C# USB視頻人臉檢測
此程序基於 虹軟人臉識別進行的開發 SDK下載地址：https://ai.arcsoft.com.cn/ucenter/user/reg?utm_source=csdn1&utm_medium=referralweb
前提條件 從虹軟官網下載獲取ArcFace引擎應用開發包，及其對應的激活碼(App_id, SDK_key)數組
將獲取到的開發包導入到您的應用中數據結構
App_id與SDK_key是在初始化的時候須要使用 基本類型app
全部基本類型在平臺庫中有定義。 定義規則是在ANSIC 中的基本類型ide
前加上字母「M」同時將類型的第一個字母改爲大寫。例如「long」 被定義成「MLong 」數據結構與枚舉ui
AFR_FSDK_FACEINPUT 描述： 臉部信息 定義this
typedef struct{
MRECT rcFace;
AFR_FSDK_OrientCode lOrient;
} AFR_FSDK_FACEINPUT, *LPAFR_FSDK_FACEINPUT;
成員描述spa
rcFace臉部矩形框信息 lOrient臉部旋轉角度
AFR_FSDK_FACEMODEL 描述： 臉部特徵信息.net
定義
typedef struct{
MByte *pbFeature;
MInt32 lFeatureSize;
} AFR_FSDK_FACEMODEL, *LPAFR_FSDK_FACEMODEL;
成員描述線程
pbFeature提取到的臉部特徵
lFeatureSize特徵信息長度
AFR_FSDK_VERSION
描述： 引擎版本信息
定義
typedef struct{
MInt32 lCodebase;
MInt32 lMajor;
MInt32 lMinor;
MInt32 lBuild;
MInt32 lFeatureLevel;
MPChar Version;
MPChar BuildDate;
MPChar CopyRight;
} AFR_FSDK_VERSION, *LPAFR_FSDK_VERSION;
成員描述 lCodebase代碼庫版本號 lMajor主版本號 lMinor次版本號 lBuild編譯版本號，遞增 lFeatureLevel特徵庫版本號 Version字符串形式的版本號 BuildDate編譯時間 CopyRight版權
枚舉 AFR_FSDK_ORIENTCODE 描述： 基於逆時針的臉部方向枚舉值
定義
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
};
成員描述 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
支持的顏色格式 描述： 顏色格式及其對齊規則 定義 ASVL_PAF_I420 8-bit Y層，以後是8-bit的2x2 採樣的U層和V層 ASVL_PAF_YUYV Y0, U0, Y1, V0 ASVL_PAF_RGB24_B8G8R8 BGR24, B8G8R8
API ReferenceAFR_FSDK_InitialEngine 描述： 初始化引擎參數
原型 MRESULT AFR_FSDK_InitialEngine( MPChar AppId, MPChar SDKKey, Mbyte *pMem, MInt32 lMemSize, MHandle *phEngine );
參數
AppId[in] 用戶申請SDK時獲取的App Id SDKKey[in] 用戶申請SDK時獲取的SDK Key pMem[in] 分配給引擎使用的內存地址 lMemSize[in] 分配給引擎使用的內存大小 phEngine[out] 引擎handle
返回值： 成功返回MOK，不然返回失敗code。失敗codes以下所列: MERR_INVALID_PARAM 參數輸入非法 MERR_NO_MEMORY 內存不足 AFR_FSDK_ExtractFRFeature 描述： 獲取臉部特徵參數
原型
MRESULT AFR_FSDK_ExtractFRFeature (
MHandle hEngine,
LPASVLOFFSCREEN pInputImage,
LPAFR_FSDK_FACEINPUT pFaceRes,
LPAFR_FSDK_FACEMODEL pFaceModels
);
參數
hEngine[in] 引擎handle pInputImage[in] 輸入的圖像數據 pFaceRes[in] 已檢測到的臉部信息 pFaceModels[out] 提取的臉部特徵信息
返回值： 成功返回MOK，不然返回失敗code。失敗codes以下所列: MERR_INVALID_PARAM 參數輸入非法 MERR_NO_MEMORY 內存不足 AFR_FSDK_FacePairMatching 描述： 臉部特徵比較
原型
MRESULT AFR_FSDK_FacePairMatching( MHandle hEngine, AFR_FSDK_FACEMODEL *reffeature, AFR_FSDK_FACEMODEL *probefeature, MFloat *pfSimilScore );
參數
hEngine[in] 引擎handle reffeature[in] 已有臉部特徵信息 probefeature[in] 被比較的臉部特徵信息 pfSimilScore[out] 臉部特徵類似程度數值
返回值： 成功返回MOK，不然返回失敗code。失敗codes以下所列: MERR_INVALID_PARAM 參數輸入非法 MERR_NO_MEMORY 內存不足 AFR_FSDK_UninitialEngine 描述： 銷燬引擎，釋放相應資源
原型 MRESULT AFR_FSDK_UninitialEngine( MHandle hEngine );
參數 hEngine[in] 引擎handle 返回值： 成功返回MOK，不然返回失敗code。失敗codes以下所列: MERR_INVALID_PARAM 參數輸入非法 AFR_FSDK_GetVersion
原型
const AFR_FSDK_VERSION * AFR_FSDK_GetVersion(
MHandle hEngine
);
相關事例代碼
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
{
/**
