public void AnnotateImagesTest_InvalidAPIKey()
{
ImageFeatures feature = new ImageFeatures(ImageType.LABEL_DETECTION, MAX_RESULTS, VALID_MODEL);
imageFeaturesList.Add(feature);
AnnotateImageRequest imageRequest = GenerateImageRequest(VALID_IMAGE_URL, imageFeaturesList);
AnnotateImageRequestList imageRequestList = new AnnotateImageRequestList(new List <AnnotateImageRequest>()
{
imageRequest
});
imageIntelligence.UpdateKey(INVALID_SETUP);
Task <Tuple <AnnotateImageResponseList, ResponseStatus> > responses = imageIntelligence.AnnotateImages(imageRequestList);
responses.Wait();
imageIntelligence.UpdateKey(VALID_SETUP);
Assert.IsNull(responses.Result.Item1);
Assert.AreSame(responses.Result.Item2, ImageAnnotationStatus.INVALID_API_KEY);
imageRequestList.Requests.Clear();
}
public void AnnotateImagesTest_ValidRequestWithTextDetection()
{
ImageFeatures feature = new ImageFeatures(ImageType.TEXT_DETECTION, MAX_RESULTS, VALID_MODEL);
imageFeaturesList.Add(feature);
AnnotateImageRequest imageRequest = GenerateImageRequest(TEXT_DETECTION_URL_1, imageFeaturesList);
AnnotateImageRequestList imageRequestList = new AnnotateImageRequestList(new List <AnnotateImageRequest>()
{
imageRequest
});
Task <Tuple <AnnotateImageResponseList, ResponseStatus> > response = imageIntelligence.AnnotateImages(imageRequestList);
response.Wait();
AnnotateImageResponseList responseList = response.Result.Item1;
Assert.IsNotNull(responseList);
Assert.AreSame(response.Result.Item2, ImageAnnotationStatus.OK);
Assert.GreaterOrEqual(responseList.Responses.Count, 1);
for (int i = 0; i < responseList.Responses.Count; i++)
{
Assert.IsNotNull(responseList.Responses[i].TextAnnotations);
Assert.GreaterOrEqual(responseList.Responses[i].TextAnnotations.Count, 1);
Assert.IsNotNull(responseList.Responses[i].FullTextAnnotations);
Assert.IsNotNull(responseList.Responses[i].FullTextAnnotations.Text);
Assert.GreaterOrEqual(responseList.Responses[i].FullTextAnnotations.Pages.Count, 1);
}
imageRequestList.Requests.Clear();
}
public void AnnotateImagesTest_ValidRequestWithImageProperties()
{
ImageFeatures feature = new ImageFeatures(ImageType.IMAGE_PROPERTIES, MAX_RESULTS, VALID_MODEL);
imageFeaturesList.Add(feature);
AnnotateImageRequest imageRequest = GenerateImageRequest(VALID_IMAGE_URL, imageFeaturesList);
AnnotateImageRequestList imageRequestList = new AnnotateImageRequestList(new List <AnnotateImageRequest>()
{
imageRequest
});
Task <Tuple <AnnotateImageResponseList, ResponseStatus> > response = imageIntelligence.AnnotateImages(imageRequestList);
response.Wait();
AnnotateImageResponseList responseList = response.Result.Item1;
Assert.IsNotNull(responseList);
Assert.AreSame(response.Result.Item2, ImageAnnotationStatus.OK);
Assert.GreaterOrEqual(responseList.Responses.Count, 1);
for (int i = 0; i < responseList.Responses.Count; i++)
{
Assert.IsNotNull(responseList.Responses[i].ImagePropertiesAnnotation);
Assert.IsNotNull(responseList.Responses[i].ImagePropertiesAnnotation.DominantColors);
Assert.GreaterOrEqual(responseList.Responses[i].ImagePropertiesAnnotation.DominantColors.Colors.Count, 1);
}
imageRequestList.Requests.Clear();
}
public void AnnotateImagesTest_OneValidAndOneInvalidImageURL()
{
ImageFeatures feature = new ImageFeatures(ImageType.LANDMARK_DETECTION, MAX_RESULTS, VALID_MODEL);
imageFeaturesList.Add(feature);
AnnotateImageRequest imageRequest1 = GenerateImageRequest(IMAGE_URL, imageFeaturesList);
AnnotateImageRequest imageRequest2 = GenerateImageRequest(LANDMARK_ANNOTATION_URL_1, imageFeaturesList);
AnnotateImageRequestList imageRequestList =
new AnnotateImageRequestList(new List <AnnotateImageRequest>()
{
imageRequest1, imageRequest2
});
Task <Tuple <AnnotateImageResponseList, ResponseStatus> > responses = imageIntelligence.AnnotateImages(imageRequestList);
responses.Wait();
Assert.IsNotNull(responses.Result.Item1);
