async Task <PhotoInfoDTO> ProcessPhotoAsync(byte[] photoAsByteArray, bool recognizeEmotions)
{
Log.Trace($"BEFORE {GetType().Name}.ProcessPhotoAsync()", Log.LogFlag.Debug);
PhotoToProcessDTO photoToProcessDTO = new PhotoToProcessDTO {
PhotoAsByteArray = photoAsByteArray,
RecognizeEmotions = recognizeEmotions
};
var json = JsonConvert.SerializeObject(photoToProcessDTO);
PhotoInfoDTO photoInfoDTO;
if (!offline)
{
using (StringContent content = new StringContent(json, Encoding.UTF8, "application/json")) {
try {
Log.Trace($"{GetType().Name}.ProcessPhotoAsync(): sent to network");
HttpResponseMessage response = await httpClient.PostAsync(Config.CognitiveEndpoint, content);
Log.Trace($"{GetType().Name}.ProcessPhotoAsync(): received a responce from network", Log.LogFlag.Debug);
if (response.StatusCode.Equals(HttpStatusCode.OK))
{
photoInfoDTO = JsonConvert.DeserializeObject <PhotoInfoDTO>(await response.Content.ReadAsStringAsync());
}
else
{
Log.Trace($"{GetType().Name}.ProcessPhotoAsync(): No faces found and analyzed", Log.LogFlag.Debug);
photoInfoDTO = new PhotoInfoDTO {
FoundAndProcessedFaces = false
};
}
}
catch (Exception e) {
Log.Trace($"{GetType().Name}.ProcessPhotoAsync(): Error! Exception message: " + e.Message, Log.LogFlag.Error);
photoInfoDTO = new PhotoInfoDTO {
FoundAndProcessedFaces = false
};
}
}
}
else
{
photoInfoDTO = new PhotoInfoDTO();
photoInfoDTO.Age = "offline";
photoInfoDTO.Emotion = "offline";
photoInfoDTO.FaceCountAsString = "offline";
photoInfoDTO.Gender = "offline";
photoInfoDTO.FoundAndProcessedFaces = true;
}
Log.Trace($"AFTER {GetType().Name}.ProcessPhotoAsync()", Log.LogFlag.Debug);
return(photoInfoDTO);
}
async Task <bool> RecognizeFace()
{
Log.Trace($"BEFORE {GetType().Name}.RecognizeFace()", Log.LogFlag.Debug);
long currMilliseconds = DateTimeOffset.Now.ToUnixTimeMilliseconds();
if (currMilliseconds - 1000L < Interlocked.Exchange(ref lastRecognizingTimeStampMillis, currMilliseconds))
{
Log.Trace($"IN {GetType().Name}.RecognizeFace() BEFORE will wait", Log.LogFlag.Debug);
await Task.Delay(TimeSpan.FromMilliseconds(1000));
Interlocked.Exchange(ref lastRecognizingTimeStampMillis, DateTimeOffset.Now.ToUnixTimeMilliseconds());
Log.Trace($"IN {GetType().Name}.RecognizeFace() AFTER will wait", Log.LogFlag.Debug);
}
if (!IsFacePresent)
{
Log.Trace($"AFTER {GetType().Name}.RecognizeFace(): IsFacePresent='false'", Log.LogFlag.Debug);
return(false);
}
Log.Trace($"IN {GetType().Name}.RecognizeFace() BEFORE check Event state", Log.LogFlag.Debug);
if (RE.State.ContainsKey("Event"))
{
if (RE.State["Event"] == "FacePreOut")
{
RE.SetVar("Event", "FaceIn");
}
}
Log.Trace($"IN {GetType().Name}.RecognizeFace() AFTER check Event state", Log.LogFlag.Debug);
FaceWaitTimer.Stop();
var photoAsStream = new MemoryStream();
Log.Trace($"IN {GetType().Name}.RecognizeFace() BEFORE capture a photo", Log.LogFlag.Debug);
await MC.CapturePhotoToStreamAsync(ImageEncodingProperties.CreateJpeg(), photoAsStream.AsRandomAccessStream());
Log.Trace($"IN {GetType().Name}.RecognizeFace() AFTER capture a photo, BEFORE serialized", Log.LogFlag.Debug);
byte[] photoAsByteArray = photoAsStream.ToArray();
Log.Trace($"IN {GetType().Name}.RecognizeFace() AFTER capture a photo, AFTER serialized", Log.LogFlag.Debug);
Log.Trace($"IN {GetType().Name}.RecognizeFace() BEFORE ProcessPhotoAsync()", Log.LogFlag.Debug);
PhotoInfoDTO photoInfo = await ProcessPhotoAsync(photoAsByteArray, Config.RecognizeEmotions);
Log.Trace($"IN {GetType().Name}.RecognizeFace() AFTER ProcessPhotoAsync()", Log.LogFlag.Debug);
if (photoInfo.FoundAndProcessedFaces)
{
if (photoInfo.Age == "offline")
{
RE.SetVar("FaceCount", "1");
RE.SetVar("Gender", "offline");
RE.SetVar("Age", "-1");
RE.SetVar("Emotion", "offline");
RE.SetVar("offline", "True");
}
else
{
RE.SetVar("FaceCount", photoInfo.FaceCountAsString);
RE.SetVar("Gender", photoInfo.Gender);
RE.SetVar("Age", photoInfo.Age);
if (Config.RecognizeEmotions)
{
RE.SetVar("Emotion", photoInfo.Emotion);
}
}
Log.Trace($"AFTER {GetType().Name}.RecognizeFace(): FaceCount='{RE.State.Eval("FaceCount")}', " +
$"Age='{RE.State.Eval("Age")}', Gender='{RE.State.Eval("Gender")}', Emotion='{RE.State.Eval("Emotion")}'",
Log.LogFlag.Debug);
return(true);
}
else
{
FaceWaitTimer.Start();
Log.Trace($"AFTER {GetType().Name}.RecognizeFace(): FaceCount='0'", Log.LogFlag.Debug);
return(false);
}
}