Teaching a program to paint like an artist
There are some things that completely blow your mind. Applying artist specific styles to images is one of them. Completely sci-fiction - although the Prisma filter has made this accessible.
In the last blog, I set up the core software requirements for the Udacity deeplearning course. This blog uses the setup to transfer the styles of 3 famous paintings and apply it to images.
It takes ages for an artist to come to a signature style. It takes longer for another to mimic the style and I cannot fathom if a mimic can apply the style to different images. Deep learning does it with panache. Impressive! I am a convert.
I used the project called fast-style-transfer and ran the following command on an image to produce an output.
# creating a sandbox environment for python conda create -n style-transfer python=3.5 source activate style-transfer conda install -c conda-forge tensorflow=0.11.0 conda install scipy pillow # doing style transfer python evaluate.py --checkpoint ./rain-princess.ckpt --in-path --out-path ./output_image.jpg