之前配置cuda跟opencv 的混合编程,发现只要使用的东西多半还要用opencv的代码编译一次,加上cuda的编译太浪费时间了,我看了几个博客,觉的opencl这个可能会比较好整,就把opencv里面的opencl代码的部分编译了一下,这个比较少,用的时候也能直接检测出来i7 自带的集成显卡:
Device name:Intel(R) HD Graphics 4600
后面调试程序时候发现,2.4.4版本好像还没有直接能用的dll,2.4.10的build文件夹中就有可以直接调用的现成dll也不用编译了,很是方便!
参考文献:
http://blog.csdn.net/pengx17/article/details/7880642
参数设置:
ocl_stereo_match -l=view1.png -r=view5.png -m=BM -n=64 -o=output.jpg
// ocl_stereo_match.cpp : 定义控制台应用程序的入口点。 // #include "stdafx.h" #include <iostream> #include <string> #include <sstream> #include <iomanip> #include <stdexcept> #include "opencv2/ocl/ocl.hpp" #include "opencv2/highgui/highgui.hpp" #pragma comment(lib,"opencv_core2410d.lib") #pragma comment(lib,"opencv_highgui2410d.lib") #pragma comment(lib,"opencv_ocl2410d.lib") #pragma comment(lib,"opencv_imgproc2410d.lib") using namespace cv; using namespace std; using namespace ocl; struct App { App(CommandLineParser& cmd); void run(); void handleKey(char key); void printParams() const; void workBegin() { work_begin = getTickCount(); } void workEnd() { int64 d = getTickCount() - work_begin; double f = getTickFrequency(); work_fps = f / d; } string method_str() const { switch (method) { case BM: return "BM"; case BP: return "BP"; case CSBP: return "CSBP"; } return ""; } string text() const { stringstream ss; ss << "(" << method_str() << ") FPS: " << setiosflags(ios::left) << setprecision(4) << work_fps; return ss.str(); } private: bool running, write_once; Mat left_src, right_src; Mat left, right; oclMat d_left, d_right; StereoBM_OCL bm; StereoBeliefPropagation bp; StereoConstantSpaceBP csbp; int64 work_begin; double work_fps; string l_img, r_img; string out_img; enum {BM, BP, CSBP} method; int ndisp; // Max disparity + 1 enum {GPU, CPU} type; }; int main(int argc, char** argv) { const char* keys = "{ h | help | false | print help message }" "{ l | left | | specify left image }" "{ r | right | | specify right image }" "{ m | method | BM | specify match method(BM/BP/CSBP) }" "{ n | ndisp | 64 | specify number of disparity levels }" "{ o | output | stereo_match_output.jpg | specify output path when input is images}"; CommandLineParser cmd(argc, argv, keys); if (cmd.get<bool>("help")) { cout << "Available options:" << endl; cmd.printParams(); return 0; } try { App app(cmd); cout << "Device name:" << cv::ocl::Context::getContext()->getDeviceInfo().deviceName << endl; app.run(); getchar(); } catch (const exception& e) { cout << "error: " << e.what() << endl; } return EXIT_SUCCESS; } App::App(CommandLineParser& cmd) : running(false),method(BM) { cout << "stereo_match_ocl sample "; cout << " Controls: " << " esc - exit " << " o - save output image once " << " p - print current parameters " << " g - convert source images into gray " << " m - change stereo match method " << " s - change Sobel prefiltering flag (for BM only) " << " 1/q - increase/decrease maximum disparity " << " 2/w - increase/decrease window size (for BM only) " << " 3/e - increase/decrease iteration count (for BP and CSBP only) " << " 4/r - increase/decrease level count (for BP and CSBP only) "; l_img = cmd.get<string>("l"); r_img = cmd.get<string>("r"); string mstr = cmd.get<string>("m"); if(mstr == "BM") method = BM; else if(mstr == "BP") method = BP; else if(mstr == "CSBP") method = CSBP; else cout << "unknown method! "; ndisp = cmd.get<int>("n"); out_img = cmd.get<string>("o"); write_once = false; } void App::run() { // Load images cout<<l_img; left_src = imread(l_img,1);//cvLoadImage(l_img.c_str());// right_src = imread(r_img,1);//cvLoadImage(r_img.c_str());// if (left_src.empty()) throw runtime_error("can't open file "" + l_img + """); if (right_src.empty()) throw runtime_error("can't open file "" + r_img + """); cvtColor(left_src, left, CV_BGR2GRAY); cvtColor(right_src, right, CV_BGR2GRAY); d_left.upload(left); d_right.upload(right); imshow("left", left); imshow("right", right); waitKey(0); // Set common parameters bm.ndisp = ndisp; bp.ndisp = ndisp; csbp.ndisp = ndisp; cout << endl; printParams(); running = true; while (running) { // Prepare disparity map of specified type Mat disp; oclMat d_disp; workBegin(); switch (method) { case BM: if (d_left.channels() > 1 || d_right.channels() > 1) { cout << "BM doesn't support color images "; cvtColor(left_src, left, CV_BGR2GRAY); cvtColor(right_src, right, CV_BGR2GRAY); cout << "image_channels: " << left.channels() << endl; d_left.upload(left); d_right.upload(right); imshow("left", left); imshow("right", right); } bm(d_left, d_right, d_disp); break; case BP: bp(d_left, d_right, d_disp); break; case CSBP: csbp(d_left, d_right, d_disp); break; } // Show results d_disp.download(disp); workEnd(); if (method != BM) { disp.convertTo(disp, 0); } putText(disp, text(), Point(5, 25), FONT_HERSHEY_SIMPLEX, 1.0, Scalar::all(255)); imshow("disparity", disp); if(write_once) { imwrite(out_img, disp); write_once = false; } handleKey((char)waitKey(3)); } } void App::printParams() const { cout << "--- Parameters --- "; cout << "image_size: (" << left.cols << ", " << left.rows << ") "; cout << "image_channels: " << left.channels() << endl; cout << "method: " << method_str() << endl << "ndisp: " << ndisp << endl; switch (method) { case BM: cout << "win_size: " << bm.winSize << endl; cout << "prefilter_sobel: " << bm.preset << endl; break; case BP: cout << "iter_count: " << bp.iters << endl; cout << "level_count: " << bp.levels << endl; break; case CSBP: cout << "iter_count: " << csbp.iters << endl; cout << "level_count: " << csbp.levels << endl; break; } cout << endl; } void App::handleKey(char key) { switch (key) { case 27: running = false; break; case 'p': case 'P': printParams(); break; case 'g': case 'G': if (left.channels() == 1 && method != BM) { left = left_src; right = right_src; } else { cvtColor(left_src, left, CV_BGR2GRAY); cvtColor(right_src, right, CV_BGR2GRAY); } d_left.upload(left); d_right.upload(right); cout << "image_channels: " << left.channels() << endl; imshow("left", left); imshow("right", right); break; case 'm': case 'M': switch (method) { case BM: method = BP; break; case BP: method = CSBP; break; case CSBP: method = BM; break; } cout << "method: " << method_str() << endl; break; case 's': case 'S': if (method == BM) { switch (bm.preset) { case StereoBM_OCL::BASIC_PRESET: bm.preset = StereoBM_OCL::PREFILTER_XSOBEL; break; case StereoBM_OCL::PREFILTER_XSOBEL: bm.preset = StereoBM_OCL::BASIC_PRESET; break; } cout << "prefilter_sobel: " << bm.preset << endl; } break; case '1': ndisp == 1 ? ndisp = 8 : ndisp += 8; cout << "ndisp: " << ndisp << endl; bm.ndisp = ndisp; bp.ndisp = ndisp; csbp.ndisp = ndisp; break; case 'q': case 'Q': ndisp = max(ndisp - 8, 1); cout << "ndisp: " << ndisp << endl; bm.ndisp = ndisp; bp.ndisp = ndisp; csbp.ndisp = ndisp; break; case '2': if (method == BM) { bm.winSize = min(bm.winSize + 1, 51); cout << "win_size: " << bm.winSize << endl; } break; case 'w': case 'W': if (method == BM) { bm.winSize = max(bm.winSize - 1, 2); cout << "win_size: " << bm.winSize << endl; } break; case '3': if (method == BP) { bp.iters += 1; cout << "iter_count: " << bp.iters << endl; } else if (method == CSBP) { csbp.iters += 1; cout << "iter_count: " << csbp.iters << endl; } break; case 'e': case 'E': if (method == BP) { bp.iters = max(bp.iters - 1, 1); cout << "iter_count: " << bp.iters << endl; } else if (method == CSBP) { csbp.iters = max(csbp.iters - 1, 1); cout << "iter_count: " << csbp.iters << endl; } break; case '4': if (method == BP) { bp.levels += 1; cout << "level_count: " << bp.levels << endl; } else if (method == CSBP) { csbp.levels += 1; cout << "level_count: " << csbp.levels << endl; } break; case 'r': case 'R': if (method == BP) { bp.levels = max(bp.levels - 1, 1); cout << "level_count: " << bp.levels << endl; } else if (method == CSBP) { csbp.levels = max(csbp.levels - 1, 1); cout << "level_count: " << csbp.levels << endl; } break; case 'o': case 'O': write_once = true; break; } }