* 初始化人臉檢測引擎
* @return 初始化人臉檢測引擎
*/
[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);
/**
* 獲取人臉檢測 SDK 版本信息
* @return 獲取人臉檢測SDK 版本信息
*/
[DllImport("libarcsoft_fsdk_face_detection.dll", CallingConvention = CallingConvention.Cdecl)]
public static extern IntPtr AFD_FSDK_GetVersion(IntPtr pEngine);
/**
* 根據輸入的圖像檢測出人臉位置，通常用於靜態圖像檢測
* @return 人臉位置
*/
[DllImport("libarcsoft_fsdk_face_detection.dll", CallingConvention = CallingConvention.Cdecl)]
public static extern int AFD_FSDK_StillImageFaceDetection(IntPtr pEngine, IntPtr offline, ref IntPtr faceRes);
/**
* 初始化人臉識別引擎
* @return 初始化人臉識別引擎
*/
[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);
/**
* 獲取人臉識別SDK 版本信息
* @return 獲取人臉識別SDK 版本信息
*/
[DllImport("libarcsoft_fsdk_face_recognition.dll", CallingConvention = CallingConvention.Cdecl)]
public static extern IntPtr AFR_FSDK_GetVersion(IntPtr pEngine);
/**
* 提取人臉特徵
* @return 提取人臉特徵
*/
[DllImport("libarcsoft_fsdk_face_recognition.dll", CallingConvention = CallingConvention.Cdecl)]
public static extern int AFR_FSDK_ExtractFRFeature(IntPtr pEngine, IntPtr offline, IntPtr faceResult, IntPtr localFaceModels);
/**
* 獲取類似度
* @return 獲取類似度
*/
[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
///**
// * 建立人臉檢測引擎
// * @param [in] model_path 模型文件夾路徑
// * @param [out] engine 建立的人臉檢測引擎
// * @return =0 表示成功，<0 表示錯誤碼。
// */
//[DllImport("AmFaceDet.dll", CallingConvention = CallingConvention.Cdecl)]
//public static extern int AmCreateFaceDetectEngine(string modelPath, ref IntPtr faceDetectEngine);
///**
// * 建立人臉識別引擎
// * @param [in] model_path 模型文件夾路徑
// * @param [out] engine 建立的人臉識別引擎
// * @return =0 表示成功，<0 表示錯誤碼。
// */
//[DllImport("AmFaceRec.dll", CallingConvention = CallingConvention.Cdecl)]
//public static extern int AmCreateFaceRecogniseEngine(string modelPath, ref IntPtr facRecogniseeEngine);
///**
// * 建立人臉比對別引擎
// * @param [in] model_path 模型文件夾路徑
// * @param [out] engine 建立的人臉比對引擎
// * @return =0 表示成功，<0 表示錯誤碼。
// */
//[DllImport("AmFaceCompare.dll", CallingConvention = CallingConvention.Cdecl)]
//public static extern int AmCreateFaceCompareEngine(ref IntPtr facCompareEngine);
///**
// * 設置人臉引擎參數
// * @param [in] engine 人臉引擎
// * @param [in] param 人臉參數
// */
//[DllImport("AmFaceDet.dll", CallingConvention = CallingConvention.Cdecl)]
//public static extern void AmSetParam(IntPtr faceDetectEngine, [MarshalAs(UnmanagedType.LPArray)] [In] TFaceParams[] setFaceParams);
///**
// * 人臉檢測
// * @param [in] engine 人臉引擎
// * @param [in] bgr 圖像數據，BGR格式
// * @param [in] width 圖像寬度
// * @param [in] height 圖像高度
// * @param [in] pitch 圖像數據行字節數
// * @param [in,out] faces 人臉結構體數組，元素個數應等於指望檢測人臉個數
// * @param [in] face_count 指望檢測人臉個數
// * @return >=0 表示實際檢測到的人臉數量，<0 表示錯誤碼。
// */
//[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);
///**
// * 抽取人臉特徵
