int main(int argc, char **argv) {
float *d_luminance;
unsigned int *d_cdf;
size_t numRows, numCols;
unsigned int numBins;
std::string input_file;
std::string output_file;
std::string reference_file;
double perPixelError = 0.0;
double globalError = 0.0;
bool useEpsCheck = false;
switch (argc)
{
case 2:
input_file = std::string(argv[1]);
output_file = "HW3_output.png";
reference_file = "HW3_reference.png";
break;
case 3:
input_file = std::string(argv[1]);
output_file = std::string(argv[2]);
reference_file = "HW3_reference.png";
break;
case 4:
input_file = std::string(argv[1]);
output_file = std::string(argv[2]);
reference_file = std::string(argv[3]);
break;
case 6:
useEpsCheck=true;
input_file = std::string(argv[1]);
output_file = std::string(argv[2]);
reference_file = std::string(argv[3]);
perPixelError = atof(argv[4]);
globalError = atof(argv[5]);
break;
default:
std::cerr << "Usage: ./HW3 input_file [output_filename] [reference_filename] [perPixelError] [globalError]" << std::endl;
system("Pause");
exit(1);
}
//load the image and give us our input and output pointers
preProcess(&d_luminance, &d_cdf,
&numRows, &numCols, &numBins, input_file);
GpuTimer timer;
float min_logLum, max_logLum;
min_logLum = 0.f;
max_logLum = 1.f;
timer.Start();
//call the students' code
your_histogram_and_prefixsum(d_luminance, d_cdf, min_logLum, max_logLum,
numRows, numCols, numBins);
timer.Stop();
cudaDeviceSynchronize(); checkCudaErrors(cudaGetLastError());
int err = printf("Your code ran in: %f msecs.\n", timer.Elapsed());
if (err < 0) {
//Couldn't print! Probably the student closed stdout - bad news
std::cerr << "Couldn't print timing information! STDOUT Closed!" << std::endl;
system("Pause");
exit(1);
}
float *h_luminance = (float *) malloc(sizeof(float)*numRows*numCols);
unsigned int *h_cdf = (unsigned int *) malloc(sizeof(unsigned int)*numBins);
checkCudaErrors(cudaMemcpy(h_luminance, d_luminance, numRows*numCols*sizeof(float), cudaMemcpyDeviceToHost));
//check results and output the tone-mapped image
postProcess(output_file, numRows, numCols, min_logLum, max_logLum);
for (size_t i = 1; i < numCols * numRows; ++i) {
min_logLum = std::min(h_luminance[i], min_logLum);
max_logLum = std::max(h_luminance[i], max_logLum);
}
referenceCalculation(h_luminance, h_cdf, numRows, numCols, numBins, min_logLum, max_logLum);
checkCudaErrors(cudaMemcpy(d_cdf, h_cdf, sizeof(unsigned int) * numBins, cudaMemcpyHostToDevice));
//check results and output the tone-mapped image
postProcess(reference_file, numRows, numCols, min_logLum, max_logLum);
cleanupGlobalMemory();
compareImages(reference_file, output_file, useEpsCheck, perPixelError, globalError);
system("pause");
return 0;
}
int main(int argc, char **argv) {
uchar4 *h_rgbaImage, *d_rgbaImage;
unsigned char *h_greyImage, *d_greyImage;
std::string input_file;
std::string output_file;
std::string reference_file;
double perPixelError = 0.0;
double globalError = 0.0;
bool useEpsCheck = false;
switch (argc)
{
case 2:
input_file = std::string(argv[1]);
output_file = "HW1_output.png";
reference_file = "HW1_reference.png";
break;
case 3:
input_file = std::string(argv[1]);
output_file = std::string(argv[2]);
reference_file = "HW1_reference.png";
break;
case 4:
input_file = std::string(argv[1]);
output_file = std::string(argv[2]);
reference_file = std::string(argv[3]);
break;
case 6:
useEpsCheck=true;
input_file = std::string(argv[1]);
output_file = std::string(argv[2]);
reference_file = std::string(argv[3]);
perPixelError = atof(argv[4]);
globalError = atof(argv[5]);
break;
default:
std::cerr << "Usage: ./HW1 input_file [output_filename] [reference_filename] [perPixelError] [globalError]" << std::endl;
exit(1);
}
//load the image and give us our input and output pointers
preProcess(&h_rgbaImage, &h_greyImage, &d_rgbaImage, &d_greyImage, input_file);
