Bandit Optimization
The bandit optimization package implements the algorithms, models and objectives that are used for the optimization of microscopy images.
The algorithms provided within this repository are used the optimization of STED microscopy. The repository of STED microscopy optimization is available here.
Installation
You can install banditopt via pip.
pip install bandit-optimization
Note. When importing the module, bandit will raise a warning about not being able to load the microscope interface. This warning can be ignored.
License
Distributed under the terms of the CC-By v4.0 license.
1 maintainer
Release files for bandit-optimization 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bandit-optimization-0.0.1.tar.gz | 41.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bandit_optimization-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 86.5 kB
Release files / bandit-optimization-0.0.1.tar.gz
| Download URL | bandit-optimization-0.0.1.tar.gz |
|---|---|
| Size | 41.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/5.0.0 CPython/3.8.8
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Release files / bandit_optimization-0.0.1-py3-none-any.whl
| Download URL | bandit_optimization-0.0.1-py3-none-any.whl |
|---|---|
| Size | 44.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.8.8
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