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地址： 杭州市西湖区西斗门路3号天堂软件园A幢23楼3添加评论分享收藏感谢收起免费SDK下载链接www.arcsoft.com.cn赞同 1添加评论分享收藏感谢收起写回答C# 虹软SDK视频人脸识别和注册 - 毛毛虫 - 博客园
一，准备工作
1.Afoge视频参数类
using AForge.Video.DirectS
using System.Collections.G
using System.L
using System.T
using System.Threading.T
namespace FaceRecognization.Common
public class CameraPara
/// &summary&
/// 是否有摄像头
/// &/summary&
public bool HasVideoDevice { get; set; }
/// &summary&
/// 视频源
/// &/summary&
public VideoCaptureDevice VideoSource { get; set; }
/// &summary&
/// 视频图片的宽度
/// &/summary&
public int FrameWidth { get; set; }
/// &summary&
/// 视频图片的高度
/// &/summary&
public int FrameHeight { get; set; }
/// &summary&
/// 视频图片的字节数
/// &/summary&
public int ByteCount { get; set; }
public CameraPara()
var videoDevices = new FilterInfoCollection(FilterCategory.VideoInputDevice);
if (videoDevices.Count == 0)//没有检测到摄像头
HasVideoDevice = false;
VideoSource = new VideoCaptureDevice(videoDevices[0].MonikerString);//连接第一个摄像头
var videoResolution = VideoSource.VideoCapabilities.First(ii =& ii.FrameSize.Width == VideoSource.VideoCapabilities.Max(jj =& jj.FrameSize.Width)); //获取摄像头最高的分辨率
FrameWidth = videoResolution.FrameSize.W
FrameHeight = videoResolution.FrameSize.H
ByteCount = videoResolution.BitCount / 8;
VideoSource.VideoResolution = videoR
HasVideoDevice = true;
2.人脸识别相关的结构、类&和枚举
using System.Collections.G
using System.L
using System.Runtime.InteropS
using System.T
using System.Threading.T
namespace FaceRecognization.Face
/// &summary&
/// 人脸库
/// &/summary&
public class FaceLib
public List&Item& Items { get; set; } = new List&Item&();
public class Item
/// &summary&
/// 用于排序
/// &/summary&
public long OrderId { get; set; }
/// &summary&
/// 文件名作为ID
/// &/summary&
public string ID { get; set; }
/// &summary&
/// 人脸模型
/// &/summary&
public FaceModel FaceModel { get; set; }
/// &summary&
/// 人脸识别结果
/// &/summary&
public class FaceResult
//public int NotMatchedCount { }
public string ID { get; set; }
public float Score { get; set; }
public System.Drawing.Rectangle Rectangle { get; set; }
public int Age { get; set; }
/// &summary&
/// 0：男，1：女，其他：未知
/// &/summary&
public int Gender { get; set; }
public override string ToString()
string ret = "";
if (!string.IsNullOrEmpty(ID))
ret = ID + "，";
ret += Age + "岁";
if (Gender == 0)
ret += "，男";
else if (Gender == 1)
ret += "，女";
return ret + "," + S
/// &summary&
/// 人脸跟踪、检测、性别年龄评估和获取人脸信息的输入参数
/// &/summary&
[StructLayout(LayoutKind.Sequential)]
public struct ImageData
public uint u32PixelArrayF
public int i32W
public int i32H
[MarshalAs(UnmanagedType.ByValArray, SizeConst = 4)]
public IntPtr[] ppu8P
[MarshalAs(UnmanagedType.ByValArray, SizeConst = 4, ArraySubType = UnmanagedType.I4)]
public int[] pi32P
/// &summary&
/// 人脸跟踪的结果
/// &/summary&
[StructLayout(LayoutKind.Sequential)]
internal struct TraceResult
[MarshalAs(UnmanagedType.I4)]
public int nF
[MarshalAs(UnmanagedType.I4)]
public int lfaceO
public IntPtr rcF
/// &summary&
/// 人脸检测的结果
/// &/summary&
[StructLayout(LayoutKind.Sequential)]
internal struct DetectResult
[MarshalAs(UnmanagedType.I4)]
public int nF
public IntPtr rcF
public IntPtr lfaceO
/// &summary&
