Exemplo n.º 1
0
        /// <summary>
        /// 年龄检测
        /// </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>年龄检测结构体</returns>
        public static ASF_AgeInfo AgeEstimation(IntPtr pEngine, ImageInfo imageInfo, ASF_MultiFaceInfo multiFaceInfo)
        {
            IntPtr pMultiFaceInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_MultiFaceInfo>());

            MemoryUtil.StructureToPtr(multiFaceInfo, pMultiFaceInfo);

            if (multiFaceInfo.faceNum == 0)
            {
                return(new ASF_AgeInfo());
            }

            //人脸信息处理
            int retCode = ASFFunctions.ASFProcess(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pMultiFaceInfo, FaceEngineMask.ASF_AGE);

            //获取年龄信息
            IntPtr pAgeInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_AgeInfo>());

            retCode = ASFFunctions.ASFGetAge(pEngine, pAgeInfo);
            Console.WriteLine("Get Age Result:" + retCode);
            ASF_AgeInfo ageInfo = MemoryUtil.PtrToStructure <ASF_AgeInfo>(pAgeInfo);

            //释放内存
            MemoryUtil.Free(pMultiFaceInfo);
            MemoryUtil.Free(pAgeInfo);

            return(ageInfo);
        }
Exemplo n.º 2
0
        /// <summary>
        /// 获取多个人脸检测结果中面积最大的人脸
        /// </summary>
        /// <param name="multiFaceInfo">人脸检测结果</param>
        /// <returns>面积最大的人脸信息</returns>
        public static ASF_SingleFaceInfo GetMaxFace(ASF_MultiFaceInfo multiFaceInfo)
        {
            ASF_SingleFaceInfo singleFaceInfo = new ASF_SingleFaceInfo();

            singleFaceInfo.faceRect   = new MRECT();
            singleFaceInfo.faceOrient = 1;

            int maxArea = 0;
            int index   = -1;

            for (int i = 0; i < multiFaceInfo.faceNum; i++)
            {
                MRECT rect = MemoryUtil.PtrToStructure <MRECT>(multiFaceInfo.faceRects + MemoryUtil.SizeOf <MRECT>() * i);
                int   area = (rect.right - rect.left) * (rect.bottom - rect.top);
                if (maxArea <= area)
                {
                    maxArea = area;
                    index   = i;
                }
            }
            if (index != -1)
            {
                singleFaceInfo.faceRect   = MemoryUtil.PtrToStructure <MRECT>(multiFaceInfo.faceRects + MemoryUtil.SizeOf <MRECT>() * index);
                singleFaceInfo.faceOrient = MemoryUtil.PtrToStructure <int>(multiFaceInfo.faceOrients + MemoryUtil.SizeOf <int>() * index);
            }
            return(singleFaceInfo);
        }
Exemplo n.º 3
0
        /// <summary>
        /// 人脸3D角度检测
        /// </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3D角度检测结果结构体</returns>
        public static ASF_Face3DAngle Face3DAngleDetection(IntPtr pEngine, ImageInfo imageInfo, ASF_MultiFaceInfo multiFaceInfo, out int retCode)
        {
            IntPtr pMultiFaceInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_MultiFaceInfo>());

            MemoryUtil.StructureToPtr(multiFaceInfo, pMultiFaceInfo);

            if (multiFaceInfo.faceNum == 0)
            {
                retCode = -1;
                return(new ASF_Face3DAngle());
            }

            //人脸信息处理
            retCode = ASFFunctions.ASFProcess(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pMultiFaceInfo, FaceEngineMask.ASF_FACE3DANGLE);
            if (retCode == 0)
            {
                //获取人脸3D角度
                IntPtr pFace3DAngleInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_Face3DAngle>());
                retCode = ASFFunctions.ASFGetFace3DAngle(pEngine, pFace3DAngleInfo);
                Console.WriteLine("Get Face3D Angle Result:" + retCode);
                ASF_Face3DAngle face3DAngle = MemoryUtil.PtrToStructure <ASF_Face3DAngle>(pFace3DAngleInfo);

