#Super slow motion app code

This is the main code for the AI-accelerated functionality, but it also requires a trained neural network in order to function. NGX software: The RTX feature is integrated into any game, application or plugin through the use of the NGX SDK.Image above: Up-Res provides improved image clarity over Bicubic filtering. This results in a sharper enlargement that correctly preserves the depth of field and other artistic aspects. Unlike traditional filtering methods which stretch out the existing pixels and filter between them, AI Up-Res creates new pixels by interpreting the image and intelligently placing data. Image above: the areas in white are intelligently filled in.ĪI Up-Res increases the resolution of an image or video by 2x, 4x or 8x. This method can help to minimize the inclusion of extraneous image information and result in more visually meaningful replacement results. The training and the deep learning based algorithms allow InPainting to generate new content which may not exist in the original image. InPainting is based on a deep learning model that has been trained on a large scale image dataset. InPainting uses a fundamentally different method for replacing content within an image. Because the replaced data is a copy of data already existing within the image, the matching process can introduce semantically meaningless data which exists within this copied data into the replacement if the algorithm feels that the content offers the best match. Traditional content aware fill algorithms search the image to find other areas of the image which best match the area to be replaced based on color data similarity. While content aware replacement methods currently exist, these solutions utilize more basic methods of replacing image data.

Super slow motion app