/// 人脸在图片中的位置
/// &/summary&
[StructLayout(LayoutKind.Sequential)]
public struct FaceRect
public int
public int
public int
public int
/// &summary&
/// 获取人脸特征的输入参数
/// &/summary&
[StructLayout(LayoutKind.Sequential)]
internal struct FaceFeatureInput
public FaceRect rcF
public int lO
/// &summary&
/// 人脸特征
/// &/summary&
[StructLayout(LayoutKind.Sequential)]
public struct FaceModel
public IntPtr pbF
[MarshalAs(UnmanagedType.I4)]
public int lFeatureS
/// &summary&
/// 性别和年龄评估的输入参数
/// &/summary&
[StructLayout(LayoutKind.Sequential)]
internal struct EstimationInput
public IntPtr pFaceRectA
public IntPtr pFaceOrientA
public int lFaceN
/// &summary&
/// 性别和年龄评估的结果
/// &/summary&
[StructLayout(LayoutKind.Sequential)]
internal struct EstimationResult
public IntPtr pR
public int lFaceN
/// &summary&
/// 错误代码
/// &/summary&
public enum ErrorCode
/// &summary&
/// &/summary&
/// &summary&
/// 通用错误类型
/// &/summary&
BasicBase = 0x0001,
/// &summary&
/// 错误原因不明
/// &/summary&
Unknown = BasicBase,
/// &summary&
/// 无效的参数
/// &/summary&
InvalidParam = BasicBase + 1,
/// &summary&
/// 引擎不支持
/// &/summary&
Unsupported = BasicBase + 2,
/// &summary&
/// 内存不足
/// &/summary&
NoMemory = BasicBase + 3,
/// &summary&
/// 状态错误
/// &/summary&
BadState = BasicBase + 4,
/// &summary&
/// 用户取消相关操作
/// &/summary&
UserCancel = BasicBase + 5,
/// &summary&
/// 操作时间过期
/// &/summary&
Expired = BasicBase + 6,
/// &summary&
/// 用户暂停操作
/// &/summary&
UserPause = BasicBase + 7,
/// &summary&
/// 缓冲上溢
/// &/summary&
BufferOverflow = BasicBase + 8,
/// &summary&
/// 缓冲下溢
/// &/summary&
BufferUnderflow = BasicBase + 9,
/// &summary&
/// 存贮空间不足
/// &/summary&
NoDiskspace = BasicBase + 10,
/// &summary&
/// 组件不存在
/// &/summary&
ComponentNotExist = BasicBase + 11,
/// &summary&
/// 全局数据不存在
/// &/summary&
GlobalDataNotExist = BasicBase + 12,
/// &summary&
/// Free SDK通用错误类型
/// &/summary&
SdkBase = 0x7000,
/// &summary&
/// 无效的App Id
/// &/summary&
InvalidAppId = SdkBase + 1,
/// &summary&
/// 无效的SDK key
/// &/summary&
InvalidSdkId = SdkBase + 2,
/// &summary&
/// AppId和SDKKey不匹配
/// &/summary&
InvalidIdPair = SdkBase + 3,
/// &summary&
/// SDKKey 和使用的SDK 不匹配
/// &/summary&
MismatchIdAndSdk = SdkBase + 4,
/// &summary&
/// 系统版本不被当前SDK所支持
/// &/summary&
SystemVersionUnsupported = SdkBase + 5,
/// &summary&
/// SDK有效期过期，需要重新下载更新
/// &/summary&
LicenceExpired = SdkBase + 6,
/// &summary&
/// Face Recognition错误类型
/// &/summary&
FaceRecognitionBase = 0x12000,
/// &summary&
/// 无效的输入内存
/// &/summary&
InvalidMemoryInfo = FaceRecognitionBase + 1,
/// &summary&
/// 无效的输入图像参数
/// &/summary&
InvalidImageInfo = FaceRecognitionBase + 2,
/// &summary&
/// 无效的脸部信息
/// &/summary&
InvalidFaceInfo = FaceRecognitionBase + 3,
/// &summary&
/// 当前设备无GPU可用
/// &/summary&
NoGpuAvailable = FaceRecognitionBase + 4,
/// &summary&
/// 待比较的两个人脸特征的版本不一致
/// &/summary&
MismatchedFeatureLevel = FaceRecognitionBase + 5
/// &summary&
/// 脸部角度的检测范围
/// &/summary&
public enum OrientPriority
/// &summary&
/// 检测 0 度（&45 度）方向
/// &/summary&
Only0 = 0x1,
/// &summary&
/// 检测 90 度（&45 度）方向
/// &/summary&
Only90 = 0x2,
/// &summary&
/// 检测 270 度（&45 度）方向
/// &/summary&
Only270 = 0x3,
/// &summary&
/// 检测 180 度（&45 度）方向
