Tutorials

renoir ships with a 17-notebook progressive curriculum. The notebooks are located in the examples/color_analysis/ directory and can be opened with Jupyter Lab or Jupyter Notebook.

#	Title	Key Concepts
01	Colour Palette Extraction	k-means, pixel sampling
02	Colour Space Analysis	RGB, HSV, HSL
03	Comparative Artist Analysis	palette comparison, PEMD
04	Artist Colour Signature	statistical profiling
05	Colour Harmony Principles	triadic, analogous, tetradic
06	Thematic Colour Analysis	CCI, hue entropy
07	Colour Analysis Pipeline	end-to-end workflow
08	Movement Colour Evolution	temporal analysis
09	Colour Psychology	valence, arousal
10	Style Classifier	scikit-learn, feature engineering
11	Colour Naming	CIEDE2000, four vocabularies
12	Art Movement Classification	HPP, CPS
13	Palette Generation (VAE)	PyTorch, generative models
14	Artist Colour DNA	cross-vocabulary translation
15	Clustering & Anomaly Detection	DBSCAN, isolation forest
16	Temporal Artist Evolution	longitudinal analysis
17	Capstone Project	SHAP, explainable AI

Running the Notebooks

pip install 'renoir-wikiart[visualization]' jupyter
jupyter lab examples/color_analysis/