Raw to Ready In 0 Clicks?! - The Power of WBPP Custom Steps (Free PixInsight Script)
Learn how to go from raw to ready in 0 clicks with WBPP Custom Steps! This free script will revolutionize your workflow with its no code pipeline builder. Say goodbye to manual pro...
Is WBPP an add on for Pix Insight? Or, is it a stand alone stacker?
it's a script within PixInsight
I got most of this working it is so very nice. I'm having trouble its not sending me an image at the end like you did in the video. The script to send images does work but I don't know how to make it work at the end automatically. I tried adding the image send script to the process container but it did not like the script it told me.
The telegram one is currently sending the original integrated image only. I haven’t found a way to send the custom processed (because the name of the step is always different) but I’m working on it! And also to make the whole thing a lot easier to use
@the_space_koala thanks, need to find a way to run your send image script from the process container. Then we could send many versions along the way.
Very nice, thank you. Wish you were my neighbor here in Ohio.
Sounds like taking the Human element out of image creation all together. Leaves me cold. Might as well just buy an image online.
it is up to you what you choose to do with it. I personally let it do the boring parts and leave creative processing to myself. But there are people out there who couldn't care less about processing, they just want to go out with the scope and shoot the stars - for them the auto processing could be a great option
Amazing Luca! 🤩🎉 thank you so much 😃
Great video! This is great to learn. For the more technically inclined who are concerned about what happens with their data after interacting with an AI model, Ollama and LM Studio are two examples of no cost ways to use LLMs locally without any of your data being sent back to the OpenAI servers to store, or whoever you use. There are many videos on YouTube about using local models through Ollama. It really helps to have an NVidia GPU or a Mac with the Apple CPUs for performance. The local models are smaller and may or may not be less accurate for the specific use case, but I have found them to be useful for learning PixInsight scripting.
that's a great tip! does it update the model as you go?
@the_space_koala It does not. Your questions never go back to their servers for them to use. It's up to you to get model updates. That said, there are ways you can augment local models with your own documents. It requires a little coding to do. All of the tutorials I have seen use Python. If you were looking for answers about a new feature of a brand new version of the C++ standard library, you could get the documentation in PDF and add it to the knowledge base for the local model you are using. There are some good basic introductions to using local LLMs on YouTube. I first heard about it on "Dave's Garage" (former Microsoft Operating Systems engineer). There is another channel by "Matt Williams" has Ollama tutorials, and he was part of the team that developed Ollama. There are other methods available for adding to the knowledge base, but I am fairly new to this and haven't explored them. I really like your channel. I have learned a lot.
Where do you get information on the API WBPP provides to the Pipeline Builder Script. This is similar to the documentation provided on the PixInsight forum that you described for the Event Script
How to code a Pipeline Builder Script is currently undocumented. I know the developer of WBPP and he was kind enough to provide me with a sample pipeline builder script that I used as a starting point to create my No-Code version which is documented on my Website.
This is just image manipulation by software. It doesn't even resemble photography.
What do you think PI is for then..Pixinsight IS software to manipulate your pictures. Stacking cleaning modifying it is ALL done by software. No different to any other astro software or Photoshop...dude your comments are irrevevelent
My script does not do anything “magical”, it just allows people to add custom steps to WBPP which relies on standard, scientifically based, astrophotography processing techniques. Someone can use it to embed in WBPP the additional post processing steps they would do manually afterwards or someone else may like to experiment adding gradient removal or other processes at an early pipeline stage.
I am guessing that you define being a photographer as someone who takes a photo on film and then develops their own negatives and prints their own pictures in a darkroom. I think you have missed the point here.
@the_space_koala συνεχίστε αυτό που κάνετε έχει πολύ μεγάλο ενδιαφέρον και είναι πολύ χρήσιμο για εμένα δεν θέλω να γυρίσω στην εποχή που ώρες ολόκληρες προσπαθούσα να φωτογραφίσω με το μάτι μου καρφωμένο στο φωτεινό σταυρόνημα
Fantastic, very informative and professionally presented. Thanks for all your hard for the community. I will have to give it a go.
I am so glad you found it helpful
Unfortunately since the upgrade to 1.9.3 WBPP script didn't want to stack my subs captured in Sharpcap. I had to roll back to 1.9.2 Don't know what the hell is going on with 1..3
that sounds frustrating - I heard others having issues with stacking on the latest update as well... hope they resolve it soon! do you know what the error is?
@the_space_koala No that's what is frustrating. I plan on using 1.9.2 until further notice, when they say bug fixes they never list which ones are fixed lol Oh well will just play the waiting game I guess, thanks for the reply
really appreciate all. the hard work in R&D you have presented (so professionally) here!
Thank you! I'm glad you found the presentation to be helpful.
I've been using this since your presentation at NEIAC. This is a great way to add automation by extending WBPP to include common processing steps. Much more useful than "revolutionary" fully automated processing (not naming names!).
haha I agree - automation is awesome but we don't have to reinvent the (worse, less functional) wheel :P
Extremly interesting and helpfull content - thanks alot 👍
Absolutely brilliant! Thank you!
Very NICE THX for all the work you did!!!
Bedankt
Thanks Rigo, I am glad you enjoyed this
that is exactly what I was looking for. Thanks so much. I will give it go to get this working.
awesome! Glad this is helpful, good luck
@the_space_koala can you pls share the process container with all the variables?
Thank you very much ,that's brilliant idea. Good luck.