/// &/summary&
Only180 = 0x4,
/// &summary&
/// 检测 0， 90， 180， 270 四个方向,0 度更优先
/// &/summary&
Ext0 = 0x5
3.虹软SDK的dll封装
注意要把相应的dll复制的debug\Libs文件夹或release\Libs文件夹
using System.Collections.G
using System.L
using System.Runtime.InteropS
using System.T
using System.Threading.T
namespace FaceRecognization.Face
internal class Detect
private const string DllPath = "Libs/libarcsoft_fsdk_face_detection.dll";
/// &summary&
/// &/summary&
/// &param name="appId"&&/param&
/// &param name="sdkKey"&&/param&
/// &param name="memory"&&/param&
/// &param name="memroySize"&&/param&
/// &param name="engine"&&/param&
/// &param name="orientPriority"&&/param&
/// &param name="scale"&最小人脸尺寸有效值范围[2,50] 推荐值 16。该尺寸是人脸相对于所在图片的长边的占比。例如，如果用户想检测到的最小人脸尺寸是图片长度的 1/8，那么这个 nScale 就应该设置为8&/param&
/// &param name="maxFaceNumber"&用户期望引擎最多能检测出的人脸数有效值范围[1,100]&/param&
/// &returns&&/returns&
[DllImport(DllPath, EntryPoint = "AFD_FSDK_InitialFaceEngine", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int Init(string appId, string sdkKey, byte[] memory, int memroySize, out IntPtr engine, int orientPriority, int scale, int maxFaceNumber);
[DllImport(DllPath, EntryPoint = "AFD_FSDK_StillImageFaceDetection", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int Detection(IntPtr engine, ref ImageData imgData, out IntPtr pDetectResult);
[DllImport(DllPath, EntryPoint = "AFD_FSDK_UninitialFaceEngine", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int Close(IntPtr engine);
internal class Trace
private const string DllPath = "Libs/libarcsoft_fsdk_face_tracking.dll";
/// &summary&
/// &/summary&
/// &param name="appId"&&/param&
/// &param name="sdkKey"&&/param&
/// &param name="buffer"&&/param&
/// &param name="bufferSize"&&/param&
/// &param name="engine"&&/param&
/// &param name="orientPriority"&&/param&
/// &param name="scale"&最小人脸尺寸有效值范围[2,16] 推荐值 16。该尺寸是人脸相对于所在图片的长边的占比。例如，如果用户想检测到的最小人脸尺寸是图片长度的 1/8，那么这个 nScale 就应该设置为8&/param&
/// &param name="faceNumber"&用户期望引擎最多能检测出的人脸数有效值范围[1,20]&/param&
/// &returns&&/returns&
[DllImport(DllPath, EntryPoint = "AFT_FSDK_InitialFaceEngine", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int Init(string appId, string sdkKey, byte[] buffer, int bufferSize, out IntPtr engine, int orientPriority, int scale, int faceNumber);
[DllImport(DllPath, EntryPoint = "AFT_FSDK_FaceFeatureDetect", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int Detection(IntPtr engine, ref ImageData imgData, out IntPtr pTraceResult);
[DllImport(DllPath, EntryPoint = "AFT_FSDK_UninitialFaceEngine", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int Close(IntPtr engine);
internal class Match
private const string DllPath = "Libs/libarcsoft_fsdk_face_recognition.dll";
[DllImport(DllPath, EntryPoint = "AFR_FSDK_InitialEngine", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int Init(string appId, string sdkKey, byte[] buffer, int bufferSize, out IntPtr engine);
[DllImport(DllPath, EntryPoint = "AFR_FSDK_ExtractFRFeature", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int ExtractFeature(IntPtr engine, ref ImageData imageData, ref FaceFeatureInput faceFeatureInput, out FaceModel pFaceModels);
