More frames from entire film (Repost)

Posted: November 27, 2016 at 10:57 am

I wanted to repost the some of the frames from this post, now that I know how to remove the alpha channels such that they appear as they should (and do in video versions):

store-0051118 (more…)

First “Imagery” frames!

Posted: November 19, 2016 at 11:52 am


I’ve written some code that will be the interface between the data produced during “perception”, the future ML components, and the final rendering. One problem is that in perception, the clusters are rendered in the positions of the original segmented regions. This is not possible in dreaming, as the original samples are not accessible. My first approach is to calculate probabilities for the position of clusters for each frame in the ‘perceptual’ data, and then generate random positions using those probabilities to reconstruct the original image.

The results are surprisingly successful, and clearly more ephemeral and interpretive than perceptually generated images. One issue is that there are many clusters that appear in frames only once; this means that there is very little variation in their probability distributions. The image above is such a frame where the bins of the probability distribution (19×8) are visible in the image. I can break this grid by generating more samples than there were in the original data; in the images in this post the number of samples is doubled. Due to this increase of samples, they break up the grid a little bit (see below).  Of course, for clusters that appear only once in perception, this means they are doubled in the output, which can be seen in the images below. The following images show the original frame, the ‘perceptual’ reconstruction and the new imagery reconstruction from probabilities. The top set of images has very little repetition of clusters, and the bottom set  has a lot. (more…)