public override void Do(object pData)
{
FaceDetect detector = (FaceDetect)pData;
detector.SwitchTicketCam(true);
bool bCmp = false;
string strQrCode="";
for (int i=0; i<detector.GetMaxTicketChkTimes(); i++)
{
bCmp = detector.DoCheckTicket(ref strQrCode);
if (bCmp) { break; }
JobManager.Sleep(JobManager.IDLE_WAIT_MS * 2);
}
detector.SwitchTicketCam(false);
if (bCmp)
{
string str = string.Format("二维码内容: {0}", strQrCode);
detector.PromptInfo(str);
JobManager.Sleep(200); //! for demo only
GetMgr().disPatch(JobManager.sHandlerOpenGate, pData);
}
else {
detector.PromptError("车票验证不通过！\n请走人工验票通道。");
detector.PlayVoice(ConstValue.VOICE_FAIL_TICKCHK, true);
GetMgr().disPatch(JobManager.sHandlerException, pData);
}
}
/// <summary>
/// 对图片做opencv的人脸分析
/// </summary>
/// <param name="imgTag"></param>
public static void OpenCVAnalysis(ImageTag imgTag)
{
var imageFile = imgTag.GetTrueImageFile();
var image = Cv2.ImRead(imageFile);
var tps = new List <TagPart>();
foreach (var face in FaceDetect.OpenCvDetectMultiScale(image))
{
var body = AITag.Common.Utils.GetBodyRect(face, (double)(64 - 8) / 128, image.Width, image.Height);
if (body != Rect.Empty)
{
tps.Add(new TagPart
{
Face = face,
Body = body
});
}
}
if (tps.Count == 0)
{
imgTag.Status = "opencv_fail";
}
else
{
imgTag.OpenCvParts = tps;
imgTag.Status = "opencv_finish";
}
}
private void Start()
{
FaceAppData faceAppData = new FaceAppData("11253066", "WwnwTfmq9ulkzknDBOv9tr6s", "7DNbqdtYvhVr0nR8YMtbIUeFfwyCBVgc");
_faceDetect = new FaceDetect(faceAppData);
_faceSearch = new FaceSearch("FaceRec", faceAppData);
}
// 验证通过，允许通行
public override void Do(object pData)
{
FaceDetect detector = (FaceDetect)pData;
detector.LetGo();
JobManager.Sleep(800); //! for demo only
GetMgr().disPatch(JobManager.sHandlerReadIDCard, pData);
}
private void Start()
{
faceDetect = new FaceDetect(faceModelFile);
draw = new PrimitiveDraw(Camera.main, gameObject.layer);
var webCamInput = GetComponent <WebCamInput>();
webCamInput.OnTextureUpdate.AddListener(OnTextureUpdate);
}
public void TestFaceDetectFromBytesImage()
{
byte[] arrBytes = GetImageAsByteArray("imageTest/img1.jpg");
using (FaceDetect faceDetect = new FaceDetect(LocationServerApiAzure.EastUS))
{
faceDetect.SuscriptionKey = "Api Key Azure Cognitive Services";
ResponseFaceDetect responseFaceDetect = faceDetect.GetFacesFromImageInDisk("Path The Image").Result;
}
}
private static Rectangle Draw(FaceDetect face)
{
return(new Rectangle
{
Width = face.FaceRectangle.Width,
Height = face.FaceRectangle.Height,
Stroke = new SolidColorBrush(Colors.Yellow),
Fill = new SolidColorBrush(Colors.Transparent),
StrokeThickness = 3,
Name = face.FaceId
});
}
private void cameraShootHaar(object sender, System.Windows.RoutedEventArgs e)
{
Bitmap bt = FaceDetect.emguHaarDetect(imgshoot);
if (bt != null)
{
img_m22.Source = BitmapToBitmapImage(bt);
}
else
{
MessageBox.Show("未检测到人脸信息");
}
}
public override void Do(object pData)
{
FaceDetect detector = (FaceDetect)pData;
if (detector.ReadIDCardInfo())
{
GetMgr().disPatch(JobManager.sHandlerFaceCmp, pData);
}
else
{
JobManager.Sleep(JobManager.IDLE_WAIT_MS);
}
}
private void InitMediaPipeModelPaths()
{
string detectionPath = Path.Combine(Application.streamingAssetsPath, faceModelFile);
m_faceDetect = new FaceDetect(detectionPath);
string faceMeshPath = Path.Combine(Application.streamingAssetsPath, faceMeshModelFile);
