A Graphical user Interface for deep learning and computer vision over Monk 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
$ 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
workon monk_gui
python gui.py
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 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.