/// <summary>
/// ボタンをクリックした時の処理
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private async void _Click(object sender, RoutedEventArgs e)
{
var button = (Button)sender;
if (button.Name == "btnShot")
{
txtDisplay.Text = "";
var loader = new ResourceLoader();
try
{
// カメラで撮影する
var file = await _cameraHelper.CapturePhoto();
using (var stream = File.OpenRead(file.Path))
{
// クライアント生成
var client = new PredictionEndpoint
{
BaseUri = new Uri(Constants.ENDPOINT),
ApiKey = Constants.VISION_KEY,
};
// 画像を送ってタグを取得する
var result = await client.PredictImageWithHttpMessagesAsync(
new Guid(Constants.PROJECT_ID),
stream,
new Guid(Constants.ITERATION_ID));
var predictions = result.Body.Predictions;
// 合致率が高い順にソートして先頭を取得
var prediction = predictions.ToArray().OrderByDescending(p => p.Probability).ElementAt(0);
string text;
if (prediction.Tag == "ペットボトル")
{
text = prediction.Tag + " " + loader.GetString("MSG_TRUSH");
}
else if (prediction.Tag == "缶")
{
text = prediction.Tag + " " + loader.GetString("MSG_STAMP");
}
else if (prediction.Tag == "瓶")
{
text = prediction.Tag + " " + loader.GetString("MSG_SMASH");
}
else
{
text = loader.GetString("LABEL_UNKNOWN");
}
// 表示
txtDisplay.Text = text;
}
}
catch (Exception exp)
{
var dialog = new MessageDialog(exp.Message);
await dialog.ShowAsync();
}
}
}
private async Task <ImagePredictionResultModel> PredictImageAsync(Stream stream)
{
var ep = new PredictionEndpoint(new PredictionEndpointCredentials(AuthKeys.VisionPredictionKey))
{
BaseUri = new Uri(AuthKeys.VisionPredictionUrl)
};
var response = await ep.PredictImageWithHttpMessagesAsync(AuthKeys.GardenCenterProjectId, stream).ConfigureAwait(false);
return(response.Body);
}