/// <summary> /// 提取人脸特征 /// </summary> /// <param name="pEngine">引擎Handle</param> /// <param name="imageInfo">图像数据</param> /// <param name="multiFaceInfo">人脸检测结果</param> /// <returns>保存人脸特征结构体指针</returns> public static IntPtr ExtractFeature(IntPtr pEngine, ImageInfo imageInfo, ASF_MultiFaceInfo multiFaceInfo, out ASF_SingleFaceInfo singleFaceInfo) { singleFaceInfo = new ASF_SingleFaceInfo(); singleFaceInfo.faceRect = MemoryUtil.PtrToStructure <MRECT>(multiFaceInfo.faceRects); singleFaceInfo.faceOrient = MemoryUtil.PtrToStructure <int>(multiFaceInfo.faceOrients); IntPtr pSingleFaceInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_SingleFaceInfo>()); // 申请内存,单人脸检测结构体 MemoryUtil.StructureToPtr(singleFaceInfo, pSingleFaceInfo); // 结构体进入内存 IntPtr pFaceFeature = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_FaceFeature>()); // 申请内存,人脸特征结构体 int retCode = ASFFunctions.ASFFaceFeatureExtract(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pSingleFaceInfo, pFaceFeature); // 单人脸特征提取 Console.WriteLine("FR Extract Feature result:" + retCode); // 直接打印结果 if (retCode != 0) // 返回结果非0,即匹配到人脸,释放指针 { // 释放指针 MemoryUtil.Free(pSingleFaceInfo); // 释放单人脸检测结构体指针 MemoryUtil.Free(pFaceFeature); // 释放人脸特征结构体指针 ASF_FaceFeature emptyFeature = new ASF_FaceFeature(); // 声明空人脸特征结构体 IntPtr pEmptyFeature = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_FaceFeature>()); // 声明空人脸特征结构体指针 MemoryUtil.StructureToPtr(emptyFeature, pEmptyFeature); // 将数据从托管对象封送到非托管内存块 return(pEmptyFeature); // 匹配成功,返回空的人脸特征结构体指针 } // 人脸特征feature过滤 ASF_FaceFeature faceFeature = MemoryUtil.PtrToStructure <ASF_FaceFeature>(pFaceFeature);// 将ptr托管的内存转化为结构体对象 int cc = faceFeature.featureSize; var ff = faceFeature.feature; byte[] feature = new byte[faceFeature.featureSize]; MemoryUtil.Copy(faceFeature.feature, feature, 0, faceFeature.featureSize);// source, destination, startIndex, length ASF_FaceFeature localFeature = new ASF_FaceFeature(); localFeature.feature = MemoryUtil.Malloc(feature.Length); // 申请本地人脸特征指针 MemoryUtil.Copy(feature, 0, localFeature.feature, feature.Length); // source, startIndex, destination, length localFeature.featureSize = feature.Length; // 设置本地特征值长度 IntPtr pLocalFeature = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_FaceFeature>()); // 申请本地特征值指针空间 MemoryUtil.StructureToPtr(localFeature, pLocalFeature); // T t,IntPtr ptr // 释放指针 MemoryUtil.Free(pSingleFaceInfo); MemoryUtil.Free(pFaceFeature); /******** 特征值feature存入数据库 start **********/ Users users = new Users(); users.Id = SidUtils.sid(); users.Feature = feature; MysqlUtils mysqlUtils = new MysqlUtils(); mysqlUtils.InsertUserFaceFeature(users); /******** 特征值feature存入数据库 end **********/ return(pLocalFeature);// 返回人脸特征 }
