玩转OpenCV 4.0(一):调用Dis光流算法示例
- 调用DIS光流的源码如下:
- 对应CMakelists如下:
调用DIS光流的源码如下:
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99#include "opencv2/core/utility.hpp" #include "opencv2/highgui.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/video.hpp" #include <iostream> using namespace std; using namespace cv; static void help() { printf("Usage: dis_optflow <video_file>n"); } int main(int argc, char **argv) { VideoCapture cap; if (argc < 2) { help(); exit(1); } cap.open(argv[1]); if(!cap.isOpened()) { printf("ERROR: Cannot open file %sn", argv[1]); return -1; } Mat prevgray, gray, rgb, frame; Mat flow, flow_uv[2]; Mat flow_Farneback; Mat flow_uv_Farneback[2]; Mat mag, ang; Mat mag_Farneback, ang_Farneback; Mat hsv_split[3], hsv; Mat hsv_split_Farneback[3], hsv_Farneback; Mat rgb_Farneback; Ptr<DenseOpticalFlow> algorithm = DISOpticalFlow::create(DISOpticalFlow::PRESET_MEDIUM); int idx = 0; while(true) { cap >> frame; if (frame.empty()) break; cv::resize(frame,frame,cv::Size(0.8*frame.cols,0.8*frame.rows),0,0,cv::INTER_LINEAR); idx++; cvtColor(frame, gray, COLOR_BGR2GRAY); cv::imshow("orig", frame); if (!prevgray.empty()) { /*DISOpticalFlow*/ /*main function of DISOpticalFlow*/ algorithm->calc(prevgray, gray, flow); split(flow, flow_uv); multiply(flow_uv[1], -1, flow_uv[1]); cartToPolar(flow_uv[0], flow_uv[1], mag, ang, true); normalize(mag, mag, 0, 1, NORM_MINMAX); hsv_split[0] = ang; hsv_split[1] = mag; hsv_split[2] = Mat::ones(ang.size(), ang.type()); merge(hsv_split, 3, hsv); cvtColor(hsv, rgb, COLOR_HSV2BGR); cv::Mat rgbU; rgb.convertTo(rgbU, CV_8UC3, 255, 0); cv::imshow("DISOpticalFlow", rgbU); Mat rgbU_b = rgbU.clone(); Mat split_dis[3]; split(rgbU_b, split_dis); split_dis[2] = prevgray; Mat merge_dis; merge(split_dis, 3, merge_dis); cv::imshow("DISOpticalFlow_mask", merge_dis); /*Farneback*/ cv::calcOpticalFlowFarneback(prevgray, gray, flow_Farneback, 0.5, 3,15, 3, 5, 1.2, 0); split(flow_Farneback, flow_uv_Farneback); multiply(flow_uv_Farneback[1], -1, flow_uv_Farneback[1]); cartToPolar(flow_uv_Farneback[0], flow_uv_Farneback[1], mag_Farneback, ang_Farneback, true); normalize(mag_Farneback, mag_Farneback, 0, 1, NORM_MINMAX); hsv_split_Farneback[0] = ang_Farneback; hsv_split_Farneback[1] = mag_Farneback; hsv_split_Farneback[2] = Mat::ones(ang_Farneback.size(), ang_Farneback.type()); merge(hsv_split_Farneback, 3, hsv_Farneback); cvtColor(hsv_Farneback, rgb_Farneback, COLOR_HSV2BGR); cv::Mat rgbU_Farneback; rgb_Farneback.convertTo(rgbU_Farneback, CV_8UC3, 255, 0); cv::imshow("FlowFarneback", rgbU_Farneback); Mat rgbU_Farneback_b = rgbU_Farneback.clone(); Mat split_Fb[3]; split(rgbU_Farneback_b, split_Fb); split_Fb[2] = prevgray; Mat merge_Fb; merge(split_Fb, 3, merge_Fb); cv::imshow("FlowFarneback_mask", merge_Fb); cv::waitKey(1); } std::swap(prevgray, gray); } return 0; }
对应CMakelists如下:
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11cmake_minimum_required(VERSION 3.12) set(OpenCV_DIR "/home/fang/software/opencv4_install/lib/cmake/opencv4") project(indemind_opencv_demo) set(CMAKE_CXX_STANDARD 14) find_package(OpenCV 4 REQUIRED) include_directories( ${OpenCV_INCLUDE_DIRS}) add_executable(indemind_opencv_demo main.cpp) target_link_libraries(indemind_opencv_demo ${OpenCV_LIBS} )
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