static void Main(string[] args)
{
String bucket = ExtFunc.Read("\nAmazon S3 Bucket-Name with a picture:");
String photo = ExtFunc.Read("\nPicture Filename in Bucket:");
// CLI-Command. Example= aws rekognition detect-labels --image "S3Object={Bucket=my-pics,Name=pic1.jpg}"
var cmdCli = "\n\naws rekognition detect-labels --image \"S3Object={Bucket=" + bucket + ",Name=" + photo + "}\"\n";
ExtFunc.Say("Please run following command: " + cmdCli);
}
static void Main(string[] args)
{
String text = ExtFunc.Read("Input a text to Sentiment-Analysation i.E \"That was a nice trip. The Hotel was amazing!\"");
AmazonComprehendClient comprehendClient = new AmazonComprehendClient(
Amazon.RegionEndpoint.USEast1);
// Call DetectKeyPhrases API
Console.WriteLine("Calling DetectSentiment");
DetectSentimentRequest detectSentimentRequest = new DetectSentimentRequest()
{
Text = text,
LanguageCode = "en"
};
DetectSentimentResponse detectSentimentResponse = comprehendClient.DetectSentiment(detectSentimentRequest);
Console.WriteLine(detectSentimentResponse.Sentiment);
Console.WriteLine("Done");
}
static void Main(string[] args)
{
String bucket = ExtFunc.Read("\nAmazon S3 Bucket-Name with a picture:");
String photo = ExtFunc.Read("\nPicture Filename in Bucket:");
AmazonRekognitionClient rekognitionClient =
new AmazonRekognitionClient(Amazon.RegionEndpoint.USEast1);
var analyzed_image = new Image()
{
S3Object = new Amazon.Rekognition.Model.S3Object()
{
Name = photo,
Bucket = bucket
},
};
DetectLabelsRequest detectlabelsRequest = new DetectLabelsRequest()
{
Image = analyzed_image,
MaxLabels = 10,
MinConfidence = 75F
};
try
{
DetectLabelsResponse detectLabelsResponse = rekognitionClient.DetectLabels(detectlabelsRequest);
Console.WriteLine("Detected labels for " + photo);
foreach (Label label in detectLabelsResponse.Labels)
{
Console.WriteLine("{0}: {1}", label.Name, label.Confidence);
}
var tempUrl = GetS3Url(RegionEndpoint.USEast1, photo, bucket, 1);
System.Diagnostics.Process.Start(tempUrl);
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
}