64 lines
2.2 KiB
C#
64 lines
2.2 KiB
C#
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using System;
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using System.Threading.Tasks;
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using Azure.Storage.Blobs.Models;
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using Microsoft.Azure.CognitiveServices.Vision.ComputerVision;
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using Microsoft.Azure.CognitiveServices.Vision.ComputerVision.Models;
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using OpenCvSharp;
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using squirrowse.core;
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using squirrowse.db;
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namespace squirrowse.web.Cognitive
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{
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public class AzureCV : IAzureCV
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{
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private readonly Bloob _blob;
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private readonly ComputerVisionClient _client;
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private readonly DbContext _db;
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public AzureCV(DbContext db, Bloob blob)
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{
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_blob = blob;
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_db = db;
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_client = new ComputerVisionClient(new ApiKeyServiceClientCredentials("64b5ed98d11d41b395e270424088ec83"))
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{
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Endpoint =
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"https://squirrowse.cognitiveservices.azure.com/"
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};
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}
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public async Task<DetectResult> GetObjects(Mat frame)
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{
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var response = await _client.DetectObjectsInStreamAsync(frame.ToMemoryStream());
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var blobref =
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_blob.Container.GetBlobClient(
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$"{DateTime.Now.ToShortDateString()}-{DateTime.Now.ToLongTimeString()}.png");
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await blobref.UploadAsync(frame.ToMemoryStream(), new BlobHttpHeaders {ContentType = "image/png"});
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var t = new Frame(frame, response.Objects, blobref.Uri);
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_db.GetFrameCollection.Insert(t);
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return response;
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}
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public Task<Mat> DrawResults(Mat frame, DetectResult results)
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{
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foreach (var result in results.Objects)
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{
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Cv2.PutText(frame, result.ObjectProperty.ToUpper(),
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new Point(result.Rectangle.X, result.Rectangle.Y + result.Rectangle.H * 0.9),
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HersheyFonts.HersheyComplex, 0.9f, Scalar.Yellow);
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frame.Rectangle(
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new Rect(result.Rectangle.X, result.Rectangle.Y, result.Rectangle.W, result.Rectangle.H),
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Scalar.White, 2);
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}
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return Task.FromResult(frame);
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}
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public async Task<ImageDescription> GetDescription(Mat frame)
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{
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return await _client.DescribeImageInStreamAsync(frame.ToMemoryStream());
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}
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}
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}
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