drcurry's profile - activity

So I managed to ultilize the cv::findNonZero() function, to get the coordinates of the white pixels. cv::Mat A; std::

Looking for ways to speed up pixel scanning So I am trying to implement a pixel scanner, where I go through every pixel

Looking for ways to speed up pixel scanning So I am trying to implement a pixel scanner, where I go through every pixel

Hello everyone, I'm using OpenCV's TAPI, I have 2 different computers. Laptop1 has an Radeon 8690m with OpenCL C 1.1. Laptop2 has a GTX 1050 (384.130 power setting set to prefer GPU) with OpenCL C 1.2. Both laptops have been compiled with the exact same setting except for the addition of CUDA 8 on laptop2. Both are also running the exact same code on the same version of OpenCV(3.4.2-dev) on Ubuntu 16.04. The OCL module recognizes both GPUs.

Image I'm loading in is a 2048x1536 color

code snippet:

cv::Mat m = cv::imread("img.jpg");//2048x1536
cv::UMat u;

while(1){
   m.copyTo(u)
   startTime();
   cv::GaussianBlur(u, u, cv::Size(3x3), 3.5)
   endTime();
}

on Laptop 1 I get ~24ms. On Laptop2 I get ~34ms. I let the loop run for a couple of seconds. Now the fun begins. On Laptop2 if I change GaussianBlur to use m instead of u my time is ~20ms, while Laptop 1 gets worse performance as expected (complete opposites). Is there some implementation under the hood that could be affecting the performance or is there some other issue? Thanks

The discrepancy was caused by my timer function. It had nothing to do with OpenCV. The timer function I used was not chr

So I changed how I went about performing the Gaussian blur on Laptop2. Originally I was passing in a 3 channel image 204

So I changed how I went about performing the Gaussian blur on Laptop2. Originally I was passing in a 3 channel image 204

So I changed how I went about performing the Gaussian blur on Laptop2. Originally I was passing in a 3 channel image 204

Sure there is a convert Mat->UMat, but I'm timing the actual computation which shouldn't be affected by memory transf

I checked gpu utilization using nvidia xsever both versions of code used about ~40% and pcie bandwidth ~6% utilization.

I didnt, my outputs for time was the first couple were large then the values became stable. So I took the average of the

Transparent API performance discrepancy Hello everyone, I'm using OpenCV's TAPI, I have 2 different computers. Laptop1 h

OpenCL context does not get created Don't really know how to word it, but long story short, I have built OpenCV from sou

OpenCL context does not get created Don't really know how to word it, but long story short, I have built OpenCV from sou

OpenCL context does not get created Don't really know how to word it, but long story short, I have built OpenCV from sou