A package for common blockwise computations for large microscopy volumes.
Project description
volara
Easy application of common blockwise operations for image processing of arbitrarily large volumetric microscopy.
Available blockwise operations:
FragmentExtraction: Fragment extraction via mutex watershedAffAgglom: Supervoxel affinity score edge creationArgMax: Argmax accross predicted probabilitiesDistanceAgglom: Supervoxel distance score edge creationGlobalSeg: Global creation of look up tables for fragment -> segment agglomerationLUT: Remapping and saving fragments as segmentsSeededExtractFrags: Fragment extraction via mutex watershed that accepts skeletonized seed points for constrained fragment extraction
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
volara-1.0.0.tar.gz
(33.6 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
volara-1.0.0-py3-none-any.whl
(40.1 kB
view details)
File details
Details for the file volara-1.0.0.tar.gz.
File metadata
- Download URL: volara-1.0.0.tar.gz
- Upload date:
- Size: 33.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fea267dd22169228e08773d798df64294c60207e472bef3f7337ef187424d8ca
|
|
| MD5 |
ecfd79078c69008fa2a3bf98a466484f
|
|
| BLAKE2b-256 |
75ccede9b11a061d755b260615bd208e23e39b92c5170964a3308bf2fae2a4d9
|
File details
Details for the file volara-1.0.0-py3-none-any.whl.
File metadata
- Download URL: volara-1.0.0-py3-none-any.whl
- Upload date:
- Size: 40.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
529130843d4643d9ee94bde7c664ed5733c24d495f741c523eb1139bbc12c9fa
|
|
| MD5 |
db4036f1e89463994bc915c6e45387aa
|
|
| BLAKE2b-256 |
bbc95c20f7625fb6aaa25af11160f3d45898300aeb7a161cbca7beadf1053133
|