mirror of https://github.com/opencv/opencv.git
parent
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commit
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3 changed files with 524 additions and 0 deletions
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SET(OPENCV_OCL_SAMPLES_REQUIRED_DEPS opencv_core opencv_flann opencv_imgproc opencv_highgui |
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opencv_ml opencv_video opencv_objdetect opencv_features2d |
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opencv_calib3d opencv_legacy opencv_contrib opencv_ocl |
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opencv_nonfree) |
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ocv_check_dependencies(${OPENCV_OCL_SAMPLES_REQUIRED_DEPS}) |
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if(BUILD_EXAMPLES AND OCV_DEPENDENCIES_FOUND) |
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set(project "ocl") |
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string(TOUPPER "${project}" project_upper) |
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project("${project}_samples") |
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ocv_include_modules(${OPENCV_OCL_SAMPLES_REQUIRED_DEPS}) |
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if(HAVE_OPENCL) |
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ocv_include_directories(${OPENCL_INCLUDE_DIR}) |
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endif() |
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if(CMAKE_COMPILER_IS_GNUCXX AND NOT ENABLE_NOISY_WARNINGS) |
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set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Wno-unused-function") |
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endif() |
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# --------------------------------------------- |
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# Define executable targets |
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# --------------------------------------------- |
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MACRO(OPENCV_DEFINE_OCL_EXAMPLE name srcs) |
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set(the_target "example_${project}_${name}") |
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add_executable(${the_target} ${srcs}) |
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target_link_libraries(${the_target} ${OPENCV_LINKER_LIBS} ${OPENCV_OCL_SAMPLES_REQUIRED_DEPS}) |
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set_target_properties(${the_target} PROPERTIES |
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OUTPUT_NAME "${name}_${project}" |
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PROJECT_LABEL "(EXAMPLE_${project_upper}) ${name}") |
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if(ENABLE_SOLUTION_FOLDERS) |
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set_target_properties(${the_target} PROPERTIES FOLDER "samples//${project}") |
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endif() |
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if(WIN32) |
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if(MSVC AND NOT BUILD_SHARED_LIBS) |
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set_target_properties(${the_target} PROPERTIES LINK_FLAGS "/NODEFAULTLIB:atlthunk.lib /NODEFAULTLIB:atlsd.lib /DEBUG") |
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endif() |
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install(TARGETS ${the_target} RUNTIME DESTINATION "samples/${project}" COMPONENT main) |
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endif() |
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ENDMACRO() |
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file(GLOB all_samples RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} *.cpp) |
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foreach(sample_filename ${all_samples}) |
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get_filename_component(sample ${sample_filename} NAME_WE) |
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file(GLOB sample_srcs RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} ${sample}.*) |
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OPENCV_DEFINE_OCL_EXAMPLE(${sample} ${sample_srcs}) |
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endforeach() |
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endif() |
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if (NOT WIN32) |
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file(GLOB install_list *.c *.cpp *.jpg *.png *.data makefile.* build_all.sh *.dsp *.cmd ) |
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install(FILES ${install_list} |
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DESTINATION share/opencv/samples/${project} |
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PERMISSIONS OWNER_READ GROUP_READ WORLD_READ) |
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endif() |
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#include <iostream> |
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#include <fstream> |
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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 std; |
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using namespace cv; |
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bool help_showed = false; |
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class Args |
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{ |
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public: |
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Args(); |
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static Args read(int argc, char** argv); |
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string src; |
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bool src_is_video; |
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bool src_is_camera; |
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int camera_id; |
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bool write_video; |
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string dst_video; |
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double dst_video_fps; |
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bool make_gray; |
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bool resize_src; |
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int width, height; |
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double scale; |
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int nlevels; |
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int gr_threshold; |
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double hit_threshold; |
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bool hit_threshold_auto; |
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int win_width; |
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int win_stride_width, win_stride_height; |
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bool gamma_corr; |
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}; |
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class App |
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{ |
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public: |
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App(const Args& s); |
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void run(); |
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void handleKey(char key); |
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void hogWorkBegin(); |
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void hogWorkEnd(); |
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string hogWorkFps() const; |
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void workBegin(); |
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void workEnd(); |
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string workFps() const; |
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string message() const; |
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private: |
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App operator=(App&); |
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Args args; |
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bool running; |
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bool use_gpu; |
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bool make_gray; |
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double scale; |
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int gr_threshold; |
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int nlevels; |
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double hit_threshold; |
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bool gamma_corr; |
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int64 hog_work_begin; |
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double hog_work_fps; |
