//stream loop
void Stream::stream_loop()
{
while(loop)
{
int wait_time = uiStream->spinBox_update->value();
//wait for a wait_time
int i = 0;
while(i<wait_time && loop)
{
qApp->processEvents();
uiStream->lcdNumber->setSegmentStyle(QLCDNumber::Flat);
uiStream->lcdNumber->setStyleSheet("QLCDNumber{color:black;"
"background-color:rgb(19,235,67,255);}");
uiStream->lcdNumber->display(QString::number(wait_time-i));
QEventLoop wait;
QTimer::singleShot(1000, &wait, SLOT(quit()));//wait 1000 ms
wait.exec();
i++;
}
//execute the user choice
if(loop)
{
read_graphics();
createData();
}
}
uiStream->lcdNumber->setStyleSheet("QLCDNumber{color:black;"
"background-color:white;}");
uiStream->lcdNumber->display(QString::number(0));
}
int main(int argc, char *argv []){
//================================================================================80
// VARIABLES
//================================================================================80
// time
long long time0;
long long time1;
long long time2;
long long time3;
long long time4;
long long time5;
long long time6;
long long time7;
long long time8;
long long time9;
long long time10;
time0 = get_time();
// inputs image, input paramenters
fp* image_ori; // originalinput image
int image_ori_rows;
int image_ori_cols;
long image_ori_elem;
// inputs image, input paramenters
fp* image; // input image
long Nr,Nc; // IMAGE nbr of rows/cols/elements
long Ne;
// algorithm parameters
int niter; // nbr of iterations
fp lambda; // update step size
// size of IMAGE
int r1,r2,c1,c2; // row/col coordinates of uniform ROI
long NeROI; // ROI nbr of elements
// ROI statistics
fp meanROI, varROI, q0sqr; //local region statistics
// surrounding pixel indicies
int *iN,*iS,*jE,*jW;
// center pixel value
fp Jc;
// directional derivatives
fp *dN,*dS,*dW,*dE;
// calculation variables
fp tmp,sum,sum2;
fp G2,L,num,den,qsqr,D;
// diffusion coefficient
fp *c;
fp cN,cS,cW,cE;
// counters
int iter; // primary loop
long i,j; // image row/col
long k; // image single index
// number of threads
int threads;
time1 = get_time();
//================================================================================80
// GET INPUT PARAMETERS
//================================================================================80
if(argc != 6){
printf("ERROR: wrong number of arguments\n");
return 0;
}
else{
niter = atoi(argv[1]);
lambda = atof(argv[2]);
Nr = atoi(argv[3]); // it is 502 in the original image
Nc = atoi(argv[4]); // it is 458 in the original image
threads = atoi(argv[5]);
}
omp_set_num_threads(threads);
// printf("THREAD %d\n", omp_get_thread_num());
// printf("NUMBER OF THREADS: %d\n", omp_get_num_threads());
time2 = get_time();
//================================================================================80
// READ IMAGE (SIZE OF IMAGE HAS TO BE KNOWN)
//================================================================================80
// read image
image_ori_rows = 502;
image_ori_cols = 458;
image_ori_elem = image_ori_rows * image_ori_cols;
image_ori = (fp*)malloc(sizeof(fp) * image_ori_elem);
read_graphics( "image.pgm",
image_ori,
image_ori_rows,
image_ori_cols,
1);
time3 = get_time();
//================================================================================80
// RESIZE IMAGE (ASSUMING COLUMN MAJOR STORAGE OF image_orig)
//================================================================================80
Ne = Nr*Nc;
image = (fp*)malloc(sizeof(fp) * Ne);
resize( image_ori,
image_ori_rows,
image_ori_cols,
image,
Nr,
Nc,
1);
time4 = get_time();
//================================================================================80
// SETUP
//================================================================================80
r1 = 0; // top row index of ROI
r2 = Nr - 1; // bottom row index of ROI
c1 = 0; // left column index of ROI
c2 = Nc - 1; // right column index of ROI
// ROI image size
NeROI = (r2-r1+1)*(c2-c1+1); // number of elements in ROI, ROI size
