DL-Tracker Python Callback Package

A python package for real time tracking of keras model training.

Requirements:

• Tensorflow or Keras
• pika (RabbitMQ Python client)
• requests (Request HTTP Python library)
• Active Internet Connection

Meant to be used in combination with an Android Client: https://github.com/thevarunsharma/DL-Tracker-App

Note: Some additional prior setup is needed to be done before using this package which includes setting up a webhook for database updation and an AMQP cloud server.

Instructions for use

• First, make sure that the above requirements are satisfied.
• Then, add this package in your current working directory

"""
model: 
  A tensorflow or keras model instance created using keras.models.Model or keras.models.Sequential
modelKey:
  unique key identifying the model, to be obtained from the App
password:
  user profile password
"""

# import Tracker callback
from dl_tracker import Tracker

# create a Tracker instance, pass modelKey and password as arguments
tracker = Tracker(modelKey, password)

# pass tracker among callbacks while calling .fit ot .fit_generator method on model
model.fit(..., callbacks=[tracker, ...])

# or
model.fit_generator(..., callbacks=[tracker, ...])