Steganographia

An invisible digital watermark service using Stegastamp

How to use

1. Install dependencies and run dev server:

yarn install

2. Download the pretrained model from Stegastamp

# encoder model
wget http://people.eecs.berkeley.edu/~tancik/stegastamp/saved_models.tar.xz
tar -xJf saved_models.tar.xz
rm saved_models.tar.xz
# decoder model
wget http://people.eecs.berkeley.edu/~tancik/stegastamp/detector_models.tar.xz
tar -xJf detector_models.tar.xz
rm detector_models.tar.xz

3. Move `saved_models' and 'detector_models' folder into the public folder

4. Setup Python environment (python 3.3-3.7)

pip install -r requirements.txt
pip install tensorflow=1.13.1 

6. Cockroachdb setup

• Create certs folder under src, put doot-hack-ca.crt under this folder.
• Create config folder under src, put dbConfig.tsx under this folder.
• Make sure your local/server IP is registered under Networking, Authorized Networks.

5. Run yarn dev, then open http://localhost:3000 with your browser to see the result.

Demo

Encoding data to an image:

Retrieving watermark data from the image: