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2020-10-26 06:15:58 -0500 commented question Windows 10 FFMPEG wrapper build instruction/project

I had the same issue, in the end I just linked directly to ffmpeg, have you tried this?

2020-10-14 07:00:30 -0500 commented question opencv world not in build folder

No it should be there inside the bin folder, are you sure everything built successfully?

2020-10-04 07:00:44 -0500 commented question I'm having major issues with setting up h/w accelerated video capture on Windows 10. Would appreciate any and all help and advice.

If ffmpeg doesn't work then neither will cudacodec as this uses ffmpeg behind the scenes. I take it these are not netwo

2020-09-24 11:16:20 -0500 commented question Why imread is reallocating data buffer

There is no GPU version of imread you need to use bool cv::cudacodec::VideoReader::nextFrame(GpuMat & frame,Stream

2020-09-24 08:34:36 -0500 commented question Why imread is reallocating data buffer

When you do src = cv::imread(entry.path()) you are performing an assignment of the result of imread() to src. As a r

2020-09-24 08:33:33 -0500 commented question Why imread is reallocating data buffer

When you do src = cv::imread(entry.path()) you are performing an assignment of the result of imread() to src. As a r

2020-09-24 03:38:33 -0500 commented answer Error importing cv2 after compiling OpenCV from source (Python)

Did you make sure all the dll's (opencv_world440.dll, opencv_img_hash440.dll, nppc64_10.dll, cudnn64_8.dll) were on the

2020-09-24 03:37:52 -0500 commented answer Error importing cv2 after compiling OpenCV from source (Python)

Did you made sure all the dll's (opencv_world440.dll, opencv_img_hash440.dll, nppc64_10.dll, cudnn64_8.dll) were on the

2020-09-23 08:21:48 -0500 commented answer Error importing cv2 after compiling OpenCV from source (Python)

Make sure the required dll's are on the system/user path. Scroll down to the Troubleshooting section part 3 here to see

2020-09-23 08:16:59 -0500 commented answer Error importing cv2 after compiling OpenCV from source (Python)

Make sure the required dll's are on the system/user path. Scroll down to the Troubleshooting section part 3 herelink tex

2020-09-23 04:16:42 -0500 commented answer Error importing cv2 after compiling OpenCV from source (Python)

Thank you for posting the output. So it is clear the reason you have no python bindings is that they were not built or

2020-09-22 12:43:24 -0500 commented answer Error importing cv2 after compiling OpenCV from source (Python)

So python3 is in the list after To be built not after Disabled or Unavailable? Do you have the bindings file (cv2.cp37-w

2020-09-22 12:27:02 -0500 edited answer Error importing cv2 after compiling OpenCV from source (Python)

You should have a bindings folder. To confirm whether the bindings were built, go tobuild/bin/[Release|Debug] and run

2020-09-22 12:03:47 -0500 answered a question Error importing cv2 after compiling OpenCV from source (Python)

You should have a bindings folder. To confirm that the bindings will be built, go tobuild/bin/[Release|Debug] and run

2020-09-16 04:01:44 -0500 commented answer How Can I use CUDA in Python for fastNlMeanDenosingColored?

I think you are passing the arguments in the wrong order see my amended answer.

2020-09-16 04:01:10 -0500 edited answer How Can I use CUDA in Python for fastNlMeanDenosingColored?

The python bindings for fastNlMeansDenosingColored are not currently generated. If you change CV_EXPORTS to CV_EXPORTS_

2020-09-15 06:20:23 -0500 edited answer How Can I use CUDA in Python for fastNlMeanDenosingColored?

The python bindings for fastNlMeansDenosingColored are not currently generated. If you change CV_EXPORTS to CV_EXPORTS_

2020-09-15 05:18:02 -0500 answered a question How Can I use CUDA in Python for fastNlMeanDenosingColored?

The python bindings for fastNlMeansDenosingColored are not currently generated. If you change CV_EXPORTS to CV_EXPORTS_

2020-08-12 13:03:28 -0500 commented answer Why OpenCV building is so slow with CUDA?

There are a few periods where the CPU usage goes down however I don't think this is a major cause for concern. I just c

2020-08-12 12:59:53 -0500 commented answer Why OpenCV building is so slow with CUDA?

There are a few periods where the CPU usage goes down however I don't think this is a major cause for concern. I just c

2020-08-01 18:53:35 -0500 received badge  Nice Answer (source)
2020-08-01 14:01:46 -0500 answered a question Warning: field of class type without a DLL interface used in a class with a DLL interface

Try this

2020-08-01 05:37:42 -0500 edited answer Parallelizing GPU processing of multiple images

First, there is no advantage that I know of to processing multiple frames at the same time over efficiently processing o

2020-08-01 05:33:45 -0500 commented question Parallelizing GPU processing of multiple images

Thanks for the link. I am still unsure what the advantage of opengl would be over cuda in general unless interacting wit

2020-07-31 09:52:01 -0500 commented question Unable to create PAGE_LOCKED or SHARED host memory using the Python binding to HostMem

And yes I would use the python tests as a guide.

