I have a trained model (CNN) deployed in Google Cloud Platform, from which I'm able to get predictions using either the Python client library, or the gcloud command.
I am now trying to use the Dot Net client v1.25 (https://github.com/google/google-api-dotnet-client/tree/v1.25.0) to get predictions, but the request is failing with {"error": "Missing "instances" field in request body."} even though the JSON I'm sending is of the form:
{"instances": [{"image":<base64ImageData>, "key":"1"}]}
I can use the library to get a list of available models using the List() method.
Code is as follows:
using System;
using System.Text;
using Google.Apis.Auth.OAuth2;
using System.IO;
using Google.Apis.Services;
using Google.Apis.CloudMachineLearningEngine.v1beta1.Data;
using Newtonsoft.Json;
namespace GoogleCloudTesting
{
Class Program
{
static void Main(string[] args)
{
GoogleCredential credential = GoogleCredential.GetApplicationDefaultAsync().Result;
var service = new Google.Apis.CloudMachineLearningEngine.v1beta1.CloudMachineLearningEngineService(
new BaseClientService.Initializer()
{
HttpClientInitializer = credential,
ApplicationName = "Testing"
}
);
string jsonImagesPath = @"c:\path\to\images.json"; // {"instances": [{"image":<base64imagedata>, "key":"1"}]}
string json = File.ReadAllText(jsonImagesPath);
var request = new GoogleCloudMlV1beta1PredictRequest
{
HttpBody = new GoogleApiHttpBody { Data = json }
};
var predictRequest = service.Projects.Predict(request, "projects/my_project/models/my_model/versions/V1");
var result = predictRequest.Execute();
Console.WriteLine(result.Data); // null
}
}
}
Any help appreciated, thanks.
