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test pipeline choosing least blurry image out of every 120 frames for smaller datasets #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
clean data & filter blurry images then start processing/aligning image datasets again #mused
Reduce image quality #curated
fix memory bug #interiorai by scaling input image smaller
#pintura further refine image size and crop input
try save money by reducing steps of upscaler from 18 to 9 and image gen from 40 to 30 without noticeable differences so then we save 1 minute of GPU time per image gen or $0.07 per photo or tens of thousands $ per month #photoai
load videos low res #skrrt
change image to higher res images
better image processing failure fallbacks in #readbot
maybe use a smaller screenshot frame #openform
resize slow loading images #codewithhugo
reduced image compression to improve quality of images on gocapture #meratek
test & fail 3d environment reconstruction from only 50 images instead of video #mused
#contracting Cut preview images down to 600px instead of 300px because it’s no longer 2017 and we now have higher res screens and more bandwidth and the old preview images were looking blurru