public int PredictClasses(object inputs)
{
if (inputs is null)
{
throw new ArgumentNullException(nameof(inputs));
}
return(NeuralNetworkAPI.IndexOfMax((float[])ForwardPropagation(inputs)));
}
public NeuralNetworkBoundBox(float score, float minX, float minY, float maxX, float maxY, float[] classes)
{
Score = score;
MinX = minX;
MinY = minY;
MaxX = maxX;
MaxY = maxY;
Classes = classes;
Label = NeuralNetworkAPI.IndexOfMax(classes);
}
} //todo 待实现
void PrintBoxes(string title, List <NeuralNetworkBoundBox> boundBoxes)
{
return;
Console.WriteLine();
Console.WriteLine(title);
foreach (var boundBox in boundBoxes)
{
int label = NeuralNetworkAPI.IndexOfMax(boundBox.Classes);
Console.WriteLine($"标签：{label} 得分：{boundBox.Classes[label]} 最小X：{boundBox.MinX} 最小Y：{boundBox.MinY} 最大X：{boundBox.MaxX} 最大Y：{boundBox.MaxY}");
Console.WriteLine($"Classes：{string.Join (", ", Array.ConvertAll (boundBox.Classes, classes => classes.ToString ()))}");
}
}