PFMonitor -- for deep learning engineer's freedom

The PFMonitor project is aimed to free your eyes on the computer screen while you are training your neural networks. It designed for engineers,students and professors to CHECK your deep learning training process just by PHONE, not sticking to the front of PCs. This monitor contains two main features:

1. Cross-platform. you can show the notifications on ios, android, linux, ubuntu, windows.
2. Free of use

Run the monitor script on the PCs or servers which are training some models after setting the correct parameters,
and the monitor will check your process's status and the file list under your folder.
If there are some changes, monitor will send notifications to the local computer and remote phone

Getting Started

Installing

• system: win10/Ubuntu/...
• python:3+
• Clone or download the repository
• Commands to install requirements via pip wheels
  pip install -r requirements.txt
• Install pushbullet on PC and phone, then sign in or sign up.
• Create the access token at the pushbullet.This access token is a api key for socket connection.

Usage

What the only thing you need to do is setting the correct parameters:

if __name__=='__main__':
    monitor=Monitor(
        api_key='***********',#access token
        model_path='***********',folder which you wanna monitor
        pid=666# int number not string
    )
    monitor.monitor()# start monitoring.......

Demo

Author

• Chris Li - all work

License

This project is licensed under the MIT License - see the LICENSE file for details