1 using System; 2 using System.Collections.Generic; 3 using System.Drawing; 4 using System.Drawing.Drawing2D; 5 using System.Drawing.Imaging; 6 using System.Linq; 7 using System.Runtime.InteropServices; 8 using System.Text; 9 10 namespace ArcSoft_Face_Demo_X32 11 { 12 public class ArcSoft_FACE_API 13 { 14 public class FSDK_FACE_SHARE 15 { 16 public static string app_Id_X32 = "3yUbUj1c1YKeRuyW616PU8FB1cgei3sFpyqMRBDQVVo6"; 17 public static string sdk_Key_FD_X32 = "FCVQpXhiCm8GGbYxTVUpEc2yT6evA3stiYN68nDRJ7mG"; 18 public static string sdk_Key_FR_X32 = "FCVQpXhiCm8GGbYxTVUpEc36cVv5iBCyDsTTyHXYWtg8"; 19 20 //public static string app_Id_X64 = "3yUbUj1c1YKeRuyW616PU8F3rDRU6UzazKPvGkEdoYkR"; 21 //public static string sdk_Key_FD_X64 = "FshWfRcQPgrq9YGbmNRA6q7sp1wyGXVgfmwJacKZ1Vtn"; 22 //public static string sdk_Key_FR_X64 = "FshWfRcQPgrq9YGbmNRA6q7zyRD81y9qz9FvhJDdiwdv"; 23 24 public static IntPtr detectEngine = IntPtr.Zero; 25 public static IntPtr recogitionEngine = IntPtr.Zero; 26 27 28 public static int detectSize = 500 * 1024 * 1024; 29 public static int recogitionSize = 500 * 1024 * 1024; 30 31 public static int nScale = 16; 32 public static int nMaxFaceNum = 10; 33 34 35 //人脸矩形框信息 36 public struct MRECT 37 { 38 public int left; //左边 39 public int top; //上边 40 public int right; //右边 41 public int bottom; //下边 42 } 43 44 //定义图像格式空间 45 public struct ASVLOFFSCREEN 46 { 47 public int u32PixelArrayFormat; //像素阵列格式 48 public int i32Width; //宽度 49 public int i32Height; //高度 50 [MarshalAs(UnmanagedType.ByValArray, SizeConst = 4, ArraySubType = System.Runtime.InteropServices.UnmanagedType.SysUInt)] 51 public System.IntPtr[] ppu8Plane; //平面 52 [MarshalAs(UnmanagedType.ByValArray, SizeConst = 4, ArraySubType = System.Runtime.InteropServices.UnmanagedType.I4)] 53 public int[] pi32Pitch; //倾斜 54 } 55 56 57 public static byte[] ReadBmpToByte(Bitmap image, ref int width, ref int height, ref int pitch) 58 { 59 //将Bitmap锁定到系统内存中,获得BitmapData 60 BitmapData data = image.LockBits(new Rectangle(0, 0, image.Width, image.Height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb); 61 //位图中第一个像素数据的地址。它也可以看成是位图中的第一个扫描行 62 IntPtr ptr = data.Scan0; 63 //定义数组长度 64 int soureBitArrayLength = data.Height * Math.Abs(data.Stride); 65 byte[] sourceBitArray = new byte[soureBitArrayLength]; 66 //将bitmap中的内容拷贝到ptr_bgr数组中 67 Marshal.Copy(ptr, sourceBitArray, 0, soureBitArrayLength); width = data.Width; 68 height = data.Height; 69 pitch = Math.Abs(data.Stride); 70 71 int line = width * 3; 72 int bgr_len = line * height; 73 byte[] destBitArray = new byte[bgr_len]; 74 for (int i = 0; i < height; ++i) 75 { 76 Array.Copy(sourceBitArray, i * pitch, destBitArray, i * line, line); 77 } 78 pitch = line; 79 image.UnlockBits(data); 80 return destBitArray; 81 } 82 83 public static Bitmap