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int64 work_begin; |
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double work_fps; |
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}; |
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static void printHelp() |
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{ |
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cout << "Histogram of Oriented Gradients descriptor and detector sample.\n" |
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<< "\nUsage: hog_gpu\n" |
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<< " (<image>|--video <vide>|--camera <camera_id>) # frames source\n" |
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<< " [--make_gray <true/false>] # convert image to gray one or not\n" |
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<< " [--resize_src <true/false>] # do resize of the source image or not\n" |
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<< " [--width <int>] # resized image width\n" |
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<< " [--height <int>] # resized image height\n" |
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<< " [--hit_threshold <double>] # classifying plane distance threshold (0.0 usually)\n" |
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<< " [--scale <double>] # HOG window scale factor\n" |
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<< " [--nlevels <int>] # max number of HOG window scales\n" |
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<< " [--win_width <int>] # width of the window (48 or 64)\n" |
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<< " [--win_stride_width <int>] # distance by OX axis between neighbour wins\n" |
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<< " [--win_stride_height <int>] # distance by OY axis between neighbour wins\n" |
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<< " [--gr_threshold <int>] # merging similar rects constant\n" |
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<< " [--gamma_correct <int>] # do gamma correction or not\n" |
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<< " [--write_video <bool>] # write video or not\n" |
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<< " [--dst_video <path>] # output video path\n" |
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<< " [--dst_video_fps <double>] # output video fps\n"; |
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help_showed = true; |
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} |
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int main(int argc, char** argv) |
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{ |
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try |
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{ |
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if (argc < 2) |
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printHelp(); |
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Args args = Args::read(argc, argv); |
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if (help_showed) |
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return -1; |
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App app(args); |
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app.run(); |
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} |
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catch (const Exception& e) { return cout << "error: " << e.what() << endl, 1; } |
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catch (const exception& e) { return cout << "error: " << e.what() << endl, 1; } |
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catch(...) { return cout << "unknown exception" << endl, 1; } |
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return 0; |
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} |
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Args::Args() |
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{ |
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src_is_video = false; |
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src_is_camera = false; |
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camera_id = 0; |
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write_video = false; |
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dst_video_fps = 24.; |
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make_gray = false; |
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resize_src = false; |
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width = 640; |
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height = 480; |
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scale = 1.05; |
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nlevels = 13; |
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gr_threshold = 8; |
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hit_threshold = 1.4; |
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hit_threshold_auto = true; |
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win_width = 48; |
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win_stride_width = 8; |
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win_stride_height = 8; |
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gamma_corr = true; |
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} |
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Args Args::read(int argc, char** argv) |
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{ |
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Args args; |
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for (int i = 1; i < argc; i++) |
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{ |
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if (string(argv[i]) == "--make_gray") args.make_gray = (string(argv[++i]) == "true"); |
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else if (string(argv[i]) == "--resize_src") args.resize_src = (string(argv[++i]) == "true"); |
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else if (string(argv[i]) == "--width") args.width = atoi(argv[++i]); |
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else if (string(argv[i]) == "--height") args.height = atoi(argv[++i]); |
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else if (string(argv[i]) == "--hit_threshold") |
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{ |
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args.hit_threshold = atof(argv[++i]); |
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args.hit_threshold_auto = false; |
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} |
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else if (string(argv[i]) == "--scale") args.scale = atof(argv[++i]); |
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else if (string(argv[i]) == "--nlevels") args.nlevels = atoi(argv[++i]); |
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else if (string(argv[i]) == "--win_width") args.win_width = atoi(argv[++i]); |
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else if (string(argv[i]) == "--win_stride_width") args.win_stride_width = atoi(argv[++i]); |
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else if (string(argv[i]) == "--win_stride_height") args.win_stride_height = atoi(argv[++i]); |
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else if (string(argv[i]) == "--gr_threshold") args.gr_threshold = atoi(argv[++i]); |
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else if (string(argv[i]) == "--gamma_correct") args.gamma_corr = (string(argv[++i]) == "true"); |
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else if (string(argv[i]) == "--write_video") args.write_video = (string(argv[++i]) == "true"); |
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else if (string(argv[i]) == "--dst_video") args.dst_video = argv[++i]; |
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else if (string(argv[i]) == "--dst_video_fps") args.dst_video_fps = atof(argv[++i]); |
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else if (string(argv[i]) == "--help") printHelp(); |
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else if (string(argv[i]) == "--video") { args.src = argv[++i]; args.src_is_video = true; } |
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else if (string(argv[i]) == "--camera") { args.camera_id = atoi(argv[++i]); args.src_is_camera = true; } |
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else if (args.src.empty()) args.src = argv[i]; |
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else throw runtime_error((string("unknown key: ") + argv[i])); |
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} |
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return args; |
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} |
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App::App(const Args& s) |
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{ |
