeaturePtr, firstFeature.Length);


localFaceModels.lFeatureSize = firstFeature.Length;


localFaceModels.pbFeature = firstFeaturePtr;


IntPtr secondFeaturePtr = Marshal.AllocHGlobal(secondFeature.Length);


Marshal.Copy(secondFeature, 0, secondFeaturePtr, secondFeature.Length);


AFR_FSDK_FACEMODEL localFaceModels2 = new AFR_FSDK_FACEMODEL();


localFaceModels2.lFeatureSize = secondFeature.Length;


localFaceModels2.pbFeature = secondFeaturePtr;


IntPtr firstPtr = Marshal.AllocHGlobal(Marshal.SizeOf(localFaceModels));


Marshal.StructureToPtr(localFaceModels, firstPtr, false);


IntPtr secondPtr = Marshal.AllocHGlobal(Marshal.SizeOf(localFaceModels2));


Marshal.StructureToPtr(localFaceModels2, secondPtr, false);


Stopwatch stopwatch = new Stopwatch();


stopwatch.Start();


int result = AmFaceVerify.AFR_FSDK_FacePairMatching(regcognizeEngine, firstPtr, secondPtr, ref similar);


stopwatch.Stop();


setControlText(this.label1, "相似度:" + similar.ToString() + " 耗时:" + stopwatch.ElapsedMilliseconds.ToString() + "ms");


//this.label1.Text = "相似度:" + similar.ToString() + " 耗时:" + stopwatch.ElapsedMilliseconds.ToString() + "ms";


localFaceModels = new AFR_FSDK_FACEMODEL();


Marshal.FreeHGlobal(firstFeaturePtr);


Marshal.FreeHGlobal(secondFeaturePtr);


Marshal.FreeHGlobal(firstPtr);


Marshal.FreeHGlobal(secondPtr);


localFaceModels2 = new AFR_FSDK_FACEMODEL();
}


//检测人脸、提取特征
private byte[] detectAndExtractFeature(Image imageParam, int firstSecondFlg)
{
byte[] feature = null;


try
{
Console.WriteLine();


Console.WriteLine("############### Face Detect Start #########################");


int width = 0;


int height = 0;


int pitch = 0;


Bitmap bitmap = new Bitmap(imageParam);


byte[] imageData = getBGR(bitmap, ref width, ref height, ref pitch);


//GCHandle hObject = GCHandle.Alloc(imageData, GCHandleType.Pinned);


//IntPtr imageDataPtr = hObject.AddrOfPinnedObject();


IntPtr imageDataPtr = Marshal.AllocHGlobal(imageData.Length);


Marshal.Copy(imageData, 0, imageDataPtr, imageData.Length);


ASVLOFFSCREEN offInput = new ASVLOFFSCREEN();


offInput.u32PixelArrayFormat = 513;


offInput.ppu8Plane = new IntPtr[4];


offInput.ppu8Plane[0] = imageDataPtr;


offInput.i32Width = width;


offInput.i32Height = height;


offInput.pi32Pitch = new int[4];


offInput.pi32Pitch[0] = pitch;


AFD_FSDK_FACERES faceRes = new AFD_FSDK_FACERES();


IntPtr offInputPtr = Marshal.AllocHGlobal(Marshal.SizeOf(offInput));


Marshal.StructureToPtr(offInput, offInputPtr, false);


IntPtr faceResPtr = Marshal.AllocHGlobal(Marshal.SizeOf(faceRes));


//Marshal.StructureToPtr(faceRes, faceResPtr, false);


Console.WriteLine("StartTime:{0}", DateTime.Now.ToString("yyyy/MM/dd HH:mm:ss.ffff"));


Stopwatch watchTime = new Stopwatch();


watchTime.Start();
//人脸检测
int detectResult = AmFaceVerify.AFD_FSDK_StillImageFaceDetection(detectEngine, offInputPtr, ref faceResPtr);


watchTime.Stop();


if (firstSecondFlg == 1)
{
setControlText(this.label5, String.Format("检测耗时:{0}ms", watchTime.ElapsedMilliseconds));


//this.label5.Text = String.Format("检测耗时:{0}ms", watchTime.ElapsedMilliseconds);
}
else if (firstSecondFlg == 2)
{
setControlText(this.label2, String.Format("检测耗时:{0}ms", watchTime.ElapsedMilliseconds));


//this.label2.Text = String.Format("检测耗时:{0}ms", watchTime.ElapsedMilliseconds);
}


object obj = Marshal.PtrToStructure(faceResPtr, typeof(AFD_FSDK_FACERES));


faceRes = (AFD_FSDK_FACERES)obj;


Console.WriteLine(" Face Count:{0}", faceRes.nFace);


for (int i = 0; i < faceRes.nFace; i++)
{
MRECT rect = (MRECT)Marshal.PtrToStructure(faceRes.rcFace + Marshal.SizeOf(typeof(MRECT)) * i, typeof(MRECT));


int orient = (int)Marshal.PtrToStructure(faceRes.lfaceOrient + Marshal.SizeOf(typeof(int)) * i, typeof(int));


if (i == 0)
{
Image image = CutFace(bitmap, rect.left, rect.top, rect.right - rect.left, rect.bottom - rect.top);


if (firstSecondFlg == 1)
{
this.pictureBox3.Image = image;
}
else if (firstSecondFlg == 2)
{
this.pictureBox4.Image = image;
}
}


