public async Task <IActionResult> Run(
[HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "getprediction")] HttpRequest req,
ILogger log)
{
string imgLink = req.Query["img"];
if (IsValidImgLink(imgLink))
{
var imageUrl = new ImageUrl(imgLink);
var projectId = Guid.Parse(Environment.GetEnvironmentVariable("CustomVisionProjectId"));
var publishedName = Environment.GetEnvironmentVariable("CustomVisionPublishedName");
var imagePrediction = await _customVisionPredictionClient.ClassifyImageUrlAsync(
projectId,
publishedName,
imageUrl);
var highestPrediction = imagePrediction.Predictions
.OrderByDescending(prediction => prediction.Probability)
.First();
var message = $"This looks like {highestPrediction.TagName}! I'm {highestPrediction.Probability} certain of it 🤓.";
return(new OkObjectResult(message));
}
else
{
return(new BadRequestObjectResult("Please provide an image url (png/jp(e)g/gif) in the `img` query parameter."));
}
}
public static async Task <ImagePrediction> ClassifyImageUrlWithRetryAsync(this ICustomVisionPredictionClient predictionApi, Guid projectId, ImageUrl imageUrl, string publishedName)
{
return(await RunTaskWithAutoRetryOnQuotaLimitExceededError(async() => await predictionApi.ClassifyImageUrlAsync(projectId, publishedName, imageUrl)));
}
/// <summary>
/// Classify an image url and saves the result.
/// </summary>
/// <param name='operations'>
/// The operations group for this extension method.
/// </param>
/// <param name='projectId'>
/// The project id.
/// </param>
/// <param name='publishedName'>
/// Specifies the name of the model to evaluate against.
/// </param>
/// <param name='imageUrl'>
/// An ImageUrl that contains the url of the image to be evaluated.
/// </param>
/// <param name='application'>
/// Optional. Specifies the name of application using the endpoint.
/// </param>
public static ImagePrediction ClassifyImageUrl(this ICustomVisionPredictionClient operations, System.Guid projectId, string publishedName, ImageUrl imageUrl, string application = default(string))
{
return(operations.ClassifyImageUrlAsync(projectId, publishedName, imageUrl, application).GetAwaiter().GetResult());
}