Dockerized multi-channel image processing framework
Project description
steinbock
Dockerized multi-channel image processing framework
Documentation is available at https://bodenmillergroup.github.io/steinbock
Project details
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
steinbock-0.12.0.tar.gz
(236.5 kB
view details)
Built Distribution
File details
Details for the file steinbock-0.12.0.tar.gz
.
File metadata
- Download URL: steinbock-0.12.0.tar.gz
- Upload date:
- Size: 236.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 19343358337d7768f2ef85361116067dcd8f41980f8448084eb4da681d03eb9f |
|
MD5 | 510eec5ab50b4b671bb1c109d575e40a |
|
BLAKE2b-256 | 21b840fab46ea4313aa189e9f78cfe43cb85094f37ceded45f89c294495eec3f |
File details
Details for the file steinbock-0.12.0-py3-none-any.whl
.
File metadata
- Download URL: steinbock-0.12.0-py3-none-any.whl
- Upload date:
- Size: 50.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6a4d344800f83187bddff9037f474220ea582309ba1d3a03c70d3fa055c6d1b1 |
|
MD5 | ddcd4785333b0c5fc55dc9e74845c5bf |
|
BLAKE2b-256 | 05af081a37145c9d34cec8324af88edb257d1f3a990a9329219781b54ebcc5be |