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args = s; |
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cout << "\nControls:\n" |
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<< "\tESC - exit\n" |
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<< "\tm - change mode GPU <-> CPU\n" |
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<< "\tg - convert image to gray or not\n" |
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<< "\t1/q - increase/decrease HOG scale\n" |
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<< "\t2/w - increase/decrease levels count\n" |
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<< "\t3/e - increase/decrease HOG group threshold\n" |
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<< "\t4/r - increase/decrease hit threshold\n" |
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<< endl; |
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use_gpu = true; |
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make_gray = args.make_gray; |
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scale = args.scale; |
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gr_threshold = args.gr_threshold; |
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nlevels = args.nlevels; |
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if (args.hit_threshold_auto) |
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args.hit_threshold = args.win_width == 48 ? 1.4 : 0.; |
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hit_threshold = args.hit_threshold; |
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gamma_corr = args.gamma_corr; |
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if (args.win_width != 64 && args.win_width != 48) |
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args.win_width = 64; |
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cout << "Scale: " << scale << endl; |
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if (args.resize_src) |
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cout << "Resized source: (" << args.width << ", " << args.height << ")\n"; |
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cout << "Group threshold: " << gr_threshold << endl; |
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cout << "Levels number: " << nlevels << endl; |
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cout << "Win width: " << args.win_width << endl; |
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cout << "Win stride: (" << args.win_stride_width << ", " << args.win_stride_height << ")\n"; |
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cout << "Hit threshold: " << hit_threshold << endl; |
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cout << "Gamma correction: " << gamma_corr << endl; |
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cout << endl; |
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} |
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void App::run() |
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{ |
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std::vector<ocl::Info> oclinfo; |
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ocl::getDevice(oclinfo); |
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running = true; |
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cv::VideoWriter video_writer; |
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Size win_size(args.win_width, args.win_width * 2); //(64, 128) or (48, 96)
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Size win_stride(args.win_stride_width, args.win_stride_height); |
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// Create HOG descriptors and detectors here
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vector<float> detector; |
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if (win_size == Size(64, 128)) |
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detector = cv::ocl::HOGDescriptor::getPeopleDetector64x128(); |
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else |
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detector = cv::ocl::HOGDescriptor::getPeopleDetector48x96(); |
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cv::ocl::HOGDescriptor gpu_hog(win_size, Size(16, 16), Size(8, 8), Size(8, 8), 9, |
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cv::ocl::HOGDescriptor::DEFAULT_WIN_SIGMA, 0.2, gamma_corr, |
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cv::ocl::HOGDescriptor::DEFAULT_NLEVELS); |
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cv::HOGDescriptor cpu_hog(win_size, Size(16, 16), Size(8, 8), Size(8, 8), 9, 1, -1, |
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HOGDescriptor::L2Hys, 0.2, gamma_corr, cv::HOGDescriptor::DEFAULT_NLEVELS); |
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gpu_hog.setSVMDetector(detector); |
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cpu_hog.setSVMDetector(detector); |
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while (running) |
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{ |
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VideoCapture vc; |
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Mat frame; |
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if (args.src_is_video) |
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{ |
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vc.open(args.src.c_str()); |
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if (!vc.isOpened()) |
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throw runtime_error(string("can't open video file: " + args.src)); |
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vc >> frame; |
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} |
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else if (args.src_is_camera) |
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{ |
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vc.open(args.camera_id); |
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if (!vc.isOpened()) |
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{ |
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stringstream msg; |
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msg << "can't open camera: " << args.camera_id; |
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throw runtime_error(msg.str()); |
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} |
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vc >> frame; |
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} |
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else |
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{ |
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frame = imread(args.src); |
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if (frame.empty()) |
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throw runtime_error(string("can't open image file: " + args.src)); |
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} |
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Mat img_aux, img, img_to_show; |
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ocl::oclMat gpu_img; |
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// Iterate over all frames
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while (running && !frame.empty()) |
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{ |
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workBegin(); |
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// Change format of the image
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if (make_gray) cvtColor(frame, img_aux, CV_BGR2GRAY); |
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else if (use_gpu) cvtColor(frame, img_aux, CV_BGR2BGRA); |
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else frame.copyTo(img_aux); |
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// Resize image
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if (args.resize_src) resize(img_aux, img, Size(args.width, args.height)); |
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else img = img_aux; |
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img_to_show = img; |
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gpu_hog.nlevels = nlevels; |
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cpu_hog.nlevels = nlevels; |
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vector<Rect> found; |
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// Perform HOG classification
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hogWorkBegin(); |
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if (use_gpu) |
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{ |
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gpu_img.upload(img); |
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gpu_hog.detectMultiScale(gpu_img, found, hit_threshold, win_stride, |
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Size(0, 0), scale, gr_threshold); |
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} |