// allocate variables for surrounding pixels
iN = malloc(sizeof(int*)*Nr) ; // north surrounding element
iS = malloc(sizeof(int*)*Nr) ; // south surrounding element
jW = malloc(sizeof(int*)*Nc) ; // west surrounding element
jE = malloc(sizeof(int*)*Nc) ; // east surrounding element
// allocate variables for directional derivatives
dN = malloc(sizeof(fp)*Ne) ; // north direction derivative
dS = malloc(sizeof(fp)*Ne) ; // south direction derivative
dW = malloc(sizeof(fp)*Ne) ; // west direction derivative
dE = malloc(sizeof(fp)*Ne) ; // east direction derivative
// allocate variable for diffusion coefficient
c = malloc(sizeof(fp)*Ne) ; // diffusion coefficient
// N/S/W/E indices of surrounding pixels (every element of IMAGE)
// #pragma omp parallel
for (i=0; i<Nr; i++) {
iN[i] = i-1; // holds index of IMAGE row above
iS[i] = i+1; // holds index of IMAGE row below
}
// #pragma omp parallel
for (j=0; j<Nc; j++) {
jW[j] = j-1; // holds index of IMAGE column on the left
jE[j] = j+1; // holds index of IMAGE column on the right
}
// N/S/W/E boundary conditions, fix surrounding indices outside boundary of IMAGE
iN[0] = 0; // changes IMAGE top row index from -1 to 0
iS[Nr-1] = Nr-1; // changes IMAGE bottom row index from Nr to Nr-1
jW[0] = 0; // changes IMAGE leftmost column index from -1 to 0
jE[Nc-1] = Nc-1; // changes IMAGE rightmost column index from Nc to Nc-1
time5 = get_time();
//================================================================================80
// SCALE IMAGE DOWN FROM 0-255 TO 0-1 AND EXTRACT
//================================================================================80
// #pragma omp parallel
for (i=0; i<Ne; i++) { // do for the number of elements in input IMAGE
image[i] = exp(image[i]/255); // exponentiate input IMAGE and copy to output image
}
time6 = get_time();
//================================================================================80
// COMPUTATION
//================================================================================80
// printf("iterations: ");
// primary loop
for (iter=0; iter<niter; iter++){ // do for the number of iterations input parameter
// printf("%d ", iter);
// fflush(NULL);
// ROI statistics for entire ROI (single number for ROI)
sum=0;
sum2=0;
for (i=r1; i<=r2; i++) { // do for the range of rows in ROI
for (j=c1; j<=c2; j++) { // do for the range of columns in ROI
tmp = image[i + Nr*j]; // get coresponding value in IMAGE
sum += tmp ; // take corresponding value and add to sum
sum2 += tmp*tmp; // take square of corresponding value and add to sum2
}
}
meanROI = sum / NeROI; // gets mean (average) value of element in ROI
varROI = (sum2 / NeROI) - meanROI*meanROI; // gets variance of ROI
q0sqr = varROI / (meanROI*meanROI); // gets standard deviation of ROI
// directional derivatives, ICOV, diffusion coefficent
#pragma omp parallel for shared(image, dN, dS, dW, dE, c, Nr, Nc, iN, iS, jW, jE) private(i, j, k, Jc, G2, L, num, den, qsqr)
for (j=0; j<Nc; j++) { // do for the range of columns in IMAGE
for (i=0; i<Nr; i++) { // do for the range of rows in IMAGE
// current index/pixel
k = i + Nr*j; // get position of current element
Jc = image[k]; // get value of the current element
// directional derivates (every element of IMAGE)
dN[k] = image[iN[i] + Nr*j] - Jc; // north direction derivative
dS[k] = image[iS[i] + Nr*j] - Jc; // south direction derivative
dW[k] = image[i + Nr*jW[j]] - Jc; // west direction derivative
dE[k] = image[i + Nr*jE[j]] - Jc; // east direction derivative
// normalized discrete gradient mag squared (equ 52,53)
G2 = (dN[k]*dN[k] + dS[k]*dS[k] // gradient (based on derivatives)
+ dW[k]*dW[k] + dE[k]*dE[k]) / (Jc*Jc);
// normalized discrete laplacian (equ 54)
L = (dN[k] + dS[k] + dW[k] + dE[k]) / Jc; // laplacian (based on derivatives)
// ICOV (equ 31/35)
num = (0.5*G2) - ((1.0/16.0)*(L*L)) ; // num (based on gradient and laplacian)
den = 1 + (.25*L); // den (based on laplacian)
qsqr = num/(den*den); // qsqr (based on num and den)
