Graphs and Vogue Dance: using data structures to create choreographies
summary
Claims that choreography can be encoded as a directed graph with nodes holding photos of poses and edges as transitions, and that a DFA can generate or validate pose sequences; implements this with networkx and matplotlib plus image loading (PIL) to put images as node labels, and uses an automata library to run input strings over states. Works for a small set (three poses demonstrated), produces valid sequences but lacks automated pose detection and scales with manual labeling.
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chapters (8)
- 0:00Graphs and vogue dance intro
- 3:20What is vogue dance
- 6:11Graph theory basics
- 13:29Trees and binary trees
- 15:56Dance poses as graphs
- 17:43Automata for choreography
- 23:35Automata in practice demo
- 24:44Q&A
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