I learned quite a lot from the financial models of modern capitalism. I always found these models to be severely lacking in common sense (not that it’s a good reason to ditch them), and to be used in a malicious way, imposing laws and lowering protections for no good reason. A model is only as good as the assumptions that it makes. Any decision made based on the model results without considering them is ridiculous.

And I knew that politicians imposed some of these laws after a shock. We can see that after the terrorist attacks in Europe in the last decade, but I didn’t realise that their security laws were actually entirely part of the neoliberalism doctrine. Enters this book.

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I’m happy to announce the new release of UniversalSyncDelay based on the Audio Toolkit and JUCE. It is available on Windows (VST3) and macOS (min. 10.11, x86_64 and ARM64) in different formats.

UniversalSyncDelay is a Patreon-only plugin, although the source is freely available. It is similar to the UniversalDelay plugin, but with a delay synchronized to the tempo.

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It’s been a while since my last update, and here is ATKUniversalDelay rewritten using JUCE and with support for AUv3 and the M1 architecture.

It’s currently available on Github.



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This entry is part 1 of 4 in the series Night Photography

Well, not too much background noise at least!

I love photos, and I’m beginning to get into astrophotos as well. One issue I face is how to get long exposures from the sky when you have light noise. I want to see arcs in the sky, but the longer you expose, the brighter the background becomes. The same problem occurs if you are using a polar tracker, you get more light, but also more noise!

So I decided to get a small script together to generate images like this one:

58 stacked photos
58 stacked photos, all captured for 20s on a Canon R6 + 28-70 at 28mm/f2

It feels a little bit artificial because the noise is minimal and because there are not that many small stars, but it’s a good start. The script is very easy, it just reads all images from the command line pattern, and then gets the maximum pixel value for all pixels across these images. Saving in “result.jpg”, and this is it!

# -*- coding: utf-8 -*-
import glob
import sys
import numpy as np
from PIL import Image
def readFiles(images):
loaded = [np.asarray(Image.open(img)) for img in images]
return np.array(loaded)
if __name__ == "__main__":
r = np.max(readFiles(glob.glob(sys.argv[1])), axis=0)
view raw astro.py hosted with ❤ by GitHub

The script doesn’t try to align images at all, as we want to see the arcs (at least I want to!), so to use this script, you need to capture many images on a tripod and a remote control.

Anyway, easy, there may be other small scripts like this in the future, who knows.

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