// diffusion coefficent (equ 33) (every element of IMAGE)
den = (qsqr-q0sqr) / (q0sqr * (1+q0sqr)) ; // den (based on qsqr and q0sqr)
c[k] = 1.0 / (1.0+den) ; // diffusion coefficient (based on den)
// saturate diffusion coefficent to 0-1 range
if (c[k] < 0) // if diffusion coefficient < 0
{c[k] = 0;} // ... set to 0
else if (c[k] > 1) // if diffusion coefficient > 1
{c[k] = 1;} // ... set to 1
}
}
// divergence & image update
#pragma omp parallel for shared(image, c, Nr, Nc, lambda) private(i, j, k, D, cS, cN, cW, cE)
for (j=0; j<Nc; j++) { // do for the range of columns in IMAGE
// printf("NUMBER OF THREADS: %d\n", omp_get_num_threads());
for (i=0; i<Nr; i++) { // do for the range of rows in IMAGE
// current index
k = i + Nr*j; // get position of current element
// diffusion coefficent
cN = c[k]; // north diffusion coefficient
cS = c[iS[i] + Nr*j]; // south diffusion coefficient
cW = c[k]; // west diffusion coefficient
cE = c[i + Nr*jE[j]]; // east diffusion coefficient
// divergence (equ 58)
D = cN*dN[k] + cS*dS[k] + cW*dW[k] + cE*dE[k]; // divergence
// image update (equ 61) (every element of IMAGE)
image[k] = image[k] + 0.25*lambda*D; // updates image (based on input time step and divergence)
}
}
}
// printf("\n");
time7 = get_time();
//================================================================================80
// SCALE IMAGE UP FROM 0-1 TO 0-255 AND COMPRESS
//================================================================================80
// #pragma omp parallel
for (i=0; i<Ne; i++) { // do for the number of elements in IMAGE
image[i] = log(image[i])*255; // take logarithm of image, log compress
}
time8 = get_time();
//================================================================================80
// WRITE IMAGE AFTER PROCESSING
//================================================================================80
write_graphics( "image_out.pgm",
image,
Nr,
Nc,
1,
255);
time9 = get_time();
//================================================================================80
// DEALLOCATE
//================================================================================80
free(image_ori);
free(image);
free(iN); free(iS); free(jW); free(jE); // deallocate surrounding pixel memory
free(dN); free(dS); free(dW); free(dE); // deallocate directional derivative memory
free(c); // deallocate diffusion coefficient memory
time10 = get_time();
//================================================================================80
// DISPLAY TIMING
//================================================================================80
printf("Time spent in different stages of the application:\n");
printf("%.12f s, %.12f % : SETUP VARIABLES\n", (float) (time1-time0) / 1000000, (float) (time1-time0) / (float) (time10-time0) * 100);
printf("%.12f s, %.12f % : READ COMMAND LINE PARAMETERS\n", (float) (time2-time1) / 1000000, (float) (time2-time1) / (float) (time10-time0) * 100);
printf("%.12f s, %.12f % : READ IMAGE FROM FILE\n", (float) (time3-time2) / 1000000, (float) (time3-time2) / (float) (time10-time0) * 100);
printf("%.12f s, %.12f % : RESIZE IMAGE\n", (float) (time4-time3) / 1000000, (float) (time4-time3) / (float) (time10-time0) * 100);
printf("%.12f s, %.12f % : SETUP, MEMORY ALLOCATION\n", (float) (time5-time4) / 1000000, (float) (time5-time4) / (float) (time10-time0) * 100);
printf("%.12f s, %.12f % : EXTRACT IMAGE\n", (float) (time6-time5) / 1000000, (float) (time6-time5) / (float) (time10-time0) * 100);
printf("%.12f s, %.12f % : COMPUTE\n", (float) (time7-time6) / 1000000, (float) (time7-time6) / (float) (time10-time0) * 100);
printf("%.12f s, %.12f % : COMPRESS IMAGE\n", (float) (time8-time7) / 1000000, (float) (time8-time7) / (float) (time10-time0) * 100);
printf("%.12f s, %.12f % : SAVE IMAGE INTO FILE\n", (float) (time9-time8) / 1000000, (float) (time9-time8) / (float) (time10-time0) * 100);
printf("%.12f s, %.12f % : FREE MEMORY\n", (float) (time10-time9) / 1000000, (float) (time10-time9) / (float) (time10-time0) * 100);
