static void Main(string[] args)
{
GrayBitmap image = GrayBitmap.Load("../../images/lena_highres_greyscale_noise.bmp");
GrayBitmap denoised = new GrayBitmap(image.Width, image.Height);
ushort[] input = image.PixelsUShort;
ushort[] output = new ushort[image.Width * image.Height];
Stopwatch watch = new Stopwatch();
watch.Start();
int window = 3;
// create an instance of runner
HybRunner runner = HybRunner.Cuda();
// wrap a new instance of Program
dynamic wrapper = runner.Wrap(new Program());
// run the method on GPU
wrapper.ParForGPU(output, input, (int)image.Width, (int)image.Height, window);
watch.Stop();
string time = String.Format("{0:0.00}", watch.ElapsedMilliseconds * 1.0E-3);
Console.WriteLine($"Naive GPU time : {time}");
denoised.PixelsUShort = output;
denoised.Save("../../output-03-naive-gpu/denoised.bmp");
}
static void Main(string[] args)
{
GrayBitmap image = GrayBitmap.Load("../../images/lena_highres_greyscale_noise.bmp");
GrayBitmap denoised = new GrayBitmap(image.Width, image.Height);
ushort[] input = image.PixelsUShort;
ushort[] output = new ushort[image.Width * image.Height];
Stopwatch watch = new Stopwatch();
watch.Start();
dim3 grid = new dim3(< gridX >, <gridY>, 1);
dim3 block = new dim3(< blockX >, <blockY>, 1);
// create an instance of runner
HybRunner runner = HybRunner.Cuda();
// wrap a new instance of Program
dynamic wrapper = runner.Wrap(new Filter());
// run the method on GPU
wrapper.SetDistrib(grid, block).ParForGPU(output, input, (int)image.Width, (int)image.Height);
watch.Stop();
string time = String.Format("{0:0.00}", watch.ElapsedMilliseconds * 1.0E-3);
Console.WriteLine($"Parallel2D GPU time : {time}");
denoised.PixelsUShort = output;
denoised.Save("../../output-05-dice-gpu/denoised.bmp");
}
static void Main(string[] args)
{
int currentDevice;
cuda.GetDevice(out currentDevice);
cudaDeviceProp prop;
cuda.GetDeviceProperties(out prop, currentDevice);
GrayBitmap image = GrayBitmap.Load("../../images/lena_highres_greyscale_noise.bmp");
GrayBitmap denoised = new GrayBitmap(image.Width, image.Height);
ushort[] input = image.PixelsUShort;
ushort[] output = new ushort[image.Width * image.Height];
Stopwatch watch = new Stopwatch();
watch.Start();
int chunk;
if ((prop.major >= 6) && (prop.minor == 0))
{
chunk = ((int)image.Height + (prop.multiProcessorCount / 2) - 1) / (prop.multiProcessorCount / 2);
}
else
{
chunk = ((int)image.Height + (prop.multiProcessorCount) - 1) / (prop.multiProcessorCount);
}
Console.Out.WriteLine("Chunk size = {0}", chunk);
dim3 grid = new dim3(16, ((int)image.Height + chunk - 1) / chunk, 1);
dim3 block = new dim3(128, 1, 1);
// create an instance of runner
HybRunner runner = HybRunner.Cuda();
// wrap a new instance of Program
dynamic wrapper = runner.Wrap(new Filter());
// run the method on GPU
wrapper.SetDistrib(grid, block).ParForGPU(output, input, (int)image.Width, (int)image.Height, chunk);
cuda.DeviceSynchronize();
watch.Stop();
string time = String.Format("{0:0.00}", watch.ElapsedMilliseconds * 1.0E-3);
string kernelTime = String.Format("{0:0.00}", runner.LastKernelDuration.ElapsedMilliseconds * 1.0E-3);
Console.WriteLine($"SweepSort GPU time : {time}");
Console.WriteLine($"SweepSort GPU -- kernel time : {kernelTime}");
denoised.PixelsUShort = output;
denoised.Save("../../output-07-cache-aware-gpu/denoised.bmp");
cuda.DeviceReset();
}
private void updataImg()
{
if (curImage != null)
{
preImage = curImage;
pictureBoxPreImg.Image = preImage.enlargeBmp(1);
}
curImage = new GrayBitmap(imgBuf, imgWidth, imgHeight);
pictureBoxCurImg.Image = curImage.enlargeBmp(1);
}
static void Main(string[] args)
{
GrayBitmap image = GrayBitmap.Load("../../images/lena_highres_greyscale_noise.bmp");
GrayBitmap denoised = new GrayBitmap(image.Width, image.Height);
ushort[] input = image.PixelsUShort;
ushort[] output = new ushort[image.Width * image.Height];
Stopwatch watch = new Stopwatch();
watch.Start();
int window = 3;
private void Form1_Load(object sender, EventArgs e)
{
backgroundWorker.RunWorkerAsync();
byte[] bytes = new byte[140 * 80];
int k = 0;
byte val = 0;
for (int i = 0; i < 140 * 80; i++)
{
bytes[k++] = val++;
}
curImage = new GrayBitmap(bytes, 140, 80);
//pictureBoxCurImg.Image = curImage.enlargeBmp(3);
//grayBmp.bmp.Save("test.png", System.Drawing.Imaging.ImageFormat.Png);
}
private void buttonImgLoadPre_Click(object sender, EventArgs e)
{
OpenFileDialog opndlg = new OpenFileDialog();
opndlg.Filter = "所有文件|*.bmp;*.jpg";
opndlg.Title = "打开图形文件";
opndlg.ShowHelp = true;
if (opndlg.ShowDialog() == DialogResult.OK)
{
string curFileName = opndlg.FileName;
try
{
Bitmap curBitmap = (Bitmap)Image.FromFile(curFileName);
preImage = new GrayBitmap(curBitmap);
pictureBoxPreImg.Image = preImage.enlargeBmp(1);
}
catch (Exception exp)
{
MessageBox.Show(exp.Message);
}
}
}
static void Main(string[] args)
{
GrayBitmap image = GrayBitmap.Load("../../images/lena_highres_greyscale_noise.bmp");
GrayBitmap denoised = new GrayBitmap(image.Width, image.Height);
ushort[] input = image.PixelsUShort;
ushort[] output = new ushort[image.Width * image.Height];
int window = 3;
Stopwatch watch = new Stopwatch();
watch.Start();
NaiveCsharp(output, input, (int)image.Width, (int)image.Height, window);
watch.Stop();
string time = String.Format("{0:0.00}", watch.ElapsedMilliseconds * 1.0E-3);
Console.WriteLine($"Parallel.For time : {time}");
denoised.PixelsUShort = output;
denoised.Save("../../output-02-parfor/denoised.bmp");
}