CutFace(Bitmap srcImage, int StartX, int StartY, int iWidth, int iHeight) 84 { 85 if (srcImage == null) 86 { 87 return null; 88 } 89 int w = srcImage.Width; 90 int h = srcImage.Height; 91 if (StartX >= w || StartY >= h) 92 { 93 return null; 94 } 95 if (StartX + iWidth > w) 96 { 97 iWidth = w - StartX; 98 } 99 if (StartY + iHeight > h) 100 { 101 iHeight = h - StartY; 102 } 103 try 104 { 105 Bitmap bmpOut = new Bitmap(iWidth, iHeight, PixelFormat.Format24bppRgb); 106 Graphics g = Graphics.FromImage(bmpOut); 107 g.DrawImage(srcImage, new Rectangle(0, 0, iWidth, iHeight), new Rectangle(StartX, StartY, iWidth, iHeight), GraphicsUnit.Pixel); 108 g.Dispose(); 109 return bmpOut; 110 } 111 catch 112 { 113 return null; 114 } 115 } 116 117 public static Image DrawRectangleInPicture2(Image bmp, MRECT[] rectArr, Color RectColor, int LineWidth, DashStyle ds) 118 { 119 if (bmp == null) return null; 120 Graphics g = Graphics.FromImage(bmp); 121 Brush brush = new SolidBrush(RectColor); 122 Pen pen = new Pen(brush, LineWidth); 123 pen.DashStyle = ds; 124 for (int i = 0; i < rectArr.Length; i++) 125 { 126 Point p0 = new Point(rectArr[i].left, rectArr[i].top); 127 Point p1 = new Point(rectArr[i].right, rectArr[i].bottom); 128 g.DrawRectangle(pen, new Rectangle(p0.X, p0.Y, Math.Abs(p0.X - p1.X), Math.Abs(p0.Y - p1.Y))); 129 130 } 131 g.Dispose(); 132 return bmp; 133 } 134 135 /// <summary> 136 /// 将一个字节数组转换为24位真彩色图 137 /// </summary> 138 /// <param name="imageArray">字节数组</param> 139 /// <param name="width">图像的宽度</param> 140 /// <param name="height">图像的高度</param> 141 /// <returns>位图对象</returns> 142 public static Bitmap ToGrayBitmap(byte[] imageArray, int width, int height) 143 { 144 145 //将用户指定的imageArray二维数组转换为一维数组rawValues 146 byte[] rawValues = imageArray; 147 //申请目标位图的变量，并将其内存区域锁定 148 Bitmap bmp = new Bitmap(width, height, PixelFormat.Format24bppRgb); 149 BitmapData bmpData = bmp.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.WriteOnly, PixelFormat.Format24bppRgb); 150 151 //获得图像的参数 152 int stride = bmpData.Stride; //扫描线的宽度 153 154 // int offset = stride - width; 转换为8位灰度图时 155 int offset = stride - width * 3; //显示宽度与扫描线宽度的间隙， 156 //与8位灰度图不同width*3很重要，因为此时一个像素占3字节 157 158 IntPtr iptr = bmpData.Scan0; //获得 bmpData的内存起始位置 159 int scanBytes = stride * height; //用Stride宽度,表示内存区域的大小 160 161 //下面把原始的显示大小字节数组转换为内存中的实际存放的字节数组 162 int posScan = 0, posReal = 0; //分别设置两个位置指针指向源数组和目标数组 163 byte[] pixelValues = new byte[scanBytes]; //为目标数组分配内存 164 165 for (int x = 0; x < height; x++) 166 { 167 for (int y = 0; y < width; y++) 168 { 169 //转换为8位灰度图时 170 //pixelValues[posScan++]=rawValues[posReal++]; 171 //} 172 //posScan+=offset; 173 //此处也与8位灰度图不同，分别对R,G,B分量赋值,R=G=B 174 //posScan也由posScan++变为posScan+= 3; 175 176 pixelValues[posScan] = pixelValues[posScan + 1] = pixelValues[posScan + 2] = rawValues[posReal++]; 177 posScan += 3; 178 } 179 posScan += offset; //行扫描结束，要将目标位置指针移过那段间隙 180 } 181 182 //// 用Marshal的Copy方法，将刚才得到的内存字节数组复制到BitmapData中 183 System.Runtime.InteropServices.Marshal.Copy(pixelValues, 0, iptr, scanBytes); 184 bmp.UnlockBits(bmpData); //解锁内存区域 185 186 ////// --------------------------------------------------------------------------- 187 188 ////下面的代码是8位灰度索引图时才需要的，是为了修改生成位图的索引表，从伪彩修改为灰度 189 //ColorPalette tempPalette; 190 //using (Bitmap tempBmp = new Bitmap(1, 1, PixelFormat.Format8bppIndexed)) 191 //{ 192 // tempPalette = tempBmp.Palette; 193 //} 194 //for (int i = 0; i < 256; i++) 195 //{ 196 // tempPalette.Entries[i] = Color.FromArgb(i, i, i); 197 //} 198 199 //bmp.Palette = tempPalette; 200 //----------------------------------------------------------------------------- 201 //// 算法到此结束，返回结果 202 return bmp; 203 } 204 205 206 public static Bitmap ToGrayBitmap2(byte[] imageArray, int width, int height) 207 { 208 209 //将用户指定的imageArray二维数组转换为一维数组rawValues 210 byte[] rawValues = imageArray; 211 //申请目标位图的变量，并将其内存区域锁定 212 Bitmap bmp = new Bitmap(width, height, PixelFormat.Format24bppRgb); 213 BitmapData bmpData = bmp.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.WriteOnly, PixelFormat.Format24bppRgb); 214 215 //获得图像的参数 216 int stride = bmpData.Stride; //扫描线的宽度 217 218 // int offset = stride - width; 转换为8位灰度图时 219 int offset = stride - width * 3; //显示宽度与扫描线宽度的间隙， 220 //与8位灰度图不同width*3很重要，因为此时一个像素占3字节 221 222 IntPtr iptr = bmpData.Scan0; //获得 bmpData的内存起始位置 223 int scanBytes = stride * height; //用Stride宽度,表示内存区域的大小 224 225 //下面把原始的显示大小字节数组转换为内存中的实际存放的字节数组 226 int posScan = 0, posReal = 0; //分别设置两个位置指针指向源数组和目标数组 227 byte[] pixelValues = new byte[scanBytes]; //为目标数组分配内存 228 229 for (int x = 0; x < height; x++) 230 { 231 for (int y = 0; y < width; y++) 232 { 233 //pixelValues[posScan] = pixelValues[posScan + 1] = pixelValues[posScan + 2] = rawValues[posReal++]; 234 235 pixelValues[posScan] = rawValues[posReal++]; 236 pixelValues[posScan + 1] = rawValues[posReal++]; 237 pixelValues[posScan + 2] = rawValues[posReal++]; 238 posScan += 3; 239 } 240 posScan += offset; //行扫描结束，要将目标位置指针移过那段间隙 241 } 242 243 //// 用Marshal的Copy方法，将刚才得到的内存字节数组复制到BitmapData中 244 System.Runtime.InteropServices.Marshal.Copy(pixelValues, 0, iptr, scanBytes); 245 bmp.UnlockBits(bmpData); //解锁内存区域 246 247 return bmp; 248 } 249 250 //图片转为base64编码的文本 251 private string ImgToBase64String(string Imagefilename) 252 { 253 String strbaser64 = ""; 254 try 255 { 256 Bitmap bmp = new Bitmap(Imagefilename); 257 pictureBox1.Image = bmp; 258 //FileStream fs = new FileStream(Imagefilename + ".txt", FileMode.Create); 259 //StreamWriter sw = new StreamWriter(fs); 260 261 MemoryStream ms = new MemoryStream(); 262 bmp.Save(ms, System.Drawing.Imaging.ImageFormat.Jpeg); 