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w/larger datasets, test lowering number images to sample from, but results too blurry to be usable :/ so go back to lowering fps of input data 
#mused
clean data & filter blurry images then start processing/aligning image datasets again #mused
test & fail 3d environment reconstruction from only 50 images instead of video #mused
fail w/medium dataset from 360 video (~6,000 images) like small, but full requires too much memory, next strategy is render each input separately #mused
render out two videos from neural networks on tiny datasets to test new method of capture & pipeline #mused
splash image sharper 
#names
Fix broken pipeline for 
#ipregistry dataset samples
better image processing failure fallbacks in 
#readbot
make image previewer backdrop blurred 
#interiorai
spends hours optimizing the brightness, contrast and blur of the auto segmented object mask so it works well for virtual staging and adding auto upscale #interiorai
blurred a bunch of unsplash images 
#unbokeh
test first automated pipeline renders that look kind of messed up #mused
