C# 图片人脸识别

此程序基于 虹软人脸识别进行的开发


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 Id
SDKKey[in] 用户申请SDK时获取的SDK Key
pMem[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handle
pInputImage[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handle
reffeature[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
描述： 获取SDK版本信息参数
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.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 + "
" + 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);


}


}

}
}

```

　　

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

【推广】 免费学中医，健康全家人
原文地址：https://www.cnblogs.com/Zzz-/p/10594226.html