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我正在寫一個圖像處理程序，其目的是爲了改變大圖像，我正在使用的圖像處理程序是8165像素×4915像素。我被告知要執行GPU處理，所以經過一些研究後，我決定與OpenCL一起使用。我開始實施OpenCL C＃封裝OpenCLTemplate。使用c＃和opencl的內存對象分配失敗
我的代碼需要一個位圖並使用鎖定位來鎖定其內存位置。然後，我將每一位的順序複製到一個數組中，通過openCL內核運行該數組，並將數組中的每一位反轉。然後，我將反轉的位返回到圖像的內存位置。我將這個過程分成十個塊，這樣我可以增加一個進度條。
我的代碼完美適用於較小的圖像，但是當我試圖運行它與我的大圖像時，我試圖執行內核時不斷收到MemObjectAllocationFailure。我不知道爲什麼要這樣做，我希望能找出解決問題的原因或解決方法。
using OpenCLTemplate;
public static void Invert(Bitmap image, ToolStripProgressBar progressBar)
{
string openCLInvert = @"
__kernel void Filter(__global uchar * Img0,
__global float * ImgF)
{
// Gets information about work-item
int x = get_global_id(0);
int y = get_global_id(1);
// Gets information about work size
int width = get_global_size(0);
int height = get_global_size(1);
int ind = 4 * (x + width * y);
// Inverts image colors
ImgF[ind]= 255.0f - (float)Img0[ind];
ImgF[1 + ind]= 255.0f - (float)Img0[1 + ind];
ImgF[2 + ind]= 255.0f - (float)Img0[2 + ind];
// Leave alpha component equal
ImgF[ind + 3] = (float)Img0[ind + 3];
}";
//Lock the image in memory and get image lock data
var imageData = image.LockBits(new Rectangle(0, 0, image.Width, image.Height), ImageLockMode.ReadWrite, PixelFormat.Format32bppArgb);
CLCalc.InitCL();
for (int i = 0; i < 10; i++)
{
unsafe
{
int adjustedHeight = (((i + 1) * imageData.Height)/10) - ((i * imageData.Height)/10);
int count = 0;
byte[] Data = new byte[(4 * imageData.Stride * adjustedHeight)];
var startPointer = (byte*)imageData.Scan0;
for (int y = ((i * imageData.Height)/10); y < (((i + 1) * imageData.Height)/10); y++)
{
for (int x = 0; x < imageData.Width; x++)
{
byte* Byte = (byte*)(startPointer + (y * imageData.Stride) + (x * 4));
Data[count] = *Byte;
Data[count + 1] = *(Byte + 1);
Data[count + 2] = *(Byte + 2);
Data[count + 3] = *(Byte + 3);
count += 4;
}
}
CLCalc.Program.Compile(openCLInvert);
CLCalc.Program.Kernel kernel = new CLCalc.Program.Kernel("Filter");
CLCalc.Program.Variable CLData = new CLCalc.Program.Variable(Data);
float[] imgProcessed = new float[Data.Length];
CLCalc.Program.Variable CLFiltered = new CLCalc.Program.Variable(imgProcessed);
CLCalc.Program.Variable[] args = new CLCalc.Program.Variable[] { CLData, CLFiltered };
kernel.Execute(args, new int[] { imageData.Width, adjustedHeight });
CLCalc.Program.Sync();
CLFiltered.ReadFromDeviceTo(imgProcessed);
count = 0;
for (int y = ((i * imageData.Height)/10); y < (((i + 1) * imageData.Height)/10); y++)
{
for (int x = 0; x < imageData.Width; x++)
{
byte* Byte = (byte*)(startPointer + (y * imageData.Stride) + (x * 4));
*Byte = (byte)imgProcessed[count];
*(Byte + 1) = (byte)imgProcessed[count + 1];
*(Byte + 2) = (byte)imgProcessed[count + 2];
*(Byte + 3) = (byte)imgProcessed[count + 3];
count += 4;
}
}
}
progressBar.Owner.Invoke((Action)progressBar.PerformStep);
}
//Unlock image
image.UnlockBits(imageData);
}