[DllImport(DllPath, EntryPoint = "AFR_FSDK_FacePairMatching", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int FacePairMatch(IntPtr engine, ref FaceModel faceModel1, ref FaceModel faceModel2, out float score);
[DllImport(DllPath, EntryPoint = "AFR_FSDK_UninitialEngine", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int Close(IntPtr engine);
internal class Age
private const string DllPosition = "libs/libarcsoft_fsdk_age_estimation.dll";
[DllImport(DllPosition, EntryPoint = "ASAE_FSDK_InitAgeEngine", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int Init(string appId, string sdkKey, byte[] buffer, int bufferSize, out IntPtr engine);
[DllImport(DllPosition, EntryPoint = "ASAE_FSDK_AgeEstimation_StaticImage", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int EstimationStatic(IntPtr engine, ref ImageData imgData, ref EstimationInput estimationInputInput, out EstimationResult pAgeResult);
[DllImport(DllPosition, EntryPoint = "ASAE_FSDK_AgeEstimation_Preview", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int EstimationPreview(IntPtr engine, ref ImageData imgData, ref EstimationInput estimationInputInput, out EstimationResult pAgeResult);
[DllImport(DllPosition, EntryPoint = "ASAE_FSDK_UninitAgeEngine", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int Close(IntPtr engine);
internal class Gender
private const string DllPosition = "libs/libarcsoft_fsdk_gender_estimation.dll";
[DllImport(DllPosition, EntryPoint = "ASGE_FSDK_InitGenderEngine", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int Init(string appId, string sdkKey, byte[] buffer, int bufferSize, out IntPtr engine);
[DllImport(DllPosition, EntryPoint = "ASGE_FSDK_GenderEstimation_StaticImage", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int EstimationStatic(IntPtr engine, ref ImageData imgData, ref EstimationInput estimationInputInput, out EstimationResult pGenderResult);
[DllImport(DllPosition, EntryPoint = "ASGE_FSDK_GenderEstimation_Preview", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int EstimationPreview(IntPtr engine, ref ImageData imgData, ref EstimationInput estimationInputInput, out EstimationResult pGenderResesult);
[DllImport(DllPosition, EntryPoint = "ASGE_FSDK_UninitGenderEngine", CallingConvention = CallingConvention.Cdecl, CharSet = CharSet.Ansi)]
public static extern int Close(IntPtr engine);
二、正式开始
1.添加一个Form，将Name改为&Main&，添加Load和FormClosing事件
2.拖一个Afoge.Controls.VideoSourcePlayer到Main，将Name改为&VideoPlayer&，添加Click事件；
3.拖一个PictureBox到Main，懒得改名字了，就叫&pictureBox1&；
4.拖一个Lable到Main，将Text改为&ID&；
5.拖一个TextBox到Main，将Name改为&TextBoxID&；
6.拖一个Button到Main，将Name改为ButtonRegister，将Text改为&注册&，添加Click事件。
界面如下图，从左到右，从上到下6个控件：
对应的代码为：
using AForge.Video.DirectS
using System.Collections.G
using System.ComponentM
using System.D
using System.D
using System.L
using System.T
using System.Threading.T
using System.Windows.F
using FaceRecognization.C
using System.Runtime.InteropS
using System.D
using System.IO;
using System.T
using System.Drawing.I
namespace FaceRecognization
public partial class Main : Form
#region Property
/// &summary&
/// 保存人脸数据的文件夹
/// &/summary&
const string FeaturePath = "d:\\FeatureData";
/// &summary&
/// 虹软SDK的AppId
/// &/summary&