/// <summary> /// 获取图片信息 /// </summary> /// <param name="image">图片</param> /// <returns>成功或失败</returns> public static ImageInfo ReadBMP(Image image) { ImageInfo imageInfo = new ImageInfo(); //将Image转换为Format24bppRgb格式的BMP Bitmap bm = new Bitmap(image); BitmapData data = bm.LockBits(new Rectangle(0, 0, bm.Width, bm.Height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb); try { //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 IntPtr ptr = data.Scan0; //定义数组长度 int soureBitArrayLength = data.Height * Math.Abs(data.Stride); byte[] sourceBitArray = new byte[soureBitArrayLength]; //将bitmap中的内容拷贝到ptr_bgr数组中 MemoryUtil.Copy(ptr, sourceBitArray, 0, soureBitArrayLength); //填充引用对象字段值 imageInfo.width = data.Width; imageInfo.height = data.Height; imageInfo.format = ASF_ImagePixelFormat.ASVL_PAF_RGB24_B8G8R8; //获取去除对齐位后度图像数据 int line = imageInfo.width * 3; int pitch = Math.Abs(data.Stride); int bgr_len = line * imageInfo.height; byte[] destBitArray = new byte[bgr_len]; /* * 图片像素数据在内存中是按行存储,一般图像库都会有一个内存对齐,在每行像素的末尾位置 * 每行的对齐位会使每行多出一个像素空间(三通道如RGB会多出3个字节,四通道RGBA会多出4个字节) * 以下循环目的是去除每行末尾的对齐位,将有效的像素拷贝到新的数组 */ for (int i = 0; i < imageInfo.height; ++i) { Array.Copy(sourceBitArray, i * pitch, destBitArray, i * line, line); } imageInfo.imgData = MemoryUtil.Malloc(destBitArray.Length); MemoryUtil.Copy(destBitArray, 0, imageInfo.imgData, destBitArray.Length); return(imageInfo); } catch (Exception e) { Console.WriteLine(e.Message); } finally { bm.UnlockBits(data); } return(null); }
/// <summary> /// 提取单人脸特征 /// </summary> /// <param name="pEngine">人脸识别引擎</param> /// <param name="image">图片</param> /// <param name="singleFaceInfo">单人脸信息</param> /// <returns>单人脸特征</returns> public static IntPtr ExtractFeature(IntPtr pEngine, Image image, ASF_SingleFaceInfo singleFaceInfo) { ImageInfo imageInfo = ImageUtil.ReadBMP(image); // 读取图片 IntPtr pSingleFaceInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_SingleFaceInfo>()); // 申请单人脸结构体指针空间 MemoryUtil.StructureToPtr(singleFaceInfo, pSingleFaceInfo); // 指针化 IntPtr pFaceFeature = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_FaceFeature>()); // 申请人脸特征指针空间 int retCode = -1; try { retCode = ASFFunctions.ASFFaceFeatureExtract(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pSingleFaceInfo, pFaceFeature);// 单人脸特征提取 } catch (Exception e) { Console.WriteLine(e.Message); } Console.WriteLine("FR Extract Feature result:" + retCode); if (retCode != 0) { //释放指针 MemoryUtil.Free(pSingleFaceInfo); MemoryUtil.Free(pFaceFeature); ASF_FaceFeature emptyFeature = new ASF_FaceFeature(); IntPtr pEmptyFeature = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_FaceFeature>()); MemoryUtil.StructureToPtr(emptyFeature, pEmptyFeature); return(pEmptyFeature); } //人脸特征feature过滤 ASF_FaceFeature faceFeature = MemoryUtil.PtrToStructure <ASF_FaceFeature>(pFaceFeature); byte[] feature = new byte[faceFeature.featureSize]; MemoryUtil.Copy(faceFeature.feature, feature, 0, faceFeature.featureSize); ASF_FaceFeature localFeature = new ASF_FaceFeature(); localFeature.feature = MemoryUtil.Malloc(feature.Length); MemoryUtil.Copy(feature, 0, localFeature.feature, feature.Length); localFeature.featureSize = feature.Length; IntPtr pLocalFeature = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_FaceFeature>()); MemoryUtil.StructureToPtr(localFeature, pLocalFeature); //释放指针 MemoryUtil.Free(pSingleFaceInfo); MemoryUtil.Free(pFaceFeature); MemoryUtil.Free(imageInfo.imgData); return(pLocalFeature); }