jlim262 / FastAnnotation

A tool which aims to streamline the annotation process for computer vision projects dealing with Object Detection, Instance Segmentation and Semantic Segmentation.

FastAnnotation

A tool which aims to streamline the annotation process for computer vision projects dealing with Object Detection, Instance Segmentation and Semantic Segmentation.

Installation

Client

Note: For the following Installation steps please ensure pip is run with administrative privileges.

1. Kivy installation
   1. Windows:

      python -m pip install --upgrade pip wheel setuptools
      python -m pip install docutils pygments pypiwin32 kivy.deps.sdl2 kivy.deps.glew
      python -m pip install kivy.deps.gstreamer
      python -m pip install kivy.deps.angle
      python -m pip install kivy
      

   2. Ubuntu:

      python -m pip install --upgrade pip wheel setuptools
      python -m pip install kivy
      

Server

1. Flask installation

   python -m pip install flask
   python -m pip install flask-restplus
   python -m pip install flask_negotiate
   python -m pip install python-dateutil
   python -m pip install mysql-connector-python
   

2. MySql Installation

   1. Windows:

   TODO
   

   2. Ubuntu:
      1. Install mysql

         sudo apt-get install mysql-workbench
         

      2. Create a connection to the database and run the database/create_database.sql script
      3. (Optional) run the 'database/create_test_data.sql' script to populate tables with test data