I trained a custom model with yolov5 and export to onnx format, then convert to synet format.
The following code detected nothing, but the onnx model works fine with detect.py of yolov5.
Net net;
net.Load("test.xml", "test.bin");
net.Reshape(1920, 1920, 1);
Shape shape = net.NchwShape();
View original;
original.Load("test0.png");
View resized(shape[3], shape[2], original.format);
Simd::Resize(original, resized, ::SimdResizeMethodArea);
net.SetInput(resized, 0.0f, 255.0f);
net.Forward();
Regions objects = net.GetRegions(original.width, original.height, 0.5f, 0.5f);
uint32_t white = 0xFFFFFFFF;
for (size_t i = 0; i < objects.size(); ++i)
{
const Region & object = objects[i];
ptrdiff_t l = ptrdiff_t(object.x - object.w / 2);
ptrdiff_t t = ptrdiff_t(object.y - object.h / 2);
ptrdiff_t r = ptrdiff_t(object.x + object.w / 2);
ptrdiff_t b = ptrdiff_t(object.y + object.h / 2);
Simd::DrawRectangle(original, l, t, r, b, white);
}
original.Save("test0r.ppm");
return 0;
I trained a custom model with yolov5 and export to onnx format, then convert to synet format.
The following code detected nothing, but the onnx model works fine with detect.py of yolov5.