此程序基于 虹软人脸识别进行的开发 SDK下载地址：

前提条件 从虹软官网下载获取ArcFace引擎应用开发包，及其对应的激活码(App_id, SDK_key)

将获取到的开发包导入到您的应用中

App_id与SDK_key是在初始化的时候需要使用 基本类型

所有基本类型在平台库中有定义。 定义规则是在ANSIC 中的基本类型

前加上字母“M”同时将类型的第一个字母改成大写。例如“long” 被定义成“MLong ”数据结构与枚举

AFR_FSDK_FACEINPUT 描述： 脸部信息 定义

typedef struct{MRECT		rcFace;AFR_FSDK_OrientCode  lOrient;} AFR_FSDK_FACEINPUT, *LPAFR_FSDK_FACEINPUT;

成员描述

rcFace脸部矩形框信息lOrient脸部旋转角度

AFR_FSDK_FACEMODEL 描述： 脸部特征信息

定义typedef struct{MByte		*pbFeature;MInt32		lFeatureSize;} AFR_FSDK_FACEMODEL, *LPAFR_FSDK_FACEMODEL;

成员描述

pbFeature提取到的脸部特征

lFeatureSize特征信息长度

AFR_FSDK_VERSION

描述： 引擎版本信息

定义typedef struct{MInt32			lCodebase;MInt32			lMajor;MInt32			lMinor;MInt32			lBuild;MInt32 		lFeatureLevel;MPChar			Version;MPChar			BuildDate;MPChar  		CopyRight;} AFR_FSDK_VERSION, *LPAFR_FSDK_VERSION;

成员描述lCodebase代码库版本号lMajor主版本号lMinor次版本号lBuild编译版本号，递增lFeatureLevel特征库版本号Version字符串形式的版本号BuildDate编译时间CopyRight版权

枚举 AFR_FSDK_ORIENTCODE 描述： 基于逆时针的脸部方向枚举值

定义enum AFR_FSDK_ORIENTCODE{AFR_FSDK_FOC_0		= 0x1,AFR_FSDK_FOC_90		= 0x2,AFR_FSDK_FOC_270		= 0x3,AFR_FSDK_FOC_180 = 0x4,AFR_FSDK_FOC_30		= 0x5,AFR_FSDK_FOC_60		= 0x6,AFR_FSDK_FOC_120		= 0x7,AFR_FSDK_FOC_150		= 0x8,AFR_FSDK_FOC_210		= 0x9,AFR_FSDK_FOC_240		= 0xa,AFR_FSDK_FOC_300		= 0xb,AFR_FSDK_FOC_330		= 0xc};

成员描述AFR_FSDK_FOC_00 度AFR_FSDK_FOC_9090度AFR_FSDK_FOC_270270度AFR_FSDK_FOC_180180度AFR_FSDK_FOC_3030度AFR_FSDK_FOC_6060度AFR_FSDK_FOC_120120度AFR_FSDK_FOC_150150度AFR_FSDK_FOC_210210度AFR_FSDK_FOC_240240度AFR_FSDK_FOC_300300度AFR_FSDK_FOC_330330度

支持的颜色格式 描述： 颜色格式及其对齐规则 定义 ASVL_PAF_I420 8-bit Y层，之后是8-bit的2x2 采样的U层和V层 ASVL_PAF_YUYV Y0, U0, Y1, V0 ASVL_PAF_RGB24_B8G8R8 BGR24, B8G8R8

API ReferenceAFR_FSDK_InitialEngine 描述： 初始化引擎参数

原型MRESULT AFR_FSDK_InitialEngine(MPChar		AppId,MPChar		SDKKey,Mbyte		*pMem,MInt32		lMemSize,MHandle	        *phEngine);

参数

AppId[in] 用户申请SDK时获取的App IdSDKKey[in] 用户申请SDK时获取的SDK KeypMem[in] 分配给引擎使用的内存地址lMemSize[in] 分配给引擎使用的内存大小phEngine[out] 引擎handle

返回值： 成功返回MOK，否则返回失败code。失败codes如下所列: MERR_INVALID_PARAM 参数输入非法 MERR_NO_MEMORY 内存不足 AFR_FSDK_ExtractFRFeature 描述： 获取脸部特征参数

原型MRESULT AFR_FSDK_ExtractFRFeature (    MHandle			hEngine,    LPASVLOFFSCREEN		pInputImage,    LPAFR_FSDK_FACEINPUT	pFaceRes,    LPAFR_FSDK_FACEMODEL	pFaceModels);

参数

hEngine[in] 引擎handlepInputImage[in] 输入的图像数据pFaceRes[in] 已检测到的脸部信息pFaceModels[out] 提取的脸部特征信息

返回值： 成功返回MOK，否则返回失败code。失败codes如下所列: MERR_INVALID_PARAM 参数输入非法 MERR_NO_MEMORY 内存不足 AFR_FSDK_FacePairMatching 描述： 脸部特征比较

