Merge pull request #10868 from mshabunin:sample-bgsegm
* Samples: reworked bgfg_bgsegm * fixup! Samples: reworked bgfg_bgsegmpull/10893/head
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1 changed files with 84 additions and 78 deletions
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#include "opencv2/core.hpp" |
#include "opencv2/core.hpp" |
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#include <opencv2/core/utility.hpp> |
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#include "opencv2/imgproc.hpp" |
#include "opencv2/imgproc.hpp" |
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#include "opencv2/video/background_segm.hpp" |
#include "opencv2/video.hpp" |
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#include "opencv2/videoio.hpp" |
#include "opencv2/videoio.hpp" |
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#include "opencv2/highgui.hpp" |
#include "opencv2/highgui.hpp" |
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#include <stdio.h> |
#include <iostream> |
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using namespace std; |
using namespace std; |
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using namespace cv; |
using namespace cv; |
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static void help() |
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{ |
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printf("\nDo background segmentation, especially demonstrating the use of cvUpdateBGStatModel().\n" |
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"Learns the background at the start and then segments.\n" |
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"Learning is togged by the space key. Will read from file or camera\n" |
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"Usage: \n" |
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" ./bgfg_segm [--camera]=<use camera, if this key is present>, [--file_name]=<path to movie file> \n\n"); |
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} |
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const char* keys = |
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{ |
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"{c camera | | use camera or not}" |
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"{m method |mog2 | method (knn or mog2) }" |
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"{s smooth | | smooth the mask }" |
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"{fn file_name|../data/tree.avi | movie file }" |
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}; |
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//this is a sample for foreground detection functions
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int main(int argc, const char** argv) |
int main(int argc, const char** argv) |
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{ |
{ |
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help(); |
const String keys = "{c camera||use video stream from camera (default is NO)}" |
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"{fn file_name|../data/tree.avi|video file}" |
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"{m method|mog2|method: background subtraction algorithm ('knn', 'mog2')}" |
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"{h help||show help message}"; |
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CommandLineParser parser(argc, argv, keys); |
CommandLineParser parser(argc, argv, keys); |
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parser.about("This sample demonstrates background segmentation."); |
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if (parser.has("help")) |
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{ |
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parser.printMessage(); |
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return 0; |
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} |
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bool useCamera = parser.has("camera"); |
bool useCamera = parser.has("camera"); |
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bool smoothMask = parser.has("smooth"); |
String file = parser.get<String>("file_name"); |
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string file = parser.get<string>("file_name"); |
String method = parser.get<String>("method"); |
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string method = parser.get<string>("method"); |
if (!parser.check()) |
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VideoCapture cap; |
{ |
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bool update_bg_model = true; |
parser.printErrors(); |
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return 1; |
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} |
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if( useCamera ) |
VideoCapture cap; |
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if (useCamera) |
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cap.open(0); |
cap.open(0); |
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else |
else |
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cap.open(file.c_str()); |
cap.open(file.c_str()); |
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if (!cap.isOpened()) |
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parser.printMessage(); |
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if( !cap.isOpened() ) |
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{ |
{ |
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printf("can not open camera or video file\n"); |
cout << "Can not open video stream: '" << (useCamera ? "<camera 0>" : file) << "'" << endl; |
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return -1; |
return 2; |
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} |
} |
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namedWindow("image", WINDOW_NORMAL); |
Ptr<BackgroundSubtractor> model; |
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namedWindow("foreground mask", WINDOW_NORMAL); |
if (method == "knn") |
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namedWindow("foreground image", WINDOW_NORMAL); |
model = createBackgroundSubtractorKNN(); |
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namedWindow("mean background image", WINDOW_NORMAL); |
else if (method == "mog2") |
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model = createBackgroundSubtractorMOG2(); |
