示例#1
0
        private void Init()
        {
            _traking   = LocatorFactory.GetTrackingLocator(AppId, FtKey) as FaceTracking;
            _detection = LocatorFactory.GetDetectionLocator(AppId, FdKey) as FaceDetection;
            _recognize = new FaceRecognize(AppId, FrKey);
            _processor = new FaceProcessor(_traking, _recognize);

            //init cache
            if (Directory.Exists(FaceLibraryPath))
            {
                var files = Directory.GetFiles(FaceLibraryPath);
                foreach (var file in files)
                {
                    var info = new FileInfo(file);
                    _cache.Add(info.Name.Replace(info.Extension, ""), File.ReadAllBytes(file));
                }
            }

            CvInvoke.UseOpenCL = false;

            _capture = GetWebCamera();
            _capture.Start();

            //Application.Idle += VideoCaptured; //可以采用此方式捕获视频,则无需单独开线程
            //_capture.ImageGrabbed += VideoCaptured; //不要采用此方式
            _run = new Task(VideoCaptured);
            _run.Start();
        }
 /// <summary>
 ///     采用默认参数的跟踪定位和识别进行初始化
 /// </summary>
 /// <param name="appId">应用Id</param>
 /// <param name="locatorKey">定位Key</param>
 /// <param name="recognizeKey">识别Key</param>
 /// <param name="useTracking">是否使用跟踪</param>
 public FaceProcessor(string appId, string locatorKey, string recognizeKey, bool useTracking = false)
 {
     _locator = useTracking
         ? LocatorFactory.GetTrackingLocator(appId, locatorKey)
         : LocatorFactory.GetDetectionLocator(appId, locatorKey);
     _recognize = new FaceRecognize(appId, recognizeKey);
 }
示例#3
0
        private void Init()
        {
            _age       = new FaceAge(AppId, AgeKey);
            _gender    = new FaceGender(AppId, GenderKey);
            _traking   = LocatorFactory.GetTrackingLocator(AppId, FtKey, _age, _gender) as FaceTracking;
            _detection = LocatorFactory.GetDetectionLocator(AppId, FdKey) as FaceDetection;
            _recognize = new FaceRecognize(AppId, FrKey);
            _processor = new FaceProcessor(_traking, _recognize);

            //init cache
            if (Directory.Exists(FaceLibraryPath))
            {
                var files = Directory.GetFiles(FaceLibraryPath);
                foreach (var file in files)
                {
                    var info = new FileInfo(file);
                    _cache.Add(info.Name.Replace(info.Extension, ""), File.ReadAllBytes(file));
                }
            }

            stride     = width * pixelSize;
            bufferSize = stride * height;

            _pImage = Marshal.AllocHGlobal(bufferSize);
            _image  = new Bitmap(width, height, stride, PixelFormat.Format24bppRgb, _pImage);

            var ffmpeg = new FFMpegConverter();

            outputStream = new MemoryStream();

            var setting =
                new ConvertSettings
            {
                CustomOutputArgs = "-s 1920x1080", //根据业务需求-r参数可以调整,取决于摄像机的FPS
            };                                     //-s 1920x1080 -q:v 2 -b:v 64k

            //-an -r 15 -pix_fmt bgr24 -updatefirst 1
            //task = ffmpeg.ConvertLiveMedia("rtsp://*****:*****@192.168.1.64:554/h264/ch1/main/av_stream", null,
            //    outputStream, Format.raw_video, setting);

            /*
             * USB摄像头捕获
             * 通过ffmpeg可以捕获USB摄像,如下代码所示。
             * 首先通过:ffmpeg -list_devices true -f dshow -i dummy命令,可以列出系统中存在的USB摄像设备(或通过控制面板的设备管理工具查看设备名称),例如在我电脑中叫USB2.0 PC CAMERA。
             * 然后根据捕获的分辨率,修改视频图形信息,包括width和height,一般像素大小不用修改,如果要参考设备支持的分辨率,可以使用:
             * ffmpeg -list_options true -f dshow -i video="USB2.0 PC CAMERA"命令
             */
            task = ffmpeg.ConvertLiveMedia("video=Logitech HD Webcam C270", "dshow",
                                           outputStream, Format.raw_video, setting);

            task.OutputDataReceived += DataReceived;
            task.Start();

