/// <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);
}
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();
}
public void initWithIdCardRecognizeModel(Context context, FaceSDK.RecognizeType type)
{
if (faceRecognize == null)
{
faceRecognize = new FaceRecognize(context);
faceRecognize.InitModel(FaceSDK.RecognizeType.RecognizeIdPhoto);
}
}
public void init(Context context, FaceSDK.RecognizeType type)
{
if (faceRecognize == null)
{
faceRecognize = new FaceRecognize(context);
faceRecognize.InitModel(type);
}
}
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();
}
/// <summary>
/// 采用指定的定位和识别初始化
/// </summary>
/// <param name="locator">定位器</param>
/// <param name="recognize">识别器</param>
public FaceProcessor(FaceLocator locator, FaceRecognize recognize)
{
_locator = locator;
_recognize = recognize;
if (!_locator.IsIntialized)
{
_locator.Initialize();
}
}
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();
}
public void init(Context context)
{
if (faceRecognize == null)
{
faceRecognize = new FaceRecognize(context);
// RECOGNIZE_LIVE普通生活照、视频帧识别模型（包含特征抽取）
// RECOGNIZE_ID_PHOTO 身份证芯片模型（包含特征抽取）
// RECOGNIZE_NIR 近红外图片识别模型（包含特征抽取）
// 两张图片的识别需要使用相同的模型
faceRecognize.InitModel(FaceSDK.RecognizeType.RecognizeLive);
faceRecognize.InitModel(FaceSDK.RecognizeType.RecognizeIdPhoto);
// faceRecognize.initModel(FaceSDK.RecognizeType.RECOGNIZE_NIR);
}
}
/// <summary>
/// 根据locate数据，从图片中提供人脸特征，先执行 FaceLocateResult() 获得图片的人脸特征
/// </summary>
/// <param name="bitmap">图片</param>
/// <param name="locate">图片中的人脸数据</param>
/// <returns>返回一个人脸特征，适用于图片中只有一个人脸的情况</returns>
public Feature GetFaceFeature(Bitmap bitmap, LocateResult locate)
{
Feature feature = null;
var result = _detection.Detect(bitmap, out var locateResult);
if (result == Stepon.FaceRecognization.Common.ErrorCode.Ok && locateResult.HasFace)
{
using (_recognize = new FaceRecognize(AppConfigurations.AppId, AppConfigurations.FrKey))
{
feature = _recognize.ExtractFeature(locate.OffInput, locate.Faces[0], locate.FacesOrient[0]);
}
}
return(feature);
}
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();
}
