public void ThrowOnAnyError()
{
// Snippet: ThrowOnAnyError
Image image = new Image(); // No content or source!
// Just a single request in this example, but usually BatchAnnotateImages would be
// used with multiple requests.
var request = new AnnotateImageRequest
{
Image = image,
Features = { new Feature {
Type = Feature.Types.Type.SafeSearchDetection
} }
};
ImageAnnotatorClient client = ImageAnnotatorClient.Create();
try
{
BatchAnnotateImagesResponse response = client.BatchAnnotateImages(new[] { request });
// ThrowOnAnyError will throw if any individual response in response.Responses
// contains an error. Other responses may still have useful results.
// Errors can be detected manually by checking the Error property in each
// individual response.
response.ThrowOnAnyError();
}
catch (AggregateException e)
{
// Because a batch can have multiple errors, the exception thrown is AggregateException.
// Each inner exception is an AnnotateImageException
foreach (AnnotateImageException innerException in e.InnerExceptions)
{
Console.WriteLine(innerException.Response.Error);
}
}
// End snippet
}
public void BatchAnnotateImages()
{
// Snippet: BatchAnnotateImages(IEnumerable<AnnotateImageRequest>,CallSettings)
// Create client
ImageAnnotatorClient imageAnnotatorClient = ImageAnnotatorClient.Create();
// Initialize request argument(s)
IEnumerable <AnnotateImageRequest> requests = new List <AnnotateImageRequest>();
// Make the request
BatchAnnotateImagesResponse response = imageAnnotatorClient.BatchAnnotateImages(requests);
// End snippet
}
/// <summary>Snippet for BatchAnnotateImages</summary>
public void BatchAnnotateImages_RequestObject()
{
// Snippet: BatchAnnotateImages(BatchAnnotateImagesRequest,CallSettings)
// Create client
ImageAnnotatorClient imageAnnotatorClient = ImageAnnotatorClient.Create();
// Initialize request argument(s)
BatchAnnotateImagesRequest request = new BatchAnnotateImagesRequest
{
Requests = { },
};
// Make the request
BatchAnnotateImagesResponse response = imageAnnotatorClient.BatchAnnotateImages(request);
// End snippet
}
public void BatchAnnotateImages()
{
Image image1 = LoadResourceImage("SchmidtBrinPage.jpg");
Image image2 = LoadResourceImage("Chrome.png");
// Sample: BatchAnnotateImages
// Additional: BatchAnnotateImages(IEnumerable<AnnotateImageRequest>,*)
ImageAnnotatorClient client = ImageAnnotatorClient.Create();
// Perform face recognition on one image, and logo recognition on another.
AnnotateImageRequest request1 = new AnnotateImageRequest
{
Image = image1,
Features = { new Feature {
Type = Feature.Types.Type.FaceDetection
} }
};
AnnotateImageRequest request2 = new AnnotateImageRequest
{
Image = image2,
Features = { new Feature {
Type = Feature.Types.Type.LogoDetection
} }
};
BatchAnnotateImagesResponse response = client.BatchAnnotateImages(new[] { request1, request2 });
Console.WriteLine("Faces in image 1:");
foreach (FaceAnnotation face in response.Responses[0].FaceAnnotations)
{
string poly = string.Join(" - ", face.BoundingPoly.Vertices.Select(v => $"({v.X}, {v.Y})"));
Console.WriteLine($" Confidence: {(int)(face.DetectionConfidence * 100)}%; BoundingPoly: {poly}");
}
Console.WriteLine("Logos in image 2:");
foreach (EntityAnnotation logo in response.Responses[1].LogoAnnotations)
{
Console.WriteLine($"Description: {logo.Description}");
}
foreach (Status error in response.Responses.Select(r => r.Error))
{
Console.WriteLine($"Error detected: error");
}
// End sample
Assert.Equal(3, response.Responses[0].FaceAnnotations.Count);
Assert.Equal(1, response.Responses[1].LogoAnnotations.Count);
}
private IEnumerable <AnalysisResponse> Analyze(ImageAnnotatorClient client, List <AnnotateImageRequest> requests, List <Guid> requestSystemIds)
{
BatchAnnotateImagesResponse response = client.BatchAnnotateImages(requests);
var requestIndex = 0;
foreach (var res in response.Responses)
{
var imageSystemId = requestSystemIds[requestIndex];
var labels = res.LabelAnnotations.Select(a => a.Description);
var landmarks = res.LandmarkAnnotations.Select(a => a.Description);
requestIndex++;
yield return(new AnalysisResponse()
{
SystemId = imageSystemId, Tags = landmarks.Concat(labels)
});
}
requests.Clear();
requestSystemIds.Clear();
}
public static int Main(string[] args)
{
// Create client
ImageAnnotatorClient client = ImageAnnotatorClient.Create();
// Initialize request argument(s)
IEnumerable <AnnotateImageRequest> requests = new[]
{
new AnnotateImageRequest
{
Image = new Image
{
Source = new ImageSource
{
GcsImageUri = "gs://cloud-samples-data/vision/face_detection/celebrity_recognition/sergey.jpg",
},
},
Features =
{
new Feature
{
Type = Feature.Types.Type.FaceDetection,
},
},
},
};
// Call API method
BatchAnnotateImagesResponse response = client.BatchAnnotateImages(requests);
// Show the result
Console.WriteLine(response);
// Success
Console.WriteLine("Smoke test passed OK");
return(0);
}
public static int Main(string[] args)
{
// Create client
ImageAnnotatorClient client = ImageAnnotatorClient.Create();
// Initialize request argument(s)
IEnumerable <AnnotateImageRequest> requests = new[]
{
new AnnotateImageRequest
{
Image = new Image
{
Source = new ImageSource
{
GcsImageUri = "gs://gapic-toolkit/President_Barack_Obama.jpg",
},
},
Features =
{
new Feature
{
Type = Feature.Types.Type.FaceDetection,
},
},
},
};
// Call API method
BatchAnnotateImagesResponse response = client.BatchAnnotateImages(requests);
// Show the result
Console.WriteLine(response);
// Success
Console.WriteLine("Smoke test passed OK");
return(0);
}
public static Dictionary <string, List <TagSuggestion> > RequestBatchVisionAnalysis(IEnumerable <string> paths)
{
if (client == null)
{
SetVisionAuthViaDialog();
}
if (client == null)
{
return(new Dictionary <string, List <TagSuggestion> >());
}
var result = new Dictionary <string, List <TagSuggestion> >();
var req = new List <AnnotateImageRequest>();
var imageFilePaths = new List <string>(paths);
for (int i = 0; i < imageFilePaths.Count; i++)
{
var reqItem = new AnnotateImageRequest();
reqItem.Image = Image.FromFile(imageFilePaths[i]);
reqItem.AddAllFeatures();
req.Add(reqItem);
}
try
{
var batchResponse = client.BatchAnnotateImages(req);
for (int i = 0; i < imageFilePaths.Count; i++)
{
var res = batchResponse.Responses[i];
result.Add(imageFilePaths[i], ParseAnnotations(res));
}
}
catch (Exception e)
{
MessageBox.Show($"vision API has encountered an error: \n\n {e}");
}
return(result);
}