Download bvlc_googlenet.caffemodel from https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet, and put it into repository root.
$ python deepdream.py -g 0 -i sample.png -o out_image
- -g n: GPU device index, or -1 to run without GPU.
- -i file_path: Input image file path.
- -o dir_path: Output image directory path.
- -m file_path: Caffe model file path. Default is "bvlc_googlenet.caffemodel".
- -s size: Output image size. Image will be zoomed so that the larger side length equals this value.
- --iter n: Number of iterations. Default is 100.
Original image
<img src="https://raw.githubusercontent.com/dsanno/chainer-deepdream/master/image/original.png" width="484px alt="generated image sample">
Generated after 20 iterations
<img src="https://raw.githubusercontent.com/dsanno/chainer-deepdream/master/image/generated.png" width="484px alt="generated image sample">