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| 2016-06-19 12:54:14 -0600 | commented question | Different results of CascadeClasifier on CPU and GPU Hello @Eduardo, thanks for answer! I changed this parameters to same values and now I see more detections on GPU, but still much less than on CPU. New video demonstration here: https://github.com/Itseez/opencv/file... Sorry, but I need to detect not only humans and preferably on GPU because of performance reasons, therefore I want to use Haar method. |
| 2016-06-19 12:21:41 -0600 | received badge | ● Enthusiast |
| 2016-06-17 11:22:14 -0600 | commented question | Different results of CascadeClasifier on CPU and GPU Video demo: https://github.com/Itseez/opencv/file... Github issue: https://github.com/Itseez/opencv/issu... |
| 2016-06-16 02:13:02 -0600 | received badge | ● Editor (source) |
| 2016-06-14 12:39:52 -0600 | asked a question | Different results of CascadeClasifier on CPU and GPU I built the latest OpenCV version with cuda support from master branch. After that I tried to use CPU cv::CascadeClassifier and GPU cv::cuda::CascadeClassifier, but faced with a strange result. I use same xml from opencv/data/haarcascades_cuda/haarcascade_fullbody.xml for both CPU and GPU version of CascadeClassifier. CPU Classifier with this xml shows much more objects than GPU classifier. What I need to do to get equal result? Another strange thing, that when I set ScaleFactor to 2, speed of CPU version boosted up to 4 times, but GPU version becomes just slightly faster. My system - Ubuntu 14.04 x64, Video card is GTX-950, Video driver v.352.93 Demonstration project: https://bitbucket.org/barbatum/cascadeqa |