Use this code to execute style transfer tasks as Spell remote runs and download the resulting images.

1. If you don't have Python 3 installed then download and run the Anaconda 3 Python 3.7 version installer from https://www.anaconda.com/distribution.
2. Create an account at http://spell.run
3. Install the Spell command-line interface by running pip install spell from the terminal.
4. Log in to Spell from the terminal by running spell login from the terminal.
5. Download the zip file containg the code for the latest release of this app by visiting https://github.com/ebranda/spell-style-transfer/releases. Extract to a folder in a stable location on your local drive.

This code uses the Neural Style TF method used in the official Spell tutorial (https://learn.spell.run/transferring_style, which uses https://github.com/cysmith/neural-style-tf).

1. Prepare your image folders. Create a folder inside images/style-transfer-images/. Give this folder a descriptive name and number (e.g. Rome-LA-01). Inside your new folder, create a new folder called styles and another called content. Put your style and content images inside these folders.
2. Repeat step 1 with up to three image folders.
3. In the terminal, cd to the spell-client folder you extracted in step 5 above.
4. Run a Spell command (see below).

Execute commands using the syntax python run.py [command].

• systemcheck Checks that your system is up and running and can communicate with Spell.
• st_upload Uploads any sets of images currently in your images/style-transfer-images/ folder.
• st_transfer [quality=low|med|high (default=med)] Runs style transfer on all uploaded image folders (max 3)
• st_download [runId_1][-[runId_end]] Downloads the output file from run [runid] to the local folder images/results. You can download the outputs from multiple runs by listing a range of run ids.

Run system check:

python run.py systemcheck

Upload all image folders inside images/style-transfer-images:

python run.py st_upload

Run style transfer on uploaded image folders at medium quality (800 iterations):

python run.py st_transfer

Run style transfer on uploaded image folders at high quality (2000 iterations):

python run.py st_transfer high

Run style transfer on uploaded image folders at low quality (400 iterations):

python run.py st_transfer low

Download the output file from run 54 to the local folder images/results:

python run.py st_download 54

Download the output files from runs 54 through 60 to the local folder images/results:

python run.py st_download 54-60