            _renderTask = new Task(Render);
            _renderTask.Start();
        }
示例#4
0
        public FaceDetectionService()
        {
            _age    = new FaceAge(AppConfigurations.AppId, AppConfigurations.AgeKey);        // 年龄识别
            _gender = new FaceGender(AppConfigurations.AppId, AppConfigurations.GenderKey);  // 性别识别
            //// 图片检测人脸
            _detection = LocatorFactory.GetDetectionLocator(AppConfigurations.AppId, AppConfigurations.FdKey, _age, _gender) as FaceDetection;
            _traking   = LocatorFactory.GetTrackingLocator(AppConfigurations.AppId, AppConfigurations.FtKey, _age, _gender) as FaceTracking;

            _recognize = new FaceRecognize(AppConfigurations.AppId, AppConfigurations.FrKey);

            _processor            = new FaceProcessor(_detection, _recognize);
            _personFaceRepository = new PersonFaceRepository();
        }
示例#5
0
        private void Init()
        {
            _traking   = LocatorFactory.GetTrackingLocator(AppId, FtKey) as FaceTracking;
            _detection = LocatorFactory.GetDetectionLocator(AppId, FdKey) as FaceDetection;
            _recognize = new FaceRecognize(AppId, FrKey);
            _processor = new FaceProcessor(_traking, _recognize);

            //init cache
            if (Directory.Exists(FaceLibraryPath))
            {
                var files = Directory.GetFiles(FaceLibraryPath);
                foreach (var file in files)
                {
                    var info = new FileInfo(file);
                    _cache.Add(info.Name.Replace(info.Extension, ""), File.ReadAllBytes(file));
                }
            }

            _pImage = Marshal.AllocHGlobal(1920 * 1080 * 3);
            _image  = new Bitmap(1920, 1080, 1920 * 3, PixelFormat.Format24bppRgb, _pImage);

            var ffmpeg = new FFMpegConverter();

            outputStream = new MemoryStream();

            var setting =
                new ConvertSettings
            {
                CustomOutputArgs = "-an -r 15 -pix_fmt bgr24 -updatefirst 1" //根据业务需求-r参数可以调整,取决于摄像机的FPS
            };                                                               //-s 1920x1080 -q:v 2 -b:v 64k

            task = ffmpeg.ConvertLiveMedia("rtsp://*****:*****@192.168.1.64:554/h264/ch1/main/av_stream", null,
                                           outputStream, Format.raw_video, setting);

            task.OutputDataReceived += DataReceived;
            task.Start();

            _renderTask = new Task(Render);
            _renderTask.Start();
        }
示例#6
0
        private static void TestTracking()
        {
            using (var detection = LocatorFactory.GetTrackingLocator("appId", "sdkKey"))
            {
                var image  = Image.FromFile("test.jpg");
                var bitmap = new Bitmap(image);

                var result = detection.Detect(bitmap, out var locateResult);
                using (locateResult)
                {
                    if (result == ErrorCode.Ok && locateResult.FaceCount > 0)
                    {
                        using (var g = Graphics.FromImage(bitmap))
                        {
                            var face = locateResult.Faces[0].ToRectangle();
                            g.DrawRectangle(new Pen(Color.Chartreuse), face.X, face.Y, face.Width, face.Height);
                        }

                        bitmap.Save("output.jpg", ImageFormat.Jpeg);
                    }
                }
            }
        }
示例#7
0
        private static void Test()
        {
            using (var detection = LocatorFactory.GetTrackingLocator("appid",
                                                                     "sdkKey"))
            {
                var image1 = new Bitmap(Image.FromFile("test.jpg"));
                var image2 = new Bitmap(Image.FromFile("test3.jpg"));
                var image3 = new Bitmap(Image.FromFile("test3.jpg"));
                var image4 = new Bitmap(Image.FromFile("test4.jpg"));


                var r1 = detection.Detect(new Bitmap(image1), out var l1);

                var r2 = detection.Detect(new Bitmap(image2), out var l2);

                var r3 = detection.Detect(new Bitmap(image3), out var l3);

                var r4 = detection.Detect(new Bitmap(image4), out var l4);

                using (var g = Graphics.FromImage(image2))
                {
                    foreach (var s in l2.Faces)
                    {
                        var face = s.ToRectangle();
                        g.DrawRectangle(new Pen(Color.Chartreuse), face.X, face.Y, face.Width, face.Height);
                    }
                }

                image2.Save("output.jpg", ImageFormat.Jpeg);

                l1.Dispose();
                l2.Dispose();
                l3.Dispose();
                l4.Dispose();
            }
        }