unraphael

Decoding Raphael: Computational Study of the Production and Reproduction of Italian Renaissance Paintings.


Keywords
art, raphael, computer-vision, renaissance, python
License
MIT
Install
pip install unraphael==0.2.0

Documentation

Documentation Status Coverage Tests PyPI - Python Version PyPI DOI

Unraphael banner Unraphael banner

Unraphael

Unraphael is a digital workflow tool that uses computer vision to unravel the artistic practice of Raphael (Raffaello Sanzio, 1483-1520), while providing new digital approaches for the study of artistic practice in art history. Dozens of faithful reproductions survive of Raphael's paintings, attesting to the lucrative practice of serial production of paintings within the artist's workshop and to the lasting demand for the master's designs. This tool aims to provide new insights into Raphael's working methods through new digital approaches for the study of artistic practice in art history.

To install:

pip install unraphael

Try unraphael in your browser!

You can also try unraphael directly from your browser.

Image similarity Image preprocessing Object detection
Image similarity Image preprocessing Object detection

Using the unraphael dashboard locally

To install and use the dashboard locally:

pip install unraphael[dash]
unraphael-dash

Development

Check out our Contributing Guidelines to get started with development.

Suggestions, improvements, and edits are most welcome.