Metadata-Version: 2.1
Name: Sentinel-imgpackage
Version: 0.0.8
Summary: Sentinel satellite image module
Home-page: https://github.com/dru-44/sen
Author: Dru44
Author-email: dhruthik28@gmail.com
License: MIT
Project-URL: Bug Tracker, https://github.com/dru-44/sen/issues
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: rasterio
Requires-Dist: plotly
Requires-Dist: earthpy
Requires-Dist: tensorboard
Requires-Dist: rich
Requires-Dist: lightgbm
Requires-Dist: seaborn

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# Sentinel 2 image package
[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)                 

Under construction! Not ready for use yet! Currently experimenting and planning!

<!-- GETTING STARTED -->
## Getting Started

This is an example of how you can set up your project.

Follow these simple example steps.

### Prerequisites

This project requires ``python3`` installed.


### Installation



1. Clone the dataset repo
   ```sh
   git clone https://github.com/your_username_/Project-Name.git
   ```
2. Install pip packages
   ```python
   pip install Sentinel-imgpackage
   ```

## Usage

Model implementation requires sufficient amount of GPU and CPU resources.

Best when used in virtual notebooks like
* Google Colab Pro 
* Gradient 



## Example of How To Use (Alpha Version)

Creating obj

```python

from senpkg import *

path="your data source path"
gt="ground-truth .mat filename"
mname="model name"

p= Analysis.senA(path)
q=LandCoverCla.senC(path,gt)
r=LandCoverMod.senM(path,gt,mname)
```
## License

Distributed under the MIT License. See `LICENSE.txt` for more information.

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