/WavaImageDatasetProcessing

This software was designed to improve the time of manual digital images processing of big image datasets

Primary LanguagePythonMIT LicenseMIT

Welcome to Wava Image Dataset Processing

This software was designed to improve the time of manual digital images processing of big image datasets

Requirements [not pip-installable]

  1. Python 2.7.x

    Download Python 2.7.x interpreter here.

  2. OpenCv

    You can use this or this tutorial to install OpenCv in your unix-like system.

  3. PyQt4

    • If you are using a Debian-like system, you can install it using the following command:

      $ sudo apt-get install python-qt4

    • If you are using OS X:

      $ brew install pyqt

    • You can also find a compatible version for your system in oficial PyQt website.

Pip-installable Libraries

$ pip install numpy scipy

Setup

  1. Clone the repo

    $ git clone https://github.com/allexlima/WavaImageDatasetProcessing.git
$ cd WavaImageDatasetProcessing/

  2. Run WavaImageDatasetProcessing

    • You can install WavaImageDatasetProcessing in your Unix-like system running setup.sh file as sudo or root:

      $ sudo ./setup.sh

      and type i to proceed installation. If you want to remove WavaImageDatasetProcessing, you just need run the setup.sh file and type r to uninstall from your PC.

    • Or just run it:

      $ python app.py

Developed by Allex Lima with ❤️ using Python 2.7.x and PyQt4!

Copyright © 2016 WavaImageDatasetProcessing - Licensed by MIT LICENSE.