// * @param [in] engine 人臉引擎
// * @param [in] bgr 圖像數據，BGR格式
// * @param [in] width 圖像寬度
// * @param [in] height 圖像高度
// * @param [in] pitch 圖像數據行字節數
// * @param [in] face 人臉結構體
// * @param [out] feature 人臉特徵
// * @return =0 表示成功，<0 表示錯誤碼。
// */
//[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);
///**
// * 比對兩我的臉特徵類似度
// * @param [in] engine 人臉引擎
// * @param [in] feature1 人臉特徵1
// * @param [in] feature2 人臉特徵2
// * @return 人臉類似度
// */
//[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:調用的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;//判斷攝像頭的狀態
byte[] firstFeature;
byte[] secondFeature;
//人臉檢測引擎
IntPtr detectEngine = IntPtr.Zero;
//人臉識別引擎
IntPtr regcognizeEngine = IntPtr.Zero;
//拖拽線程
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, Byte> gray = null;
Image<Bgr, Byte> 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)//攝像頭不爲空
{
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//攝像頭爲空則經過Capture()方法調用
{
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<Bgr, Byte> image = frame.ToImage<Bgr, Byte>();
Image<Bgr, Byte> 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<Gray, byte> src, Image<Bgr, byte> 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);//縮放攝像頭拍到的大尺寸照片
gray = smallframe.Convert<Gray, Byte>(); //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);//繪製檢測框
}
// 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);
//人臉檢測
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 初始化人臉檢測引擎
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";
//人臉檢測引擎初始化
// 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);
//獲取人臉檢測引擎版本
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 初始化人臉識別引擎
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";
//人臉識別引擎初始化
retCode = AmFaceVerify.AFR_FSDK_InitialEngine(appIdDetect, sdkKeyDetect, pMemDetect, recognizeSize, ref regcognizeEngine);
//獲取人臉識別引擎版本
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視頻 動態畫框 源碼下載地址
https://download.csdn.net/download/zhang1244/10368237
運行效果地址
https://download.csdn.net/download/zhang1244/10368222
普通人臉照片進行關鍵點提取以及相關對比類似度
https://download.csdn.net/download/zhang1244/10368197
運行效果地址
https://download.csdn.net/download/zhang1244/10368181
相關技術交流，後期可能開發相關與身份證照片進行實名制對比。請繼續關注
相關文章
- 1. C# USB視頻人臉檢測
- 2. OpenCV人臉檢測 C++
- 3. labview 人臉識別 人臉特徵點檢測 人臉檢測
- 4. 人臉檢測
- 5. 人工智能-OpenCV+Python實現人臉識別（視頻人臉檢測）
- 6. OpenCV：人臉檢測和行人檢測
- 7. 人臉檢測（一）
- 8. MTCNN人臉檢測
- 9. python 人臉檢測
- 10. 人臉檢測 JDA
- 更多相關文章...
- • 使用TCP協議檢測防火牆 - TCP/IP教程
- • ASP.NET MVC - 視圖 - ASP.NET 教程
- • C# 中 foreach 遍歷的用法
- • 再有人問你分佈式事務，把這篇扔給他
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. C# USB視頻人臉檢測
- 2. OpenCV人臉檢測 C++
- 3. labview 人臉識別 人臉特徵點檢測 人臉檢測
- 4. 人臉檢測
- 5. 人工智能-OpenCV+Python實現人臉識別（視頻人臉檢測）
- 6. OpenCV：人臉檢測和行人檢測
- 7. 人臉檢測（一）
- 8. MTCNN人臉檢測
- 9. python 人臉檢測
- 10. 人臉檢測 JDA