                //释放内存
                MemoryUtil.Free(pMultiFaceInfo);
                MemoryUtil.Free(pFace3DAngleInfo);

                return(face3DAngle);
            }
            else
            {
                return(new ASF_Face3DAngle());
            }
        }
Exemplo n.º 4
0
        /// <summary>
        /// 性别检测
        /// </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>保存性别检测结果结构体</returns>
        public static ASF_GenderInfo GenderEstimation(IntPtr pEngine, ImageInfo imageInfo, ASF_MultiFaceInfo multiFaceInfo, out int retCode)
        {
            retCode = -1;
            IntPtr pMultiFaceInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_MultiFaceInfo>());

            MemoryUtil.StructureToPtr(multiFaceInfo, pMultiFaceInfo);

            if (multiFaceInfo.faceNum == 0)
            {
                return(new ASF_GenderInfo());
            }

            //人脸信息处理
            retCode = ASFFunctions.ASFProcess(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pMultiFaceInfo, FaceEngineMask.ASF_GENDER);
            if (retCode == 0)
            {
                //获取性别信息
                IntPtr pGenderInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_GenderInfo>());
                retCode = ASFFunctions.ASFGetGender(pEngine, pGenderInfo);
                Console.WriteLine("Get Gender Result:" + retCode);
                ASF_GenderInfo genderInfo = MemoryUtil.PtrToStructure <ASF_GenderInfo>(pGenderInfo);

                //释放内存
                MemoryUtil.Free(pMultiFaceInfo);
                MemoryUtil.Free(pGenderInfo);
                return(genderInfo);
            }
            else
            {
                return(new ASF_GenderInfo());
            }
        }
Exemplo n.º 5
0
        /// <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);
        }
Exemplo n.º 6
0
        /// <summary>
        /// 人脸检测(PS:检测RGB图像的人脸时,必须保证图像的宽度能被4整除,否则会失败)
        /// </summary>
        /// <param name="pEngine">引擎Handle</param>
        /// <param name="imageInfo">图像数据</param>
        /// <returns>人脸检测结果</returns>
        public static ASF_MultiFaceInfo DetectFace(IntPtr pEngine, ImageInfo imageInfo)
        {
            ASF_MultiFaceInfo multiFaceInfo  = new ASF_MultiFaceInfo();
            IntPtr            pMultiFaceInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_MultiFaceInfo>());
            int retCode = ASFFunctions.ASFDetectFaces(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pMultiFaceInfo);

            multiFaceInfo = MemoryUtil.PtrToStructure <ASF_MultiFaceInfo>(pMultiFaceInfo);
            return(multiFaceInfo);
        }
Exemplo n.º 7
0
        /// <summary>
        /// 提取人脸特征
        /// </summary>
        /// <param name="pEngine">引擎Handle</param>
        /// <param name="image">图像</param>
        /// <returns>保存人脸特征结构体指针</returns>
        public static IntPtr ExtractFeature(IntPtr pEngine, Image image, out ASF_SingleFaceInfo singleFaceInfo)
        {
            image = ImageUtil.ScaleImage(image, image.Width, image.Height);
            ImageInfo         imageInfo     = ImageUtil.ReadBMP(image);
            ASF_MultiFaceInfo multiFaceInfo = DetectFace(pEngine, imageInfo);

            singleFaceInfo = new ASF_SingleFaceInfo();
            IntPtr pFaceModel = ExtractFeature(pEngine, imageInfo, multiFaceInfo, out singleFaceInfo);

            MemoryUtil.Free(imageInfo.imgData);
            return(pFaceModel);
        }
Exemplo n.º 8
0
        /// <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);
            IntPtr    pSingleFaceInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_SingleFaceInfo>());

            MemoryUtil.StructureToPtr(singleFaceInfo, pSingleFaceInfo);

            IntPtr pFaceFeature = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_FaceFeature>());
            int    retCode      = -1;

            try
            {
                retCode = ASFFunctions.ASFFaceFeatureExtract(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pSingleFaceInfo, pFaceFeature);
            }
            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);
        }
Exemplo n.º 9
0
        /// <summary>
        /// 单人脸性别检测
        /// </summary>
        /// <param name="pEngine">引擎Handle</param>
        /// <param name="image">图片</param>
        /// <param name="singleFaceInfo">单人脸信息</param>
        /// <returns>性别估计结果</returns>
        public static ASF_GenderInfo GenderEstimation(IntPtr pEngine, Image image, ASF_SingleFaceInfo singleFaceInfo)
        {
            ImageInfo         imageInfo     = ImageUtil.ReadBMP(image);
            ASF_MultiFaceInfo multiFaceInfo = new ASF_MultiFaceInfo();

