void SetupJobs()
{
m_ParallelConvolutionData = new ParallelConvolutionData <float>(m_Input, m_ParallelConvolutions);
m_PadJob = new ImagePadJob <float>(m_Input, m_PaddedGrayscaleInput, m_Pad);
m_JobHandle = m_PadJob.Schedule();
m_JobHandle.Complete();
m_NewSequence = new FloatParallelConvolutionJobs(m_PadJob.Output, m_ParallelConvolutionData, m_JobHandle);
var outImages = m_ParallelConvolutionData.OutputImages[0];
m_CombineJobFloat = new SquareCombineJobFloat()
{
A = outImages[0],
B = outImages[1],
Output = m_CombinedConvolution,
};
}
public FloatSquareMeanImageMixNode() : base("Mix using Square Mean")
{
m_Job = new SquareCombineJobFloat();
input1.onUpdate += OnInput1Update;
input2.onUpdate += OnInput2Update;
}