263 byte[] arr = new byte[ms.Length]; 264 ms.Position = 0; 265 ms.Read(arr, 0, (int)ms.Length); 266 ms.Close(); 267 strbaser64 = Convert.ToBase64String(arr); 268 //sw.Write(strbaser64); 269 270 //sw.Close(); 271 //fs.Close(); 272 // MessageBox.Show("转换成功!"); 273 } 274 catch (Exception ex) 275 { 276 MessageBox.Show("ImgToBase64String 转换失败\nException:" + ex.Message); 277 } 278 return strbaser64; 279 } 280 281 282 //base64编码的文本转为图片 283 private void Base64StringToImage(string txtFileName, PictureBox picbox) 284 { 285 try 286 { 287 FileStream ifs = new FileStream(txtFileName, FileMode.Open, FileAccess.Read); 288 StreamReader sr = new StreamReader(ifs); 289 290 String inputStr = sr.ReadToEnd(); 291 byte[] arr = Convert.FromBase64String(inputStr); 292 MemoryStream ms = new MemoryStream(arr); 293 Bitmap bmp = new Bitmap(ms); 294 295 //bmp.Save(txtFileName + ".jpg", System.Drawing.Imaging.ImageFormat.Jpeg); 296 //bmp.Save(txtFileName + ".bmp", ImageFormat.Bmp); 297 //bmp.Save(txtFileName + ".gif", ImageFormat.Gif); 298 //bmp.Save(txtFileName + ".png", ImageFormat.Png); 299 ms.Close(); 300 sr.Close(); 301 ifs.Close(); 302 picbox.Image = bmp; 303 if (File.Exists(txtFileName)) 304 { 305 File.Delete(txtFileName); 306 } 307 //MessageBox.Show("转换成功！"); 308 } 309 catch (Exception ex) 310 { 311 MessageBox.Show("Base64StringToImage 转换失败\nException：" + ex.Message); 312 } 313 } 314 } 315 316 public class FSDK_FACE_DETECTION 317 { 318 //定义SDK版本信息--FD 319 public struct AFD_FSDK_Version 320 { 321 public int lCodebase; //代码库版本号 322 public int lMajor; //主版本号 323 public int lMinor; //次版本号 324 public int lBuild; //编译版本号，递增 325 public IntPtr Version; //字符串形式的版本号 326 public IntPtr BuildDate; //编译时间 327 public IntPtr CopyRight; //copyright 328 } 329 330 //定义人脸检查结果中人脸的角度 331 public enum AFD_FSDK_OrientCode 332 { 333 AFD_FSDK_FOC_0 = 1, 334 AFD_FSDK_FOC_90 = 2, 335 AFD_FSDK_FOC_270 = 3, 336 AFD_FSDK_FOC_180 = 4, 337 AFD_FSDK_FOC_30 = 5, 338 AFD_FSDK_FOC_60 = 6, 339 AFD_FSDK_FOC_120 = 7, 340 AFD_FSDK_FOC_150 = 8, 341 AFD_FSDK_FOC_210 = 9, 342 AFD_FSDK_FOC_240 = 10, 343 AFD_FSDK_FOC_300 = 11, 344 AFD_FSDK_FOC_330 = 12 345 } 346 347 //定义脸部检查角度的优先级 348 public enum AFD_FSDK_OrientPriority 349 { 350 AFD_FSDK_OPF_0_ONLY = 1, //检测 0 度方向 351 AFD_FSDK_OPF_90_ONLY = 2, //检测 90 度方向 352 AFD_FSDK_OPF_270_ONLY = 3, //检测 270 度方向 353 AFD_FSDK_OPF_180_ONLY = 4, //检测 180 度方向 354 AFD_FSDK_OPF_0_HIGHER_EXT = 5 //检测 0， 90， 180， 270 四个方向,0 度更优先 355 } 356 357 //检测到的脸部信息 358 public struct AFD_FSDK_FACERES 359 { 360 public int nFace; //人脸个数 361 public IntPtr rcFace; //人脸矩形框信息 — MRECT 362 public IntPtr lfaceOrient; //人脸角度信息 — AFD_FSDK_OrientCode 363 } 364 365 /******************************************——ArcSoft Face Detection——******************************/ 366 /* 367 *初始化脸部检测引擎 