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Open Source Computer Vision Library
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384 lines
9.8 KiB
384 lines
9.8 KiB
#include <iostream> |
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#include <string> |
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#include <sstream> |
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#include <iomanip> |
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#include <stdexcept> |
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#include "opencv2/ocl/ocl.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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using namespace cv; |
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using namespace std; |
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using namespace ocl; |
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struct App |
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{ |
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App(CommandLineParser& cmd); |
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void run(); |
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void handleKey(char key); |
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void printParams() const; |
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void workBegin() |
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{ |
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work_begin = getTickCount(); |
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} |
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void workEnd() |
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{ |
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int64 d = getTickCount() - work_begin; |
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double f = getTickFrequency(); |
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work_fps = f / d; |
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} |
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string method_str() const |
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{ |
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switch (method) |
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{ |
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case BM: |
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return "BM"; |
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case BP: |
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return "BP"; |
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case CSBP: |
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return "CSBP"; |
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} |
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return ""; |
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} |
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string text() const |
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{ |
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stringstream ss; |
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ss << "(" << method_str() << ") FPS: " << setiosflags(ios::left) |
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<< setprecision(4) << work_fps; |
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return ss.str(); |
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} |
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private: |
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bool running; |
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Mat left_src, right_src; |
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Mat left, right; |
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oclMat d_left, d_right; |
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StereoBM_OCL bm; |
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StereoBeliefPropagation bp; |
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StereoConstantSpaceBP csbp; |
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int64 work_begin; |
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double work_fps; |
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string l_img, r_img; |
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string out_img; |
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enum {BM, BP, CSBP} method; |
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int ndisp; // Max disparity + 1 |
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enum {GPU, CPU} type; |
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}; |
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int main(int argc, char** argv) |
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{ |
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const char* keys = |
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"{ h | help | false | print help message }" |
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"{ l | left | | specify left image }" |
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"{ r | right | | specify right image }" |
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"{ m | method | BM | specify match method(BM/BP/CSBP) }" |
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"{ n | ndisp | 64 | specify number of disparity levels }" |
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"{ s | cpu_ocl | false | use cpu or gpu as ocl device to process the image }" |
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"{ o | output | stereo_match_output.jpg | specify output path when input is images}"; |
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CommandLineParser cmd(argc, argv, keys); |
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if (cmd.get<bool>("help")) |
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{ |
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cout << "Avaible options:" << endl; |
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cmd.printParams(); |
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return 0; |
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} |
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try |
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{ |
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App app(cmd); |
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int flag = CVCL_DEVICE_TYPE_GPU; |
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if(cmd.get<bool>("s") == true) |
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flag = CVCL_DEVICE_TYPE_CPU; |
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vector<Info> info; |
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if(getDevice(info, flag) == 0) |
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{ |
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throw runtime_error("Error: Did not find a valid OpenCL device!"); |
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} |
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cout << "Device name:" << info[0].DeviceName[0] << endl; |
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app.run(); |
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} |
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catch (const exception& e) |
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{ |
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cout << "error: " << e.what() << endl; |
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} |
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return 0; |
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} |
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App::App(CommandLineParser& cmd) |
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: running(false),method(BM) |
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{ |
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cout << "stereo_match_ocl sample\n"; |
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cout << "\nControls:\n" |
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<< "\tesc - exit\n" |
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<< "\tp - print current parameters\n" |
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<< "\tg - convert source images into gray\n" |
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<< "\tm - change stereo match method\n" |
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<< "\ts - change Sobel prefiltering flag (for BM only)\n" |
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<< "\t1/q - increase/decrease maximum disparity\n" |
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<< "\t2/w - increase/decrease window size (for BM only)\n" |
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<< "\t3/e - increase/decrease iteration count (for BP and CSBP only)\n" |
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<< "\t4/r - increase/decrease level count (for BP and CSBP only)\n"; |
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l_img = cmd.get<string>("l"); |
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r_img = cmd.get<string>("r"); |
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string mstr = cmd.get<string>("m"); |
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if(mstr == "BM") method = BM; |
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else if(mstr == "BP") method = BP; |
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else if(mstr == "CSBP") method = CSBP; |
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else cout << "unknown method!\n"; |
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ndisp = cmd.get<int>("n"); |
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out_img = cmd.get<string>("o"); |
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} |
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void App::run() |
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{ |
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// Load images |
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left_src = imread(l_img); |
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right_src = imread(r_img); |
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if (left_src.empty()) throw runtime_error("can't open file \"" + l_img + "\""); |
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if (right_src.empty()) throw runtime_error("can't open file \"" + r_img + "\""); |
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cvtColor(left_src, left, CV_BGR2GRAY); |
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cvtColor(right_src, right, CV_BGR2GRAY); |
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d_left.upload(left); |
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d_right.upload(right); |
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imshow("left", left); |
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imshow("right", right); |
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// Set common parameters |
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bm.ndisp = ndisp; |
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bp.ndisp = ndisp; |
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csbp.ndisp = ndisp; |
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cout << endl; |
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printParams(); |
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running = true; |
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bool written = false; |
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while (running) |
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{ |
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// Prepare disparity map of specified type |
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Mat disp; |
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oclMat d_disp; |
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workBegin(); |
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switch (method) |
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{ |
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case BM: |
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if (d_left.channels() > 1 || d_right.channels() > 1) |
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{ |
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cout << "BM doesn't support color images\n"; |
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cvtColor(left_src, left, CV_BGR2GRAY); |
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cvtColor(right_src, right, CV_BGR2GRAY); |
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cout << "image_channels: " << left.channels() << endl; |
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d_left.upload(left); |
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d_right.upload(right); |
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imshow("left", left); |
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imshow("right", right); |
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} |
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bm(d_left, d_right, d_disp); |
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break; |
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case BP: |
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bp(d_left, d_right, d_disp); |
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break; |
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case CSBP: |
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csbp(d_left, d_right, d_disp); |
