@afre
The Lua scripts in dt are very limited and not able to manipulate module parameters. 
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@Tobias Too bad.
@jchnkl I suggest that you do minimal processing on the raw files (I prefer linear no-clip float output at this stage) and copy the tags over to the *.tif. TIFF tags can be modified, so you could write a script to smooth out the outliers on the WB ramp. Then open them in dt for further post-processing.
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Yeah, that’s really a shame. It could be so powerful for batch processing pictures, but right now it’s rather limited! 
That’s a really good suggestion! I will definitively look into that! 
Quick update: I finally wrote a python script which
- reads the WB coeffs from the RAW files
- smoothes out the outliers (still wip, not that easy unfortunately)
- packs the new coeffs as binary C struct & serializes them
- writes the coeffs back as temperature module to darktable XMPs
This works pretty well already, however, I need to find a good smoothing algorithm. I’ll keep you posted 
Hi,
I promised to reshoot and redo the foreground, so here it is:
If you want, i can post it as a new topic. Personally, I like it much better now
Update on the Python script I was talking about: It’s ready and I’ve used it already to process a Timelapse. I will make it available to the public once I can set aside some time.
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Me too: looks good!
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