Console.WriteLine(" left:{0} top:{1} right:{2} bottom:{3} orient:{4}", rect.left, rect.top, rect.right, rect.bottom, orient);
}


Console.WriteLine(" EndTime:{0}", DateTime.Now.ToString("yyyy/MM/dd HH:mm:ss.ffff"));


Console.WriteLine("############### Face Detect End #########################");


if (faceRes.nFace > 0)
{
Console.WriteLine();


Console.WriteLine("############### Face Recognition Start #########################");


AFR_FSDK_FACEINPUT faceResult = new AFR_FSDK_FACEINPUT();


int orient = (int)Marshal.PtrToStructure(faceRes.lfaceOrient, typeof(int));


faceResult.lfaceOrient = orient;


faceResult.rcFace = new MRECT();


MRECT rect = (MRECT)Marshal.PtrToStructure(faceRes.rcFace, typeof(MRECT));


faceResult.rcFace = rect;


IntPtr faceResultPtr = Marshal.AllocHGlobal(Marshal.SizeOf(faceResult));


Marshal.StructureToPtr(faceResult, faceResultPtr, false);


AFR_FSDK_FACEMODEL localFaceModels = new AFR_FSDK_FACEMODEL();


IntPtr localFaceModelsPtr = Marshal.AllocHGlobal(Marshal.SizeOf(localFaceModels));


//Marshal.StructureToPtr(localFaceModels, localFaceModelsPtr, false);


watchTime.Start();


int extractResult = AmFaceVerify.AFR_FSDK_ExtractFRFeature(regcognizeEngine, offInputPtr, faceResultPtr, localFaceModelsPtr);


Marshal.FreeHGlobal(faceResultPtr);


Marshal.FreeHGlobal(offInputPtr);


watchTime.Stop();


if (firstSecondFlg == 1)
{
setControlText(this.label3, String.Format("抽取特征耗时:{0}ms", watchTime.ElapsedMilliseconds));


//this.label3.Text = String.Format("抽取特征耗时:{0}ms", watchTime.ElapsedMilliseconds);
}
else if (firstSecondFlg == 2)
{
setControlText(this.label4, String.Format("抽取特征耗时:{0}ms", watchTime.ElapsedMilliseconds));


//this.label4.Text = String.Format("抽取特征耗时:{0}ms", watchTime.ElapsedMilliseconds);
}


object objFeature = Marshal.PtrToStructure(localFaceModelsPtr, typeof(AFR_FSDK_FACEMODEL));


Marshal.FreeHGlobal(localFaceModelsPtr);


localFaceModels = (AFR_FSDK_FACEMODEL)objFeature;


feature = new byte[localFaceModels.lFeatureSize];


Marshal.Copy(localFaceModels.pbFeature, feature, 0, localFaceModels.lFeatureSize);


//localFaceModels = new AFR_FSDK_FACEMODEL();


Console.WriteLine("############### Face Recognition End #########################");


}


bitmap.Dispose();


imageData = null;


Marshal.FreeHGlobal(imageDataPtr);


offInput = new ASVLOFFSCREEN();


faceRes = new AFD_FSDK_FACERES();


//Marshal.FreeHGlobal(faceResPtr);
}
catch (Exception e)
{
LogHelper.WriteErrorLog("detect", e.Message + "\n" + e.StackTrace);
}
return feature;
}


//初始化
private void Form1_Load(object sender, EventArgs e)
{
#region 初始化人脸检测引擎


int detectSize = 40 * 1024 * 1024;


IntPtr pMem = Marshal.AllocHGlobal(detectSize);


//1-1
//string appId = "4tnYSJ68e8wztSo4Cf7WvbyMZduHwpqtThAEM3obMWbE";


//1-1
//string sdkKey = "Cgbaq34izc8PA2Px26x8qqWTQn2P5vxijaWKdUrdCwYT";


//1-n
string appId = "8b4R2gvcoFQXKbC4wGtnYcqsa9Bd3FLiN3VWDFtJqcnB";


//1-n
string sdkKey = "A5Km3QjZKGuakWRmC2pSWTuNzbNbaSCnj5fFtjBBcdxm";


//人脸检测引擎初始化


// IntPtr aaa= AFD_FSDKLibrary.AFD_FSDK_InitialFaceEngine(appId, sdkKey, pMem, detectSize, ref detectEngine, 5, 50, 1);
int retCode = AmFaceVerify.AFD_FSDK_InitialFaceEngine(appId, sdkKey, pMem, detectSize, ref detectEngine, 5, 50, 1);
//获取人脸检测引擎版本
IntPtr versionPtr = AmFaceVerify.AFD_FSDK_GetVersion(detectEngine);


