Directions for using TensorFlow with the Fast-Style-Transfer repo.
This aritcle assumes that you followed the setup directions found here OR that you have python correctly setup on your machine with an anaconda environment that has TensorFlow installed.
Clone the Fast-Style-Transfer repo: $ git clone https://github.com/lengstrom/fast-style-transfer.git
$ cd fast-style-transfer
Download this Fast Styles Transfer Models from google drive.
Add the downloaded folder to your fast-style-transfer directory.
Add the image that you want to style to your fast-style-transfer directory. Your image should be smaller than 200 KB to finish in a decent amount of time.
Stil from the fast-style-transfer directory, activate your anaconda environment with TensorFlow, for this example it is called tensorflow.
$ source activate tensorflow
In the following code my image file is casey.jpg and I chose to use the la_muse.ckpt transfer model.
$ python evaluate.py --checkpoint Fast\ Style\ Transfer\ Models/la_muse.ckpt \ --in-path casey.JPG \ --out-path ./examples/results
Your finished file will be found in fast-style-transfer/examples/results
If you want to try different effects on the same input image, you will need to change the names of the competed files, such as: ./examples/results/casey.jpg to ./examples/results/casey_la_muse.jpg