public VisualRecognitionClassifyResponse ClassifyImageFile(VisualRecognitionClassifyRequestFile model)
{
var client = new RestClient(Configuration.ApiUrl);
var requestUrl = new StringBuilder();
requestUrl.Append($"/classify?api_key={Configuration.ApiKey}&version={Configuration.Version}");
if (model.Threshold.HasValue)
{
requestUrl.Append($"&threshold={model.Threshold}");
}
if (model.Classifiers != null && model.Classifiers.Any())
{
requestUrl.Append($"&classifier_ids={string.Join(",", model.Classifiers)}");
}
if (model.Owners != null && model.Owners.Any())
{
requestUrl.Append($"&owners={string.Join(",", model.Owners)}");
}
var request = new RestRequest(requestUrl.ToString())
{
Method = Method.POST
};
request.AddHeader("Content-Type", "multipart/form-data");
request.AddFile("image_file", model.File.Stream.ReadFully(), model.File.Name);
// Execute the API Call
var response = client.ExecuteSync(request);
// Handle the Response
return(HandleRecognitionResponse <VisualRecognitionClassifyResponse>(response));
}
public JsonResult ClassifyFile([FromForm] string apiKey, string[] classifiers, string[] owners, double?threshold, IFormFile file)
{
try
{
var client = new VisualRecognitionClient(apiKey);
using (var stream = file.OpenReadStream())
{
var request = new VisualRecognitionClassifyRequestFile(stream, file.FileName)
{
Classifiers = classifiers,
Owners = owners,
Threshold = threshold
};
var response = client.ClassifyImageFile(request);
return(Json(response));
}
}
catch (Exception exc)
{
return(JsonError(exc));
}
}
