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	Color Palette Extraction	k-means, pixel sampling
02	Color Space Analysis	RGB, HSV, HSL
03	Comparative Artist Analysis	palette comparison, PEMD
04	Artist Color Signature	statistical profiling
05	Color Harmony Principles	triadic, analogous, tetradic
06	Thematic Color Analysis	CCI, hue entropy
07	Color Analysis Pipeline	end-to-end workflow
08	Movement Color Evolution	temporal analysis
09	Color Psychology	valence, arousal
10	Style Classifier	scikit-learn, feature engineering
11	Color Naming	CIEDE2000, four vocabularies
12	Art Movement Classification	HPP, CPS
13	Palette Generation (VAE)	PyTorch, generative models
14	Artist Color 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/