pyAstroStack: First alpha release!

First I have to say that this project was a lot bigger than I thought. Even on the limited functionality it has now there was a lot more work I was prepared to. And all that work was surprisingly mostly user interface and saving the temporary files. I'll write a bigger post on all the problems I ran into and let this post be the announcement of the first released version of pyAstroStack.

No, I really haven't come up with a better name...

PyAstroStack 0.1

https://bitbucket.org/mikko_laine/pyastrostack

PyAstroStack is an open source stacking software for astronomical images taken with DSLR. This first version includes basic functionality such as subtracting and dividing images, debayering, registering and stacking. Supported image formats are limited to Canon EOS 1100D CR2 and similar. Don't expect anything spectacular. I'm not very experienced programmer.

Here's an example image what pyAstroStack can do. This is a median stack of about 30 exposures.

Image stacked with pyAstroStack. Full size in http://www.flickr.com/photos/96700120@N06/12621177443/

Features

• Command line user interface
• CFA to RGB conversion on OpenCL which makes it quite fast
• Bilinear
• LaRoche-Prescott
• Variable Number of Gradients
• Registering
• SExtractor and method from http://adsabs.harvard.edu/abs/1986AJ.....91.1244G
• Aligning
• Affine transformations by ImageMagick
• Stacking
• Mean value
• Median value

Supported cameras

• Canon EOS 1100D
• Everything else from Canon that has Bayer filter RGGB

Usage

• Command line only. You really need to read the manual to use this. The software could really be user friendlier.
• There might be a GUI in the future

Installation

Download and extract source package. See INSTALL.txt.

Help needed!

I have only access to one camera. Also my data isn't too good, I'm aware of that. That of course limits my test runs. What I would really appreciate is some raw photo sets that allows me to run tests on different features. 

• Set of some light frames and proper flat frames. I'm bad at taking flats whenever I even bother to take them. This has made it quite difficult to implement flat frame calibrations properly.
• Single example images from different cameras. This is just to make sure my program recognizes them and is able to debayer them properly. These images don't even have to be astronomical. Just something with recognizable colors.

If you would like to help, please contact via Google+