            multiFaceInfo.faceRects = MemoryUtil.Malloc(MemoryUtil.SizeOf <MRECT>());
            MemoryUtil.StructureToPtr <MRECT>(singleFaceInfo.faceRect, multiFaceInfo.faceRects);
            multiFaceInfo.faceOrients = MemoryUtil.Malloc(MemoryUtil.SizeOf <int>());
            MemoryUtil.StructureToPtr <int>(singleFaceInfo.faceOrient, multiFaceInfo.faceOrients);
            multiFaceInfo.faceNum = 1;
            ASF_GenderInfo genderInfo = GenderEstimation(pEngine, imageInfo, multiFaceInfo);

            MemoryUtil.Free(imageInfo.imgData);
            return(genderInfo);
        }
Exemplo n.º 10
0
        /// <summary>
        /// 红外活体检测
        /// </summary>
        /// <param name="pEngine">引擎Handle</param>
        /// <param name="imageInfo">图像数据</param>
        /// <param name="multiFaceInfo">活体检测结果</param>
        /// <returns>保存活体检测结果结构体</returns>
        public static ASF_LivenessInfo LivenessInfo_IR(IntPtr pEngine, ImageInfo imageInfo, ASF_MultiFaceInfo multiFaceInfo, out int retCode)
        {
            IntPtr pMultiFaceInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_MultiFaceInfo>());

            MemoryUtil.StructureToPtr(multiFaceInfo, pMultiFaceInfo);

            if (multiFaceInfo.faceNum == 0)
            {
                retCode = -1;
                //释放内存
                MemoryUtil.Free(pMultiFaceInfo);
                return(new ASF_LivenessInfo());
            }

            try
            {
                //人脸信息处理
                retCode = ASFFunctions.ASFProcess_IR(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pMultiFaceInfo, FaceEngineMask.ASF_IR_LIVENESS);
                if (retCode == 0)
                {
                    //获取活体检测结果
                    IntPtr pLivenessInfo = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_LivenessInfo>());
                    retCode = ASFFunctions.ASFGetLivenessScore_IR(pEngine, pLivenessInfo);
                    Console.WriteLine("Get Liveness Result:" + retCode);
                    ASF_LivenessInfo livenessInfo = MemoryUtil.PtrToStructure <ASF_LivenessInfo>(pLivenessInfo);

                    //释放内存
                    MemoryUtil.Free(pMultiFaceInfo);
                    MemoryUtil.Free(pLivenessInfo);
                    return(livenessInfo);
                }
                else
                {
                    //释放内存
                    MemoryUtil.Free(pMultiFaceInfo);
                    return(new ASF_LivenessInfo());
                }
            }
            catch
            {
                retCode = -1;
                //释放内存
                MemoryUtil.Free(pMultiFaceInfo);
                return(new ASF_LivenessInfo());
            }
        }
Exemplo n.º 11
0
        /// <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>());

            MemoryUtil.StructureToPtr(singleFaceInfo, pSingleFaceInfo);

            IntPtr pFaceFeature = MemoryUtil.Malloc(MemoryUtil.SizeOf <ASF_FaceFeature>());
            int    retCode      = ASFFunctions.ASFFaceFeatureExtract(pEngine, imageInfo.width, imageInfo.height, imageInfo.format, imageInfo.imgData, pSingleFaceInfo, pFaceFeature);

            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);
            return(pLocalFeature);
        }
Exemplo n.º 12
0
 public static ASF_MultiFaceInfo DetectFace(IntPtr pEngine, Image image)
 {
     lock (locks)
     {
         ASF_MultiFaceInfo multiFaceInfo = new ASF_MultiFaceInfo();
         if (image != null)
         {
             image = ImageUtil.ScaleImage(image, image.Width, image.Height);
             ImageInfo imageInfo = ImageUtil.ReadBMP(image);
             multiFaceInfo = DetectFace(pEngine, imageInfo);
             MemoryUtil.Free(imageInfo.imgData);
             return(multiFaceInfo);
         }
         else
         {
             return(multiFaceInfo);
         }
     }
 }