2023-09-16: APP 2.0.0-beta23 has been released !
Improved performance again, CMD-A now works in macOS File Chooser, big improvement for bad column cosmetic correction, solved several bugs
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
All
Since upgrading to 1.083 stable, I have consistently gotten an error regarding the adaptive pedestal and pixels being clipped to zero when stacking. The number of pixels clipped has varied with the data set. The images were captured with a stock Canon T4i. The Lights were captured using the Expose to the Right approach, with signal at 50-70% of the histogram - they should not be considered under exposed. I have ensured that my Darks and Bias were taken at about the same ambient temperature as the Lights (48-52F). Receiving such a warning is disconcerting, and my final stacked images seem to have more noise than usual. Can you shed some light on the cause of this warning, and how to best mitigate it? Thanks in advance.
Regards - Martin
@martinontheroad Hi Martin, see Mabula's comment in this post
https://www.astropixelprocessor.com/community/appreleases/dark-frame-errors/
for an explanation of the popup and why it is shown. Please download the APP installer again and reinstall APP. Mabula has made some changes since 1.083 was released and has created new installers. With these changes, the condition that triggers the popup has been relaxed and you shouldn't get it anymore unless there is a big problem with the data.
Wouter - Many thanks for the link. I will reinstall. I was concerned there were serious errors in my data that was triggering this.
Regards, Martin
There might still be issues with the data, because that's why the warning is there. It's just set to a higher threshold now, but if it pops up again, you can continue just fine, but be aware you can actually improve the data.
