VisualNN: A Python repository from angelhunt

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

pandoc --latex-engine=xelatex -V mainfont=SimSun --template=pm-template.latex 组件介绍.md -o temp.pdf

Installation Instructions

Setting up VisualNN on your local machine is very easy.

First set up a virtualenv. Fabrik runs on Python2.7.

sudo apt-get install python-pip python-dev python-virtualenv
virtualenv --system-site-packages ~/Fabrik --python=python2.7
source ~/Fabrik/bin/activate

Clone the repository via git

git clone --recursive https://github.com/Cloud-CV/Fabrik.git && cd Fabrik

Rename settings/dev.sample.py as settings/dev.py and change credentials in settings/dev.py
```
cp settings/dev.sample.py settings/dev.py
```
- Change the hostname to localhost in settings/dev.py line 15. It should now look like this:
```
'HOST': os.environ.get("POSTGRES_HOST", 'localhost'), 
```

Install redis server

sudo apt-get install redis-server

Change the hostname to localhost in settings/common.py line 115.

"CONFIG": {
    # replace redis hostname to localhost if running on local system
    "hosts": [("localhost", 6379)],
    "prefix": u'fabrik:',
    },

Replace celery result backend in settings/common.py line 122 with localhost.
```
CELERY_RESULT_BACKEND = 'redis://localhost:6379/0'
```

Change celery broker URL and result backend hostname to localhost in ide/celery_app.py, line 8.

app = Celery('app', broker='redis://localhost:6379/0', backend='redis://localhost:6379/0', include=['ide.tasks'])

If you already have Caffe, Keras and TensorFlow installed on your computer, skip this step.

For Linux users

Install Caffe, Keras and Tensorflow

cd Fabrik/requirements
yes Y | sh caffe_tensorflow_keras_install.sh

Open your ~/.bashrc file and append this line to the end
```
export PYTHONPATH=~/caffe/caffe/python:$PYTHONPATH
```
Save, exit and then run
```
source ~/.bash_profile
cd ..
```

Install dependencies pip install -r requirements/dev.txt
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

Install node modules
```
npm install
npm install --save-dev json-loader
sudo npm install -g webpack@1.15.0
```
- Run the command below in a separate terminal for hot-reloading, i.e. see the changes made to the UI in real time.
```
webpack --progress --watch --colors
```

Start celery worker
```
celery -A ide worker --app=ide.celery_app  --loglevel=info
```
The celery worker needs to be run in parallel to the django server in a separate terminal.
Start django application
```
python manage.py runserver
```
You should now be able to access Fabrik at http://localhost:8000.

Usage

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

angelhunt/VisualNN

Installation Instructions

Usage

Example