itk-cudacommon-cuda116 2.0.0

Framework for processing images with Cuda

ITKCudaCommon

Overview

ITKCudaCommon is an ITK module for processing images with Cuda, including the itk::CudaImage class and base classes for processing objects of this type, itk::CudaImageToImageFilter and itk::CudaInPlaceImageFilter. ITKCudaCommon was originally based on the GPUCommon module for OpenCL.

What is a CudaImage?

An itk::CudaImage is an itk::Image (by inheritance) with a new member, m_DataManager of type itk::CudaDataManager. The role of this member is to manage a GPU memory buffer with the same size as the itk::Image::m_Buffer. Data is transferred from one buffer to the other (m_GPUBuffer and m_CPUBuffer) only when necessary, i.e., when accessing one of the two buffers and the other has been accessed more recently and therefore marked as "dirty" (using the members m_IsGPUBufferDirty and m_IsCPUBufferDirty).

The Python CudaImage wrapping exposes a __cuda_array_interface__ for zero-copy views to other packages such as PyTorch or CuPy. See the CUDA array interface documentation for more information.

What is a CudaImageToImageFilter?

An itk::CudaImageToImageFilter and its in place child, itk::CudaInPlaceImageFilter, are ITK filters which can be integrated in an ITK pipeline to process an itk::CudaImage. They are CUDA equivalent to the CPU classes itk::ImageToImageFilter and itk::InPlaceImageFilter in ITK's Common module. See the ITK software guide for more information. Their GPUGenerateData member function must process the output CudaImage objects.