quiver
                                
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                        Interactive convnet features visualization for Keras
Quiver
Interactive convnet features visualization for Keras

The quiver workflow
- 
Build your model in keras model = Model(...)
- 
Launch the visualization dashboard with 1 line of code quiver_engine.server.launch(model, classes=['cat','dog'], input_folder='./imgs')
- 
Explore layer activations on all the different images in your input folder. 
Quickstart
Installation
    pip install quiver_engine
If you want the latest version from the repo
    pip install git+git://github.com/keplr-io/quiver.git
Usage
Take your keras model, launching Quiver is a one-liner.
    from quiver_engine import server
    server.launch(model)
This will launch the visualization at localhost:5000
Options
    server.launch(
        model, # a Keras Model
        classes, # list of output classes from the model to present (if not specified 1000 ImageNet classes will be used)
        top, # number of top predictions to show in the gui (default 5)
        # where to store temporary files generatedby quiver (e.g. image files of layers)
        temp_folder='./tmp',
        # a folder where input images are stored
        input_folder='./',
        # the localhost port the dashboard is to be served on
        port=5000,
        # custom data mean
        mean=[123.568, 124.89, 111.56],
        # custom data standard deviation
        std=[52.85, 48.65, 51.56]
    )
Development
Building from master
Check out this repository and run
cd quiver_engine
python setup.py develop
Building the Client
    cd quiverboard
    npm install
    export QUIVER_URL=localhost:5000 # or whatever you set your port to be
    npm start
Note this will run your web application with webpack and hot reloading. If you don't care about that, or are only in this section because pip install somehow failed for you, you should tell it to simply build the javascript files instead
    npm run deploy:prod
Credits
- This is essentially an implementation of some ideas of deepvis and related works.
- A lot of the pre/pos/de processing code was taken from here and other writings of fchollet.
- The dashboard makes use of react-redux-starter-kit
Citing Quiver
misc{bianquiver,
  title={Quiver},
  author={Bian, Jake},
  year={2016},
  publisher={GitHub},
  howpublished={\url{https://github.com/keplr-io/quiver}},
}
