Hey it's Trevor from RASC! Excellent video, my Seestar images went from pretty neat to: whoah! Very helpful and informative, easy to follow along and well spoken 👏👏👏
@AbdurAstro
6 күн бұрын
Thank you Trevor! Glad it was helpful :)
@joelireland5477
2 күн бұрын
My S50 is on the way , can't wait to produce some of these myself
@billpardue3410
Ай бұрын
Excellent tutorial! You may want to note that (at least on an older computer), running the script can take a while. It took 43 minutes for me (on a 6 yr old gaming laptop), and at times I wondered if the program had stopped because the console wasn't showing any messages. However, I just let it keep running and it eventually got through it. I was doing 147 subs of M14.
@AbdurAstro
Ай бұрын
Hi Bill. Thank you for that information. It didn't take too long on my computer but I am using an SSD and a fairly powerful processor. But that is very useful information and I will be sure to add that to my future videos so anyone processing their images know how long it might take. If I am processing a very large stack of images (hundreds of large images totaling dozens of hours), I often just let me computer run the script while I go away and do other things and in some cases I just let me computer run overnight so everything is ready in the morning. Have a great day :)
@txdave2
2 ай бұрын
This is an outstanding tutorial. You are a very good teacher. The step-by-step process is explained at a perfect pace...not too fast or slow. I just started my astrophotography journey a few months ago. The information in this video is truly helpful.Thank you!
@AbdurAstro
2 ай бұрын
Thank you for the kind comments. I always appreciate getting feedback. I hope you enjoy your journey in astrophotography as much as I have :)
@txdave2
2 ай бұрын
@@AbdurAstro I just ordered a Seestar through you affiliate link. Should be fun. Thanks!
@AbdurAstro
2 ай бұрын
@@txdave2 Thank you for using the affiliate links and supporting my channel. Truly appreciated. I have a few more SeeStar videos coming soon :)
@PhilippeNoth
2 ай бұрын
Thank you for the very useful video; it made me subscribe. One topic that would interest me is how to annotate DSO objects in Siril. I use PixInsight myself, but a friend of mine with whom I share the Seestar uses free software. I intend to show him how to achieve the same results in Siril, using your video as a guide.
@AbdurAstro
2 ай бұрын
Hi there. Thank you for subscribing. To annotate an image in Siril, you have to know at least one object in the image. For example in the image I was processing, I know M13 is in the image so I would use the plate solve option under the hamburger menu at the top right, then click Image Information and then Image Plate Solver. Then type in M13. If you already did color calibration as I did in this video at kzitem.info/news/bejne/oqVul2aQfHiAp4I then you can skip that step as Siril would already do a plate solve during the color calibration step. Then in the bottom bar in Siril, click on the icon that looks like a yellow galaxy inside a white circle. That will annotate objects in the image. To save your image with the annotations, click on the camera icon next to the save icon at the top right in Siril. Siril can identify most major objects but the default catalogue might not be as thorough as PixInsight. To get additional catalogues (if Siril couldn't tag the object you wanted), you would have to follow the steps in this Siril guide: siril.readthedocs.io/en/latest/astrometry/annotations.html
@larrychristianson2244
2 ай бұрын
Terrific. Thank you for teaching us these skills.
@michaeledmonds3027
Ай бұрын
Wonderful.... This was the easiest to follow Siril tutorial to date for me. I'm anxious to add drizzle as a processing script to Siril. How did you figure this out, are you part of the Siril team? Thanks again, I just subscribed, Michael
@AbdurAstro
Ай бұрын
Thank you Michael. That means a lot to me. I am not part of the Siril team and I usually used PixInsight for my data processing. However I had noticed that many of my friends and subscribers didn't have PixInsight so I spent a lot of time reviewing all the official Siril resources. And based on everything I learned there, I tried to make an easy to follow Siril Tutorial.
@jeffwyton3922
Ай бұрын
Excellent tutorial Abdur! Thanks for posting this, very useful. I would also be interested in a tutorial using Gimp functionality for final processing
@AbdurAstro
Ай бұрын
Thank you Jeff. I tend to do all the processing in PixInsight or SIRIL (for anyone who doesn't have PixInsight) but I will try to make one soon which shows final post-processing steps in GIMP :)
@pgadams1
21 күн бұрын
Excellent tutorial. Thanks.
@AbdurAstro
6 күн бұрын
Thanks for watching! :)
@Dutchastrochris
Ай бұрын
Siril made a special script for the Seestar. Check the site. The resulting fits file will have additional data in the resulting image file like exposure time and sensortemp…😇
@AbdurAstro
Ай бұрын
Hi there. Thank you for the heads up. I am aware of the SeeStar specific script but the reason I didn't use that was because it doesn't allow using drizzle integration. Due to the fairly low resolution of the SeeStar (1920x1080), it can benefit significantly from using drizzle integration on most targets). I guess one could modify the SeeStar script to add drizzle integration as well like I did with the script in this video.
@Dutchastrochris
Ай бұрын
@@AbdurAstroI agree!
@michael.mcshan
2 ай бұрын
Thank you very much for posting this tutorial. I am still learning what the SeeStar can do, and this information is very helpful.
@AbdurAstro
2 ай бұрын
Glad to help :)
@matttrowsdale2804
24 күн бұрын
Excellent tutorial, however, is the post-processed picture better? It's difficult to tell as they are not cropped the same? It's certainly a different colour - whether that's good or bad I'm not sure? I am going to try some post-processing but have to say I'm blown away by the results straight out of the seestar. Also, I've seen some people's pictures that have been run through up to 10 different apps and, to me, looks like they've either lost a lot of integrity, or totally over-cooked the colours? Anyway, I thank you very much for your clear and detailed guide.
@AbdurAstro
6 күн бұрын
Hi. The post processed picture has a resolution of 3840x2160 while the original image had a resolution of 1920x1080. I used drizzle integration (that's why I modified the script) to increase resolution. That is why the processed picture looks bigger even though they are both cropped at 100%. The SeeStar is an amazing tool but you can definitely improve the results by processing on a computer. I only used one app in this case (SIRIL).
@santiagomadruga4298
2 ай бұрын
Very clear and good tutorial.
@jacknetzke2516
Ай бұрын
I have this... # Align lights register pp_light -2pass seqapplyreg pp_light -filter-round=2.5k and I don't seem to work around it without an error It's a newer version I suspect
@Knifeprject
2 ай бұрын
Amazing
@AbdurAstro
2 ай бұрын
Thank you! :)
@Blf2150455
2 ай бұрын
This may be the rookiest question ever but once you magnify the image in the siril display window, how do you move it to see the center or the edges. I dont see any scroll bars. Is this a bug?
@AbdurAstro
2 ай бұрын
Any question is a good question because that is how we learn. Siril zooms in on wherever your mouse is positioned when you start zooming in. You can move the image around after magnifying it by holding down the mouse wheel and moving it around. You can also hold down CTRL on your keyboard and then move the image around with your left mouse button.
@Blf2150455
2 ай бұрын
@@AbdurAstro DUH - I should have been able to figure that our myself. This really is a great video and having the sample lights makes all the difference. Thanks for making it and the quick response.
@AbdurAstro
2 ай бұрын
@@Blf2150455 You are very welcome :)
@santiagomadruga4298
2 ай бұрын
Something unclear to me. Color calibration shouldn't be after stretching to fix errors in color channels?
@AbdurAstro
Ай бұрын
Stretching shouldn't introduce errors in the color channels. The creators of Siril recommend doing color calibration right after background extraction.
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