Inconsistent model results
monkeycc opened this issue · 2 comments
monkeycc commented
static async Task DetectDemo(string image, string outputDirectory, YoloV8 predictor)
{
Console.WriteLine();
Console.WriteLine("================ DETECTION DEMO ================");
Console.WriteLine();
Console.WriteLine($"Processing image: {image}");
Console.WriteLine("Working...");
using var origin = Image.Load(image);
using var resizedImage = origin.Clone(ctx => ctx.Resize(new ResizeOptions
{
Size = new Size(1280, 1280),
Mode = ResizeMode.Max
}));
Console.WriteLine("Working...");
var result = await predictor.DetectAsync(resizedImage);
Console.WriteLine();
Console.WriteLine($"Result: {result}");
Console.WriteLine($"Speed: {result.Speed}");
Console.WriteLine();
Console.WriteLine("Plotting and saving...");
// using var origin = Image.Load(image);
using var plotted = await result.PlotImageAsync(resizedImage);
var pathToSave = Path.Combine(outputDirectory, Path.GetFileName(image));
plotted.Save(pathToSave);
}
Inconsistent model results
Python inference
C # Inference
Two different results
C # is missing
The same goes for scaling images
What should I do ?
dme-compunet commented
dme-compunet commented
From looking at the picture I understand the problem, the non-max
suppression algorithm does not check the box classes and therefore it
ignores the inner box, I will fix it soon.
… Message ID: ***@***.***>