Larry's profile - activity

I unfortunately do not understand the gegl syntax, so I do not quite know what that code does, but it appears to be the

I unfortunately do not understand the gegl syntax, so I do not quite know what that code does, but it appears to be the

I unfortunately do not understand the gegl syntax, so I do not quite know that that code does, but it appears to be the

GIMP 2.10 Style Unsharp Mask I need to implement an unsharp mask function for RGB color images which works like the one

Is there a relatively easy way to reduce the size of static libraries built from OpenCV 3.4 source? I ran CMake on my Windows development system to create VS 2010 projects to build OpenCV static libraries, but some of the CUDA related libraries come out to large to be practical, and when I link those libraries into my own apps, they also come out enormous. The opencv_cudafilters340d.lib is about 405MB, and when I build a simple app which does a single CUDA filter operation, the built binary is also nearly half a GB. What can I do to reduce the file sizes without painstakingly editing large amounts of OpenCV source code?

Thank You

Larry

OpenCV Library File Size Is there a relatively easy way to reduce the size of static libraries built from OpenCV 3.4 sou

Gaussian Blur with Large Kernel on GPU I have been told to implement a fast unsharp mask using the GPU which works like

I am using OpenCV 2.4.8 on Windows XP to capture video from a Toshiba IK-HR2D video camera connected via USB2. Things worked for a while, but now, calls to VideoCapture::open() never return, and I have to reboot the system to kill the process. I traced the execution to cap_dshow.cpp, line 2705:

hr = VD->pCaptureGraph->RenderStream(&PIN_CATEGORY_PREVIEW, &MEDIATYPE_Video, VD->pVideoInputFilter, VD->pGrabberF, VD->pDestFilter);

I know nothing about DirectShow, nor do I want to learn about it. That is why I am using OpenCV. Can someone please help me to solve this problem?

Thank You

Larry