概述
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:
#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:
cmake_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}
)
最后
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