m_faceMesh = new FaceMesh(faceMeshPath);
string irisDetectionPath = Path.Combine(Application.streamingAssetsPath, irisModelFile);
m_irisLeftDetect = new IrisDetect(irisDetectionPath);
m_irisRightDetect = new IrisDetect(irisDetectionPath);
}
//相似度计算
private void m1SimCaculate(object sender, System.Windows.RoutedEventArgs e)
{
if (img_m11.Source != null)
{
st.Start();
tempbt = FaceDetect.SkinSimDetect(tb_filepath.Text.Trim());
st.Stop();
img_m12.Source = BitmapToBitmapImage(tempbt);
lab_time1.Content = String.Format("{0:F02}毫秒", st.ElapsedMilliseconds);
lastElsp = st.ElapsedMilliseconds;
}
else
{
MessageBox.Show("请先打开一张图片");
}
}
private void m4detectface(object sender, System.Windows.RoutedEventArgs e)
{
st.Start();
Bitmap bt = FaceDetect.emguHaarDetect(tb_filepath4.Text.Trim());
st.Stop();
if (bt != null)
{
img_m41.Source = BitmapToBitmapImage(bt);
}
else
{
MessageBox.Show("未检测到人脸信息");
}
lab_time4.Content = String.Format("{0:F02}毫秒", st.ElapsedMilliseconds - lastElsp);
lastElsp = st.ElapsedMilliseconds;
}
void Start()
{
string detectionPath = Path.Combine(Application.streamingAssetsPath, faceModelFile);
faceDetect = new FaceDetect(detectionPath);
string cameraName = WebCamUtil.FindName(new WebCamUtil.PreferSpec()
{
isFrontFacing = false,
kind = WebCamKind.WideAngle,
});
webcamTexture = new WebCamTexture(cameraName, 1280, 720, 30);
cameraView.texture = webcamTexture;
webcamTexture.Play();
Debug.Log($"Starting camera: {cameraName}");
draw = new PrimitiveDraw(Camera.main, gameObject.layer);
}
public override void Do(object pData)
{
FaceDetect detector = (FaceDetect)pData;
detector.SwitchLight(2, true);
detector.SwitchLight(3, true);
detector.PlayVoice(ConstValue.VOICE_VIEW_CAM);
float fScore = 0.0f;
bool bCmp = false;
for (int i = 0; i < detector.GetMaxFaceCmpTimes(); i++)
{
bCmp = detector.DoFaceCmp(ref fScore);
if (bCmp)
{
break;
}
JobManager.Sleep(JobManager.IDLE_WAIT_MS);
}
detector.SwitchLight(2, false);
detector.SwitchLight(3, false);
detector.KeepCompareInfo(fScore);
if (bCmp)
{
detector.PromptInfo("人脸识别通过");
JobManager.Sleep(100); //for test
GetMgr().disPatch(JobManager.sHandlerTicketCheck, pData);
}
else
{
detector.PromptError("人脸识别不通过");
detector.PlayVoice(ConstValue.VOICE_FAIL_FACECMP);
GetMgr().disPatch(JobManager.sHandlerException, pData);
}
detector.WriteFaceCmpLog(fScore);
}
static void Main(string[] args)
{
string[] imgs = { "mayun.jpg", "zhangxueyou.jpg", "nezha.jpg" };
string path = $@".\images\{imgs[2]}";
string result = FaceDetect.Detect(path);
JObject ro = JsonConvert.DeserializeObject <JObject>(result);
// 解析的第一个人脸信息
JToken faceObj = ro["result"]["face_list"][0];
Console.WriteLine("=================================");
Console.WriteLine($"年龄：{faceObj["age"]}");
Console.WriteLine($"美丑打分,范围0-100：{faceObj["beauty"]}");
Console.WriteLine($"情绪：{faceObj["emotion"]}");
Console.WriteLine($"表情：{faceObj["expression"]}");
Console.WriteLine($"真实人脸/卡通人脸：{faceObj["face_type"]}");
Console.WriteLine($"性别：{faceObj["gender"]}");
Console.WriteLine($"是否戴眼镜：{faceObj["glasses"]}");
Console.ReadKey(false);
}
private void Start()
{
faceDetect = new FaceDetect(faceModelFile);
faceMesh = new FaceMesh(faceMeshModelFile);
draw = new PrimitiveDraw(Camera.main, gameObject.layer);
// Create Face Mesh Renderer
{
var go = new GameObject("Face");
