deepdreamer framework for doing parameterized experiments based on googles deepdream ipython notebook.
pycaffe. caffe has its own pile of requirements, so if you can get that to work, you should be able to use this just fine.
First, make a folder called 'models', then copy the bvlc_googlenet model data (from caffe) to the models folder, under a directory called "bvlc_googlenet". Alternatively, you can edit the sample_config .json files to point to where you currently have the model stored.
python run_dream.py -c sample_configs/simple_demo.json
python run_dream.py -c sample_configs/guide_demo.json
You'll now have deep dreamed images in the folder 'output'.
Lots of things. Like document the full call interface for proc.Proc.process_image. It's a work in progress. Don't be too hard on it right now.
See LICENSE file