This release is a pre-release and may not be stable for production use.
BioImage Suite Web -- Python Package
This is package exports much of functionality in BioImage Suite Web as a python package. This requires Python v3.5 or later.
You can invoke all modules from the commandline using the globally installed
executable biswebpy. For example to run the image smoothing algorithm type
biswebpy smoothImage -h
The modules are also available for inclusion in your own code under the
namespace biswebpython. The same smoothing filter, for example, can be
imported as:
from biswebpython.core.bis_objects import *
from biswebpython.modules.smoothImage import *
# Create and load an image
input=bisImage();
input.load(_SOME_INPUT_FILENAME_);
print('Input=',input.getDescription());
# Create and execute the smoothing module
smooth=smoothImage();
smooth.execute( { 'input' : input }, { 'sigma' : 4.0, 'debug' : True });
# Get and save the output
output=smooth.getOutputObject('output');
print('Output=',output.getDescription());
out.save(_SOME_OUTPUT_FILENAME_);
For more information on bisweb see:
- The source repository -- https://github.com/bioimagesuiteweb/bisweb
- The actual web application -- https://bioimagesuiteweb.github.io/webapp/
You may also take a look at the examples repository https://github.com/bioimagesuiteweb/examples.
BioImage Suite Web (bisweb) is a web-based medical image analysis suite primarily geared towards Neuroimaging Analysis. We gratefully acknowledge support from the NIH Brain Initiative under grant R24 MH114805 (Papademetris X. and Scheinost D. PIs).
Metadata
Release files for biswebpython 1.1.0b7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| biswebpython-1.1.0b7-py3-none-any.whl | Python 3 | none | any | Details |
Release files / biswebpython-1.1.0b7-py3-none-any.whl
| Download URL | biswebpython-1.1.0b7-py3-none-any.whl |
|---|---|
| Size | 771.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6a9b14c8fc201cbce53239dc3fe461946cb4e271c0db72416a07e62e36a8682d
|
|
BLAKE2b-256 checksum How to use checksums |
c16b412e164ddb3774f53a3b99ed5163dd009e3ce4abd556ab7f496e796fa4f3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.15.0 pkginfo/1.5.0.1 requests/2.9.1 setuptools/39.2.0 requests-toolbelt/0.9.1 tqdm/4.36.0 CPython/3.5.2
|
Security for biswebpython 1.1.0b7
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.