2023-03-15: APP 2.0.0-beta14 has been released !
IMPROVED FRAME LIST, sorting on column header click and you can move the columns now which will be preserved between restarts.
We are very close now to releasing APP 2.0.0 stable with a complete printable manual...
Astro Pixel Processor Windows 64-bit
Astro Pixel Processor macOS Intel 64-bit
Astro Pixel Processor macOS Apple M Silicon 64-bit
Astro Pixel Processor Linux DEB 64-bit
Astro Pixel Processor Linux RPM 64-bit
Slow Mosaic integration 20+hrs
I used Sara's tutorials to try to build a mosaic. It consisted of 4 panels with 30 frames each. It has been processing for about 20 hrs now and is still going. It is doing something because the console changes so I know its not frozen. Is this normal? I am almost positive I copied the settings that Sara used. The cpu was maxed out for the longest time but now its at around 20% and still going.
My CPU is an i7 4770k and I have APP to use 12gb of RAM. The hard drive is some old 1tb drive, I am sure its slow. Can this be the problem.
Nevermind I think i found my answer in another post. Create each panel separately then do the mosaic.
Yes, it's most efficient to first create the panels and then create the mosaic from the panels. The reason being: If you load all single frames (4*30=120) then the mosaic algorithm needs to find the registration parameters( for both the projective transformation and the and optical distortion correction) for all 120 frames all at once. This is a huge calculation and therefore will take very long. The calculation in the end finds 120 *16 parameters = 1920 ! parameters. If you create the 4 panels and then register them as a mosaic, the algorithm only needs to calculate 4x16 = 48 parameters and this should be finished in a couple of minutes on your i7 I think.
On a sidenote, in the next APP version 1.054 (which I try to release before mondag) a strongly improved mosaic algorithm is introduced which might very well give a better registration for the whole mosaic, it will be more robust and quicker. Details here: