public void Test1()
{
var onnxPath = @"../../../../TinyYolo/Data/TinyYolo2_model.onnx";
var testDataPath = @"../../../Data";
var ml = new MLContext();
var train = new Train(ml);
var yolo = new TinyYoloModel(CommonHelper.GetAbsolutionPath(onnxPath, typeof(TinyYoloModel)));
var transformer = train.LoadOnnx(yolo);
var testImage = Path.Combine(testDataPath, "Image1.jpg" /** Image file here */);
testImage = CommonHelper.GetAbsolutionPath(testImage, typeof(UnitTest1));
var image = Image.FromFile(testImage);
var bitmap = (Bitmap)image;
var testImageData = new ImageNetData {
Image = bitmap
};
var objectDetection = ml.Model.CreatePredictionEngine <ImageNetData, TinyYoloPrediction>(transformer);
TinyYoloPrediction result = new TinyYoloPrediction();
objectDetection.Predict(testImageData, ref result);
OnnxOutputParser parser = new OnnxOutputParser(yolo);
var boxes = parser.ParseOutputs(result.PredictedLabels);
boxes = parser.FilterBoundingBoxes(boxes, 3, .5f);
if (boxes.Any())
{
var saveLocation = CommonHelper.GetAbsolutionPath(testDataPath + "/result", typeof(UnitTest1));
CommonHelper.DrawRect(testDataPath, saveLocation, "Image1.jpg", boxes);
}
else
{
Assert.False(true);
}
}
private void LoadModel()
{
// Check for an Onnx model exported from Custom Vision
var customVisionExport = Directory.GetFiles(modelsDirectory, "*.zip").FirstOrDefault();
// If there is one, use it.
if (customVisionExport != null)
{
var customVisionModel = new CustomVisionModel(customVisionExport);
var modelConfigurator = new OnnxModelConfigurator(customVisionModel);
outputParser = new OnnxOutputParser(customVisionModel);
customVisionPredictionEngine = modelConfigurator.GetMlNetPredictionEngine <CustomVisionPrediction>();
}
else // Otherwise default to Tiny Yolo Onnx model
{
var tinyYoloModel = new TinyYoloModel(Path.Combine(modelsDirectory, "TinyYolo2_model.onnx"));
var modelConfigurator = new OnnxModelConfigurator(tinyYoloModel);
outputParser = new OnnxOutputParser(tinyYoloModel);
tinyYoloPredictionEngine = modelConfigurator.GetMlNetPredictionEngine <TinyYoloPrediction>();
}
}
private void InitializeModel()
{
var modelsDirectory = Path.Combine(Environment.CurrentDirectory, @"ML\OnnxModels");
var customVisionExport = Directory.GetFiles(modelsDirectory, "*.zip").FirstOrDefault();
// custom vision model
if (customVisionExport != null)
{
var customVisionModel = new CustomVisionModel(customVisionExport);
var modelConfigurator = new OnnxModelConfigurator(customVisionModel);
OutputParser = new OnnxOutputParser(customVisionModel);
CustomVisionPredictionEngine = modelConfigurator.GetMlNetPredictionEngine <CustomVisionPrediction>();
}
else // default model
{
var tinyYoloModel = new TinyYoloModel(Path.Combine(modelsDirectory, "TinyYolo2_model.onnx"));
var modelConfigurator = new OnnxModelConfigurator(tinyYoloModel);
OutputParser = new OnnxOutputParser(tinyYoloModel);
TinyYoloPredictionEngine = modelConfigurator.GetMlNetPredictionEngine <TinyYoloPrediction>();
}
}