AnnotateImageResponseList responseList = responses.Result.Item1;
Assert.AreEqual(responseList.Responses.Count, 2);
Assert.IsNotNull(responseList.Responses[0].Error);
Assert.IsNotNull(responseList.Responses[0].Error.Message);
Assert.IsNotEmpty(responseList.Responses[0].Error.Message);
Assert.IsNotNull(responseList.Responses[1].LandmarkAnnotations);
Assert.GreaterOrEqual(responseList.Responses[1].LandmarkAnnotations.Count, 1);
imageRequestList.Requests.Clear();
}
private static float[] ToArray(this ImageFeatures features)
{
return(new[]
{
features.ChromatedPixelsRatio,
features.EdgePixelsRatio,
features.SaturationMean,
features.SaturationStddev,
features.ValueMean,
features.ValueStddev,
});
}
public static ImageFeatures CalculateFeatures(this Mat mat, Contour contour, bool isOccupied)
{
var hsvColorStats = ImageProcessor.GetHSVColorStats(contour, mat);
var features = new ImageFeatures
{
IsOccupied = isOccupied,
// counted edges and Chromated pixels
EdgePixels = ImageProcessor.CountEdgePixels(contour, mat),
ChromatedPixels = ImageProcessor.CountChromatedPixels(contour, mat),
MaskPixels = ImageProcessor.CountMaskArea(contour, mat),
//hsv stats
SaturationMean = hsvColorStats.Item1.Item1,
SaturationStddev = hsvColorStats.Item1.Item2,
ValueMean = hsvColorStats.Item2.Item1,
ValueStddev = hsvColorStats.Item2.Item2
};
return(features);
}
public void AnnotateImagesTest_SingleInvalidImageURL()
{
ImageFeatures feature = new ImageFeatures(ImageType.LABEL_DETECTION, MAX_RESULTS, VALID_MODEL);
imageFeaturesList.Add(feature);
AnnotateImageRequest imageRequest = GenerateImageRequest(IMAGE_URL, imageFeaturesList);
AnnotateImageRequestList imageRequestList = new AnnotateImageRequestList(new List <AnnotateImageRequest>()
{
imageRequest
});
Task <Tuple <AnnotateImageResponseList, ResponseStatus> > responses = imageIntelligence.AnnotateImages(imageRequestList);
responses.Wait();
Assert.IsNotNull(responses.Result.Item1);
Assert.IsNotNull(responses.Result.Item1.Responses[0].Error);
Assert.IsNotNull(responses.Result.Item1.Responses[0].Error.Message);
Assert.IsNotEmpty(responses.Result.Item1.Responses[0].Error.Message);
imageRequestList.Requests.Clear();
}
public void AnnotateImagesTest_ValidRequestWithMultipleAnnotations()
{
ImageFeatures feature = new ImageFeatures(ImageType.LANDMARK_DETECTION, MAX_RESULTS, VALID_MODEL);
imageFeaturesList.Add(feature);
AnnotateImageRequest imageRequest1 = GenerateImageRequest(LANDMARK_ANNOTATION_URL_1, imageFeaturesList);
AnnotateImageRequestList imageRequestList =
new AnnotateImageRequestList(new List <AnnotateImageRequest>()
{
imageRequest1
});
feature = new ImageFeatures(ImageType.FACE_DETECTION, MAX_RESULTS, VALID_MODEL);
imageFeaturesList.Add(feature);
AnnotateImageRequest imageRequest2 = GenerateImageRequest(FACE_ANNOTATION_URL, imageFeaturesList);
imageRequestList.Requests.Add(imageRequest2);
Task <Tuple <AnnotateImageResponseList, ResponseStatus> > response = imageIntelligence.AnnotateImages(imageRequestList);
response.Wait();
AnnotateImageResponseList responseList = response.Result.Item1;
Assert.IsNotNull(responseList);
Assert.AreSame(response.Result.Item2, ImageAnnotationStatus.OK);
Assert.AreEqual(responseList.Responses.Count, 2);
Assert.IsNotNull(responseList.Responses[0].LandmarkAnnotations);
Assert.GreaterOrEqual(responseList.Responses[0].LandmarkAnnotations.Count, 1);
Assert.IsNotNull(responseList.Responses[1].FaceAnnotations);
Assert.GreaterOrEqual(responseList.Responses[1].FaceAnnotations.Count, 1);
imageRequestList.Requests.Clear();
}
public static Mat ToPredictionMat(this ImageFeatures features)
{
var array = features.ToArray();
return(new Mat(1, array.Length, MatType.CV_32FC1, array));
}
public bool Predict(ImageFeatures imageFeatures)
{
return(Convert.ToBoolean(_svm.Predict(imageFeatures.ToPredictionMat())));
}