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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) |
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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.
1 maintainer
Metadata
1 maintainer
Release files for dictk 0.1.2
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