Library with an example to calculate the movement of a video using perceptual relevance metrics
INSTALLATION: To install this library use the command "cmake ." and then "make" and create a new folder named "output" to the directory.
USING: To execute the library use "./prmovement [path/name] [extension of images] [numb of images to proccess]" where <path/name> is the relative path of the images you want to proccess and the name of the images without number and file extension. An example of this command is: ./prmovement ./video/frame .bmp 1000 where the name of the images in the directory ./video is frame1.bmp, frame2.bmp, frame3.bmp...
EXTRA: There is an extra feature that enables multicore processing of PR metrics with OpenMP that speed up the library. To use that, ensure you have installed OpenMP on linux, using: sudo apt-get install libgomp1 By default, OpenMP use all the cores available on the processor. To change the number of cores you want to use use the following command: export OMP_NUM_THREADS=<"number of cores you want to use"> I recommend to use "total cores - 1" in order to improve the performance, or try different configurations until you get the best performance.