Deep Dream

DeepDream using Tensorflow 2.3

usage: deepdream.py [-h] --input_image INPUT_IMAGE [--output_dir OUTPUT_DIR]
                    [--layer_names LAYER_NAMES [LAYER_NAMES ...]] [--lr LR]
                    [--octave_scale OCTAVE_SCALE] [--num_octaves NUM_OCTAVES]
                    [--iterations ITERATIONS]

optional arguments:
  -h, --help            show this help message and exit
  --input_image INPUT_IMAGE
                        Path to an input image
  --output_dir OUTPUT_DIR
                        Path to a directory where the output will be saved.
                        Default: Same directory in 'outputs' dir.
  --layer_names LAYER_NAMES [LAYER_NAMES ...]
                        Layer at which we modify image to maximize outputs.
                        Choose either: 'mixed0', 'mixed1', ...,'mixed10' or any combination of them.
                        Default: ['mixed3', 'mixed5']
  --lr LR               Learning rate
                        Default: 0.01
  --octave_scale OCTAVE_SCALE
                        Image scale between octaves
                        Default: 0.75
  --num_octaves NUM_OCTAVES
                        Number of octaves; How many downsampling to do and
                        apply DeepDream.
                        Default determines the maximal num octaves possible.
  --iterations ITERATIONS
                        Number of Gradient Ascent steps per octave.
                        Default: 10

Examples

Checkout the file names for what intermediate layers were used.