price
2 TEZ250/250 minted
Project #1641
Each disegnatore learns a different portion of a city map, looking at it stroke by stroke and creating a probabilistic Markov model of the sequences of relative angles and distances, tracing the outline of each building in that portion of the map. This way, each disegnatore has a different internal understanding of the city.
It then starts from the middle of the canvas and wanders out, stroke by stroke, probability by probability, trying not to intersect any previously drawn outlines and avoiding the edges of the canvas until a predetermined number of edges have been drawn.
The Markov chain drawing model is created during execution from a text file representation of a city map.
Open live to see your disegnatore drawing or to resize.
It then starts from the middle of the canvas and wanders out, stroke by stroke, probability by probability, trying not to intersect any previously drawn outlines and avoiding the edges of the canvas until a predetermined number of edges have been drawn.
The Markov chain drawing model is created during execution from a text file representation of a city map.
Open live to see your disegnatore drawing or to resize.
Price2 TEZ(1)Royalties20.0%(1)Tags
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generative
Markov
probability
probabilistic
drawing
architecture
city
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