368 *函数原形 369 MRESULT AFD_FSDK_InitialFaceEngine( 370 MPChar AppId, 371 MPChar SDKKey, 372 MByte *pMem, 373 MInt32 lMemSize, 374 MHandle *pEngine, 375 AFD_FSDK_OrientPriority iOrientPriority, 376 MInt32 nScale, 377 MInt32 nMaxFaceNum 378 ); 379 AppId [in] 用户申请 SDK 时获取的 App Id 380 SDKKey [in] 用户申请 SDK 时获取的 SDK Key 381 pMem [in] 分配给引擎使用的内存地址 382 lMemSize [in] 分配给引擎使用的内存大小 383 pEngine [out] 引擎 handle 384 iOrientPriority [in] 期望的脸部检测角度的优先级 385 nScale [in] 用于数值表示的最小人脸尺寸 有效值范围[2,50] 推荐值 16 386 nMaxFaceNum [in] 用户期望引擎最多能检测出的人脸数 有效值范围[1,100] 387 */ 388 [DllImport("libarcsoft_fsdk_face_detection.dll", EntryPoint = "AFD_FSDK_InitialFaceEngine", CallingConvention = CallingConvention.Cdecl)] 389 public static extern int AFD_FSDK_InitialFaceEngine(string appId, string sdkKey, IntPtr pMem, int lMemSize, ref IntPtr pEngine, int iOrientPriority, int nScale, int nMaxFaceNum); 390 391 392 /* 393 *根据输入的图像检测出人脸位置，一般用于静态图像检测 394 *函数原形 395 MRESULT AFD_FSDK_StillImageFaceDetection( 396 MHandle hEngine, 397 LPASVLOFFSCREEN pImgData, 398 LPAFD_FSDK_FACERES pFaceRes 399 ); 400 hEngine [in] 引擎 handle 401 pImgData [in] 带检测图像信息 402 pFaceRes [out] 人脸检测结果 403 */ 404 [DllImport("libarcsoft_fsdk_face_detection.dll", CallingConvention = CallingConvention.Cdecl)] 405 public static extern int AFD_FSDK_StillImageFaceDetection(IntPtr pEngine, IntPtr pImgData, ref IntPtr pFaceRes); 406 407 408 /* 409 *获取 SDK 版本信息 410 *函数原形 411 const AFD_FSDK_Version * AFD_FSDK_GetVersion( 412 MHandle hEngine 413 ); 414 hEngine [in] 引擎 handle 415 416 */ 417 [DllImport("libarcsoft_fsdk_face_detection.dll", CallingConvention = CallingConvention.Cdecl)] 418 public static extern IntPtr AFD_FSDK_GetVersion(IntPtr pEngine); 419 420 421 /* 422 *销毁引擎，释放相应资源 423 *函数原形 424 MRESULT AFD_FSDK_UninitialFaceEngine( 425 MHandle hEngine 426 ); 427 hEngine [in] 引擎 handle 428 */ 429 [DllImport("libarcsoft_fsdk_face_detection.dll", CallingConvention = CallingConvention.Cdecl)] 430 public static extern int AFD_FSDK_UninitialFaceEngine(IntPtr pEngine); 431 /*********************************************************************************************************/ 432 433 } 434 435 436 public class FSDK_FACE_RECOGNITION 437 { 438 public struct AFR_FSDK_VERSION 439 { 440 public int lCodebase; //代码库版本号 441 public int lMajor; //主版本号 442 public int lMinor; //次版本号 443 public int lBuild; //编译版本号，递增 444 public int lFeatureLevel; //特征库版本号 445 public IntPtr Version; //字符串形式的版本号 446 public IntPtr BuildDate; //编译时间 447 public IntPtr CopyRight; //copyright 448 } 449 450 //脸部信息 451 public struct AFR_FSDK_FACEINPUT 452 { 453 public FSDK_FACE_SHARE.MRECT rcFace; //脸部矩形框信息 — MRECT 454 public int lfaceOrient; //脸部旋转角度 — AFD_FSDK_OrientCode 455 } 456 457 458 //脸部特征信息 459 public struct AFR_FSDK_FACEMODEL 460 { 461 public IntPtr