问Azure表单识别器性能慢

EN

            string endpoint = @"https://123.cognitiveservices.azure.com/";
        string licenseKey = "123";

        var credential = new AzureKeyCredential(licenseKey);
        FormRecognizerClient client = new FormRecognizerClient(new Uri(endpoint), credential);

        FormRecognizeResponse response = new FormRecognizeResponse()
        {
            ImageID = imageID,
            ImageTypeID = imageTypeID,
            ImageTypeName = imageTypeName
        };

        //https://learn.microsoft.com/en-us/dotnet/api/overview/azure/ai.formrecognizer-readme

        //ID Documents sample: https://github.com/Azure/azure-sdk-for-net/blob/Azure.AI.FormRecognizer_3.1.1/sdk/formrecognizer/Azure.AI.FormRecognizer/samples/Sample11_RecognizeIdentityDocuments.md
        Stopwatch sw = Stopwatch.StartNew();
        
        if (imageToDetect != null && imageToDetect.Length > 0)
        {
            //Custom forms:
            var options = new RecognizeCustomFormsOptions()
            {

                IncludeFieldElements = false, //TODO: OK? We not using this in mapping,
                //Pages = {"1-3","5-6"} 
                //ContentType = FormContentType.Jpeg
            };
            using (var stream = new MemoryStream(imageToDetect))
            {
                try
                {
                    RecognizeCustomFormsOperation operation = client.StartRecognizeCustomForms(modelID, stream, options);
                    Response<RecognizedFormCollection> operationResponse = operation.WaitForCompletionAsync().Result;
                    //RecognizedFormCollection forms = operationResponse.Value;
                    response = MapToModel(imageID, imageTypeID, imageTypeName, operationResponse, false); //Pass fields and reset in caller
                }
                catch (RequestFailedException rfEx)
                {
                    response.ErrorResponse = new FormRecognizeError()
                    {
                        code = rfEx.ErrorCode,
                        statusCode = rfEx.Status,
                        message = rfEx.Message
                    };
                    Console.WriteLine($"ERROR: {rfEx.ToString()}");                        
                }
                catch (Exception ex)
                {
                    response.ErrorResponse = new FormRecognizeError()
                    {
                        statusCode = 400, //(int)HttpStatusCode.BadRequest,
                        message = ex.Message
                    };
                    Console.WriteLine($"ERROR: {ex.ToString()}");                        
                }
            }

            sw.Stop();
            Console.WriteLine("---------------------------------------------------------------------------------");
            if(response.RecognizedForms?.Count() > 0)
                Console.WriteLine($"{sw.ElapsedMilliseconds} Milliseconds --> DetectForm {imageTypeName} response: RecognizedForms:{response.RecognizedForms?.Count()}. Confidence: {response.RecognizedForms[0].TypeConfidence}  Error:{response.ErrorResponse?.message}");
            else
                Console.WriteLine($"{sw.ElapsedMilliseconds} Milliseconds --> DetectForm {imageTypeName} response: No forms detected. Error:{response.ErrorResponse?.message}");

            Console.WriteLine("---------------------------------------------------------------------------------");
            if (printDetail)
            {
                Console.WriteLine(JsonConvert.SerializeObject(response, Formatting.Indented));
                Console.WriteLine("---------------------------------------------------------------------------------");
            }
            Console.WriteLine("");

            //Error Logged in caller?
        }
        else
        {
            Console.WriteLine($"ERROR: Empty image byte array");                
        }