AFR_FSDK_Version version = (AFR_FSDK_Version)Marshal.PtrToStructure(versionPtr, typeof(AFR_FSDK_Version));


Console.WriteLine("lCodebase:{0} lMajor:{1} lMinor:{2} lBuild:{3} Version:{4} BuildDate:{5} CopyRight:{6}", version.lCodebase, version.lMajor, version.lMinor, version.lBuild, Marshal.PtrToStringAnsi(version.Version), Marshal.PtrToStringAnsi(version.BuildDate), Marshal.PtrToStringAnsi(version.CopyRight));


//Marshal.FreeHGlobal(versionPtr);


#endregion


#region 初始化人脸识别引擎


int recognizeSize = 40 * 1024 * 1024;


IntPtr pMemDetect = Marshal.AllocHGlobal(recognizeSize);


//1-1
//string appIdDetect = "4tnYSJ68e8wztSo4Cf7WvbyMZduHwpqtThAEM3obMWbE";


//1-1
//string sdkKeyDetect = "Cgbaq34izc8PA2Px26x8qqWaaBHbPD7wWMcTU6xe8VRo";


//1-n
string appIdDetect = "8b4R2gvcoFQXKbC4wGtnYcqsa9Bd3FLiN3VWDFtJqcnB";


//1-n
string sdkKeyDetect = "A5Km3QjZKGuakWRmC2pSWTuW9zdndn5EkVDo4LceRxLU";


//人脸识别引擎初始化
retCode = AmFaceVerify.AFR_FSDK_InitialEngine(appIdDetect, sdkKeyDetect, pMemDetect, recognizeSize, ref regcognizeEngine);


//获取人脸识别引擎版本
IntPtr versionPtrDetect = AmFaceVerify.AFR_FSDK_GetVersion(regcognizeEngine);


AFR_FSDK_Version versionDetect = (AFR_FSDK_Version)Marshal.PtrToStructure(versionPtrDetect, typeof(AFR_FSDK_Version));


Console.WriteLine("lCodebase:{0} lMajor:{1} lMinor:{2} lBuild:{3} lFeatureLevel:{4} Version:{5} BuildDate:{6} CopyRight:{7}", versionDetect.lCodebase, versionDetect.lMajor, versionDetect.lMinor, versionDetect.lBuild, versionDetect.lFeatureLevel, Marshal.PtrToStringAnsi(versionDetect.Version), Marshal.PtrToStringAnsi(versionDetect.BuildDate), Marshal.PtrToStringAnsi(versionDetect.CopyRight));


#endregion
}


//拖拽事件
private void Form1_DragDrop(object sender, DragEventArgs e)
{
// Extract the data from the DataObject-Container into a string list
string[] fileList = (string[])e.Data.GetData(DataFormats.FileDrop, false);


if (fileList.Length >= 2)
{
this.threadMultiExec = new Thread(new ParameterizedThreadStart(multiCompare));


this.threadMultiExec.Start(new object[] { fileList });


this.threadMultiExec.IsBackground = true;
}


}


private void Form1_DragEnter(object sender, DragEventArgs e)
{
// Check if the Dataformat of the data can be accepted
// (we only accept file drops from Explorer, etc.)
if (e.Data.GetDataPresent(DataFormats.FileDrop))
{
e.Effect = DragDropEffects.Copy; // Okay
}
else
{
e.Effect = DragDropEffects.None; // Unknown data, ignore it
}
}


//多线程设置PictureBox的图像
private void setPictureBoxControlImage(PictureBox control, Bitmap value)
{
control.Invoke(new Action<PictureBox, Bitmap>((ct, v) => { ct.Image = v; }), new object[] { control, value });
}


//多线程设置控件的文本
private void setControlText(Control control, string value)
{
control.Invoke(new Action<Control, string>((ct, v) => { ct.Text = v; }), new object[] { control, value });
}


//比对多个图片
private void multiCompare(object args)
{
object[] objs = args as object[];


string[] fileList = (string[])objs[0];


for (int i = 0; i < fileList.Length; i++)
{


Image image = Image.FromFile(fileList[i]);


//this.pictureBox1.Image = null;


//this.pictureBox1.Image = new Bitmap(image);


setPictureBoxControlImage(this.pictureBox1, new Bitmap(image));


firstFeature = detectAndExtractFeature(image, 1);


image.Dispose();


if (firstFeature == null)
{


continue;
}


if (i + 1 >= fileList.Length)
{


continue;
}


Image image2 = Image.FromFile(fileList[++i]);


//this.pictureBox2.Image = null;


// this.pictureBox2.Image = new Bitmap(image2);


setPictureBoxControlImage(this.pictureBox2, new Bitmap(image2));


secondFeature = detectAndExtractFeature(image2, 2);


image2.Dispose();


if (secondFeature == null)
{


continue;
}


button3_Click(null, null);


setControlText(this.label6, "正在处理:" + (i + 1).ToString());


//label6.Text = "正在处理:" + (i + 1).ToString();


//this.Update();


Thread.Sleep(10);


}


}

}
}

```