dictk 0.1.2

Digital Image Correlation Toolkit

dictk

Digital Image Correlation Toolkit

dictk is a Python library for digital image correlation (DIC) — comparing images of a specimen before and after deformation to measure displacement and strain fields.

This is an early-stage skeleton: a small, real, tested primitive (zero-normalized cross-correlation) rather than a full DIC pipeline.

Documentation

🚀 main (released)	🛠️ dev (in development)

Installation

pip install dictk

Usage

import numpy as np
from dictk import zero_normalized_cross_correlation

a = np.array([[1.0, 2.0], [3.0, 4.0]])
b = np.array([[2.0, 4.0], [6.0, 8.0]])

zero_normalized_cross_correlation(a, b)  # 1.0

Development

This project uses uv for dependency management.

uv sync --all-extras --dev
uv run pytest --cov=src/dictk
uv run ruff format --check
uv run ruff check

Contributing

See CONTRIBUTING.md for development setup, testing, docs, and release instructions.

License

GPL-3.0-or-later. See LICENSE.