#24594: OpenCV 2.0 - HoughLinesP memory allocation ------------------------------------+--------------------------------------- Reporter: nicola.conci@… | Owner: stante@… Type: defect | Status: new Priority: Normal | Milestone: Component: ports | Version: 1.8.2 Keywords: | Port: OpenCV ------------------------------------+--------------------------------------- Changes (by jmr@…): * owner: macports-tickets@… => stante@… * port: => OpenCV Old description:

hi, I tried running the HoughLinesP function on a video, to check consistency of lines over successive frames. I guess there is something wrong with the allocation/deallocation though, since running it several times you notice the memory increases until the computer slows down.

if I comment the HoughLinesP function, everything runs smoothly.

That's a sample of the code (myFrame and edges are 320x240):

int blockSize=8;

for (int c=1;c<300;c++) {

cap >> myFrame;

cvtColor(myFrame, edges, CV_RGB2GRAY, 0);

Canny(edges, edges, 80, 120, 3, false);

for (int k=0;k<(edges.rows-blockSize);k+=blockSize-1) { for (int l=0;l<(edges.cols- blockSize);l+=blockSize-1) { vector<Vec4i> lines; Mat blockEdge(edges,Rect(l,k,blockSize,blockSize)); Mat blockOrig(myFrame,Rect(l,k,blockSize,blockSize)); //APPLY HOUGH HoughLinesP(blockEdge, lines, 1, CV_PI/90, 5, 4, 10 );

blockEdge.release(); blockOrig.release();

} }

waitKey(10); printf("Frame n: %d", c);

}

Thanks, Nicola

New description: hi, I tried running the HoughLinesP function on a video, to check consistency of lines over successive frames. I guess there is something wrong with the allocation/deallocation though, since running it several times you notice the memory increases until the computer slows down. if I comment the HoughLinesP function, everything runs smoothly. That's a sample of the code (myFrame and edges are 320x240): {{{ int blockSize=8; for (int c=1;c<300;c++) { cap >> myFrame; cvtColor(myFrame, edges, CV_RGB2GRAY, 0); Canny(edges, edges, 80, 120, 3, false); for (int k=0;k<(edges.rows-blockSize);k+=blockSize-1) { for (int l=0;l<(edges.cols- blockSize);l+=blockSize-1) { vector<Vec4i> lines; Mat blockEdge(edges,Rect(l,k,blockSize,blockSize)); Mat blockOrig(myFrame,Rect(l,k,blockSize,blockSize)); //APPLY HOUGH HoughLinesP(blockEdge, lines, 1, CV_PI/90, 5, 4, 10 ); blockEdge.release(); blockOrig.release(); } } waitKey(10); printf("Frame n: %d", c); } }}} Thanks, Nicola -- Comment: Please remember to fill in the Port field and cc the maintainer. -- Ticket URL: <http://trac.macports.org/ticket/24594#comment:1> MacPorts <http://www.macports.org/> Ports system for Mac OS

#24594: OpenCV 2.0 - HoughLinesP memory allocation -------------------------------------+-------------------------------------- Reporter: nicola.conci@… | Owner: stante@… Type: defect | Status: closed Priority: Normal | Milestone: Component: ports | Version: 1.8.2 Resolution: wontfix | Keywords: Port: OpenCV | -------------------------------------+-------------------------------------- Changes (by macsforever2000@…): * status: new => closed * resolution: => wontfix Comment: We are up to version 2.2 now. Please re-open ticket if this is still a problem. -- Ticket URL: <https://trac.macports.org/ticket/24594#comment:4> MacPorts <http://www.macports.org/> Ports system for Mac OS