GpuTimer timer;
timer.Start();
//call the students' code
your_rgba_to_greyscale(h_rgbaImage, d_rgbaImage, d_greyImage, numRows(), numCols());
timer.Stop();
cudaDeviceSynchronize(); checkCudaErrors(cudaGetLastError());
int err = printf("Your code ran in: %f msecs.\n", timer.Elapsed());
if (err < 0) {
//Couldn't print! Probably the student closed stdout - bad news
std::cerr << "Couldn't print timing information! STDOUT Closed!" << std::endl;
exit(1);
}
size_t numPixels = numRows()*numCols();
checkCudaErrors(cudaMemcpy(h_greyImage, d_greyImage, sizeof(unsigned char) * numPixels, cudaMemcpyDeviceToHost));
//check results and output the grey image
postProcess(output_file, h_greyImage);
referenceCalculation(h_rgbaImage, h_greyImage, numRows(), numCols());
postProcess(reference_file, h_greyImage);
//generateReferenceImage(input_file, reference_file);
compareImages(reference_file, output_file, useEpsCheck, perPixelError,
globalError);
cleanup();
return 0;
}
int main(int argc, char **argv) {
uchar4 *h_inputImageRGBA, *d_inputImageRGBA;
uchar4 *h_outputImageRGBA, *d_outputImageRGBA;
unsigned char *d_redBlurred, *d_greenBlurred, *d_blueBlurred;
float *h_filter;
int filterWidth;
std::string input_file;
std::string output_file;
std::string reference_file;
double perPixelError = 0.0;
double globalError = 0.0;
bool useEpsCheck = false;
switch (argc)
{
case 2:
input_file = std::string(argv[1]);
output_file = "HW2_output.png";
reference_file = "HW2_reference.png";
break;
case 3:
input_file = std::string(argv[1]);
output_file = std::string(argv[2]);
reference_file = "HW2_reference.png";
break;
case 4:
input_file = std::string(argv[1]);
output_file = std::string(argv[2]);
reference_file = std::string(argv[3]);
break;
case 6:
useEpsCheck=true;
input_file = std::string(argv[1]);
output_file = std::string(argv[2]);
reference_file = std::string(argv[3]);
perPixelError = atof(argv[4]);
globalError = atof(argv[5]);
break;
default:
std::cerr << "Usage: ./HW2 input_file [output_filename] [reference_filename] [perPixelError] [globalError]" << std::endl;
exit(1);
}
//load the image and give us our input and output pointers
preProcess(&h_inputImageRGBA, &h_outputImageRGBA, &d_inputImageRGBA, &d_outputImageRGBA,
&d_redBlurred, &d_greenBlurred, &d_blueBlurred,
&h_filter, &filterWidth, input_file);
allocateMemoryAndCopyToGPU(numRows(), numCols(), h_filter, filterWidth);
/*
for(int i=0;i<filterWidth; ++i) {
for(int j=0;j<filterWidth; ++j) {
std::cerr<<h_filter[i*filterWidth + j]<<" ";
}
std::cerr<<std::endl;
}
*/
GpuTimer timer;
timer.Start();
//call the students' code
your_gaussian_blur(h_inputImageRGBA, d_inputImageRGBA, d_outputImageRGBA, numRows(), numCols(),
d_redBlurred, d_greenBlurred, d_blueBlurred, filterWidth);
timer.Stop();
cudaDeviceSynchronize(); checkCudaErrors(cudaGetLastError());
int err = printf("Your code ran in: %f msecs.\n", timer.Elapsed());
if (err < 0) {
//Couldn't print! Probably the student closed stdout - bad news
std::cerr << "Couldn't print timing information! STDOUT Closed!" << std::endl;
exit(1);
}
//check results and output the blurred image
size_t numPixels = numRows()*numCols();
//copy the output back to the host
checkCudaErrors(cudaMemcpy(h_outputImageRGBA, d_outputImageRGBA__, sizeof(uchar4) * numPixels, cudaMemcpyDeviceToHost));
postProcess(output_file, h_outputImageRGBA);
referenceCalculation(h_inputImageRGBA, h_outputImageRGBA,
numRows(), numCols(),
h_filter, filterWidth);
postProcess(reference_file, h_outputImageRGBA);
// Cheater easy way with OpenCV
//generateReferenceImage(input_file, reference_file, filterWidth);
compareImages(reference_file, output_file, useEpsCheck, perPixelError, globalError);
checkCudaErrors(cudaFree(d_redBlurred));
checkCudaErrors(cudaFree(d_greenBlurred));
checkCudaErrors(cudaFree(d_blueBlurred));
cleanUp();
return 0;
}
