Image Processing Functions (impro)
This library is dedicated to image processing functions, comprising Machine Learning algorithms in the Intelligence module, and light-tissue interactions simulations in the Monte Carlo module.
Module of Intelligence
With this module you can train and test Machine Learning algorithms, like Random Forest
Use the following code to import this module after install this package:
from impro import intelligence
How to Install
You can install using pip:
pip install impro==0.0.6
If you have a previous version of impro installed, it is a good practice to uninstall it first
pip uninstall impro
pip install impro==0.0.6
- author: Marlon Rodrigues Garcia
- contact: marlon.garcia@unesp.br
- institution: Sao Paulo State University (Unesp)
Scientific Research
This work is the product of the research being conducted at two universities in Brazil:
Sao Paulo State University (Unesp)
- Dept. of Electronic and Telecommunication Engineering
- School of Engineering, Campus of Sao Joao da Boa Vista
- website: https://www.sjbv.unesp.br/
University of São Paulo (USP)
- Biophotonics Laboratory, Optics Group (GO)
- São Carlos Institute of Physics (IFSC)
- website: https://www2.ifsc.usp.br/english/
Metadata
Release files for impro 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| impro-0.0.6.tar.gz | 12.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| impro-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.2 kB
Release files / impro-0.0.6.tar.gz
| Download URL | impro-0.0.6.tar.gz |
|---|---|
| Size | 12.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / impro-0.0.6-py3-none-any.whl
| Download URL | impro-0.0.6-py3-none-any.whl |
|---|---|
| Size | 13.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.9.19
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