printf("Total time:\n");
printf("%.12f s\n", (float) (time10-time0) / 1000000);
//====================================================================================================100
// END OF FILE
//====================================================================================================100
}
int
main( int argc,
char* argv []){
printf("WG size of kernel = %d \n", NUMBER_THREADS);
//======================================================================================================================================================150
// VARIABLES
//======================================================================================================================================================150
// time
long long time0;
long long time1;
long long time2;
long long time3;
long long time4;
long long time5;
long long time6;
// inputs image, input paramenters
fp* image_ori; // originalinput image
int image_ori_rows;
int image_ori_cols;
long image_ori_elem;
// inputs image, input paramenters
fp* image; // input image
int Nr,Nc; // IMAGE nbr of rows/cols/elements
long Ne;
// algorithm parameters
int niter; // nbr of iterations
fp lambda; // update step size
// size of IMAGE
int r1,r2,c1,c2; // row/col coordinates of uniform ROI
long NeROI; // ROI nbr of elements
// surrounding pixel indicies
int* iN;
int* iS;
int* jE;
int* jW;
// counters
int iter; // primary loop
long i; // image row
long j; // image col
// memory sizes
int mem_size_i;
int mem_size_j;
time0 = get_time();
//======================================================================================================================================================150
// INPUT ARGUMENTS
//======================================================================================================================================================150
if(argc != 5){
printf("ERROR: wrong number of arguments\n");
return 0;
}
else{
niter = atoi(argv[1]);
lambda = atof(argv[2]);
Nr = atoi(argv[3]); // it is 502 in the original image
Nc = atoi(argv[4]); // it is 458 in the original image
}
time1 = get_time();
//======================================================================================================================================================150
// READ INPUT FROM FILE
//======================================================================================================================================================150
//====================================================================================================100
// READ IMAGE (SIZE OF IMAGE HAS TO BE KNOWN)
//====================================================================================================100
image_ori_rows = 502;
image_ori_cols = 458;
image_ori_elem = image_ori_rows * image_ori_cols;
image_ori = (fp*)malloc(sizeof(fp) * image_ori_elem);
read_graphics( "../../data/srad/image.pgm",
image_ori,
image_ori_rows,
image_ori_cols,
1);
//====================================================================================================100
// RESIZE IMAGE (ASSUMING COLUMN MAJOR STORAGE OF image_orig)
//====================================================================================================100
Ne = Nr*Nc;
image = (fp*)malloc(sizeof(fp) * Ne);
resize( image_ori,
image_ori_rows,
image_ori_cols,
image,
Nr,
Nc,
1);
//====================================================================================================100
// End
//====================================================================================================100
time2 = get_time();
//======================================================================================================================================================150
// SETUP
//======================================================================================================================================================150
// variables
r1 = 0; // top row index of ROI
