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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
watch neural net video for post 
#whatrocks
setup new bridge server for rendering frames from neural networks #mused
render first user-submitted video to neural radiance field virtual tour #mused
build prototype of Deep Neural Network Single Shot multibox Detector for set-stream/video anonymization
setup new deployment strategy for making neural networks w/less gpu since video data processing tasks are mostly cpu intensive #mused
Experimenting with faster process to create videos 
#theportal
generate videos 
#videoaime
watch more python neural network stuff 
#ciphey
connect tiny nefertari neural network as guided tour, renders super slowly but works #mused
test video recording with small demo
Video editing for two new videos 
#youtube
render locally, use remote as bridge server to neural nets #mused
test & fail 3d environment reconstruction from only 50 images instead of video #mused
test pipeline choosing least blurry image out of every 120 frames for smaller datasets #mused
Expriment with video AI 
#jobboardsearch
experiment with vqgan+clip
generate new videos #videoaime
generate new videos #videoaime