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break; |
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} |
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// Show results |
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d_disp.download(disp); |
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workEnd(); |
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if (method != BM) |
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{ |
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disp.convertTo(disp, 0); |
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} |
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putText(disp, text(), Point(5, 25), FONT_HERSHEY_SIMPLEX, 1.0, Scalar::all(255)); |
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imshow("disparity", disp); |
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if(!written) |
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{ |
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imwrite(out_img, disp); |
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written = true; |
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} |
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handleKey((char)waitKey(3)); |
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} |
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} |
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void App::printParams() const |
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{ |
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cout << "--- Parameters ---\n"; |
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cout << "image_size: (" << left.cols << ", " << left.rows << ")\n"; |
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cout << "image_channels: " << left.channels() << endl; |
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cout << "method: " << method_str() << endl |
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<< "ndisp: " << ndisp << endl; |
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switch (method) |
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{ |
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case BM: |
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cout << "win_size: " << bm.winSize << endl; |
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cout << "prefilter_sobel: " << bm.preset << endl; |
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break; |
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case BP: |
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cout << "iter_count: " << bp.iters << endl; |
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cout << "level_count: " << bp.levels << endl; |
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break; |
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case CSBP: |
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cout << "iter_count: " << csbp.iters << endl; |
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cout << "level_count: " << csbp.levels << endl; |
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break; |
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} |
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cout << endl; |
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} |
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void App::handleKey(char key) |
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{ |
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switch (key) |
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{ |
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case 27: |
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running = false; |
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break; |
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case 'p': |
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case 'P': |
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printParams(); |
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break; |
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case 'g': |
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case 'G': |
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if (left.channels() == 1 && method != BM) |
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{ |
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left = left_src; |
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right = right_src; |
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} |
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else |
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{ |
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cvtColor(left_src, left, CV_BGR2GRAY); |
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cvtColor(right_src, right, CV_BGR2GRAY); |
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} |
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d_left.upload(left); |
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d_right.upload(right); |
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cout << "image_channels: " << left.channels() << endl; |
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imshow("left", left); |
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imshow("right", right); |
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break; |
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case 'm': |
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case 'M': |
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switch (method) |
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{ |
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case BM: |
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method = BP; |
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break; |
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case BP: |
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method = CSBP; |
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break; |
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case CSBP: |
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method = BM; |
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break; |
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} |
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cout << "method: " << method_str() << endl; |
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break; |
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case 's': |
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case 'S': |
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if (method == BM) |
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{ |
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switch (bm.preset) |
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{ |
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case StereoBM_OCL::BASIC_PRESET: |
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bm.preset = StereoBM_OCL::PREFILTER_XSOBEL; |
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break; |
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case StereoBM_OCL::PREFILTER_XSOBEL: |
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bm.preset = StereoBM_OCL::BASIC_PRESET; |
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break; |
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} |
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cout << "prefilter_sobel: " << bm.preset << endl; |
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} |
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break; |
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case '1': |
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ndisp == 1 ? ndisp = 8 : ndisp += 8; |
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cout << "ndisp: " << ndisp << endl; |
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bm.ndisp = ndisp; |
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bp.ndisp = ndisp; |
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csbp.ndisp = ndisp; |
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break; |
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case 'q': |
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case 'Q': |
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ndisp = max(ndisp - 8, 1); |
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cout << "ndisp: " << ndisp << endl; |
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bm.ndisp = ndisp; |
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bp.ndisp = ndisp; |
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csbp.ndisp = ndisp; |
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break; |
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case '2': |
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if (method == BM) |
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{ |
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bm.winSize = min(bm.winSize + 1, 51); |
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cout << "win_size: " << bm.winSize << endl; |
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} |
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break; |
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case 'w': |
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case 'W': |
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if (method == BM) |
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{ |
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bm.winSize = max(bm.winSize - 1, 2); |
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cout << "win_size: " << bm.winSize << endl; |
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} |
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break; |
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case '3': |
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if (method == BP) |
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{ |
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bp.iters += 1; |
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cout << "iter_count: " << bp.iters << endl; |
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} |
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else if (method == CSBP) |
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{ |
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csbp.iters += 1; |
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cout << "iter_count: " << csbp.iters << endl; |
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} |
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break; |
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case 'e': |
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case 'E': |
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if (method == BP) |
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{ |
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bp.iters = max(bp.iters - 1, 1); |
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cout << "iter_count: " << bp.iters << endl; |
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} |
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else if (method == CSBP) |
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{ |
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csbp.iters = max(csbp.iters - 1, 1); |
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cout << "iter_count: " << csbp.iters << endl; |
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} |
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break; |
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case '4': |
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if (method == BP) |
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{ |
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bp.levels += 1; |
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cout << "level_count: " << bp.levels << endl; |
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} |
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else if (method == CSBP) |
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{ |
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csbp.levels += 1; |
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cout << "level_count: " << csbp.levels << endl; |
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} |
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break; |
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case 'r': |
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case 'R': |
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if (method == BP) |
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{ |
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bp.levels = max(bp.levels - 1, 1); |
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cout << "level_count: " << bp.levels << endl; |
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} |
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else if (method == CSBP) |
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{ |
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csbp.levels = max(csbp.levels - 1, 1); |
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cout << "level_count: " << csbp.levels << endl; |
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} |
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break; |
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} |
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} |
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