public static async Task Run(
[BlobTrigger("images/{name}")] Stream trigger,
[Queue("Handwriting")] ICollector <string> queueItem,
string name,
TraceWriter log)
{
log.Info("Start");
using (HttpContent content = new StreamContent(trigger))
{
var parameters = "recognizeText?handwriting=true";
var response = await CognitiveServicesHttpClient.PostVisionRequest(content, parameters);
if (response.IsSuccessStatusCode)
{
var operationLocation = response.Headers.GetValues("Operation-Location").FirstOrDefault();
var request = new HandwritingRequest
{
Key = name,
OperationLocation = operationLocation
};
var json = JSONHelper.ToJson(request);
queueItem.Add(json);
}
}
log.Info("Finish");
}
public static async Task Run(
[BlobTrigger("images/{name}")] Stream trigger,
[Table("images")] CloudTable cloudTable,
string name,
TraceWriter log)
{
log.Info("Start");
using (HttpContent content = new StreamContent(trigger))
{
var parameters = "detect" +
"?returnFaceId=true" +
"&returnFaceLandmarks=true" +
"&returnFaceAttributes=age,gender,smile,facialHair,headPose,glasses,emotion,hair,makeup,accessories,blur,exposure,noise";
var response = await CognitiveServicesHttpClient.PostFaceRequest(content, parameters);
if (response.IsSuccessStatusCode)
{
var responseBytes = await response.Content.ReadAsStringAsync();
await cloudTable.Update(name, responseBytes, (image, text) =>
{
image.Faces = text;
});
}
}
log.Info("Finish");
}
public static async Task Run(
[BlobTrigger("images/{name}")] Stream trigger,
[Table("images")] CloudTable cloudTable,
string name,
TraceWriter log)
{
log.Info("Start");
using (HttpContent content = new StreamContent(trigger))
{
var parameters = "describe" +
"?maxCandidates=1";
var response = await CognitiveServicesHttpClient.PostVisionRequest(content, parameters);
if (response.IsSuccessStatusCode)
{
var responseBytes = await response.Content.ReadAsStringAsync();
await cloudTable.Update(name, responseBytes, (image, text) =>
{
image.Description = text;
});
}
}
log.Info("Finish");
}
public static async Task Run(
[BlobTrigger("images/{name}")] Stream trigger,
[Blob("thumbnails/{name}", FileAccess.ReadWrite)] ICloudBlob thumbnail,
[Table("images")] CloudTable cloudTable,
string name,
TraceWriter log
)
{
log.Info("Start");
using (HttpContent content = new StreamContent(trigger))
{
var parameters = "generateThumbnail?width=200&height=150&smartCropping=true";
var response = await CognitiveServicesHttpClient.PostVisionRequest(content, parameters);
if (response.IsSuccessStatusCode)
{
var responseBytes = await response.Content.ReadAsStreamAsync();
await thumbnail.UploadFromStreamAsync(responseBytes);
await cloudTable.Update(name, thumbnail.Uri.AbsoluteUri, (image, text) =>
{
image.ThumbUri = text;
});
}
}
log.Info("Finish");
}
public static async Task Run(
[BlobTrigger("images/{name}")] Stream trigger,
[Table("images")] CloudTable cloudTable,
[Blob("faces/{name}", FileAccess.ReadWrite)] ICloudBlob faceOutput,
string name,
TraceWriter log)
{
var analyseStream = new MemoryStream();
trigger.CopyTo(analyseStream);
using (var ms = new MemoryStream())
{
trigger.Position = 0;
trigger.CopyTo(ms);
ms.Position = 0;
using (HttpContent content = new StreamContent(ms))
{
var parameters = "analyze" +
"?visualFeatures=Categories,Tags,Description,Faces,ImageType,Color,Adult" +
"&details=Celebrities,Landmarks";
var response = await CognitiveServicesHttpClient.PostVisionRequest(content, parameters);
if (response.IsSuccessStatusCode)
{
var responseBytes = await response.Content.ReadAsStringAsync();
await cloudTable.Update(name, responseBytes, (image, text) => { image.Analyse = text; });
var describe = JSONHelper.FromJson <Analyse>(responseBytes);
if (describe.Faces.Any())
{
try
{
using (var bitmap = new Bitmap(analyseStream))
{
using (var graph = Graphics.FromImage(bitmap))
{
var outline = new Pen(Brushes.Red, 2);
var text = new Pen(Color.White, 2);
foreach (var face in describe.Faces)
{
graph.DrawRectangle(outline, face.FaceRectangle.Left, face.FaceRectangle.Top, face.FaceRectangle.Width, face.FaceRectangle.Height);
var font = new Font(FontFamily.GenericSerif, 16, FontStyle.Bold);
graph.DrawString($"{face.Gender} {face.Age}", font, text.Brush, face.FaceRectangle.Left, face.FaceRectangle.Top);
}
}
var outputStream = new MemoryStream();
bitmap.Save(outputStream, ImageFormat.Jpeg);
outputStream.Position = 0;
await faceOutput.UploadFromStreamAsync(outputStream);
await cloudTable.Update(name, faceOutput.Uri.AbsoluteUri, (image, text) => { image.FaceUri = text; });
}
}
catch (Exception ex)
{
}
}
}
}
}
log.Info("Finish");
}