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filter-noise.cpp
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178 lines (165 loc) · 4.71 KB
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#include <algorithm>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include "cuda.h"
#include "filter-noise.h"
using namespace std;
CUdevice cuDevice;
CUcontext cuContext;
CUmodule cuModule;
CUfunction cuSobelFilterFn;
CUfunction cuBlurFilterFn;
CUfunction cuMixChannelsFn;
CUfunction cuSmoothenFn;
CUfunction cuParallelMaxFn;
CUfunction cuDivideAllFn;
CUdeviceptr d_channels[3], d_tmp_channels[3], d_gradient, d_uchar_channels[3];
CUresult cu_result;
double* double_channels[3];
int dimY = -1; // first dimension
int dimX = -1; // second dimension
static void cuda_init() {
bool failed = false;
failed |= cuInit(0) != CUDA_SUCCESS;
failed |= cuDeviceGet(&cuDevice, 0) != CUDA_SUCCESS;
failed |= cuCtxCreate(&cuContext, 0, cuDevice) != CUDA_SUCCESS;
failed |= cuModuleLoad(&cuModule, "filter-noise.ptx") != CUDA_SUCCESS;
failed |= cuModuleGetFunction(&cuSobelFilterFn, cuModule, "sobel_filter") != CUDA_SUCCESS;
failed |= cuModuleGetFunction(&cuBlurFilterFn, cuModule, "blur_filter") != CUDA_SUCCESS;
failed |= cuModuleGetFunction(&cuMixChannelsFn, cuModule, "mix_channels") != CUDA_SUCCESS;
failed |= cuModuleGetFunction(&cuSmoothenFn, cuModule, "smoothen") != CUDA_SUCCESS;
failed |= cuModuleGetFunction(&cuParallelMaxFn, cuModule, "parallel_max") != CUDA_SUCCESS;
failed |= cuModuleGetFunction(&cuDivideAllFn, cuModule, "divide_all") != CUDA_SUCCESS;
cuCtxSynchronize();
if (failed) {
printf ("Cuda initialization failed.\n");
exit(EXIT_FAILURE);
}
}
static void allocate(int length) {
for (int i = 0; i < 3; ++i) {
double_channels[i] = (double*)malloc(length*sizeof(double));
cuMemAlloc(&d_channels[i], length*sizeof(double));
cuMemAlloc(&d_tmp_channels[i], length*sizeof(double));
cuMemAlloc(&d_uchar_channels[i], length*sizeof(unsigned char));
}
cuMemAlloc(&d_gradient, length*sizeof(double));
cuCtxSynchronize();
}
static void prepare(unsigned char* char_channels[3], int dimy, int dimx) {
for (int c = 0; c < 3; ++c) {
for (int i = 0; i < dimy * dimx; ++i) {
double_channels[c][i] = char_channels[c][i];
}
cuMemcpyHtoD(d_channels[c], double_channels[c], dimy*dimx*sizeof(double));
cuCtxSynchronize();
}
dimY = dimy;
dimX = dimx;
}
static void compute_gradients() {
// Sobel filter
void* args[] = { NULL, &dimY, &dimX, NULL };
for (int c = 0; c < 3; ++c) {
args[0] = &d_channels[c];
args[3] = &d_tmp_channels[c];
cuLaunchKernel(cuSobelFilterFn,
(dimX + 31)/32, (dimY + 31)/32, 1,
32, 32, 1,
0, 0, args, 0);
cuCtxSynchronize();
}
// Mix channels
int size = dimY*dimX;
void* args2[] = {
&d_tmp_channels[0],
&d_tmp_channels[1],
&d_tmp_channels[2],
&size,
&d_gradient };
cuLaunchKernel(cuMixChannelsFn,
(dimY*dimX + 1023)/1024, 1, 1,
1024, 1, 1,
0, 0, args2, 0);
cuCtxSynchronize();
// Blur gradient
void* args3[] = { &d_gradient, &dimY, &dimX, &d_tmp_channels[0] };
for (int i = 0; i < 8; ++i) {
cuLaunchKernel(cuBlurFilterFn,
(dimX + 31)/32, (dimY + 31)/32, 1,
32, 32, 1,
0, 0, args3, 0);
cuCtxSynchronize();
swap(args3[0], args3[3]);
}
// Compute max
void* args4[] = {
&d_gradient,
&size,
&d_tmp_channels[0]};
int cnt = 0;
do {
cuLaunchKernel(cuParallelMaxFn,
(size + 1023)/1024, 1, 1,
1024, 1, 1,
1024*sizeof(double), 0, args4, 0);
cuCtxSynchronize();
size = (size + 1023)/1024;
args4[0] = &d_tmp_channels[cnt&1];
args4[2] = &d_tmp_channels[(cnt&1)^1];
cnt++;
} while (size > 1);
size = dimY*dimX;
// Normalize
void* args5[] = {
&d_gradient,
&size,
&d_tmp_channels[(cnt&1)^1]};
cuLaunchKernel(cuDivideAllFn,
(size + 1023)/1024, 1, 1,
1024, 1, 1,
0, 0, args5, 0);
cuCtxSynchronize();
}
static void sharpen_or_blur() {
void* args[] = {
NULL,
&dimY,
&dimX,
&d_gradient,
NULL};
for (int c = 0; c < 3; ++c) {
args[0] = &d_channels[c];
args[4] = &d_uchar_channels[c];
cuLaunchKernel(cuSmoothenFn,
(dimX + 31)/32, (dimY + 31)/32, 1,
32, 32, 1,
0, 0, args, 0);
cuCtxSynchronize();
}
}
static void save_at(unsigned char* channels[3]) {
for (int c = 0; c < 3; ++c) {
cuMemcpyDtoH(channels[c],
d_uchar_channels[c],
dimY*dimX*sizeof(unsigned char));
cuCtxSynchronize();
}
}
static void cleanup() {
for (int i = 0; i < 3; ++i) {
delete [] double_channels[i];
}
cuCtxSynchronize();
cuCtxDestroy(cuContext);
}
void enhance_image(unsigned char* channels[3], int dimy, int dimx) {
cuda_init();
allocate(dimy * dimx);
prepare(channels, dimy, dimx);
compute_gradients();
sharpen_or_blur();
save_at(channels);
cleanup();
}