Picasso, Geometry, Jupyter
summary
Computationally replays Picasso’s eleven prints by computing pixel masks for the 11 prints and the ten transitions, producing color-coded diffs that mark unchanged, removed and added strokes; uses Python, OpenCV and Jupyter with interactive widgets to animate line-by-line interpolations and onion-skin sequences; applies a Douglas–Peucker line simplification (tunable tolerance) to approximate the final abstraction and shows where the algorithm succeeds and where it makes different, revealing mistakes.
AI-written summary · about
chapters (9)
- 0:00Start
- 0:39How To Draw an Owl
- 2:16Picasso Got Stuck
- 4:09Lithography
- 18:32The Douglas Puker Algorithm
- 19:16Triangle of Abstraction
- 19:39Pure Abstraction
- 24:47Color Code
- 26:34Interactive Widgets
related talks
56mPicasso's terminal; data science and AI in the visual arts
57mWhat if Picasso was a robot? Teaching art to the machine
25mWhat if Picasso was a robot? Teaching art to the machine
27mRecreating Retro Computer Art with JS!
24mPractical examples of interactive visualizations in JupyterLab...
51mGoofing Off with Fun (Big) Data
01h 27mImage Generation with AI
19mGrammar of Graphics in Python with Plotnine