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Author
Last Commit
Dec. 11, 2017
Created
May. 28, 2016

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Fabrik is an online collaborative platform to build, visualize and train deep learning models via a simple drag-and-drop interface. It allows researchers to collaboratively develop and debug models using a web GUI that supports importing, editing and exporting networks written in widely popular frameworks like Caffe, Keras, and TensorFlow.

Interface

This app is presently under active development and we welcome contributions. Please check out our issues thread to find things to work on, or ping us on Gitter.

How to setup

  1. First set up a virtualenv

    sudo apt-get install python-pip python-dev python-virtualenv 
    virtualenv --system-site-packages ~/Fabrik
    source ~/Fabrik/bin/activate
    
  2. Clone the repository

    git clone --recursive https://github.com/Cloud-CV/Fabrik.git
    
  3. If you have Caffe, Keras and Tensorflow already installed on your computer, skip this step

    • For Linux users
      cd Fabrik/requirements
      yes Y | sh caffe_tensorflow_keras_install.sh
      
      Open your ~/.bashrc file and append this line at the end
      export PYTHONPATH=~/caffe/caffe/python:$PYTHONPATH
      
      Save, exit and then run
      source ~/.bash_profile
      cd .. 
      
    • For Mac users
  4. Install dependencies

  • For developers:
    pip install -r requirements/dev.txt
    
  • Others:
    pip install -r requirements/common.txt
    
  1. Install postgres >= 9.5
  • Setup postgres database

    • Start postgresql by typing sudo service postgresql start
    • Now login as user postgres by running sudo -u postgres psql and type the commands below
      CREATE DATABASE fabrik;
      CREATE USER admin WITH PASSWORD 'fabrik';
      ALTER ROLE admin SET client_encoding TO 'utf8';
      ALTER ROLE admin SET default_transaction_isolation TO 'read committed';
      ALTER ROLE admin SET timezone TO 'UTC';
      ALTER USER admin CREATEDB;
    
    • Exit psql by typing in \q and hitting enter.
  • Migrate

    
    python manage.py makemigrations caffe_app
    python manage.py migrate
    
  1. Install node modules
npm install
webpack --progress --watch --colors

Usage

KERAS_BACKEND=theano python manage.py runserver

Example

  • Use example/tensorflow/GoogleNet.pbtxt for tensorflow import
  • Use example/caffe/GoogleNet.prototxt for caffe import
  • Use example/keras/vgg16.json for keras import

Documentation

License

This software is licensed under GNU GPLv3. Please see the included License file. All external libraries, if modified, will be mentioned below explicitly.