const string FaceAppId = "BKgqTWQPQQbomfqvyd2VJzTbzo5C4T5w4tzgN3GL6euK";
/// &summary&
/// 虹软SDK人脸跟踪的Key
/// &/summary&
const string FaceTraceKey = "2Yqm2EcsJyBbJjSrirPSNoyHDRKCrS53XgUDeRRxtKyR";
/// &summary&
/// 虹软SDK人脸检测的Key
/// &/summary&
const string FaceDetectKey = "2Yqm2EcsJyBbJjSrirPSNoyQNpaSJz19noCteLQ88SoG";
/// &summary&
/// 虹软SDK人脸比对的Key
/// &/summary&
const string FaceMatchKey = "2Yqm2EcsJyBbJjSrirPSNoyu2Rd4j1ydfwxwFX9vPmtY";
/// &summary&
/// 虹软SDK年龄识别的Key
/// &/summary&
const string FaceAgeKey = "2Yqm2EcsJyBbJjSrirPSNoz9ME9R4xnKU9yecD8Axu1D";
/// &summary&
/// 虹软SDK性别识别的Key
/// &/summary&
const string FaceGenderKey = "2Yqm2EcsJyBbJjSrirPSNozGWdQedYzhEUMw5FBegKVR";
/// &summary&
/// 缓存大小
/// &/summary&
const int BufferSize = 40 * 1024 * 1024;
/// &summary&
/// 人脸跟踪的缓存
/// &/summary&
//byte[] _FaceTraceBuffer = new byte[BufferSize];
/// &summary&
/// 人脸检测的缓存
/// &/summary&
byte[] _FaceDetectBuffer = new byte[BufferSize];
/// &summary&
/// 人脸比对的缓存
/// &/summary&
byte[] _FaceMatchBuffer = new byte[BufferSize];
/// &summary&
/// 年龄识别的缓存
/// &/summary&
//byte[] _FaceAgeBuffer = new byte[BufferSize];
/// &summary&
/// 性别识别的缓存
/// &/summary&
//byte[] _FaceGenderBuffer = new byte[BufferSize];
/// &summary&
/// 人脸跟踪的引擎
/// &/summary&
//IntPtr _FaceTraceEnginer = IntPtr.Z
/// &summary&
/// 人脸检测的引擎
/// &/summary&
IntPtr _FaceDetectEnginer = IntPtr.Z
/// &summary&
/// 人脸比对的引擎
/// &/summary&
IntPtr _FaceMatchEngine = IntPtr.Z
/// &summary&
/// 年龄识别的引擎
/// &/summary&
//IntPtr _FaceAgeEngine = IntPtr.Z
/// &summary&
/// 性别识别的引擎
/// &/summary&
//IntPtr _FaceGenderEngine = IntPtr.Z
/// &summary&
/// 人脸库字典
/// &/summary&
Face.FaceLib _FaceLib = new Face.FaceLib();
/// &summary&
/// 摄像头参数
/// &/summary&
CameraPara _CameraPara = null;
double _RateW, _RateH;
private readonly ReaderWriterLockSlim _CacheLock = new ReaderWriterLockSlim();
Face.FaceResult _FaceResult = new Face.FaceResult();
System.Threading.CancellationTokenSource _CancellationTokenSource = new System.Threading.CancellationTokenSource();
bool _RegisterClicked = false;
byte[] _RegisterFeatureData = null;
#endregion
public Main()
InitializeComponent();
private void Main_Load(object sender, EventArgs e)
if (!Directory.Exists(FeaturePath))
Directory.CreateDirectory(FeaturePath);
foreach (var file in Directory.GetFiles(FeaturePath))
var info = new FileInfo(file);
var data = File.ReadAllBytes(file);
var faceModel = new Face.FaceModel
lFeatureSize = data.Length,
pbFeature = Marshal.AllocHGlobal(data.Length)
Marshal.Copy(data, 0, faceModel.pbFeature, data.Length);
_FaceLib.Items.Add(new Face.FaceLib.Item() { OrderId = 0, ID = info.Name.Replace(info.Extension, ""), FaceModel = faceModel });
_CameraPara = new Common.CameraPara();
if (!_CameraPara.HasVideoDevice)
MessageBox.Show("没有检测到摄像头");
this.Close();
this.VideoPlayer.VideoSource = _CameraPara.VideoS
this.VideoPlayer.Start();
_RateH = 1.0 * this.VideoPlayer.Height / this._CameraPara.FrameH
_RateW = 1.0 * this.VideoPlayer.Width / this._CameraPara.FrameW
//var initResult = (Face.ErrorCode)Face.Trace.Init(FaceAppId, FaceTraceKey, _FaceTraceBuffer, BufferSize, out _FaceTraceEnginer, (int)Face.OrientPriority.Only0, 16, 1);
