2017-03-23 08:23:16 -0600 | received badge | ● Student (source) |
2017-01-25 17:06:22 -0600 | commented question | How to stop using GPU in OpenCV 3.2? Found the solution: You have to call cv::ocl::setUseOpenCL(false); in every thread that uses UMat. |
2017-01-25 17:01:19 -0600 | asked a question | Sample program "train_HOG" assertion (sv_count != 0) with OpenCV 3.2 Hi, I tried to train SVM with sample downloaded from "INRIA". I used the pos and neg data from "train_64x128_H96" directory. But my program is giving me (sv_count != 0) assertion as soon as it tries to execute svm->train(). I am using OpenCV 3.2. Can anybody help me on this? Thanks. |
2017-01-18 14:58:13 -0600 | commented question | How to stop using GPU in OpenCV 3.2? https://github.com/opencv/opencv/issues/8035 (Created). thnx |
2017-01-18 14:37:56 -0600 | commented question | How to stop using GPU in OpenCV 3.2? Thanks LBerger for confirming, So I am not the only one who sees the issue and therefore, my question stands. |
2017-01-18 13:49:55 -0600 | commented question | How to stop using GPU in OpenCV 3.2? Somehow I knew this question would be asked :). I used TechPowerUp GPU-Z tool to figure that out. |
2017-01-18 10:39:41 -0600 | asked a question | How to stop using GPU in OpenCV 3.2? I set cv::ocl::setUseOpenCL(false); and verified using useOpenCL(). But my code is still using GPU when I use UMat. How can I stop using GPU? Temporarily I am using a workaround that uses Mat instead of UMat. Anybody else is facing the same issue? |