Keras CNN filter visualization utility
This is a utility for visualizing convolution filters in a Keras CNN model. Check this blog post.
By default this uses VGG16. Get the reduced model without the fully connected layers from here: https://github.com/awentzonline/keras-vgg-buddy
You can use the utility to project filters on a random image initial image, or on your own image to produce deep-dream like results.
This is quite compute intensive and can take a few minutes depending on image sizes and number of filters. An intermediate image is written to disk so you can see the progress done so far.
usage: viz.py [-h] [--iterations ITERATIONS] [--img IMG]
[--weights_path WEIGHTS_PATH] [--layer LAYER]
[--num_filters NUM_FILTERS] [--size SIZE]
optional arguments:
-h, --help show this help message and exit
--iterations ITERATIONS
Number of gradient ascent iterations
--img IMG Path to image to project filter on, like in google
dream. If not specified, uses a random init
--weights_path WEIGHTS_PATH
Path to network weights file
--layer LAYER Name of layer to use. Uses layer names in model.py
--num_filters NUM_FILTERS
Number of filters to vizualize, starting from filter
number 0.
--size SIZE Image width and height