原型

MRESULT AFR_FSDK_FacePairMatching(	MHandle			hEngine,	AFR_FSDK_FACEMODEL		*reffeature,	AFR_FSDK_FACEMODEL		*probefeature,	MFloat     			*pfSimilScore);

参数

hEngine[in] 引擎handlereffeature[in] 已有脸部特征信息probefeature[in] 被比较的脸部特征信息pfSimilScore[out] 脸部特征相似程度数值

返回值： 成功返回MOK，否则返回失败code。失败codes如下所列: MERR_INVALID_PARAM 参数输入非法 MERR_NO_MEMORY 内存不足 AFR_FSDK_UninitialEngine 描述： 销毁引擎，释放相应资源

原型MRESULT AFR_FSDK_UninitialEngine(	MHandle          hEngine);

参数 hEngine[in] 引擎handle 返回值： 成功返回MOK，否则返回失败code。失败codes如下所列: MERR_INVALID_PARAM 参数输入非法 AFR_FSDK_GetVersion

原型const AFR_FSDK_VERSION *  AFR_FSDK_GetVersion(     MHandle          hEngine     );

相关事例代码

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.Text;using System.Windows.Forms;using Emgu.CV.CvEnum;using Emgu.CV;//PS:调用的Emgu dll  using Emgu.CV.Structure;using Emgu.Util;using Emgu.CV.UI;using Emgu.CV.OCR;using System.Threading;using ArcsoftFace;using System.Timers;using Emgu.CV.Util;using System.Linq;using System.Runtime.InteropServices;using System.Drawing.Imaging;using System.Text;using System.Diagnostics;using System.Drawing.Drawing2D;namespace ArcsoftFace{    public partial class Form2 : Form    {               private Capture        capture = new Capture(0);        private bool captureinprocess;//判断摄像头的状态           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 string haarXmlPath = "haarcascade_frontalface_alt_tree.xml";        double scale = 1.5;        // web camera          private System.Timers.Timer capture_tick;        private bool capture_flag = true;        Image
    
      gray = null;        Image
     
       smallframe = null;        Mat frame = new Mat();        private int sb = 0;        Rectangle f = new Rectangle();        public Form2()        {            InitializeComponent();            capture_tick = new System.Timers.Timer();            capture_tick.Interval = 50;            capture_tick.Enabled = Enabled;            capture_tick.Stop();            capture_tick.Elapsed += new ElapsedEventHandler(processfram);        }        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;        }        private void button1_Click(object sender, EventArgs e)        {            if (capture != null)//摄像头不为空               {                if (captureinprocess)                {                    imageBox1.Enabled = false;                    //  Application.Idle -= new EventHandler(processfram);                    capture_tick.Stop();                    button1.Text = "Stop";                                   }                else                {                    //  Application.Idle += new EventHandler(processfram);                    imageBox1.Enabled = true;                    capture_tick.Start();                    button1.Text = "Start";                }                captureinprocess = !captureinprocess;            }            else//摄像头为空则通过Capture()方法调用               {                try                {                    capture = new Capture(0);                }                catch (NullReferenceException excpt)                {                    MessageBox.Show(excpt.Message);                }            }        }        private void processfram(object sender, EventArgs arg)        {            capture_tick.Enabled = false;            try            {                if (frame != null)                {                    frame = capture.QueryFrame();                    Emgu.CV.Image
      
        image = frame.ToImage
       
        ();                    Image
        
          currentFrame = image;                    if (sb == 0)                    {                        sb += 1;                        MRECT rect = detectAndExtractFeature(image.ToBitmap(), 1);                        if (Math.Abs(rect.left - f.Left) > 30 || Math.Abs(rect.top - f.Top) > 30)                        {                            f = new Rectangle(rect.left, rect.top, rect.right - rect.left, rect.bottom - rect.top);                        }                    }                    else if (sb >= 4)                    {                        sb = 0;                    }                    else                    {                        sb += 1;                    }                    // currentFrame.Draw(rect, new Bgr(Color.Red));                    // image.Draw(detectAndExtractFeature(image.ToBitmap(),1),new Bgr(Color.Red),3);                    currentFrame.Draw(f, new Bgr(Color.Red), 3);                    imageBox1.Image = currentFrame.ToBitmap();                    PointF pf = new PointF(50, 50);                    using (Graphics g = imageBox1.CreateGraphics())                    {                        Font font = new Font("Arial", 12);                        g.DrawString("left:" + f.Left + "  top:" + f.Top, font, Brushes.Green, pf);                    }                    currentFrame.Dispose();                    image.Dispose(); ;                }                capture_tick.Enabled = true;            }            catch (Exception e)            {                Console.WriteLine(e.Message);                capture_tick.Enabled = true;            }        }        public static void BoundingBox(Image
         