go.transform.SetParent(transform);
var faceRenderer = go.AddComponent <MeshRenderer>();
faceRenderer.material = faceMaterial;
faceMeshFilter = go.AddComponent <MeshFilter>();
faceMeshFilter.sharedMesh = FaceMeshBuilder.CreateMesh();
faceKeypoints = new Vector3[FaceMesh.KEYPOINT_COUNT];
}
var webCamInput = GetComponent <WebCamInput>();
webCamInput.OnTextureUpdate.AddListener(OnTextureUpdate);
}
void Start()
{
string detectionPath = Path.Combine(Application.streamingAssetsPath, faceModelFile);
faceDetect = new FaceDetect(detectionPath);
string faceMeshPath = Path.Combine(Application.streamingAssetsPath, faceMeshModelFile);
faceMesh = new FaceMesh(faceMeshPath);
string cameraName = WebCamUtil.FindName(new WebCamUtil.PreferSpec()
{
isFrontFacing = false,
kind = WebCamKind.WideAngle,
});
webcamTexture = new WebCamTexture(cameraName, 1280, 720, 30);
cameraView.texture = webcamTexture;
webcamTexture.Play();
Debug.Log($"Starting camera: {cameraName}");
draw = new PrimitiveDraw(Camera.main, gameObject.layer);
// Create Face Mesh Renderer
{
var go = new GameObject("Face");
go.transform.SetParent(transform);
var faceRenderer = go.AddComponent <MeshRenderer>();
faceRenderer.material = faceMaterial;
faceMeshFilter = go.AddComponent <MeshFilter>();
faceMeshFilter.sharedMesh = FaceMeshBuilder.CreateMesh();
faceKeypoints = new Vector3[FaceMesh.KEYPOINT_COUNT];
}
}
private async void btnSelectImage_Click(object sender, EventArgs e)
{
if (IsBusy)
{
return;
}
if (dialogOpen.ShowDialog() == DialogResult.OK)
{
dataFaces.Rows.Clear();
IsBusy = true;
btnSelectImage.Text = "Loading...";
pictureUsed.ImageLocation = dialogOpen.FileName;
using (FaceDetect faceDetect = new FaceDetect(LocationServerApiAzure.EastUS))
{
faceDetect.SuscriptionKey = "Api Azure Key";
ResponseFaceDetect responseFaceDetect = await faceDetect.GetFacesFromImageInDisk(dialogOpen.FileName);
if (responseFaceDetect.IsSuccess)
{
foreach (var face in responseFaceDetect.Faces)
{
dataFaces.Rows.Add(face.faceAttributes.gender, face.faceAttributes.age);
}
}
else
{
MessageBox.Show(responseFaceDetect.Error.Message);
}
}
btnSelectImage.Text = "Select Image";
IsBusy = false;
}
}
void LoadPageShow()
{
currentShowTag = images[currentIndex];
var image = Cv2.ImRead(currentShowTag.GetTrueImageFile());
var tps = currentShowTag.OpenCvParts;
if (tps == null || tps.Count == 0)
{
// 网上有看到有人先转灰度再识别，实际效果也没好多少 var gray_img = image.CvtColor(ColorConversionCodes.RGB2GRAY);
var ract = FaceDetect.OpenCvDetectMultiScale(image);
tps = new List <TagPart>();
foreach (var face in ract)
{
var body = AITag.Common.Utils.GetBodyRect(face, (double)(64 - 8) / 128, image.Width, image.Height);
if (body != Rect.Empty)
{
tps.Add(new TagPart
{
Face = face,
Body = body
});
}
}
}
if (tps.Count == 0)
{
UpdateIamgeTagStatus(currentShowTag, "opencv_fail");
btnNextImage_Click(null, null);
return;
}
currentShowTag.OpenCvParts = tps;
panelParts.Children.Clear();
foreach (var item in tps)
{
var face = item.Face;
var body = item.Body;
Cv2.Rectangle(image, face, Scalar.Red);
var i2 = image.Clone(body);
var utp = new UserTagParts();
utp.InitData(item, i2);
panelParts.Children.Add(utp);
Cv2.Rectangle(image, body, Scalar.Red);
var ioa = InputOutputArray.Create(image);
// 顺便标注一下尺寸
Cv2.PutText(ioa, $"top:{face.Top} left:{face.Left} w:{face.Width} h:{face.Height}",
new Point(face.Left, face.Bottom + 2),
