Metadata-Version: 1.1
Name: omnicv
Version: 1.1.2
Summary: A computer vision library for 360-degree cameras
Home-page: https://kaustubh-sadekar.github.io/OmniCV-Lib/index.html
Author: Kaustubh Sadekar, Leena Vachhani, Abhishek Gupta
Author-email: UNKNOWN
License: MIT
Download-URL: https://github.com/kaustubh-sadekar/OmniCV-Lib/archive/v_1.1.2.tar.gz
Description: OmniCV Library
        ==============
        
        A **computer vision library for omnidirectional(360-degree) cameras**. This package is divided into two parts:
        * **Basic functions** for inter-conversion of different types of mappings associated with omni directional cameras, virtual reality and 360-degree; videos, like cubemap, spherical projections, perspective projection and equirectangular projection.
        * **Software applications** like **360-degree; video viewer**, **fisheye image generator** with variable intrinsic properties, GUI to determine **fisheye camera paraeters**.
        
        
        Objectives of the OmniCV library
        ================================
        
        This library has been developed with the following obectives:
        
        * **Quick and easy** to use API to encourage and enhance the research in areas using omni directional cameras.
        * To support **real time** applications.
        * Provide extensions in **python** as well as **C++** as they are the languages used by researchers.
        * Provide **ROS package** to use in robotics research.
        
        Click `here <https://kaustubh-sadekar.github.io/OmniCV-Lib/index.html>`_ to view the documentation page. There are several examples and other details shared on the documentation page.
        
        Installation guide
        ==================
        
        A custom make file has been written which provides quick and easy options for installing and testing the library.
        
        .. code:: shell
        
            git clone https://github.com/kaustubh-sadekar/OmniCV-Lib
            cd OmniCV-Lib/omnicv/
            # To build c++ as well as python files
            make build-all
            # To build only python files
            make build-python
            # To build only c++ files
            make build-cpp
        
        Installing OmniCV in a virtual environment using pipenv. Pipfile and Pipfile.lock files have been provided. Copy both the files to the present working directory. Then simply run the following commands to setup OmniCV in a local environment.
        
        .. code:: shell
        
            pipenv install
            pipenv shell    
        
        
        Running Tests
        =============
        
        There are two types of tests provided for users. Being a vision based package visual tests have also been provided.
        
        To run non-visual tests
        
        .. code:: shell
        
            cd OmniCV-Lib/omnicv/
            # To test only python extension of the project
            make test-py
            # To test only c++ extension of the project
            make test-cpp
            # To test python as well as c++ extension of the project
            make test-cpp
        
        
        To run visual tests
        
        .. code:: shell
        
            cd OmniCV-Lib/omnicv/
            # To run visual test only python extension of the project
            make test-py-gui
            # To run visual test only c++ extension of the project
            make test-cpp-gui
            # To run visual test python as well as c++ extension of the project
            make test-all-visual
        
        
        Examples are available `here <https://kaustubh-sadekar.github.io/OmniCV-Lib/index.html>`_ on the official documentation page.
        
        
Keywords: Deep Learning,Helper functions
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