//if (initResult != Face.ErrorCode.Ok)
MessageBox.Show("初始化人脸跟踪引擎失败，错误代码为：" + initResult);
this.Close();
var initResult = (Face.ErrorCode)Face.Detect.Init(FaceAppId, FaceDetectKey, _FaceDetectBuffer, BufferSize, out _FaceDetectEnginer, (int)Face.OrientPriority.Only0, 16, 1);
if (initResult != Face.ErrorCode.Ok)
MessageBox.Show("初始化人脸检测引擎失败，错误代码为：" + initResult);
this.Close();
initResult = (Face.ErrorCode)Face.Match.Init(FaceAppId, FaceMatchKey, _FaceMatchBuffer, BufferSize, out _FaceMatchEngine);
if (initResult != Face.ErrorCode.Ok)
MessageBox.Show("初始化人脸比对引擎失败，错误代码为：" + initResult);
this.Close();
//initResult = (Face.ErrorCode)Face.Age.Init(FaceAppId, FaceAgeKey, _FaceAgeBuffer, BufferSize, out _FaceAgeEngine);
//if (initResult != Face.ErrorCode.Ok)
MessageBox.Show("初始化年龄识别引擎失败，错误代码为：" + initResult);
this.Close();
//initResult = (Face.ErrorCode)Face.Gender.Init(FaceAppId, FaceGenderKey, _FaceGenderBuffer, BufferSize, out _FaceGenderEngine);
//if (initResult != Face.ErrorCode.Ok)
MessageBox.Show("初始化性别识别引擎失败，错误代码为：" + initResult);
this.Close();
Task.Factory.StartNew(() =&
Task.Delay(1000).Wait();
while (!_CancellationTokenSource.IsCancellationRequested)
#region 200毫秒左右
MatchFrame();
#endregion
}, _CancellationTokenSource.Token);
private void Main_FormClosing(object sender, FormClosingEventArgs e)
if (_CameraPara.HasVideoDevice)
_CancellationTokenSource.Cancel();
System.Threading.Thread.Sleep(500);
this.VideoPlayer.Stop();
if (_FaceMatchEngine != IntPtr.Zero)
Face.Match.Close(_FaceMatchEngine);
//if (_FaceTraceEnginer != IntPtr.Zero)
Face.Trace.Close(_FaceTraceEnginer);
if (_FaceDetectEnginer != IntPtr.Zero)
Face.Detect.Close(_FaceDetectEnginer);
//if (_FaceAgeEngine != IntPtr.Zero)
Face.Age.Close(_FaceAgeEngine);
//if (_FaceGenderEngine != IntPtr.Zero)
Face.Gender.Close(_FaceGenderEngine);
private void MatchFrame()
#region 获取图片 1毫秒
var bitmap = this.VideoPlayer.GetCurrentVideoFrame();
#endregion
Stopwatch sw = new Stopwatch();
sw.Start();
#region 图片转换 0.7-2微妙
var bmpData = bitmap.LockBits(new Rectangle(0, 0, bitmap.Width, bitmap.Height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb);
var imageData = new Face.ImageData
u32PixelArrayFormat = 513,//Rgb24,
i32Width = bitmap.Width,
i32Height = bitmap.Height,
pi32Pitch = new int[4],
ppu8Plane = new IntPtr[4]
imageData.pi32Pitch[0] = bmpData.S
imageData.ppu8Plane[0] = bmpData.Scan0;
sw.Stop();
_FaceResult.Score = sw.ElapsedT
#endregion
#region 人脸检测 5-8毫秒
var ret = (Face.ErrorCode)Face.Detect.Detection(_FaceDetectEnginer, ref imageData, out var pDetectResult);
if (ret != Face.ErrorCode.Ok)
var detectResult = Marshal.PtrToStructure&Face.DetectResult&(pDetectResult);
if (detectResult.nFace == 0)
var faceRect = Marshal.PtrToStructure&Face.FaceRect&(detectResult.rcFace);
_FaceResult.Rectangle = new Rectangle((int)(faceRect.left * _RateW), (int)(faceRect.top * _RateH), (int)((faceRect.right - faceRect.left) * _RateW), (int)((faceRect.bottom - faceRect.top) * _RateH));
var faceOrient = Marshal.PtrToStructure&int&(detectResult.lfaceOrient);
#endregion
#region 性别识别基本准确 年龄识别误差太大，没什么应用场景
//Face.ExtraFaceInput faceInput = new Face.ExtraFaceInput()
lFaceNumber = facesDetect.nFace,
