Neural network trained to turn any video into slow motion

The programmer under the nickname MortenHannemose posted on Github the algorithm, thanks to which you can get a quality slow-SloMo-video movies with any framerate. A neural network is used to draw the missing images. Anyone can try the program.

For the plugin to work, you need to install the Python environment and connect the bundled trained library. The essence of the method is to generate the missing frames in order to slow down the video. The neural network takes two adjacent frames and draws an intermediate one.

The result is a smooth video. The capabilities of the algorithm are superior to the program After Effect, Sepconv, and analogs. The processing speed will depend on the processor power and resolution of the original frame.

By default, the resolution is limited to 320 pixels, but this can be circumvented by changing just one line of code. Now the Creator of the script continues its active testing and is ready to listen to any suggestions and suggestions from users.