large-image-source-bioformats 1.29.1.dev22
pip install large-image-source-bioformats==1.29.1.dev22
Newer version available (1.32.2)
Released:
An bioformats tilesource for large_image.
Navigation
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: Apache Software License (Apache Software License 2.0)
- Author: Kitware, Inc.
- Tags large_image, tile source
- Requires: Python >=3.8
-
Provides-Extra:
girder
Classifiers
- Development Status
- License
- Programming Language
Project description
An bioformats tilesource for large_image.
See the large-image package for more details.
Project details
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: Apache Software License (Apache Software License 2.0)
- Author: Kitware, Inc.
- Tags large_image, tile source
- Requires: Python >=3.8
-
Provides-Extra:
girder
Classifiers
- Development Status
- License
- Programming Language
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
large_image_source_bioformats-1.29.1.dev22-py3-none-any.whl
(14.9 kB
view details)
Uploaded
Python 3
File details
Details for the file large-image-source-bioformats-1.29.1.dev22.tar.gz
.
File metadata
- Download URL: large-image-source-bioformats-1.29.1.dev22.tar.gz
- Upload date:
- Size: 17.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 439dae0576ba7680af7ca9c3cb376c65b998e6342c7e4d4dd07efa7013474e2b |
|
MD5 | ddaaf536cb7497a788cd197f09ce04fa |
|
BLAKE2b-256 | b20405088485cd9ae1beaee6f908386c3b94193bd8bb1714de79865c8982a13a |
File details
Details for the file large_image_source_bioformats-1.29.1.dev22-py3-none-any.whl
.
File metadata
- Download URL: large_image_source_bioformats-1.29.1.dev22-py3-none-any.whl
- Upload date:
- Size: 14.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.10.14
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 728e694e70ff39cdd9560557e7b66fffe183ecb96b7189c9a910bf65c7d2a184 |
|
MD5 | 70309c3a06d8c0cbe8a36896ab93811c |
|
BLAKE2b-256 | 1c8868ee0f96964a2a6069f095af0a255681e31e939e730e7ff0f46070e05ea5 |