static Bitmap SmartCropImage(Bitmap sourceImage)
{
VisionServiceClient VisionServiceClient = ComputerVisionService.GetClient();
using (MemoryStream memoryStream = new MemoryStream())
{
sourceImage.SaveAsPng(memoryStream);
memoryStream.Position = 0;
int width = sourceImage.Width;
int height = (int)(sourceImage.Width / 16.0f * 9.0f * 1.2f); // Set it to a 16:9 with an extra 20% to increase the overall size
Console.WriteLine("Original Width: " + sourceImage.Width + " Original Height: " + sourceImage.Height + " Cropped Height: " + height);
if (sourceImage.Height > height)
{
Console.WriteLine("Calling VisionServiceClient.GetThumbnailAsync()...");
byte[] bytes = VisionServiceClient.GetThumbnailAsync(memoryStream, width, height).GetAwaiter().GetResult();
Bitmap croppedImage = Image.Load(bytes);
return(croppedImage);
}
else
{
Console.WriteLine("Image was already small. No reason to crop");
return(sourceImage);
}
}
}
public static AnalysisResult AnalyzeImage(Bitmap sourceImage)
{
VisionServiceClient VisionServiceClient = ComputerVisionService.GetClient();
using (MemoryStream memoryStream = new MemoryStream())
{
sourceImage.SaveAsPng(memoryStream);
memoryStream.Position = 0;
Console.WriteLine("Calling VisionServiceClient.AnalyzeImageAsync()...");
VisualFeature[] visualFeatures = new VisualFeature[] {
VisualFeature.Adult,
VisualFeature.Color,
VisualFeature.Description,
VisualFeature.ImageType
};
try
{
AnalysisResult analysisResult = VisionServiceClient.AnalyzeImageAsync(memoryStream, visualFeatures).GetAwaiter().GetResult();
return(analysisResult);
}
catch (Microsoft.ProjectOxford.Vision.ClientException exception)
{
Console.WriteLine(exception.Error.Message);
Console.WriteLine(exception.Error.Code);
throw exception;
}
}
}
public static AnalysisBlob GetAnalysisBlob(Bitmap image)
{
AnalysisBlob analysisBlob = new AnalysisBlob();
analysisBlob.generalAnalysisResult = ComputerVisionService.AnalyzeImage(image);
analysisBlob.ocrAnalysisResult = ComputerVisionService.AnalyzeText(image);
return(analysisBlob);
}
public static OcrResults AnalyzeText(Bitmap sourceImage)
{
Microsoft.ProjectOxford.Vision.VisionServiceClient visionServiceClient = ComputerVisionService.GetClient();
using (MemoryStream memoryStream = new MemoryStream())
{
sourceImage.SaveAsPng(memoryStream);
memoryStream.Position = 0;
Console.WriteLine("Calling VisionServiceClient.RecognizeTextAsyncs()...");
return(visionServiceClient.RecognizeTextAsync(memoryStream).GetAwaiter().GetResult());
}
}
public static CelebrityAnalysisResult AnalyzeImageForCelebrities(Bitmap sourceImage)
{
VisionServiceClient VisionServiceClient = ComputerVisionService.GetClient();
using (MemoryStream memoryStream = new MemoryStream())
{
sourceImage.SaveAsPng(memoryStream);
memoryStream.Position = 0;
Console.WriteLine("Calling VisionServiceClient.AnalyzeImageInDomainAsync()...");
// This is how you'd recognize celebrities like Henry Clay
Microsoft.ProjectOxford.Vision.Contract.AnalysisInDomainResult result = VisionServiceClient.AnalyzeImageInDomainAsync(memoryStream, "celebrities").GetAwaiter().GetResult();
Newtonsoft.Json.Linq.JObject jsonObj = result.Result as Newtonsoft.Json.Linq.JObject;
CelebrityAnalysisResult celebResult = jsonObj.ToObject <CelebrityAnalysisResult>() as CelebrityAnalysisResult;
return(celebResult);
}
}
static void CreateAppraisals(PostToTwitterMode postToTwitterMode, int numberOfAppraisals)
{
Console.WriteLine("Getting collection listing");
Art art = new Art(new IArtSource[] { new HarvardArtMuseum(), new MetropolitanMuseumOfArt() });
IEnumerable <Art.Object> responseObjects = art.GetRandomObjects(numberOfAppraisals);
Console.WriteLine("Found " + responseObjects.Count() + " results");
int objectCounter = 0;
foreach (Art.Object responseObject in responseObjects)
{
Console.WriteLine("-----------------------------------------------------------------------");
string imageUrl = responseObject.imageURL;
Console.WriteLine("image url: " + imageUrl);
string fullListingURL = responseObject.listingURL;
Console.WriteLine("Listing page: " + fullListingURL);
Bitmap originalImage = Web.DownloadImage(imageUrl);
if (originalImage != null)
{
Bitmap resizedImage = ImageTransforms.ResizeToWithinAnalysisLimits(originalImage);
if (Directory.Exists("images"))
{
string originalDestinationFilePath = @"images/sourceImage" + objectCounter + ".jpg";
originalImage.Save(originalDestinationFilePath);
string resizedDestinationFilePath = @"images/resizedImage" + objectCounter + ".jpg";
resizedImage.Save(resizedDestinationFilePath);
}
ComputerVisionService.AnalysisBlob analysisBlob = ComputerVisionService.GetAnalysisBlob(resizedImage);
string tagString = "";
foreach (string tag in analysisBlob.generalAnalysisResult.Description.Tags)
{
tagString += tag + ", ";
}
Console.WriteLine("Tags: " + tagString);
string accentColor = ColorTable.GetClosestColorName(analysisBlob.generalAnalysisResult.Color.AccentColor);
Console.WriteLine("Foreground: " + analysisBlob.generalAnalysisResult.Color.DominantColorForeground + " Background: " + analysisBlob.generalAnalysisResult.Color.DominantColorBackground + " Accent: " + accentColor);
if (analysisBlob.generalAnalysisResult.Categories != null)
{
string categoryString = "";
foreach (Category category in analysisBlob.generalAnalysisResult.Categories)
{
categoryString += category.Name + ", ";
}
Console.WriteLine("Categories: " + categoryString);
}
Appraisal appraisal = CreateAppraisal(originalImage, analysisBlob);
string tweetableText = GetTweetableText(appraisal.comment, responseObject.listingURL, responseObject.artSourceHashTag);
if (Directory.Exists("images"))
{
string destinationFilePath = @"images/finalImage" + objectCounter + ".jpg";
appraisal.image.Save(destinationFilePath);
using (StreamWriter file = File.CreateText(@"images/comment" + objectCounter + ".txt"))
{
file.WriteLine(tweetableText);
}
}
if (postToTwitterMode == PostToTwitterMode.Yes)
{
TweetAppraisal(appraisal.image, tweetableText);
}
}
objectCounter++;
}
}