DeepDream

NOTE : This project was meant for Julia 0.6. So it will fail to work with Julia 1.0 and the latest tagged version of Flux. However, an update is WIP

NOTE : If there is no GPU support available please checkout the cpu branch of this repo. The cpu code is not thoroughly tested.

INSTALLATION INSTRUCTIONS

Run this command in the Julia REPL

julia> Pkg.clone("https://github.com/avik-pal/DeepDream.jl.git")

USAGE INSTRUCTIONS

Inorder to generate dreams without using octaves run the following command with your own parameters

julia> img = load_image("./examples/sky.jpg")
julia> load_model(5)
julia> DeepDream.make_step(img, 10, 0.005, true, "./examples/sky_dream_new.jpg")

Make sure to pass all the arguments to the make_step function call to avoid errors. Refer to the function definition to understand what each parameter means.

To make use of octaves run the following commands

julia> img = load_image("./examples/sky.jpg")
julia> load_model(5)
julia> deepdream(img, 10, 0.005, 1.4, 4, "./examples/sky_dream_new.jpg")

Also be sure to checkout the function definition

Incase you want to use any other model than the VGG19 model make sure to pass a function to load_model() which returns the model you want to use
To generate guided dreams run the following code.

julia> guide = load_guide_image("./examples/rio.jpg")
julia> img = load_image("./examples/sky.jpg")
julia> load_model(5)
julia> deepdream(img, 10, 0.005, 1.4, 4, "./examples/sky_dream_guided_new.jpg", guided = true)

The guided_step function might be used independently like the make_step function.

Even easier method is to place all your images in a ./images directory and call the function dream_batch function. Send a guiding image if necessary.
recurdream might be used to generate frames from a given image and using writevideo after that generates a video file.

More indepth documentation is available for each and every function.