public List <CubicBoundingBox> DetectFromFiles(IEnumerable <string> imagePaths, string path)
{
IEnumerable <ImageNetData> images = ImageNetData.ReadFromFiles(imagePaths);
IDataView imageDataView = mlContext.Data.LoadFromEnumerable(images);
var modelScorer = new OnnxModelScorer(path, onnxPath, mlContext);
var probabilities = modelScorer.Score(imageDataView);
OutputParser outputParser = new OutputParser(probabilities, 13, 5);
var boxes = outputParser.BoundingBoxes;
return(boxes);
}
public static void Run(string[] args)
{
var assetsRelativePath = @"../../../../Assets";
string assetsPath = GetAbsolutePath(assetsRelativePath);
var modelFilePath = Path.Combine(assetsPath, "OnnxModel", "MultiObjectDetectionModel.onnx");
var imagesFolder = Path.Combine(assetsPath, "images");
var outputFolder = Path.Combine(assetsPath, "images", "output");
MLContext mlContext = new MLContext();
IEnumerable <ImageNetData> images = ImageNetData.ReadFromFile(imagesFolder);
IDataView imageDataView = mlContext.Data.LoadFromEnumerable(images);
var modelScorer = new OnnxModelScorer(imagesFolder, modelFilePath, mlContext);
var probabilities = modelScorer.Score(imageDataView);
OutputParser outputParser = new OutputParser(probabilities, 13, 5);
var boxes = outputParser.BoundingBoxes;
DrawBoundingBox(Path.Combine(imagesFolder, "000005.jpg"), null, "fuckoff.jpg", boxes);
}
