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using Hawkeye.VisionBuilder.Workflow.Datatypes.Elements.Origin;
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using Hawkeye.VisionBuilder.Workflow.Datatypes.Elements.Poly;
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using Hawkeye.VisionBuilder.Workflow.Datatypes.Elements.Rectangle;
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using Hawkeye.VisionBuilder.Workflow.Operations.Attributes;
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using OpenCvSharp;
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using Point = OpenCvSharp.Point;
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namespace Hawkeye.VisionBuilder.Workflow.Operations;
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[Category("Simple/Blobs")]
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public class FindManyBlobsOperation:BaseOperation
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{
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private readonly WorkflowList _workflowList;
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public int MinArea { get; set; } = 100;
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public int MaxArea { get; set; } = 99999;
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public int MinRadius { get; set; } = 0;
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public int MaxRadius { get; set; } = 99999;
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public Guid ReferenceId { get; set; } = new Guid();
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public RectangleElement SearchArea { get; set; }
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//processing result of current element
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public FindManyBlobsOperation(WorkflowList workflowList)
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{
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_workflowList = workflowList;
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SearchArea = new RectangleElement()
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{
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Editable = true,
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Location = Vector2.One * 100,
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Size = Vector2.One * 100,
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IsGood = true
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};
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}
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public record ContourMatch(Point[] c, int area, int radius)
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{
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public override string ToString()
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{
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return $"{{area={area}, radius={radius}}}";
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}
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}
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protected override void InterpretInternal(Context context)
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{
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Result = true;
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if (!CheckImageExists(context)) return;
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if (!CheckGrayscale(context)) return;
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if (SearchArea==null)
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{
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SearchArea = new RectangleElement()
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{
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Editable = true,
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Location = Vector2.Zero,
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Size = new Vector2(context.ActiveImage.ImageData.Width, context.ActiveImage.ImageData.Height),
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IsGood = true
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};
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}
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SearchArea.MovePivot(_workflowList.GetOriginById(ReferenceId).Origin.Location);
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var img = context.ActiveImage.ImageData;
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var mat = new Mat(img.Size(), img.Type(), Scalar.Black);
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SearchArea.FillMat(mat);
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var contoursMat = img.BitwiseAnd(mat).ToMat();
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var contours = contoursMat.Threshold(128, 255, ThresholdTypes.Binary)
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.FindContoursAsArray(RetrievalModes.List, ContourApproximationModes.ApproxSimple);
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context.GraphicsElements.Add(SearchArea);
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//case: no blobs found
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if (contours.Length == 0)
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{
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Status = "No blobs found";
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SearchArea.IsGood = true;
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return;
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}
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int GetContourRadius(Point[] contour)
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{
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Cv2.MinEnclosingCircle(contour, out var center, out var radius);
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return (int)radius;
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}
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//case: blobs found but not matching criteria
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var contour = contours.Select(x => new ContourMatch(x, (int)Cv2.ContourArea(x), GetContourRadius(x)))
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.OrderBy(x => Math.Min(Math.Abs(x.area - MinArea), Math.Abs(x.area - MaxArea))).ToList();
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var match = contour.Where(x => x.c.Length > 1)
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.Where(x => x.area >= MinArea && x.area <= MaxArea)
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.Where(x => x.radius >= MinRadius && x.radius <= MaxRadius).ToList();
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int badCount = 0;
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foreach (ContourMatch contourMatch in match)
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{
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PolyElement poly = new PolyElement() { IsGood = false };
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poly.Points = contourMatch.c.Select(x => new Vector2(x.X, x.Y)).ToArray();
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context.GraphicsElements.Add(poly);
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badCount++;
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}
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if (badCount > 0)
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{
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Status = $"Found: {badCount} First: {match.First().ToString()}";
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Result = false;
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SearchArea.IsGood = false;
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return;
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}
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SearchArea.IsGood = true;
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Status = $"Best: {contour.First().ToString()}";
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Result = true;
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}
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public override void SetParameters(Dictionary<string, object> parameters)
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{
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base.SetParameters(parameters);
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SearchArea.SetPivot(_workflowList.GetOriginById(ReferenceId).Origin.Location);
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}
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public override void Save(BinaryWriter bw)
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{
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bw.Write(Id.ToString());
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bw.Write(Label);
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bw.Write(MinArea);
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bw.Write(MaxArea);
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bw.Write(MinRadius);
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bw.Write(MaxRadius);
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bw.Write(ReferenceId.ToString());
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SearchArea.Save(bw);
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}
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public override void Load(BinaryReader br)
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{
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Id = new Guid(br.ReadString());
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Label = br.ReadString();
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MinArea = br.ReadInt32();
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MaxArea = br.ReadInt32();
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MinRadius = br.ReadInt32();
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MaxRadius = br.ReadInt32();
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ReferenceId = new Guid(br.ReadString());
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SearchArea.Load(br);
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}
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}
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