I don’t know if this is just user error, or something I’m not aware of - but after posting this image: [Capture Challenge] People without people - #64 by 123sg
I noticed that while the stitching seems absolutely perfect, there seems to be some slightly odd brightness changes happening on the tree trunk and a background tree:
You can try debug mode CTRL + D and then in stitching options switch to the OpenCV blending algorithm. The details won’t be as good as with Multiblend though.
Also feel free to send me a few images where I could test this.
Thanks Tomas! I’ll try debug mode and the other algorithm later today.
Well, xpano’s stitching well and truly beat MICE in terms of positioning accuracy - nothing I could do in MICE could get rid of that unsightly misalignment on the roof.
I just tried that - sure enough solved my original issue, but it goes very fuzzy in the shadows. I think I prefer the original problem!
Here are the source images for the pano above - licenced with the usual Play Raw Creative Commons, By-Attribution, Share-Alike. K10d pano sg123.zip (38.0 MB)
Hope they might be useful.
Finally, thanks for your work! Regardless of my issue above it’s great software.
Thanks for the nice feedback! Really glad that the app is useful for you! I’m able to replicate your results with Xpano - some weird brightness changes with Multiblend and bad details with the OpenCV blener.
I saw the OpenStitching project before, yes. Now I have tested it as well, but didn’t manage to stitch the images you uploaded in a quick test with it.
I’ve got this result using stitch * --final_megapix 0.5 --adjuster reproj.
@123sg I think Xpano and the stitching package have lot’s of overlap, both heavily rely on opencvs stitching module. @krupkat I think Xpano is mainly a gui helping users by not having to use a command line. stitching is a python wrapper around the library focusing on being able to get also all intermediate results.