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2016-11-21 15:38:49 -0600 | commented question | Building "Tracking" module in OpenCV extra modules with Cmake does not generate relevant headers of that module |
2016-11-21 14:54:21 -0600 | commented question | Building "Tracking" module in OpenCV extra modules with Cmake does not generate relevant headers of that module It does not work if I include datasets module. |
2016-11-16 15:59:20 -0600 | commented question | Building "Tracking" module in OpenCV extra modules with Cmake does not generate relevant headers of that module Actually CMake does not build it. |
2016-11-16 13:08:42 -0600 | commented question | Building "Tracking" module in OpenCV extra modules with Cmake does not generate relevant headers of that module Error 1 error LNK2001: unresolved external symbol "public: static struct cv::Ptr<class cv::tracker=""> __cdecl cv::Tracker::create(class cv::String const &)" (?create@Tracker@cv@@SA?AU?$Ptr@VTracker@cv@@@2@AEBVString@2@@Z) E:\OneDrive\Projects\Projects 3.1\tracking\tracking\Source1.obj tracking |
2016-11-16 00:27:51 -0600 | asked a question | Building "Tracking" module in OpenCV extra modules with Cmake does not generate relevant headers of that module I am not able to get a working custom build for implementation of some OpenCV sample motion tracking examples which requires the module "tracking" part of opencv_contrib. I tried to custom build on on VC12.0 x64 on windows. But it does not generate headers like tracking.hpp and tracker.hpp specific to tracking inside its own folder (C:\OpenCV\build\install\include\opencv2\tracking) like in the case of all other extra modules. I followed the building procedure as here My ultimate aim is to run the sample: tutorial_introduction_to_tracker.cpp found here. Any assistance would be appreciated. |
2016-10-18 18:24:46 -0600 | commented question | OpenCV C++ Multithreading You can make a local copy of your image matrix and pass it to the ProcessFrames() function. That way the image matrix, which is global in this case will not be changed while ProcessFrames() is processing it. But then, fundamentally, multithreading sequential processes is a bad approach. |
2016-09-20 02:07:54 -0600 | received badge | ● Enthusiast |
2016-09-12 18:30:15 -0600 | answered a question | Big different between StereoSGBM and gpu::StereoBM_GPU A good comparison would be the disparity maps for StereoBM vs CUDA StereoBM. These are the results that I got for the same parameters on these two implementations. {bm_minDisparity: 0, numDisparities: 32, bm_SADWindowSize: 19, bm_disp12MaxDiff: 48, bm_preFilterCap: 25, bm_textureThreshold: 5, bm_preFilterSize: 5, bm_uniquenessRatio: 5, bm_speckleWindowSize: 25, bm_speckleRange: 10} It turns out that the disparity maps that they return are of different types CV_16S vs CV_8U respectively. So I'm guessing there is some bit arithmetic wreaking havoc here.
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