matchviz
Tools for visualizing interest points and correspondences between interest points generated alignment software for debugging alignment of large images.
Functionality
At present, this project supports loading interest point information from output generated by bigstitcher and saving points or lines as neuroglancer precomputed annotations, which can be rendered in neuroglancer.
Installation
Get the latest version from pypi:
pip install matchviz
License
matchviz is distributed under the terms of the MIT license.
1 maintainer
Metadata
1 maintainer
Release files for matchviz 0.0.13
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| matchviz-0.0.13.tar.gz | 26.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| matchviz-0.0.13-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 51.9 kB
Release files / matchviz-0.0.13.tar.gz
| Download URL | matchviz-0.0.13.tar.gz |
|---|---|
| Size | 26.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.5.4
|
Release files / matchviz-0.0.13-py3-none-any.whl
| Download URL | matchviz-0.0.13-py3-none-any.whl |
|---|---|
| Size | 25.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.5.4
|
Security for matchviz 0.0.13
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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