HersheyFonts.HersheySimplex, 1, Scalar.Blue);
ioa = InputOutputArray.Create(image);
Cv2.PutText(ioa, $"top:{body.Top} left:{body.Left} w:{body.Width} h:{body.Height}",
new Point(body.Left, body.Top - 10),
HersheyFonts.HersheySimplex, 1, Scalar.Blue);
}
imgShow.Source = image.MatToBitmapImage();
panelCurrentImgTags.Children.Clear();
if (!string.IsNullOrEmpty(currentShowTag.TagsName))
{
AppendTagtoCurrentTagPanel(currentShowTag.TagsName);
}
}
/// <summary>
/// 将视频封面照，拿去百度检查
/// </summary>
private static void DetectFace2(int maxGetCount = 60 * 2 * 30) // 30分钟的数据)
{
var baiduai = new FaceDetect();
int i = 0;
DateTime nextCallTime = DateTime.Now;
using (var db = DBSet.GetCon(DBSet.SqliteDBName.Bilibili))
{
foreach (var up in db.Select <UP>(o => o.follower > 3000).OrderByDescending(o => o.follower).ToArray())
{
foreach (var av in db.Select <AV>(o => o.UpId == up.Id))
{
if (isExit)
{
break;
}
var pic = new Uri(av.pic).AbsolutePath.Replace("/", "_");
// 只按照本地文件名做验证
var detect = db.Single <ImageDetect>(o => o.LocalFile == pic);
if (detect == null)
{
byte[] bytes = null;
if (FromWeb)
{
try
{
bytes = new WebClient().DownloadData(av.pic);
}
catch (Exception e)
{
Console.WriteLine(e);
}
}
else
{
// 封面照落地，根据目前采集到数据，如果将宅舞区的封面照落地的话，估计要100多G
// 再加上三次元区，估计服务器硬盘干不动
var imagePath = SpiderConfig.GetPath($"imgs/{av.UpId}/{av.Id}");
var imageFile = Path.Combine(imagePath, pic);
if (!File.Exists(imageFile))
{
continue;
}
bytes = File.ReadAllBytes(imageFile);
}
if (bytes == null)
{
continue;
}
var wait = (int)(nextCallTime - DateTime.Now).TotalMilliseconds + 1;
if (wait > 0)
{
Console.WriteLine($"wait {wait}");
Thread.Sleep(wait);
}
var start = DateTime.Now;
var ret = baiduai.DetectFromBytes(bytes);
Console.Write($"useTime:{ (DateTime.Now - start).TotalMilliseconds} ms ");
nextCallTime = DateTime.Now.AddMilliseconds(500);
if (ret != null)
{
var dbItem = new ImageDetect
{
AVId = av.Id,
UpId = av.UpId,
LocalFile = pic,
Url = av.pic,
Detect = ret.result,
};
if (ret.error_code == 0)
{
dbItem.face_num = ret.result.face_num;
if (ret.result.face_num > 0)
{
dbItem.max_face_probability = ret.result.face_list.Max(o => o.face_probability);
dbItem.max_quality = ret.result.face_list.Max(o => GetQuality(o));
}
}
db.Insert(dbItem);
Console.WriteLine(av.title);
if (maxGetCount-- < 0)
{
return;
}
// Thread.Sleep(500); // 百度的免费接口只有 2 qps，所以在这里做一下延迟。
}
}
else
{
// Console.WriteLine("忽略 " + av.title);
}
}
}
}
}
public override void PreDo(object pData)
{
FaceDetect detector = (FaceDetect)pData;
detector.ResetIDCardInfo();
}
/// <summary>
/// Initialises this class
/// </summary>
private void Awake()
{
// このクラスをシングルトンのようにふるまわせる
Instance = this;
}
/// <summary>
/// 拍照并检测
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void cameraShoot(object sender, System.Windows.RoutedEventArgs e)
{
img_m22.Source = BitmapToBitmapImage(FaceLocate.faceLocate(FaceLocate.ImageBinary(FaceDetect.SkinSimDetect(imgshoot)), imgshoot));
}
/// <summary>
/// 提交人脸检测结果
/// </summary>
/// <param name="obj"></param>
/// <returns></returns>
public Result <TicketResult> Ticket_SubmitFaceDetect(FaceDetect obj)
{
_log.Info("进入【提交人脸检测结果】事件: Ticket_SubmitFaceDetect");
return(TicketDataResult.TaskTerminationResult());
}
public override void PreDo(object pData)
{
FaceDetect detector = (FaceDetect)pData;
detector.FlashLight(1, 200);
}