pFaceRectArray = Marshal.AllocHGlobal(Marshal.SizeOf(faceRect)),
pFaceOrientArray = Marshal.AllocHGlobal(Marshal.SizeOf(faceOrient))
//Marshal.StructureToPtr(faceRect, faceInput.pFaceRectArray, false);
//Marshal.StructureToPtr(faceOrient, faceInput.pFaceOrientArray, false);
//var ageResult = Face.Age.ASAE_FSDK_AgeEstimation_Preview(_FaceAgeEngine, ref imageData, ref faceInput, out var pAgeRes);
//var ages = pAgeRes.pResult.ToStructArray&int&(pAgeRes.lFaceNumber);
//var genderResult = Face.Gender.ASGE_FSDK_GenderEstimation_Preview(_FaceGenderEngine, ref imageData, ref faceInput, out var pGenderRes);
//var genders = pGenderRes.pResult.ToStructArray&int&(pGenderRes.lFaceNumber);
//_FaceResult.Age = ages[0];
//_FaceResult.Gender = genders[0];
//Marshal.FreeHGlobal(faceInput.pFaceOrientArray);
//Marshal.FreeHGlobal(faceInput.pFaceRectArray);
#endregion
#region 获取人脸特征 160-180毫秒
var faceFeatureInput = new Face.FaceFeatureInput
rcFace = faceRect,
lOrient = faceOrient
ret = (Face.ErrorCode)Face.Match.ExtractFeature(_FaceMatchEngine, ref imageData, ref faceFeatureInput, out var faceModel);
#endregion
if (ret == Face.ErrorCode.Ok)
if (_RegisterClicked)
_RegisterFeatureData = new byte[faceModel.lFeatureSize];
Marshal.Copy(faceModel.pbFeature, _RegisterFeatureData, 0, faceModel.lFeatureSize);
#region 人脸识别（100张人脸） 17-20毫秒
foreach (var item in _FaceLib.Items.OrderByDescending(ii =& ii.OrderId))
var fm = item.FaceM
Face.Match.FacePairMatch(_FaceMatchEngine, ref fm, ref faceModel, out float score);
if (score & 0.5)
item.OrderId = DateTime.Now.T
_FaceResult.ID = item.ID;
#endregion
bitmap.UnlockBits(bmpData);
if (_RegisterClicked)
this.pictureBox1.Invoke(new Action(() =&
this.pictureBox1.Image =
_RegisterClicked = false;
bitmap.Dispose();
private void VideoPlayer_Paint(object sender, PaintEventArgs e)
e.Graphics.DrawRectangle(Pens.White, _FaceResult.Rectangle);
e.Graphics.DrawString(_FaceResult.ID , this.Font, Brushes.White, _FaceResult.Rectangle.Left, _FaceResult.Rectangle.Top - 20);
private void VideoPlayer_Click(object sender, EventArgs e)
_RegisterFeatureData = null;
_RegisterClicked = true;
this.TextBoxID.Text = _FaceResult.ID;
private void ButtonRegister_Click(object sender, EventArgs e)
if (_RegisterFeatureData == null)
MessageBox.Show("没有人脸数据，请面对摄像头并点击视频");
if (string.IsNullOrEmpty(this.TextBoxID.Text))
MessageBox.Show("请输入Id");
this.TextBoxID.Focus();
var fileName = FeaturePath + "\\" + this.TextBoxID.Text + ".dat";
if (System.IO.File.Exists(fileName))
if (MessageBox.Show($"您要替换[{this.TextBoxID.Text}]的人脸数据吗？", "咨询", MessageBoxButtons.YesNo, MessageBoxIcon.Question, MessageBoxDefaultButton.Button1) == DialogResult.No)
System.IO.File.WriteAllBytes(fileName, _RegisterFeatureData);
var faceModel = new Face.FaceModel
lFeatureSize = _RegisterFeatureData.Length,
pbFeature = Marshal.AllocHGlobal(_RegisterFeatureData.Length)
Marshal.Copy(_RegisterFeatureData, 0, faceModel.pbFeature, _RegisterFeatureData.Length);
_FaceLib.Items.Add(new Face.FaceLib.Item() { OrderId = DateTime.Now.Ticks, ID = this.TextBoxID.Text, FaceModel = faceModel });
按F5运行，能给最大的人脸画框，如比对通过显示框上面显示ID
1.点击 视频；
3.点击 注册
可以有打赏吗？别太多10元就行，哈哈。
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