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Open Source Computer Vision Library
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232 lines
7.0 KiB
232 lines
7.0 KiB
#include <iostream> |
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#include <vector> |
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#include <iomanip> |
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#include "opencv2/core/utility.hpp" |
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#include "opencv2/imgcodecs.hpp" |
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#include "opencv2/videoio.hpp" |
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#include "opencv2/highgui.hpp" |
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#include "opencv2/core/ocl.hpp" |
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#include "opencv2/video/video.hpp" |
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using namespace std; |
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using namespace cv; |
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typedef unsigned char uchar; |
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#define LOOP_NUM 10 |
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int64 work_begin = 0; |
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int64 work_end = 0; |
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static void workBegin() |
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{ |
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work_begin = getTickCount(); |
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} |
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static void workEnd() |
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{ |
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work_end += (getTickCount() - work_begin); |
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} |
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static double getTime() |
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{ |
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return work_end * 1000. / getTickFrequency(); |
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} |
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static void drawArrows(UMat& _frame, const vector<Point2f>& prevPts, const vector<Point2f>& nextPts, const vector<uchar>& status, |
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Scalar line_color = Scalar(0, 0, 255)) |
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{ |
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Mat frame = _frame.getMat(ACCESS_WRITE); |
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for (size_t i = 0; i < prevPts.size(); ++i) |
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{ |
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if (status[i]) |
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{ |
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int line_thickness = 1; |
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Point p = prevPts[i]; |
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Point q = nextPts[i]; |
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double angle = atan2((double) p.y - q.y, (double) p.x - q.x); |
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double hypotenuse = sqrt( (double)(p.y - q.y)*(p.y - q.y) + (double)(p.x - q.x)*(p.x - q.x) ); |
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if (hypotenuse < 1.0) |
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continue; |
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// Here we lengthen the arrow by a factor of three. |
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q.x = (int) (p.x - 3 * hypotenuse * cos(angle)); |
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q.y = (int) (p.y - 3 * hypotenuse * sin(angle)); |
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// Now we draw the main line of the arrow. |
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line(frame, p, q, line_color, line_thickness); |
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// Now draw the tips of the arrow. I do some scaling so that the |
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// tips look proportional to the main line of the arrow. |
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p.x = (int) (q.x + 9 * cos(angle + CV_PI / 4)); |
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p.y = (int) (q.y + 9 * sin(angle + CV_PI / 4)); |
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line(frame, p, q, line_color, line_thickness); |
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p.x = (int) (q.x + 9 * cos(angle - CV_PI / 4)); |
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p.y = (int) (q.y + 9 * sin(angle - CV_PI / 4)); |
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line(frame, p, q, line_color, line_thickness); |
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} |
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} |
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} |
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int main(int argc, const char* argv[]) |
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{ |
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const char* keys = |
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"{ h help | | 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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"{ c camera | 0 | enable camera capturing }" |
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"{ v video | | use video as input }" |
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"{ o output | pyrlk_output.jpg| specify output save path when input is images }" |
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"{ points | 1000 | specify points count [GoodFeatureToTrack] }" |
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"{ min_dist | 0 | specify minimal distance between points [GoodFeatureToTrack] }" |
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"{ m cpu_mode | false | run without OpenCL }"; |
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CommandLineParser cmd(argc, argv, keys); |
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if (cmd.has("help")) |
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{ |
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cout << "Usage: pyrlk_optical_flow [options]" << endl; |
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cout << "Available options:" << endl; |
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cmd.printMessage(); |
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return EXIT_SUCCESS; |
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} |
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bool defaultPicturesFail = true; |
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string fname0 = cmd.get<string>("left"); |
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string fname1 = cmd.get<string>("right"); |
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string vdofile = cmd.get<string>("video"); |
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string outfile = cmd.get<string>("output"); |
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int points = cmd.get<int>("points"); |
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double minDist = cmd.get<double>("min_dist"); |
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int inputName = cmd.get<int>("c"); |
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UMat frame0; |
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imread(fname0, cv::IMREAD_GRAYSCALE).copyTo(frame0); |
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UMat frame1; |
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imread(fname1, cv::IMREAD_GRAYSCALE).copyTo(frame1); |
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vector<cv::Point2f> pts(points); |
