@Test
public void compareToConvolve_F32() throws NoSuchMethodException {
CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
validator.setTarget(
GradientPrewitt.class.getMethod(
"process",
ImageFloat32.class,
ImageFloat32.class,
ImageFloat32.class,
ImageBorder_F32.class));
validator.setKernel(0, GradientPrewitt.kernelDerivX_F32);
validator.setKernel(1, GradientPrewitt.kernelDerivY_F32);
ImageFloat32 input = new ImageFloat32(width, height);
ImageMiscOps.fillUniform(input, rand, 0, 10);
ImageFloat32 derivX = new ImageFloat32(width, height);
ImageFloat32 derivY = new ImageFloat32(width, height);
validator.compare(input, derivX, derivY);
}
@Test
public void compareToConvolve_F32() throws NoSuchMethodException {
CompareDerivativeToConvolution validator = new CompareDerivativeToConvolution();
validator.setTarget(
HessianThree.class.getMethod(
"process",
ImageFloat32.class,
ImageFloat32.class,
ImageFloat32.class,
ImageFloat32.class,
ImageBorder_F32.class));
validator.setKernel(0, HessianThree.kernelXXYY_F32, true);
validator.setKernel(1, HessianThree.kernelXXYY_F32, false);
validator.setKernel(2, HessianThree.kernelCross_F32);
ImageFloat32 input = new ImageFloat32(width, height);
ImageTestingOps.randomize(input, rand, 0, 10);
ImageFloat32 derivXX = new ImageFloat32(width, height);
ImageFloat32 derivYY = new ImageFloat32(width, height);
ImageFloat32 derivXY = new ImageFloat32(width, height);
validator.compare(input, derivXX, derivYY, derivXY);
}