pbFeature; //提取到的脸部特征 462 public int lFeatureSize; //特征信息长度 463 } 464 465 public Int32 AFD_FSDK_OrientPriority; 466 public Int32 AFD_FSDK_OrientCode; 467 468 /*************************************——ArcSoft Face Recognition——***********************************/ 469 /* 470 *初始化引擎 471 *函数原形 472 MRESULT AFR_FSDK_InitialEngine( 473 MPChar AppId, 474 MPChar SDKKey, 475 Mbyte *pMem, 476 MInt32 lMemSize, 477 MHandle *phEngine 478 ); 479 Appid [in] 用户申请 SDK 时获取的 id 480 SDKKey [in] 用户申请 SDK 时获取的 id 481 pMem [in] 分配给引擎使用的内存地址 482 lMemSize [in] 分配给引擎使用的内存大小 483 phEngine [out] 引擎 handle 484 */ 485 [DllImport("libarcsoft_fsdk_face_recognition.dll", EntryPoint = "AFR_FSDK_InitialEngine", CallingConvention = CallingConvention.Cdecl)] 486 public static extern int AFR_FSDK_InitialEngine(string appId, string sdkKey, IntPtr pMem, int lMemSize, ref IntPtr pEngine); 487 488 /* 489 *获取脸部特征 490 *函数原形 491 MRESULT AFR_FSDK_ExtractFRFeature ( 492 MHandle hEngine, 493 LPASVLOFFSCREEN pInputImage, 494 LPAFR_FSDK_FACEINPUT pFaceRes, 495 LPAFR_FSDK_FACEMODEL pFaceModels 496 ); 497 hEngine [in] 引擎 handle 498 pInputImage [in] 输入的图像数据 499 pFaceRes [in] 已检测到到的脸部信息 500 pFaceModels [out] 提取的脸部特征信息 501 */ 502 [DllImport("libarcsoft_fsdk_face_recognition.dll", CallingConvention = CallingConvention.Cdecl)] 503 public static extern int AFR_FSDK_ExtractFRFeature(IntPtr pEngine, IntPtr pImgData, IntPtr pFaceRes, IntPtr pFaceModels); 504 505 506 /* 507 *脸部特征比较 508 *函数原形 509 MRESULT AFR_FSDK_FacePairMatching( 510 MHandle hEngine, 511 AFR_FSDK_FACEMODEL *reffeature, 512 AFR_FSDK_FACEMODEL *probefeature, 513 MFloat *pfSimilScore 514 ); 515 hEngine [in] 引擎 handle 516 reffeature [in] 已有脸部特征信息 517 probefeature [in] 被比较的脸部特征信 518 pfSimilScore [out] 相似程度数值 519 */ 520 [DllImport("libarcsoft_fsdk_face_recognition.dll", CallingConvention = CallingConvention.Cdecl)] 521 public static extern int AFR_FSDK_FacePairMatching(IntPtr pEngine, IntPtr reffeature, IntPtr probefeature, ref float pfSimilScore); 522 523 /* 524 *结束引擎 525 *函数原形 526 MRESULT AFR_FSDK_UninitialEngine( 527 MHandle hEngine 528 ); 529 hEngine [in] 引擎 handle 530 */ 531 [DllImport("libarcsoft_fsdk_face_recognition.dll", CallingConvention = CallingConvention.Cdecl)] 532 public static extern int AFR_FSDK_UninitialEngine(IntPtr pEngine); 533 534 /* 535 *获取 SDK 版本信息 536 *函数原形 537 const AFR_FSDK_VERSION * AFR_FSDK_GetVersion( 538 MHandle hEngine 539 ); 540 hEngine [in] 引擎 handle 541 */ 542 [DllImport("libarcsoft_fsdk_face_recognition.dll", CallingConvention = CallingConvention.Cdecl)] 543 public static extern IntPtr AFR_FSDK_GetVersion(IntPtr pEngine); 544 /*****************************************************************************************************/ 545 } 546 547 } 548 }
虹软人脸检测和识别C# - API
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