semvec/pypi-packages huggingface dataset:
imagehide 0.0.2
This was made and developed by techraj (@Teja Swaroop). I've just converted it to a wheel file :)
License: MIT

ï»¿# IMGHIDE

![enter image description here](https://i.ibb.co/MZR48SH/imgide-sc.png)

Hide secret texts/messages inside an image. You can optionally encrypt your texts with a password using AES-256 before encoding into the image.

Inspired from this [Medium post](https://medium.com/better-programming/image-steganography-using-python-2250896e48b9)

Watch [explanation video](https://youtu.be/_KX8ORUA_98)

## Installation

    pip install imagehide


## Usage

    import imagehide

**Encode**

 - Choose *Encode* in the options menu
 ![enter image description here](https://i.ibb.co/6rG8HBt/imghide-sc2.png)
 
 - Enter the image path (with extension)
 ![enter image description here](https://i.ibb.co/RCJCGCh/imghide-sc3.png)
 - Enter the message to be hidden
 ![enter image description here](https://i.ibb.co/ngXDwHk/imghide-sc4.png)
 - Choose a password to encrypt with AES-256 (optional)
 ![enter image description here](https://i.ibb.co/87qCNZg/imghide-sc5.png)

The image is encoded and saved as a ***PNG*** file.

**Decode**

 - Choose *Decode* from the menu
![enter image description here](https://i.ibb.co/nkvzjCJ/imghide-sc6.png)

 - Enter the path of the encoded image (with extension) and type in the password to decrypt (leave empty if no password was used)
![enter image description here](https://i.ibb.co/HTP4b28/imghide-sc7.png)

The decoded text will be displayed on the terminal.
ldax 0.7.12
Distributed Automation for XNAT
License: MIT

========================================================
DAX: Distributed Automation for XNAT
========================================================
*LDax*, is the legacy version of DAX. 
It is maintained at https://https://github.com/VUIIS/LDax

*DAX*, is  a python package developed at Vanderbilt University, Nashville, TN,
USA. It's available on github at the address: https://github.com/VUIIS/dax.
See the different tutorials bellow to learn more about this package and how
to use it.

XNAT gives an incredible flexible imaging informatics software platform to
organise, manage any imaging data. It also provides a Pipeline Engine to run
processings on your data. The pipeline engines has an important learning curve
and doesn't provide a way to run processes when your XNAT instance isn't
connected to your cluster.

*DAX*, an open-source initiative under the umbrella of Vanderbilt University
Institute of Imaging Science (VUIIS), is a Python project that provides a
uniform interface to run pipelines on a cluster by grabbing data from a XNAT
database via RESTApi Calls.

*DAX* allows you to:

* extract information from XNAT via scripts (bin/Xnat_tools/Xnat...)
* create pipelines (spiders/processors) to run pipelines on your data
* build a project on XNAT with pipelines (assessors)
* launch pipelines on your cluster and upload results back to xnat
* interact with XNAT via python using commands in XnatUtils.
ccf-spark 0.3.1.1
A little CCF implementation in a Spark context with networkx
License: MIT

# CcfSpark version 0.3.1.1

A little CCF implementation in a Spark context with networkx.

[![Build Status](https://travis-ci.com/ErnestBidouille/ccf-spark.svg?branch=main)](https://travis-ci.com/ErnestBidouille/ccf-spark)
[![codecov](https://codecov.io/gh/ErnestBidouille/ccf-spark/branch/main/graph/badge.svg?token=ZOJUT7BGVF)](https://codecov.io/gh/ErnestBidouille/ccf-spark)

## Installation 

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install.

```bash
pip install ccf_spark
```

## Usage

```python
import ccf_spark

sc = SparkContext()
p = ccf_spark.CcfSpark(
    sc,
    secondary_sorting=True,
)
p.iterate_all()
print(p.print())
```
Or see example.py 

## Authors
- Théo Chennebault
- Louis Ledoux
- Théophile Dano

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

## License
[MIT](https://choosealicense.com/licenses/mit/)