           src, Image
          
            draw) { using (VectorOfVectorOfPoint contours = new VectorOfVectorOfPoint()) { CvInvoke.FindContours(src, contours, null, RetrType.External, ChainApproxMethod.ChainApproxSimple); int count = contours.Size; for (int i = 0; i < count; i++) { using (VectorOfPoint contour = contours[i]) { Rectangle BoundingBox = CvInvoke.BoundingRectangle(contour); CvInvoke.Rectangle(draw, BoundingBox, new MCvScalar(255, 0, 255, 255), 3); } } } } public void CaptureProcess(object sender, EventArgs arg) { Mat frame1 = new Mat(); frame1 = capture.QueryFrame(); if (frame1 != null) { //face detection //frame = frame.Flip(Emgu.CV.CvEnum.FLIP.HORIZONTAL); // smallframe = frame.Resize(1 / scale, Emgu.CV.CvEnum.INTER.CV_INTER_LINEAR);//缩放摄像头拍到的大尺寸照片 gray = smallframe.Convert
           
            (); //Convert it to Grayscale gray._EqualizeHist();//均衡化 CascadeClassifier ccr = new CascadeClassifier(haarXmlPath); Rectangle[] rects = ccr.DetectMultiScale(gray, 1.3, 3, new Size(20, 20), Size.Empty); foreach (Rectangle r in rects) { //This will focus in on the face from the haar results its not perfect but it will remove a majoriy //of the background noise Rectangle facesDetected = r; facesDetected.X += (int)(facesDetected.Height * 0.6); facesDetected.Y += (int)(facesDetected.Width * 0.8); facesDetected.Height += (int)(facesDetected.Height * 0.1); facesDetected.Width += (int)(facesDetected.Width * 0.2); // frame.Draw(facesDetected, new Bgr(Color.Red), 3);//绘制检测框 } // imageBox_capture.Image = frame; } } private MRECT detectAndExtractFeature(Image imageParam, int firstSecondFlg) { byte[] feature = null; MRECT rect = new MRECT(); Bitmap bitmap = new Bitmap(imageParam); byte[] imageData = null; IntPtr imageDataPtr = IntPtr.Zero; ASVLOFFSCREEN offInput = new ASVLOFFSCREEN(); AFD_FSDK_FACERES faceRes = new AFD_FSDK_FACERES(); IntPtr faceResPtr = IntPtr.Zero; try { int width = 0; int height = 0; int pitch = 0; imageData = getBGR(bitmap, ref width, ref height, ref pitch); //GCHandle hObject = GCHandle.Alloc(imageData, GCHandleType.Pinned); //IntPtr imageDataPtr = hObject.AddrOfPinnedObject(); imageDataPtr = Marshal.AllocHGlobal(imageData.Length); Marshal.Copy(imageData, 0, imageDataPtr, imageData.Length); 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; IntPtr offInputPtr = Marshal.AllocHGlobal(Marshal.SizeOf(offInput)); Marshal.StructureToPtr(offInput, offInputPtr, false); faceResPtr = Marshal.AllocHGlobal(Marshal.SizeOf(faceRes)); //Marshal.StructureToPtr(faceRes, faceResPtr, false); //人脸检测 int detectResult = AmFaceVerify.AFD_FSDK_StillImageFaceDetection(detectEngine, offInputPtr, ref faceResPtr); object obj = Marshal.PtrToStructure(faceResPtr, typeof(AFD_FSDK_FACERES)); faceRes = (AFD_FSDK_FACERES)obj; for (int i = 0; i < faceRes.nFace; i++) { 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; } } } } catch (Exception e) { LogHelper.WriteErrorLog("detect", e.Message + "\n" + e.StackTrace); } finally { bitmap.Dispose(); imageData = null; Marshal.FreeHGlobal(imageDataPtr); offInput = new ASVLOFFSCREEN(); faceRes = new AFD_FSDK_FACERES(); } return rect; } private Image DrawRectangleInPicture(Image bmp, Point p0, Point p1, Color RectColor, int LineWidth, DashStyle ds) { if (bmp == null) return null; Graphics g = Graphics.FromImage(bmp); Brush brush = new SolidBrush(RectColor); Pen pen = new Pen(brush, LineWidth); pen.DashStyle = ds; g.DrawRectangle(pen, new Rectangle(p0.X, p0.Y, Math.Abs(p0.X - p1.X), Math.Abs(p0.Y - p1.Y))); g.Dispose(); return bmp; } 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; } } private void Form2_Load(object sender, System.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 } }}USB视频 动态画框 源码下载地址 https://download.csdn.net/download/zhang1244/10368237运行效果地址https://download.csdn.net/download/zhang1244/10368222普通人脸照片进行关键点提取以及相关对比相似度https://download.csdn.net/download/zhang1244/10368197运行效果地址https://download.csdn.net/download/zhang1244/10368181相关技术交流，后期可能开发相关与身份证照片进行实名制对比。请继续关注