You can at least try creating a proper sequence and then copying the contents of your previous timeline into it.

I don't know how long your comp is and how much of a pain it will be to restart this work, but it will save you strife in the long run. You should have a Square (1.0) pixel aspect ratio. You should be set to Progressive (or no fields) Your sequence should be 1920x1080 (unless it's a 4K TV) To do this correctly you should start over: Then they chose settings that don't make any sense if you're going to the web or being displayed on an LCD screen in a store, so it also depends on your pipeline. The second is making an assumption that everyone has the same issue. The first part is that they basically acknowledged at the beginning that they don't know what they're talking about. If you do anything with it I’d love to see it!Įdit: The script was used to make this music video.There are so many things wrong with that video that it's not worth addressing all of them. It shouldn’t be too hard to use, details are in REAMDE.md.

On the bottom left is the image with sorted intervals.Īll the images in this article were generated using a pixel sorting script I wrote in python – source here.

On the bottom left is the image with the intervals filled in with random colors – each color represents a different interval.

Notice that the foam – too light – and the shadows – too dark – are outside the threshold.

The top right is the image with pixels outside the lightness threshold replaced with black, and the rest filled in with white.

The intervals are defined by regions of the image that are too light or too dark – the edges of these regions define the edges of the intervals. Kim Asendorf’s code simply applies this technique twice: first vertically, then horizontally.

The pixels in each interval are rearranged so as to sort them with respect to some property, say, lightness.

The rows/columns of the image are split into ‘intervals’ (more on this later).

They propose using it as a technique for unsupervised classification, to be applied to images from remote sensing satellites. Neat! The earliest reference to pixel sorting I could find on the internet is this paper ( PDF) by scientists from Iraq’s Scientific Research Council.

The processing script was cryptic and not very hackable, and I felt like something more lightweight was needed, so I wrote my own version in python – more info on GitHub. It was popularized (possibly invented) by artist Kim Asendorf (processing source code here). Pixel sorting is an interesting, glitchy effect which selectively orders the pixels in the rows/columns of an image. Pixel Sorting Introducing order in a disordered way can make for some great glitch art.

Pixel sorter premiere pro