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else cpu_hog.detectMultiScale(img, found, hit_threshold, win_stride, |
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Size(0, 0), scale, gr_threshold); |
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hogWorkEnd(); |
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// Draw positive classified windows
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for (size_t i = 0; i < found.size(); i++) |
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{ |
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Rect r = found[i]; |
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rectangle(img_to_show, r.tl(), r.br(), CV_RGB(0, 255, 0), 3); |
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} |
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if (use_gpu) |
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putText(img_to_show, "Mode: GPU", Point(5, 25), FONT_HERSHEY_SIMPLEX, 1., Scalar(255, 100, 0), 2); |
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else |
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putText(img_to_show, "Mode: CPU", Point(5, 25), FONT_HERSHEY_SIMPLEX, 1., Scalar(255, 100, 0), 2); |
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putText(img_to_show, "FPS (HOG only): " + hogWorkFps(), Point(5, 65), FONT_HERSHEY_SIMPLEX, 1., Scalar(255, 100, 0), 2); |
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putText(img_to_show, "FPS (total): " + workFps(), Point(5, 105), FONT_HERSHEY_SIMPLEX, 1., Scalar(255, 100, 0), 2); |
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imshow("opencv_gpu_hog", img_to_show); |
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if (args.src_is_video || args.src_is_camera) vc >> frame; |
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workEnd(); |
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if (args.write_video) |
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{ |
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if (!video_writer.isOpened()) |
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{ |
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video_writer.open(args.dst_video, CV_FOURCC('x','v','i','d'), args.dst_video_fps, |
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img_to_show.size(), true); |
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if (!video_writer.isOpened()) |
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throw std::runtime_error("can't create video writer"); |
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} |
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if (make_gray) cvtColor(img_to_show, img, CV_GRAY2BGR); |
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else cvtColor(img_to_show, img, CV_BGRA2BGR); |
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video_writer << img; |
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} |
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handleKey((char)waitKey(3)); |
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} |
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} |
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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 'm': |
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case 'M': |
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use_gpu = !use_gpu; |
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cout << "Switched to " << (use_gpu ? "CUDA" : "CPU") << " mode\n"; |
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break; |
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case 'g': |
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case 'G': |
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make_gray = !make_gray; |
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cout << "Convert image to gray: " << (make_gray ? "YES" : "NO") << endl; |
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break; |
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case '1': |
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scale *= 1.05; |
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cout << "Scale: " << scale << endl; |
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break; |
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case 'q': |
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case 'Q': |
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scale /= 1.05; |
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cout << "Scale: " << scale << endl; |
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break; |
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case '2': |
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nlevels++; |
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cout << "Levels number: " << nlevels << endl; |
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break; |
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case 'w': |
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case 'W': |
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nlevels = max(nlevels - 1, 1); |
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cout << "Levels number: " << nlevels << endl; |
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break; |
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case '3': |
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gr_threshold++; |
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cout << "Group threshold: " << gr_threshold << endl; |
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break; |
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case 'e': |
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case 'E': |
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gr_threshold = max(0, gr_threshold - 1); |
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cout << "Group threshold: " << gr_threshold << endl; |
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break; |
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case '4': |
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hit_threshold+=0.25; |
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cout << "Hit threshold: " << hit_threshold << endl; |
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break; |
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case 'r': |
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case 'R': |
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hit_threshold = max(0.0, hit_threshold - 0.25); |
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cout << "Hit threshold: " << hit_threshold << endl; |
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break; |
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case 'c': |
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case 'C': |
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gamma_corr = !gamma_corr; |
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cout << "Gamma correction: " << gamma_corr << endl; |
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break; |
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} |
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} |
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inline void App::hogWorkBegin() { hog_work_begin = getTickCount(); } |
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inline void App::hogWorkEnd() |
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{ |
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int64 delta = getTickCount() - hog_work_begin; |
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double freq = getTickFrequency(); |
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hog_work_fps = freq / delta; |
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} |
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inline string App::hogWorkFps() const |
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{ |
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stringstream ss; |
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ss << hog_work_fps; |
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return ss.str(); |
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} |
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inline void App::workBegin() { work_begin = getTickCount(); } |
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inline void App::workEnd() |
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{ |
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int64 delta = getTickCount() - work_begin; |
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double freq = getTickFrequency(); |
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work_fps = freq / delta; |
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} |
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inline string App::workFps() const |
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{ |
||||
stringstream ss; |
||||
ss << work_fps; |
||||
return ss.str(); |
||||
} |
||||
|
Loading…
Reference in new issue