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vector<cv::Point2f> nextPts(points); |
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vector<unsigned char> status(points); |
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vector<float> err; |
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cout << "Points count : " << points << endl << endl; |
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if (frame0.empty() || frame1.empty()) |
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{ |
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VideoCapture capture; |
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UMat frame, frameCopy; |
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UMat frame0Gray, frame1Gray; |
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UMat ptr0, ptr1; |
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if(vdofile.empty()) |
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capture.open( inputName ); |
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else |
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capture.open(vdofile.c_str()); |
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int c = inputName ; |
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if(!capture.isOpened()) |
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{ |
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if(vdofile.empty()) |
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cout << "Capture from CAM " << c << " didn't work" << endl; |
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else |
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cout << "Capture from file " << vdofile << " failed" <<endl; |
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if (defaultPicturesFail) |
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return EXIT_FAILURE; |
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goto nocamera; |
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} |
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cout << "In capture ..." << endl; |
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for(int i = 0;; i++) |
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{ |
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if( !capture.read(frame) ) |
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break; |
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if (i == 0) |
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{ |
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frame.copyTo( frame0 ); |
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cvtColor(frame0, frame0Gray, COLOR_BGR2GRAY); |
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} |
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else |
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{ |
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if (i%2 == 1) |
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{ |
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frame.copyTo(frame1); |
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cvtColor(frame1, frame1Gray, COLOR_BGR2GRAY); |
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ptr0 = frame0Gray; |
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ptr1 = frame1Gray; |
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} |
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else |
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{ |
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frame.copyTo(frame0); |
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cvtColor(frame0, frame0Gray, COLOR_BGR2GRAY); |
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ptr0 = frame1Gray; |
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ptr1 = frame0Gray; |
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} |
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pts.clear(); |
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goodFeaturesToTrack(ptr0, pts, points, 0.01, 0.0); |
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if(pts.size() == 0) |
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continue; |
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calcOpticalFlowPyrLK(ptr0, ptr1, pts, nextPts, status, err); |
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if (i%2 == 1) |
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frame1.copyTo(frameCopy); |
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else |
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frame0.copyTo(frameCopy); |
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drawArrows(frameCopy, pts, nextPts, status, Scalar(255, 0, 0)); |
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imshow("PyrLK [Sparse]", frameCopy); |
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} |
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char key = (char)waitKey(10); |
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if (key == 27) |
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break; |
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else if (key == 'm' || key == 'M') |
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{ |
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ocl::setUseOpenCL(!cv::ocl::useOpenCL()); |
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cout << "Switched to " << (ocl::useOpenCL() ? "OpenCL" : "CPU") << " mode\n"; |
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} |
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} |
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capture.release(); |
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} |
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else |
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{ |
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nocamera: |
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if (cmd.has("cpu_mode")) |
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{ |
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ocl::setUseOpenCL(false); |
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std::cout << "OpenCL was disabled" << std::endl; |
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} |
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for(int i = 0; i <= LOOP_NUM; i ++) |
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{ |
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cout << "loop" << i << endl; |
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if (i > 0) workBegin(); |
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goodFeaturesToTrack(frame0, pts, points, 0.01, minDist); |
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calcOpticalFlowPyrLK(frame0, frame1, pts, nextPts, status, err); |
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if (i > 0 && i <= LOOP_NUM) |
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workEnd(); |
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if (i == LOOP_NUM) |
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{ |
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cout << "average time (noCamera) : "; |
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cout << getTime() / LOOP_NUM << " ms" << endl; |
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drawArrows(frame0, pts, nextPts, status, Scalar(255, 0, 0)); |
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imshow("PyrLK [Sparse]", frame0); |
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imwrite(outfile, frame0); |
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} |
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} |
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} |
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waitKey(); |
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return EXIT_SUCCESS; |
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}
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