我正在尝试使用.NET在GPU上进行图像处理。我已下载OpenCL.NET wrapper。它有一些很好的样本，但我找不到将图像加载到GPU并将处理后的图像读回的方法。我该怎么办？
答案 0 :(得分：1)
设置上下文后，请执行以下操作：
public void ImagingTest (string inputImagePath, string outputImagePath)
{
Cl.ErrorCode error;
//Load and compile kernel source code.
string programPath = Environment.CurrentDirectory + "/../../ImagingTest.cl"; //The path to the source file may vary
if (!System.IO.File.Exists (programPath)) {
Console.WriteLine ("Program doesn't exist at path " + programPath);
return;
}
string programSource = System.IO.File.ReadAllText (programPath);
using (Cl.Program program = Cl.CreateProgramWithSource(_context, 1, new[] { programSource }, null, out error)) {
CheckErr(error, "Cl.CreateProgramWithSource");
//Compile kernel source
error = Cl.BuildProgram (program, 1, new[] { _device }, string.Empty, null, IntPtr.Zero);
CheckErr(error, "Cl.BuildProgram");
//Check for any compilation errors
if (Cl.GetProgramBuildInfo (program, _device, Cl.ProgramBuildInfo.Status, out error).CastTo<Cl.BuildStatus>()
!= Cl.BuildStatus.Success) {
CheckErr(error, "Cl.GetProgramBuildInfo");
Console.WriteLine("Cl.GetProgramBuildInfo != Success");
Console.WriteLine(Cl.GetProgramBuildInfo(program, _device, Cl.ProgramBuildInfo.Log, out error));
return;
}
//Create the required kernel (entry function)
Cl.Kernel kernel = Cl.CreateKernel(program, "imagingTest", out error);
CheckErr(error, "Cl.CreateKernel");
int intPtrSize = 0;
intPtrSize = Marshal.SizeOf(typeof(IntPtr));
//Image's RGBA data converted to an unmanaged[] array
byte[] inputByteArray;
//OpenCL memory buffer that will keep our image's byte[] data.
Cl.Mem inputImage2DBuffer;
Cl.ImageFormat clImageFormat = new Cl.ImageFormat(Cl.ChannelOrder.RGBA, Cl.ChannelType.Unsigned_Int8);
int inputImgWidth, inputImgHeight;
int inputImgBytesSize;
int inputImgStride;
//Try loading the input image
using (FileStream imageFileStream = new FileStream(inputImagePath, FileMode.Open) ) {
System.Drawing.Image inputImage = System.Drawing.Image.FromStream( imageFileStream );
if (inputImage == null) {
Console.WriteLine("Unable to load input image");
return;
}
inputImgWidth = inputImage.Width;
inputImgHeight = inputImage.Height;
System.Drawing.Bitmap bmpImage = new System.Drawing.Bitmap(inputImage);
//Get raw pixel data of the bitmap
//The format should match the format of clImageFormat
BitmapData bitmapData = bmpImage.LockBits( new Rectangle(0, 0, bmpImage.Width, bmpImage.Height),
ImageLockMode.ReadOnly, PixelFormat.Format32bppArgb);//inputImage.PixelFormat);
inputImgStride = bitmapData.Stride;
inputImgBytesSize = bitmapData.Stride * bitmapData.Height;
//Copy the raw bitmap data to an unmanaged byte[] array
inputByteArray = new byte[inputImgBytesSize];
Marshal.Copy(bitmapData.Scan0, inputByteArray, 0, inputImgBytesSize);
//Allocate OpenCL image memory buffer
inputImage2DBuffer = Cl.CreateImage2D(_context, Cl.MemFlags.CopyHostPtr | Cl.MemFlags.ReadOnly, clImageFormat,
(IntPtr)bitmapData.Width, (IntPtr)bitmapData.Height,
(IntPtr)0, inputByteArray, out error);
CheckErr(error, "Cl.CreateImage2D input");
}
//Unmanaged output image's raw RGBA byte[] array
byte[] outputByteArray = new byte[inputImgBytesSize];
//Allocate OpenCL image memory buffer
Cl.Mem outputImage2DBuffer = Cl.CreateImage2D(_context, Cl.MemFlags.CopyHostPtr | Cl.MemFlags.WriteOnly, clImageFormat,
(IntPtr)inputImgWidth, (IntPtr)inputImgHeight, (IntPtr)0, outputByteArray, out error);
CheckErr(error, "Cl.CreateImage2D output");
//Pass the memory buffers to our kernel function
error = Cl.SetKernelArg(kernel, 0, (IntPtr)intPtrSize, inputImage2DBuffer);
error |= Cl.SetKernelArg(kernel, 1, (IntPtr)intPtrSize, outputImage2DBuffer);
CheckErr(error, "Cl.SetKernelArg");
//Create a command queue, where all of the commands for execution will be added
Cl.CommandQueue cmdQueue = Cl.CreateCommandQueue(_context, _device, (Cl.CommandQueueProperties)0, out error);
CheckErr(error, "Cl.CreateCommandQueue");
Cl.Event clevent;
//Copy input image from the host to the GPU.
