semvec/pypi-packages huggingface dataset:
hakai-segmentation 0.1.0rc2
Hakai Segment Tool for GeoTiff RPAS Imagery
License: MIT
Requires Python: >=3.9,<4.0

Hakai Segmentation
==================

.. image:: http://unmaintained.tech/badge.svg
  :target: http://unmaintained.tech
  :alt: No Maintenance Intended

hakai_segmentation will solve your problem of where to start with documentation,
by providing a basic explanation of how to do it easily.

Look how easy it is to use:
::

    import hakai_segmentation
    # Create the segmentation model instance
    finder = hakai_segmentation.KelpFinder()
    # Run it on your image
    finder("input_imagery.tif", "output_file_path.tif")

Features
--------

- Mussel Presence/Absence
- Kelp Presence/Absence

Installation
------------

Install hakai_segmentation by running:
::

    pip install hakai_segmentation

Contribute
----------

- Issue Tracker: github.com/tayden/hakai_segmentation/issues
- Source Code: github.com/tayden/hakai_segmentation


License
-------

The project is licensed under the MIT license.
Topsis-AYUSH-101903749 1.0.0
Multiple criteria decision making (MCDM) using TOPSIS
License: MIT

#Topsis-Ayush-101903749
Multiple criteria decision making (MCDM) using TOPSIS

## Installation
```pip install topsisAyush```

##User Manual
1. Import the library.
2. Run the program through command line as: 
   python <program.py> <InputDataFile> <Weights> <Impacts> <ResultFileName>