hxdaze / monk_gui

A Graphical user Interface for deep learning and computer vision over Monk Libraries

Monk_Gui

A Graphical user Interface for deep learning and computer vision over Monk Libraries

Backend Libraries

• A) Monk - https://github.com/Tessellate-Imaging/monk_v1
  • Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
• B) Monk Object Detection - https://github.com/Tessellate-Imaging/Monk_Object_Detection
  • A one-stop repository for low-code easily-installable object detection pipelines.
  • Check licenses of each pipeline before using

Installation

$ sudo apt-get install python3.6 python3.6-dev python3.7 python3.7-dev python3-pip

$ sudo pip install virtualenv virtualenvwrapper

$ $ echo -e "\n# virtualenv and virtualenvwrapper" >> ~/.bashrc

$ echo "export WORKON_HOME=$HOME/.virtualenvs" >> ~/.bashrc

$ echo "export VIRTUALENVWRAPPER_PYTHON=/usr/bin/python3" >> ~/.bashrc

$ echo "source /usr/local/bin/virtualenvwrapper.sh" >> ~/.bashrc

$ source ~/.bashrc

$ mkvirtualenv -p /usr/bin/python3.6 monk_gui

$ workon monk_gui && pip install numpy pyqt5 tqdm matplotlib pillow

Running GUI

workon monk_gui

python gui.py

Walk Throughs

• Classification Demo 1: Link

• Classification Demo 2: Link

• Object Detection Demo: Link

Author

Tessellate Imaging - https://www.tessellateimaging.com/

Check out Monk AI - (https://github.com/Tessellate-Imaging/monk_v1)

Monk features
    - low-code
    - unified wrapper over major deep learning framework - keras, pytorch, gluoncv
    - syntax invariant wrapper

Enables developers
    - to create, manage and version control deep learning experiments
    - to compare experiments across training metrics
    - to quickly find best hyper-parameters

To contribute to Monk AI or Monk Object Detection repository raise an issue in the git-repo or dm us on linkedin

• Abhishek - https://www.linkedin.com/in/abhishek-kumar-annamraju/
• Akash - https://www.linkedin.com/in/akashdeepsingh01/

Copyright

Copyright 2019 onwards, Tessellate Imaging Private Limited Licensed under the Apache License, Version 2.0 (the "License"); you may not use this project's files except in compliance with the License. A copy of the License is provided in the LICENSE file in this repository.