IntPtr[] originPtr = new IntPtr[] { (IntPtr)0, (IntPtr)0, (IntPtr)0 }; //x, y, z
IntPtr[] regionPtr = new IntPtr[] { (IntPtr)inputImgWidth, (IntPtr)inputImgHeight, (IntPtr)1 }; //x, y, z
IntPtr[] workGroupSizePtr = new IntPtr[] { (IntPtr)inputImgWidth, (IntPtr)inputImgHeight, (IntPtr)1 };
error = Cl.EnqueueWriteImage(cmdQueue, inputImage2DBuffer, Cl.Bool.True, originPtr, regionPtr, (IntPtr)0, (IntPtr)0, inputByteArray, 0, null, out clevent);
CheckErr(error, "Cl.EnqueueWriteImage");
//Execute our kernel (OpenCL code)
error = Cl.EnqueueNDRangeKernel(cmdQueue, kernel, 2, null, workGroupSizePtr, null, 0, null, out clevent);
CheckErr(error, "Cl.EnqueueNDRangeKernel");
//Wait for completion of all calculations on the GPU.
error = Cl.Finish(cmdQueue);
CheckErr(error, "Cl.Finish");
//Read the processed image from GPU to raw RGBA data byte[] array
error = Cl.EnqueueReadImage(cmdQueue, outputImage2DBuffer, Cl.Bool.True, originPtr, regionPtr,
(IntPtr)0, (IntPtr)0, outputByteArray, 0, null, out clevent);
CheckErr(error, "Cl.clEnqueueReadImage");
//Clean up memory
Cl.ReleaseKernel(kernel);
Cl.ReleaseCommandQueue(cmdQueue);
Cl.ReleaseMemObject(inputImage2DBuffer);
Cl.ReleaseMemObject(outputImage2DBuffer);
//Get a pointer to our unmanaged output byte[] array
GCHandle pinnedOutputArray = GCHandle.Alloc(outputByteArray, GCHandleType.Pinned);
IntPtr outputBmpPointer = pinnedOutputArray.AddrOfPinnedObject();
//Create a new bitmap with processed data and save it to a file.
Bitmap outputBitmap = new Bitmap(inputImgWidth, inputImgHeight, inputImgStride, PixelFormat.Format32bppArgb, outputBmpPointer);
outputBitmap.Save(outputImagePath, System.Drawing.Imaging.ImageFormat.Png);
pinnedOutputArray.Free();
}
}
此示例中使用的OpenCL内核：
__kernel void imagingTest(__read_only image2d_t srcImg,
__write_only image2d_t dstImg)
{
const sampler_t smp = CLK_NORMALIZED_COORDS_FALSE | //Natural coordinates
CLK_ADDRESS_CLAMP_TO_EDGE | //Clamp to zeros
CLK_FILTER_LINEAR;
int2 coord = (int2)(get_global_id(0), get_global_id(1));
uint4 bgra = read_imageui(srcImg, smp, coord); //The byte order is BGRA
float4 bgrafloat = convert_float4(bgra) / 255.0f; //Convert to normalized [0..1] float
//Convert RGB to luminance (make the image grayscale).
float luminance = sqrt(0.241f * bgrafloat.z * bgrafloat.z + 0.691f * bgrafloat.y * bgrafloat.y + 0.068f * bgrafloat.x * bgrafloat.x);
bgra.x = bgra.y = bgra.z = (uint) (luminance * 255.0f);
bgra.w = 255;
write_imageui(dstImg, coord, bgra);
}
*完整文章codeproject.com