r2 = Nr - 1; // bottom row index of ROI
c1 = 0; // left column index of ROI
c2 = Nc - 1; // right column index of ROI
// ROI image size
NeROI = (r2-r1+1)*(c2-c1+1); // number of elements in ROI, ROI size
// allocate variables for surrounding pixels
mem_size_i = sizeof(int) * Nr; //
iN = (int *)malloc(mem_size_i) ; // north surrounding element
iS = (int *)malloc(mem_size_i) ; // south surrounding element
mem_size_j = sizeof(int) * Nc; //
jW = (int *)malloc(mem_size_j) ; // west surrounding element
jE = (int *)malloc(mem_size_j) ; // east surrounding element
// N/S/W/E indices of surrounding pixels (every element of IMAGE)
for (i=0; i<Nr; i++) {
iN[i] = i-1; // holds index of IMAGE row above
iS[i] = i+1; // holds index of IMAGE row below
}
for (j=0; j<Nc; j++) {
jW[j] = j-1; // holds index of IMAGE column on the left
jE[j] = j+1; // holds index of IMAGE column on the right
}
// N/S/W/E boundary conditions, fix surrounding indices outside boundary of image
iN[0] = 0; // changes IMAGE top row index from -1 to 0
iS[Nr-1] = Nr-1; // changes IMAGE bottom row index from Nr to Nr-1
jW[0] = 0; // changes IMAGE leftmost column index from -1 to 0
jE[Nc-1] = Nc-1; // changes IMAGE rightmost column index from Nc to Nc-1
time3= get_time();
//======================================================================================================================================================150
// KERNEL
//======================================================================================================================================================150
kernel_gpu_opencl_wrapper( image, // input image
Nr, // IMAGE nbr of rows
Nc, // IMAGE nbr of cols
Ne, // IMAGE nbr of elem
niter, // nbr of iterations
lambda, // update step size
NeROI, // ROI nbr of elements
iN,
iS,
jE,
jW,
iter, // primary loop
mem_size_i,
mem_size_j);
time4 = get_time();
//======================================================================================================================================================150
// WRITE OUTPUT IMAGE TO FILE
//======================================================================================================================================================150
write_graphics( "./output/image_out.pgm",
image,
Nr,
Nc,
1,
255);
time5 = get_time();
//======================================================================================================================================================150
// FREE MEMORY
//======================================================================================================================================================150
free(image_ori);
free(image);
free(iN);
free(iS);
free(jW);
free(jE);
time6 = get_time();
//======================================================================================================================================================150
// DISPLAY TIMING
//======================================================================================================================================================150
printf("Time spent in different stages of the application:\n");
printf("%.12f s, %.12f % : READ COMMAND LINE PARAMETERS\n", (fp) (time1-time0) / 1000000, (fp) (time1-time0) / (fp) (time5-time0) * 100);
printf("%.12f s, %.12f % : READ AND RESIZE INPUT IMAGE FROM FILE\n", (fp) (time2-time1) / 1000000, (fp) (time2-time1) / (fp) (time5-time0) * 100);
printf("%.12f s, %.12f % : SETUP\n", (fp) (time3-time2) / 1000000, (fp) (time3-time2) / (fp) (time5-time0) * 100);
printf("%.12f s, %.12f % : KERNEL\n", (fp) (time4-time3) / 1000000, (fp) (time4-time3) / (fp) (time5-time0) * 100);
printf("%.12f s, %.12f % : WRITE OUTPUT IMAGE TO FILE\n", (fp) (time5-time4) / 1000000, (fp) (time5-time4) / (fp) (time5-time0) * 100);
printf("%.12f s, %.12f % : FREE MEMORY\n", (fp) (time6-time5) / 1000000, (fp) (time6-time5) / (fp) (time5-time0) * 100);
printf("Total time:\n");
printf("%.12f s\n", (fp) (time5-time0) / 1000000);
}
