public async Task <ActionResult> Step2FromSample()
{
string Url = Request.Url.Scheme + "://" + Request.Url.Authority + "/Content/img/sampledesigns/" + Request.Url.Segments[Request.Url.Segments.Length - 1] + ".jpg";
byte[] buffer;
var webRequest = WebRequest.Create(Url);
using (var response = webRequest.GetResponse())
using (var content = response.GetResponseStream())
{
var img = Image.FromStream(content);
MemoryStream ms = new MemoryStream();
img.Save(ms, System.Drawing.Imaging.ImageFormat.Jpeg);
buffer = ms.ToArray();
}
//Optimize size and quality for best performance
buffer = ImageHelper.OptimizeImage(buffer, 100, 40);
//generate correlationid
var correlationID = Guid.NewGuid().ToString();
//save the file on the storage
var objectDetector = new ObjectDetectionAppService();
await objectDetector.SaveResults(buffer, correlationID, "original.png");
//Jump directly to progress
return(View("step3", new ContentViewModel {
CorrelationId = correlationID
}));
}
public static async Task <HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequestMessage req, TraceWriter log)
{
//Get image byte array from request
var content = await req.Content.ReadAsByteArrayAsync();
if (content == null || content.Length == 0)
{
return(req.CreateResponse(HttpStatusCode.BadRequest, "Request content is empty."));
}
else
{
log.Info($"found binary content->Size: {content.Length} bytes");
}
//Use correlationId to identify each session and results
var correlationID = req.GetCorrelationId().ToString();
//Pass byte array to object detector app service
var objectDetector = new ObjectDetectionAppService();
var result = await objectDetector.GetPredictionAsync(content);
if (result != null)
{
await objectDetector.SaveResults(result, correlationID);
await objectDetector.SaveResults(content, correlationID, "original.png");
await objectDetector.SaveResults(content.DrawRectangle(result), correlationID, "predicted.png");
byte[] jsonContent = Encoding.UTF8.GetBytes(JsonConvert.SerializeObject(result));
await objectDetector.SaveResults(jsonContent, correlationID, "results.json");
}
return(req.CreateResponse(HttpStatusCode.OK, correlationID));
}
private static async Task saveResults2(string correlationId, ObjectDetectionAppService objectDetector, GroupBox groupBox, string html)
{
//TODO: Store this as Text
await objectDetector.SaveResults(Encoding.UTF8.GetBytes(JsonConvert.SerializeObject(groupBox)), correlationId, "groups.json");
await objectDetector.SaveHtmlResults(html, correlationId, "generated.html");
}
private static async Task saveResults(string correlationId, ObjectDetectionAppService objectDetector, byte[] content, System.Collections.Generic.IList <Core.Entities.PredictedObject> result, byte[] jsonContent)
{
//TODO: Skip this once we generate online slices
await objectDetector.SaveResults(result, correlationId);
await objectDetector.SaveResults(content.DrawRectangle(result), correlationId, "predicted.png");
//TODO: Store this as Text
await objectDetector.SaveResults(jsonContent, correlationId, "results.json");
}
public async Task <JsonResult> SaveFile()
{
var data = Request["imgBase64"];
var folderId = Request["folderId"];
byte[] content = Convert.FromBase64String(data);
var objectDetector = new ObjectDetectionAppService();
await objectDetector.SaveResults(content, folderId, "html.png");
return(Json(new { folderId = folderId }));
}
public async Task <ActionResult> Step2()
{
byte[] buffer = null;
HttpPostedFileBase file = Request.Files["imageData"];
//file or base64 content
if (file == null) //check if image is submitted as base64
{
var image = Request["imageData"];
if (!String.IsNullOrWhiteSpace(image))
{
buffer = Convert.FromBase64String(image);
}
else
{
throw new ApplicationException("No file or base64 content found");
}
}
else
{
buffer = new byte[file.ContentLength];
using (var ms = new MemoryStream())
{
await file.InputStream.CopyToAsync(ms);
buffer = ms.ToArray();
}
}
//Optimize size and quality for best performance
buffer = ImageHelper.OptimizeImage(buffer, 100, 40);
//generate correlationid
var correlationID = Guid.NewGuid().ToString();
//save the file on the storage
var objectDetector = new ObjectDetectionAppService();
await objectDetector.SaveResults(buffer, correlationID, "original.png");
//Jump directly to progress
return(View("step3", new ContentViewModel {
CorrelationId = correlationID
}));
}
public async Task <JsonResult> callBackEnd(string correlationId)
{
//Pass byte array to object detector app service
var objectDetector = new ObjectDetectionAppService();
byte[] content = await objectDetector.GetFile(correlationId, "original.png");
var html = "";
var result = await objectDetector.GetPredictionAsync(content);
if (result != null)
{
byte[] jsonContent = Encoding.UTF8.GetBytes(JsonConvert.SerializeObject(result));
await saveResults(correlationId, objectDetector, content, result, jsonContent);
var groupBox = await objectDetector.CreateGroupBoxAsync(result);
html = this.RenderViewToString2 <GroupBox>("/Views/Layout/RawGroupBox2.cshtml", groupBox);
await saveResults2(correlationId, objectDetector, groupBox, html);
}
return(Json(new { id = correlationId, generatedHtml = html }));
}
