public async Task <IActionResult> Post(List <IFormFile> img)
{
var requestStream = Request.HttpContext.Items;
const string scue = "https://southcentralus.api.cognitive.microsoft.com";
string trainingKey = "4f473807b7434dd5a1bdb45cb9104b38";
CustomVisionTrainingClient trainingApi = new CustomVisionTrainingClient()
{
ApiKey = trainingKey,
Endpoint = scue
};
// Find the object detection domain
var domains = trainingApi.GetDomainsAsync();
//var objDetectionDomain = domains.FirstOrDefault(d => d.Type == "ObjectDetection");
var project = trainingApi.GetProject(Guid.Parse("b911d77a-ef25-47fd-86ed-87db4500ef7b"));
const string southcentralus = "https://southcentralus.api.cognitive.microsoft.com";
string predictionKey = "a58f3ca5856c491db0b73b87cb1118cf";
CustomVisionPredictionClient endpoint = new CustomVisionPredictionClient()
{
ApiKey = predictionKey,
Endpoint = southcentralus
};
var c = new List <PredictionModel>();
var result = endpoint.PredictImage(Guid.Parse("cbfa66a3-9815-47d6-a389-7438e468ac15"), img[0].OpenReadStream());
ImageUrl imgUrl = new ImageUrl();
imgUrl.Url = "https://http2.mlstatic.com/guitarra-tagima-pr-200-special-pr200-sunburst-D_NQ_NP_894387-MLB26271081482_112017-F.jpg";
var resultImageUrl = endpoint.PredictImageUrl(Guid.Parse("cbfa66a3-9815-47d6-a389-7438e468ac15"), imgUrl);
foreach (var item in result.Predictions.OrderBy(x => x.Probability))
{
var pm = new PredictionModel(Math.Round(item.Probability * 100), item.TagId, item.TagName, item.BoundingBox);
if (pm.Probability > 70)
{
pm.BoundingBox.Top = Convert.ToInt32(pm.BoundingBox.Top * 380);
pm.BoundingBox.Height = Convert.ToInt32(pm.BoundingBox.Height * 380);
pm.BoundingBox.Left = Convert.ToInt32(pm.BoundingBox.Left * 700);
pm.BoundingBox.Width = Convert.ToInt32(pm.BoundingBox.Width * 700);
c.Add(pm);
}
}
return(Ok(c));
}
public IEnumerable <TagPrediction> GetImageTagPredictions(string imageUrl)
{
var client = new CustomVisionPredictionClient()
{
ApiKey = customVisionSubscriptionKey,
Endpoint = "https://southcentralus.api.cognitive.microsoft.com"
};
var result = client.PredictImageUrl(customVisionProjectId, new ImageUrl(imageUrl));
return(result.Predictions.Select(p => new TagPrediction(p.TagName, (int)(p.Probability * 100))).ToList());
}
public static void predictingImages(String imgUrl)
{
CustomVisionPredictionClient endpoint = new CustomVisionPredictionClient()
{
ApiKey = predictionKey,
Endpoint = SouthCentralUsEndpoint
};
// Make a prediction against the new project
//Console.WriteLine("Predicting:");
//Test Image to be predicted after training of classifier
projectID = new Guid("83867a3b-64ae-4c1d-994c-1fc75b7f0e5a");
Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl testImage = new Microsoft.Azure.CognitiveServices.Vision.CustomVision.Prediction.Models.ImageUrl(imgUrl);
var result = endpoint.PredictImageUrl(projectID, testImage);
// Loop over each prediction and write out the results
foreach (var c in result.Predictions)
{
Console.WriteLine($"\t{c.TagName}: {c.Probability:P1}");
}
}
public static async Task <HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Function, "get", "post", Route = null)] HttpRequestMessage req, TraceWriter log)
{
//try
//{
// await connection.OpenAsync();
//}
//catch (Exception)
//{
// throw;
//}
Prediction pd = new Prediction();
string url = "https://informebairro.com.br/wp-content/uploads/2018/01/aula-de-instrumentos-musicais-violao-guitarra.jpg";
for (int i = 0; i < 2; i++)
{
await SendQueue.SendMessagesAsync(url);
await sendQueue1();
await sendQueue2();
}
log.Info("C# HTTP trigger function processed a request.");
// parse query parameter
string name = req.GetQueryNameValuePairs()
.FirstOrDefault(q => string.Compare(q.Key, "name", true) == 0)
.Value;
if (name == null)
{
// Get request body
dynamic data = await req.Content.ReadAsAsync <object>();
name = data?.name;
}
const string southcentralus = "https://southcentralus.api.cognitive.microsoft.com";
string predictionKey = "a58f3ca5856c491db0b73b87cb1118cf";
CustomVisionPredictionClient endpoint = new CustomVisionPredictionClient()
{
ApiKey = predictionKey,
Endpoint = southcentralus
};
ImageUrl imgUrl = new ImageUrl();
imgUrl.Url = "https://http2.mlstatic.com/guitarra-tagima-pr-200-special-pr200-sunburst-D_NQ_NP_894387-MLB26271081482_112017-F.jpg";
var c = new List <PredictionModel>();
var resultImageUrl = endpoint.PredictImageUrl(Guid.Parse("cbfa66a3-9815-47d6-a389-7438e468ac15"), imgUrl);
foreach (var item in resultImageUrl.Predictions.OrderBy(x => x.Probability))
{
var pm = new PredictionModel(Math.Round(item.Probability * 100), item.TagId, item.TagName, item.BoundingBox);
if (pm.Probability > 59)
{
pm.BoundingBox.Top = Convert.ToInt32(pm.BoundingBox.Top * 380);
pm.BoundingBox.Height = Convert.ToInt32(pm.BoundingBox.Height * 380);
pm.BoundingBox.Left = Convert.ToInt32(pm.BoundingBox.Left * 700);
pm.BoundingBox.Width = Convert.ToInt32(pm.BoundingBox.Width * 700);
c.Add(pm);
}
}
foreach (var item in c)
{
pd.Id = Guid.NewGuid();
pd.Url = url;
pd.CanAdvertisement = true;
pd.Probability = item.Probability;
string sql = "INSERT INTO Predictions(Id,Url,CanAdvertisement,Probability) VALUES(@param1,@param2,@param3,@param3)";
using (SqlCommand cmd = new SqlCommand(sql, connection))
{
cmd.Parameters.Add("@param1", SqlDbType.UniqueIdentifier).Value = pd.Id;
cmd.Parameters.Add("@param2", SqlDbType.VarChar, 100).Value = pd.Url;
cmd.Parameters.Add("@param3", SqlDbType.Bit).Value = pd.CanAdvertisement;
cmd.Parameters.Add("@param4", SqlDbType.Float).Value = pd.Probability;
cmd.CommandType = CommandType.Text;
cmd.ExecuteNonQuery();
}
}
var jsonToReturn = JsonConvert.SerializeObject(resultImageUrl);
return(req.CreateResponse(HttpStatusCode.OK, jsonToReturn, "application/json"));
}