00001 /*!@file CUDA/test_wrap_cuda_debayer_display.C Testing CudaImageDisplayGL.C */ 00002 00003 // //////////////////////////////////////////////////////////////////// // 00004 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2000-2005 // 00005 // by the University of Southern California (USC) and the iLab at USC. // 00006 // See http://iLab.usc.edu for information about this project. // 00007 // //////////////////////////////////////////////////////////////////// // 00008 // Major portions of the iLab Neuromorphic Vision Toolkit are protected // 00009 // under the U.S. patent ``Computation of Intrinsic Perceptual Saliency // 00010 // in Visual Environments, and Applications'' by Christof Koch and // 00011 // Laurent Itti, California Institute of Technology, 2001 (patent // 00012 // pending; application number 09/912,225 filed July 23, 2001; see // 00013 // http://pair.uspto.gov/cgi-bin/final/home.pl for current status). // 00014 // //////////////////////////////////////////////////////////////////// // 00015 // This file is part of the iLab Neuromorphic Vision C++ Toolkit. // 00016 // // 00017 // The iLab Neuromorphic Vision C++ Toolkit is free software; you can // 00018 // redistribute it and/or modify it under the terms of the GNU General // 00019 // Public License as published by the Free Software Foundation; either // 00020 // version 2 of the License, or (at your option) any later version. // 00021 // // 00022 // The iLab Neuromorphic Vision C++ Toolkit is distributed in the hope // 00023 // that it will be useful, but WITHOUT ANY WARRANTY; without even the // 00024 // implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR // 00025 // PURPOSE. See the GNU General Public License for more details. // 00026 // // 00027 // You should have received a copy of the GNU General Public License // 00028 // along with the iLab Neuromorphic Vision C++ Toolkit; if not, write // 00029 // to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, // 00030 // Boston, MA 02111-1307 USA. // 00031 // //////////////////////////////////////////////////////////////////// // 00032 // 00033 00034 00035 00036 #include "Image/Image.H" 00037 #include "Image/ImageSet.H" 00038 #include "Image/Pixels.H" 00039 #include "Image/ColorOps.H" 00040 #include "Raster/Raster.H" 00041 #include "CUDA/CudaImage.H" 00042 #include "CUDA/wrap_c_cuda.h" 00043 #include "CUDA/cutil.h" 00044 #include "CUDA/CudaColorOps.H" 00045 #include "CUDA/CudaDevices.H" 00046 #include "CUDA/CudaImageSet.H" 00047 #include "CUDA/CudaImageSetOps.H" 00048 #include "CUDA/CUDAdebayer.H" 00049 #include "Util/fpu.H" 00050 #include <cmath> 00051 #include <fstream> 00052 #include <sys/time.h> 00053 #include "CUDA/CudaImageDisplayGL.H" 00054 // ###################################################################### 00055 00056 00057 void bayer_test(int argc,char **argv) 00058 { 00059 //Variable allocations 00060 Image<float> i = Raster::ReadFloat(argv[1]); 00061 int deviceNum = 0 ; 00062 CudaDevices::displayProperties(deviceNum); 00063 CudaImage<PixRGB<float> > res_cuda; 00064 CudaImage<float> f; 00065 CudaImage<float> res_cuda_r_only; 00066 CudaImage<float> res_cuda_g_only; 00067 CudaImage<float> res_cuda_b_only; 00068 Image<PixRGB<float> > res_cuda_r; 00069 Image<PixRGB<float> > res_cuda_g; 00070 Image<PixRGB<float> > res_cuda_b; 00071 cudaEvent_t start,stop; 00072 cudaEventCreate(&start); 00073 cudaEventCreate(&stop); 00074 cudaEventRecord(start,0); 00075 00076 //Getting the Debayerd Image 00077 f = CudaImage<float>(i,GLOBAL_DEVICE_MEMORY,deviceNum); 00078 res_cuda = cuda_1_debayer(f); 00079 // cuda_init_layout(nDesired,layoutW,layoutH); 00080 // for(int i=0;i<nDesired;i++) 00081 // { 00082 // cuda_generate_layout(f[i],i,startX,startY,sizeX,sizeY); 00083 // } 00084 00085 00086 //iDispGL(res_cuda,argc,argv,0,0,1920,1080,1.0); 00087 00088 cudaEventRecord(stop,0); 00089 cudaEventSynchronize(stop); 00090 float elapsedTime; 00091 cudaEventElapsedTime(&elapsedTime,start,stop); 00092 printf("Elasped Time GPU in ms for 1 iteration : %f\n",elapsedTime); 00093 cudaEventDestroy(start); 00094 cudaEventDestroy(stop); 00095 00096 //Printing the images 00097 00098 //Get color components 00099 cudaGetComponents(res_cuda,res_cuda_r_only,res_cuda_g_only,res_cuda_b_only); 00100 00101 //Make R,0,0 from r only 00102 Image<float> zero(res_cuda.getDims(),ZEROS); 00103 00104 res_cuda_r = makeRGB(res_cuda_r_only.exportToImage(),zero,zero); 00105 res_cuda_g = makeRGB(zero,res_cuda_g_only.exportToImage(),zero); 00106 res_cuda_b = makeRGB(zero,zero,res_cuda_b_only.exportToImage()); 00107 00108 Raster::WriteRGB(res_cuda_r,"test_gpu_r.ppm"); 00109 Raster::WriteRGB(res_cuda_g,"test_gpu_g.ppm"); 00110 Raster::WriteRGB(res_cuda_b,"test_gpu_b.ppm"); 00111 //############################################################## 00112 Image<PixRGB<float> > res_copy_cuda = res_cuda.exportToImage(); 00113 Raster::WriteRGB(res_copy_cuda,"test_gpu.ppm"); 00114 //imageDisplayGL(res_cuda.getAryPtr(),argc,argv); 00115 } 00116 00117 00118 00119 int main(int argc, char **argv) 00120 { 00121 bayer_test(argc,argv); 00122 }