Metadata-Version: 2.4
Name: imageregistrationhelper
Version: 0.0.2
Summary: Register your images with interactive widgets in Jupyter notebooks
Home-page: https://github.com/fligt/imageregistrationhelper
Author: Frank Ligterink
Author-email: frank.ligterink@gmail.com
License: MIT License
Project-URL: Documentation, https://fligt.github.io/imageregistrationhelper
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: packaging
Requires-Dist: opencv-python
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: holoviews
Requires-Dist: datashader
Provides-Extra: dev
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Dynamic: author-email
Dynamic: classifier
Dynamic: description
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Dynamic: keywords
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# Welcome to imageregistrationhelper


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The capability to register or overlay of different technical images is
important in cultural heritage science. Although such overlays can be
created with various programs such as photo editors, the coordinates of
corresponding landmarks and transformation matrices is typically lost.

This python package is developed to perform interactive four point image
registration (a.k.a. homeography) within Jupyter notebooks. In this way
image registration can be made part of a larger computational workflow.
This is made possible with holoviews.
