2021-03-08 21:55:23 -0600 | received badge | ● Popular Question (source) |
2019-02-08 07:04:58 -0600 | received badge | ● Notable Question (source) |
2019-02-08 07:04:58 -0600 | received badge | ● Popular Question (source) |
2013-09-04 08:05:02 -0600 | asked a question | cv::gpu::sepFilter2D maximum kernel size Hi, I just came across the hard coded maximum kernel size of 32 running cv::gpu::sepFilter2D
Is there a reason for that? I tried using two convolutions instead, but that seems to be much slower (I guess because twice dft is more expensive than a seperated filter). What's the appropriate way to work around that? Cheers, Andreas |
2013-07-10 05:56:56 -0600 | commented question | OpenCV 2.4.6 with Qt4 instead of Qt5 Thanks! I'll try that. |
2013-07-09 17:09:18 -0600 | received badge | ● Nice Question (source) |
2013-07-09 11:14:26 -0600 | asked a question | OpenCV 2.4.6 with Qt4 instead of Qt5 Hi, I was wondering if Qt5 is obligatory with OpenCV 2.4.6 ? I ran ccmake -DWITH_QT=4 .. but that doesn't seem to work. Cheers, Andreas |
2013-07-05 17:02:07 -0600 | received badge | ● Nice Question (source) |
2013-01-25 05:22:52 -0600 | commented question | all CUDA-capable devices are busy or unavailable btw, if I try to run the unmodified highgui_gpu_gpu example, I also get an error: OpenCV Error: Assertion failed (buffer_ != 0) in Impl, file /home/andreas/Downloads/OpenCV-2.4.2/modules/core/src/opengl_interop.cpp, line 371 /home/andreas/Downloads/OpenCV-2.4.2/modules/core/src/opengl_interop.cpp:371: error: (-215) buffer_ != 0 in function Impl |
2013-01-24 10:59:30 -0600 | commented question | all CUDA-capable devices are busy or unavailable Yes, I've already read that post, and any other I found on that topic, without any luck. Maybe it has something to do with Ubuntu running compiz. But that's just a guess. |
2013-01-24 09:17:01 -0600 | asked a question | all CUDA-capable devices are busy or unavailable Hi all, I'm getting the error when I'm trying to run the highgui_gpu_gpu example (with all except the gpumat openGlGpuMatWnd window commented out). So it basically looks like: I'm using CUDA 5.0, the cuda examples as well as the opencv+cuda examples work. I built OpenCV with following CMake Flags: |
2012-11-30 06:36:50 -0600 | commented answer | Wrong GpuMat matrix elements filled by cuda kernel Great, thanks! |
2012-11-30 05:34:25 -0600 | asked a question | Wrong GpuMat matrix elements filled by cuda kernel Hi all, my problem is, that I create a GpuMat, then call a cuda kernel with the GpuMats pointer etc, fill the elements of the matrix (called gpumatdiffsqr), but when I'm back on the CPU, the Matrix elements are wrong. My cpp file My cu file: The input is: gpumatconcat: gpumato: The calculation is similar to gpumatdiffsqr = gpumato - gpumatconcat; (gpumato is applied to blocks in gpumatconcat) the output of the printf inside the kernel is: ... so that works fine. However the output of is something like: [400, 1.4751525e-39, 1.4751525e-39, 1.4755323e-39, 361, 1.9176691e-38, 1.9176691e-38, 1.917668e-38, 324, 3.4969683e-39, 1.4751525e-39, 1.4766281e-39, 289, 1.9174466e-38, 6.8062748e-39, 1.4751525e-39; ... I can't figure out my error. Pointer and pointer steps of gpumatdifsqr should be fine. |
2012-11-05 15:19:52 -0600 | asked a question | cv::gpu::norm speed up Hi all, I use the function cv::gpu::norm in a program. This function gets called a lot. With CPU i get about 5 Hz, with GPU it's not usable (a couple of seconds). I suppose the problem is, that the matrices are very small (4x4 - 16x16), so that I can't really make use of the GPU's performance. Just some background information: I use the norm function to calculate the radial basis function: Is there any way to speed this up? Or is it - as i suppose - the wrong task for a GPU? Or is there maybe a way to parallelize the task, so that multiple norm calls are run in parallel? Cheers, Andreas |
2012-10-24 02:34:29 -0600 | received badge | ● Student (source) |
2012-10-23 08:55:29 -0600 | commented answer | GpuMat and std::vector Thanks! Good to know :) |
2012-10-23 08:55:07 -0600 | received badge | ● Supporter (source) |
2012-10-23 08:55:05 -0600 | received badge | ● Scholar (source) |
2012-10-22 16:48:29 -0600 | received badge | ● Editor (source) |
2012-10-22 16:46:54 -0600 | asked a question | GpuMat and std::vector Hi all, what is the appropriate way to store GpuMats in a container.
So far I'm using Cheers, Andreas |