hi and thanks for the feedback
Filtering outliers would indeed be very usefull. We'd need to check its impact on performance.
Regarding auto-restart : as ALS is not connected to the mount (and won't be in a near future) we would need to rely on repeated alignment failures to assume user slewed to a new target. Would be worth a test.
Please fee free to create feature requests as issues on ALS's repo at github.com/gehelem/als .Who knows, we might find some time or horsepower to put them into ALS
cheers
--
Fred
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Some news : ALS v0.7-alpha2 is out !
Just needs a few little cleanups before an official v0.7 release.
What's new since we last spoke :
DerPit wrote: Sorry for not stating explicitly. As in the signature, this is an openSUSE Tumbleweed (rolling release, so quite recent packages of everything).
I can also open a ticket in you issue tracker, if you prefer that.
DerPit wrote: ...
...
Then I tried to get the git version and do the venv install. But this one fails with installing the requirements, as there is no opencv-python==4.1.0.25 available.
Using (available) 4.1.2.30 instead collides with the requested numpy version. At that point, I gave up....
Yes it can !
8 bits, 16 bits, 32bits, unsigned, signed, integers, floats.... anything fits
As well as common DSLR RAW files
clear skies
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Hi again folks
Nightly ALS builds are now available for the 4 main target platforms : GNU/Linux, OSX, Windows and Raspberry Pi 4
Simply browse to
als-app.org/nightlies/
and pick a release.
Just test away and shoot us with your results. We'll do our best to make ALS as great as you guys want it to be
Peace
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Hi again everyone and apologies, once again, for the long silence.
Recent times have been quite hectic for us and I guess it is for most of you guys.
Blueshawk wrote: I gave this a try the other night by simulating file drops with old data and found it does a wonderful job! I think it may be working better than my regular one even.(Siril)
I was wondering if you guys have considered making an option to use it as a regular stacker(load a file selection to be processes), or maybe a forked version to be developed into a processing app.
Bravo! :dancers: