Skip to content

Latest commit

 

History

History
34 lines (22 loc) · 556 Bytes

README.md

File metadata and controls

34 lines (22 loc) · 556 Bytes

Deep-Steg

Installation

Use the package manager pip to install modules in Project.

pip install -r requirements.txt

Usage

To train Deep, Auto Encoder based, Steganography models, type:

. ./train.sh

If Steganography models already exist, see evaluation by typing:

. ./evaluate.sh

To view datasets:

# for original fashion_mnist dataset
python view.py 

# for encoded and auto encoded datasets
python view.py [-v | --version] {encoded / auto_encoded} [-z | -o]