This OpenCV tutorial is a very simple code example of GPU Cuda optical flow in OpenCV written in c++. The configuration of the project, code, and explanation are included for farneback Optical Flow method. Farneback algorithm is a dense method that is used to process all the pixels in the given image. The dense methods are slower but more accurate as all the pixels of the image are processed. In the following example, I am displaying just a few pixes based on a grid. I am not displaying all the pixes. In the opposite to dense method the sparse method like Lucas Kanade using just a selected subset of pixels. They are faster. Both methods have specific applications. Lucas-Kanade is widely used in tracking. The farneback can be used for the analysis of more complex movement in image scene and furder segmentation based on these changes. As dense methods are slightly slower, the GPU and Cuda implementation can lead to great performance improvements to calculate optical flow for all pixels o
Debian FFMPEG installation
The following steps describe how to build FFMPEG on the Debian system from source. The Debian Jessie is my current server version. The FFMPEG steps pipeline is: Get and install prerequisites, download FFmpeg, unpack FFmpeg source, configure installation and build the solution. Easy and straightforward as possible.Debian installation steps for FFMPEG
You need to install some prerequisites.Download FFMPEG from the websitesudo apt-get -y install git make nasm pkg-config libx264-dev libxext-dev libxfixes-dev zlib1g-dev
sudo wget -O ffmpeg-2.8.tar.bz2 "https://www.ffmpeg.org/releases/ffmpeg-2.8.tar.bz2"
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