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();
}
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();
}
private static void TestAgeAndGender()
{
using (var detection = LocatorFactory.GetDetectionLocator("appid", "key"))
{
var image1 = Image.FromFile("test2.jpg");
using (var estimate = new FaceAge("appid", "key"))
{
var result1 = estimate.StaticEstimation(detection, new Bitmap(image1));
foreach (var result1Age in result1.Ages)
{
Console.WriteLine(result1Age);
}
}
using (var estimate = new FaceGender("appid", "key"))
{
var result1 = estimate.StaticEstimation(detection, new Bitmap(image1));
foreach (var result1Gender in result1.Genders)
{
Console.WriteLine(result1Gender);
}
}
}
//another
var age = new FaceAge("appid", "key");
var gender = new FaceGender("appid", "key");
using (var detection = LocatorFactory.GetDetectionLocator("appid", "key", age, gender))
{
var image1 = Image.FromFile("test2.jpg");
var result = detection.Detect(new Bitmap(image1), out var location,
LocateOperation.IncludeAge | LocateOperation.IncludeGender); //default is None, no age and gender estimation
for (var i = 0; i < location.FaceCount; i++)
{
Console.WriteLine(location.Ages[i]);
Console.WriteLine(location.Genders[i]);
}
}
age.Dispose();
gender.Dispose();
}
