Welcome to imageregistrationhelper
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.
Metadata
Release files for imageregistrationhelper 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| imageregistrationhelper-0.0.2.tar.gz | 6.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| imageregistrationhelper-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.3 kB
Release files / imageregistrationhelper-0.0.2.tar.gz
| Download URL | imageregistrationhelper-0.0.2.tar.gz |
|---|---|
| Size | 6.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/6.1.0 CPython/3.12.9
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Release files / imageregistrationhelper-0.0.2-py3-none-any.whl
| Download URL | imageregistrationhelper-0.0.2-py3-none-any.whl |
|---|---|
| Size | 5.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
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