Files
HawkeyeVision/Hawkeye.VisionBuilder.Workflow/Operations/AI/RawModelAIOperation.cs
2025-08-28 16:30:29 +02:00

165 lines
4.5 KiB
C#

using Hawkeye.VisionBuilder.Workflow.Datatypes;
using OpenCvSharp;
using System.Runtime.InteropServices;
using Hawkeye.VisionBuilder.Workflow.Operations.Attributes;
using Hawkeye.VisionBuilder.Workflow.DataTransfer;
namespace Hawkeye.VisionBuilder.Workflow.Operations.AI;
[Category("AI")]
public class RawModelAIOperation: BaseOperation
{
private string _modelName;
public RawModelAIOperation()
{
CanHaveProcessingError = false;
}
private CSharpDataTransferHTTP _cSharpDataTransferMQRPC;
private int _imageWidth;
private int _imageHeight;
public string FilterClasses { get; set; } = "1";
private bool _initialized = false;
private FilePath _modelFilePath=new FilePath();
public FilePath ModelFilePath
{
get => _modelFilePath;
set
{
_modelFilePath = value;
_initialized = false;
}
}
public bool IsCategorical { get; set; }
protected override void InterpretInternal(Context context)
{
_cSharpDataTransferMQRPC = PythonModelProxyHTTP.GetInterface();
if (!CheckImageExists(context)) return;
if (!CheckColorful(context)) return;
if (!_initialized)
{
if (!File.Exists(ModelFilePath?.Path))
{
this.SetError($"Model file \"{ModelFilePath?.Path}\" not found");
return;
}
_modelName = Path.GetFileNameWithoutExtension(ModelFilePath.Path);
// is relative path
if (ModelFilePath.Path.StartsWith("."))
{
var dir = Directory.GetCurrentDirectory();
var absPath = Path.GetFullPath(Path.Combine(dir, ModelFilePath.Path));
ModelFilePath.Path = absPath;
}
_cSharpDataTransferMQRPC.LoadModel(ModelFilePath.Path, _modelName);
_initialized = true;
}
_cSharpDataTransferMQRPC.ActivateModel(_modelName);
int[] sizeEncoded=[];
int[] outputSize = [];
sizeEncoded = _cSharpDataTransferMQRPC.GetAcceptSize();
outputSize = _cSharpDataTransferMQRPC.GetOutputSize();
var currentImage = context.ActiveImage;
var rightColor = currentImage.ImageData.CvtColor(ColorConversionCodes.BGR2RGB);
var size = sizeEncoded.Select(Convert.ToInt32).ToArray();
_imageWidth = size[0];
_imageHeight = size[1];
var resized = rightColor.Resize(new Size(_imageHeight, _imageWidth));
int dataSize = resized.Rows * resized.Cols * resized.ElemSize();
var byteArray = new byte[dataSize];
Marshal.Copy(resized.Data, byteArray, 0, dataSize);
var result = _cSharpDataTransferMQRPC.PredictRaw(byteArray);
byte[] resultColor;
resultColor = result.Select(x => (byte)(x) ).ToArray();
var outputSizeArray = outputSize.Select(Convert.ToInt32).ToArray();
var mask = new Mat(outputSizeArray[0], outputSizeArray[1], MatType.CV_8UC1, resultColor);
var maskResized = mask.Resize(new Size(currentImage.ImageData.Width, currentImage.ImageData.Height));
context.ActiveImage = new HawkeyeImage() { ImageData = maskResized };
Result = true;
}
public override void Save(BinaryWriter bw)
{
base.Save(bw);
bw.Write(_modelFilePath.Path);
bw.Write(_modelFilePath.Format);
bw.Write(FilterClasses);
bw.Write(IsCategorical);
}
public override void Load(BinaryReader br)
{
base.Load(br);
_modelFilePath.Path = br.ReadString();
_modelFilePath.Format = br.ReadString();
FilterClasses = br.ReadString();
IsCategorical = br.ReadBoolean();
}
public override void Save(Dictionary<string, object> dict)
{
base.Save(dict);
dict[nameof(ModelFilePath)] = ModelFilePath.Path;
dict[nameof(FilterClasses)] = FilterClasses;
dict[nameof(IsCategorical)] = IsCategorical;
}
public override void Load(Dictionary<string, object> dict)
{
base.Load(dict);
if (dict.ContainsKey(nameof(ModelFilePath)))
ModelFilePath.Path = dict[nameof(ModelFilePath)].ToString();
if (dict.ContainsKey(nameof(FilterClasses)))
FilterClasses = dict[nameof(FilterClasses)].ToString();
if (dict.ContainsKey(nameof(IsCategorical)))
IsCategorical = Convert.ToBoolean(dict[nameof(IsCategorical)]);
}
}