public async Task <HttpResponseMessage> Prediction()
{
var response = new HttpResponseMessage();
//response.Content.Headers.Add("Content-Type", "application/json");
try
{
using (var reader = new StreamReader(Request.Body, Encoding.UTF8))
{
string res = await reader.ReadToEndAsync();
var req_str = res.Replace("data:image/jpeg;base64,", "");
Byte[] bytes = System.Convert.FromBase64String(req_str);
if (bytes.Count() < 1000)
{
throw new HttpRequestException("Image is " + bytes.Count().ToString() + " bytes - must be larger than 1000 bytes");
}
var CVhelper = new CustomVision.CustomVisionHelper(Configuration["Training-Key"], Configuration["Prediction-Key"], Configuration["iterationName"]);
var projectID = await CVhelper.SetActiveProjectAsync(Configuration["CustomVisionProjectName"]);
var result = await CVhelper.PredictImageAsync(bytes);
response.Content = new StringContent(result);
return(response);
}
}
catch (Exception ex)
{
response.StatusCode = (HttpStatusCode)429;
response.Content = new StringContent(ex.Message);
return(response);
}
}
public async Task <HttpResponseMessage> Training()
{
var response = new HttpResponseMessage();
var inputTags = "";
try
{
var Querystring = Request.GetQueryNameValuePairs();
for (int i = 0; i < Querystring.Count(); i++)
{
if (Querystring.ElementAt(i).Key.Equals("tags"))
{
inputTags = Querystring.ElementAt(i).Value;
}
}
var res = await Request.Content.ReadAsStringAsync();
var req_str = res.Replace("data:image/jpeg;base64,", "");
Byte[] bytes = System.Convert.FromBase64String(req_str);
if (bytes.Count() < 1000)
{
throw new HttpRequestException("Image is " + bytes.Count().ToString() + " bytes - must be larger than 1000 bytes");
}
var CVhelper = new CustomVision.CustomVisionHelper(ConfigurationManager.AppSettings["Training-Key"], ConfigurationManager.AppSettings["Prediction-Key"]);
if (CVhelper.ValidateTags(inputTags))
{
var projectID = await CVhelper.SetActiveProjectAsync(ConfigurationManager.AppSettings["CustomVisionProjectName"]);
string[] tags = inputTags.Split(Convert.ToChar(";"));
var result = await CVhelper.CreateImageAsync(bytes, tags);
response.Content = new StringContent(result);
}
return(response);
}
catch (Exception ex)
{
response.StatusCode = (HttpStatusCode)429;
response.Content = new StringContent(ex.Message);
return(response);
}
}
public async Task <HttpResponseMessage> Training(string tags)
{
var response = new HttpResponseMessage();
var inputTags = "";
try
{
using (var reader = new StreamReader(Request.Body, Encoding.UTF8))
{
string res = await reader.ReadToEndAsync();
var req_str = res.Replace("data:image/jpeg;base64,", "");
Byte[] bytes = System.Convert.FromBase64String(req_str);
if (bytes.Count() < 1000)
{
throw new HttpRequestException("Image is " + bytes.Count().ToString() + " bytes - must be larger than 1000 bytes");
}
var CVhelper = new CustomVision.CustomVisionHelper(Configuration["Training-Key"], Configuration["Prediction-Key"]);
if (CVhelper.ValidateTags(tags))
{
var projectID = await CVhelper.SetActiveProjectAsync(Configuration["CustomVisionProjectName"]);
string[] intags = tags.Split(Convert.ToChar(";"));
var result = await CVhelper.CreateImageAsync(bytes, intags);
response.Content = new StringContent(result);
}
return(response);
}
}
catch (Exception ex)
{
response.StatusCode = (HttpStatusCode)429;
response.Content = new StringContent(ex.Message);
return(response);
}
}
