gerardWalsh's profile - activity

When trying to compile YOLO Object Detection example with g++ object_detection.cpp -o yolo pkg-config --cflags --libs opencv I run into the error "fatal error: common.hpp: No such file or directory". I see this file was added to pre-process paramaters. I know sure how to resolve this issue?

Of course one should - Thanks

OpenCV is used for a wide-range of Image Processing tasks - from smoothing images to stitching them together to form a p

OpenCV is used for a wide-range of Image Processing tasks - from smoothing images to stiching them together to form a pa

OpenCV is used for a wide-range of Image Processing tasks - from smoothing images to stiching images together to make pa

Yolo DNN example When trying to compile YOLO Object Detection example with " g++ object_detection.cpp -o yolo pkg-config

Yolo DNN example When trying to compile YOLO Object Detection example with g++ object_detection.cpp -o yolo pkg-config -

Yolo DNN example When trying to compile YOLO Object Detection example with g++ object_detection.cpp -o yolo pkg-config -

Yolo DNN example When trying to compile YOLO Object Detection example with g++ object_detection.cpp -o yolo pkg-config -

Would there be a way to keep the kernel's code in the GPU memory and only pass the new information on each iteration of

I have updated the code, the error produced is "error: ‘virtual void cv::FlannBasedMatcher::knnMatchImpl(cv::InputArray,

Using FLANN to match ORB descriptors I'm am investigating methods on how to speed up an object tracking algorithm that u

That solves the problem thank you! But when I try to use the function matcher.knnMatchImpl(descriptors, matches, 2, cv::

The call to the detectAndComputeAsync, we need to pass the true flag for useProvidedKeypoints. Once the true flag was pa

I am using Ubuntu 16.04, and the resolution of clock is in ms.

Using FLANN to match ORB descriptors I'm am investigating methods on how to speed up an object tracking algorithm that u

I implemented the same work around, however FLANN matching takes longer than a brute-force comparison, which is not righ

I am using Ubuntu 16.04, and the resolution of clock is in ms. I found the solution to the problem in that the call to t

Surely this is the point? We are trying to measure how long the function call takes (initiate the kernel on the device a

Asynchronous performance lacking When using CUDA to try implement a pipe-lined execution model, timing an asynchronous f

Asynchronous performance lacking When using CUDA to try implement a pipe-lined execution model. timing an asynchronous f

Could you elaborate on allocating memory to the GpuMat ? I have experienced the same issue when timing an asynchronous c

I have implemented the same code and it does not seem to be running on my NVIDIA GTX1060 My system output are identica

I added tbb.dll to the system variables and user variables, reconfigured with, recompiled and reinstalled - only to have

How to link tbb dynamic libraries (tbb.dll) I have compiled and installed OpenCV 3.4.0 in 64-bit Windows, following this