MARE's Computer Vision Study.: (OpenCV Study) OpticalFlow Gpu feature extraction and matching (GoodFeaturesToTrackDetector_GPU, gpu:: PyrLKOpticalFlow example source code)
![Build OpenCV from source with CUDA for GPU access on Windows | by Ankit Kumar Singh | Analytics Vidhya | Medium Build OpenCV from source with CUDA for GPU access on Windows | by Ankit Kumar Singh | Analytics Vidhya | Medium](https://miro.medium.com/max/1400/1*ZWYZhSsfa_UxFIGPtD8ZMQ.jpeg)
Build OpenCV from source with CUDA for GPU access on Windows | by Ankit Kumar Singh | Analytics Vidhya | Medium
![openCV GPU usage disappoints…. Use the GPU with your openCV code, get… | by Peter Gaston | Towards Data Science openCV GPU usage disappoints…. Use the GPU with your openCV code, get… | by Peter Gaston | Towards Data Science](https://miro.medium.com/max/1400/1*mXxbcnT1VIexRz7xgWSeZw.png)
openCV GPU usage disappoints…. Use the GPU with your openCV code, get… | by Peter Gaston | Towards Data Science
MARE's Computer Vision Study.: OpenCV meanShiftFiltering example source code ( cpu: pyrMeanShiftFiltering, gpu:meanShiftFiltering, gpu:meanShiftSegmentation )
![Building opencv with Nvidia CUDA 8.0 extensions on Ubuntu 16.04 | Everything Artificial Intelligence Building opencv with Nvidia CUDA 8.0 extensions on Ubuntu 16.04 | Everything Artificial Intelligence](https://aichamp.files.wordpress.com/2016/11/cuda.jpg?w=640)