2020-07-31 09:48:24 -0500 commented question Unable to create PAGE_LOCKED or SHARED host memory using the Python binding to HostMem

Hi, the python bindings for CUDA are relatively new Aug 2018. If I remember correctly, before the bindings were updated

2020-07-31 03:19:47 -0500 edited answer Parallelizing GPU processing of multiple images

First, there is no advantage that I know of to processing multiple frames at the same time over efficiently processing o

2020-07-31 03:05:41 -0500 commented question Parallelizing GPU processing of multiple images

Can you link to an example please? Where would OpenGL be used, would you still be using CUDA to access the GPU?

2020-07-31 03:01:45 -0500 answered a question Parallelizing GPU processing of multiple images

I would say you have two options and both should solve the problem above: Use multiple streams in a single thread to o

2020-07-31 02:49:45 -0500 commented question Unable to create PAGE_LOCKED or SHARED host memory using the Python binding to HostMem

From memory that functionality had not been implemented in python (it may have been now, but from your experience it app

2020-07-29 04:07:00 -0500 commented question The result obtained by cuda::dft is different from cv::dft

Hi, I still can't get your code to run. Can you post the exact code which you are using so I can see there is an issue

2020-07-28 12:14:56 -0500 commented question CUDA version of fastNlMeansDenoising not matching CPU version?

I would expect some variance as it is very unlikely that the algorithm will have been implemented in exactly the same wa

2020-07-28 03:49:15 -0500 commented answer CUDA version of fastNlMeansDenoising not matching CPU version?

What was the magnitude of the difference, which OpenCV and CUDA version were you using did you compile with --use_fast_m

2020-07-28 03:13:20 -0500 commented question CUDA version of fastNlMeansDenoising not matching CPU version?

Are you compiling with --use_fast_math enabled? How different are the results, which version of OpenCv and CUDA are you

2020-07-28 03:09:05 -0500 commented question The result obtained by cuda::dft is different from cv::dft

Which version of OpenCV and CUDA are you using? Additionally I cannot get your code to compile, can you post the exact

2020-07-27 13:31:50 -0500 commented answer Unhandled exception for GpuMat in Visual Studio C++

From here Including Python bindings Building and installing python support is incredibly simple, the instructions belo

2020-07-27 10:05:41 -0500 commented question accelerate OpenCV functions on gpu through CUDA

I was hoping that wasn't going to be your question. My answer unfortunately is that: You would need a basic understan

2020-07-26 08:19:23 -0500 commented answer Unhandled exception for GpuMat in Visual Studio C++

Did you try to use the pre-built binaries i linked to?

2020-07-24 11:36:47 -0500 commented answer Unhandled exception for GpuMat in Visual Studio C++

Yes, I would remove the build directory first as well. Or you could try the pre-built binaries on the same site as the

2020-07-24 05:03:44 -0500 commented question accelerate OpenCV functions on gpu through CUDA

OK so what is your question, how to implement cv::undistort in CUDA?

2020-07-24 02:51:46 -0500 answered a question Unhandled exception for GpuMat in Visual Studio C++

All of the cudamodules apart from cudev are disabled in your build. Disabled: cudaarithm cudabgsegm

2020-07-23 13:32:43 -0500 commented question Unhandled exception for GpuMat in Visual Studio C++

Can you run opencv_version_win32.exe and post the output here.

2020-07-23 13:03:40 -0500 commented question Unhandled exception for GpuMat in Visual Studio C++

That guide builds OpenCv 4.xx and you have built version 3.xx. Either way, what was the output when you ran "%openCvBui

2020-07-23 12:51:15 -0500 commented question Unhandled exception for GpuMat in Visual Studio C++

That guide builds OpenCv 4.xx and you have built version 3.xx. Either way is there any additional error message shown i

2020-07-23 08:03:36 -0500 commented answer accelerate OpenCV functions on gpu through CUDA

You have to compile from src regardless if you want to use the cv::cuda API. Not all functions have an OpenCl implement

2020-07-23 07:57:56 -0500 edited answer Accelerate undistort() with parallelism on GPU

Are you trying to find this? How long does it take on the CPU and how does this compare to the time taken by your other

2020-07-23 07:55:08 -0500 edited answer Accelerate undistort() with parallelism on GPU

Are you trying to find this? How long does it take on the CPU and how does this compare to the time taken by your other

2020-07-23 07:54:16 -0500 answered a question Accelerate undistort() with parallelism on GPU

Are you trying to find this?

2020-07-23 07:51:12 -0500 commented question accelerate OpenCV functions on gpu through CUDA

Why not use the Python API directly instead of translating to C++? By accelerate OpenCv functions using CUDA do you mea

2020-07-23 02:39:27 -0500 commented question Unhandled exception for GpuMat in Visual Studio C++

Did you build OpenCV from source? If you are using version 3.xx then you don't need to build with the extra modules. I