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Ptr<BackgroundSubtractor> bg_model = method == "knn" ? |
if (!model) |
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createBackgroundSubtractorKNN().dynamicCast<BackgroundSubtractor>() : |
{ |
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createBackgroundSubtractorMOG2().dynamicCast<BackgroundSubtractor>(); |
cout << "Can not create background model using provided method: '" << method << "'" << endl; |
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return 3; |
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} |
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Mat img0, img, fgmask, fgimg; |
cout << "Press <space> to toggle background model update" << endl; |
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cout << "Press 's' to toggle foreground mask smoothing" << endl; |
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cout << "Press ESC or 'q' to exit" << endl; |
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bool doUpdateModel = true; |
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bool doSmoothMask = false; |
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for(;;) |
Mat inputFrame, frame, foregroundMask, foreground, background; |
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for (;;) |
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{ |
{ |
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cap >> img0; |
// prepare input frame
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cap >> inputFrame; |
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if( img0.empty() ) |
if (inputFrame.empty()) |
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{ |
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cout << "Finished reading: empty frame" << endl; |
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break; |
break; |
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} |
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const Size scaledSize(640, 640 * inputFrame.rows / inputFrame.cols); |
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resize(inputFrame, frame, scaledSize, 0, 0, INTER_LINEAR); |
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resize(img0, img, Size(640, 640*img0.rows/img0.cols), 0, 0, INTER_LINEAR_EXACT); |
// pass the frame to background model
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model->apply(frame, foregroundMask, doUpdateModel ? -1 : 0); |
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if( fgimg.empty() ) |
// show processed frame
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fgimg.create(img.size(), img.type()); |
imshow("image", frame); |
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//update the model
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// show foreground image and mask (with optional smoothing)
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bg_model->apply(img, fgmask, update_bg_model ? -1 : 0); |
if (doSmoothMask) |
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if( smoothMask ) |
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{ |
{ |
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GaussianBlur(fgmask, fgmask, Size(11, 11), 3.5, 3.5); |
GaussianBlur(foregroundMask, foregroundMask, Size(11, 11), 3.5, 3.5); |
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threshold(fgmask, fgmask, 10, 255, THRESH_BINARY); |
threshold(foregroundMask, foregroundMask, 10, 255, THRESH_BINARY); |
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} |
} |
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if (foreground.empty()) |
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fgimg = Scalar::all(0); |
foreground.create(scaledSize, frame.type()); |
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img.copyTo(fgimg, fgmask); |
foreground = Scalar::all(0); |
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frame.copyTo(foreground, foregroundMask); |
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Mat bgimg; |
imshow("foreground mask", foregroundMask); |
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bg_model->getBackgroundImage(bgimg); |
imshow("foreground image", foreground); |
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imshow("image", img); |
// show background image
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imshow("foreground mask", fgmask); |
model->getBackgroundImage(background); |
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imshow("foreground image", fgimg); |
if (!background.empty()) |
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if(!bgimg.empty()) |
imshow("mean background image", background ); |
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imshow("mean background image", bgimg ); |
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// interact with user
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char k = (char)waitKey(30); |
const char key = (char)waitKey(30); |
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if( k == 27 ) break; |
if (key == 27 || key == 'q') // ESC
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if( k == ' ' ) |
{ |
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cout << "Exit requested" << endl; |
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break; |
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} |
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else if (key == ' ') |
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{ |
{ |
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update_bg_model = !update_bg_model; |
doUpdateModel = !doUpdateModel; |
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if(update_bg_model) |
cout << "Toggle background update: " << (doUpdateModel ? "ON" : "OFF") << endl; |
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printf("Background update is on\n"); |
} |
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else |
else if (key == 's') |
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printf("Background update is off\n"); |
{ |
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doSmoothMask = !doSmoothMask; |
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cout << "Toggle foreground mask smoothing: " << (doSmoothMask ? "ON" : "OFF") << endl; |
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} |
} |
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} |
} |
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return 0; |
return 0; |
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} |
} |
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