/OmniCV-Lib

A computer vision library for omnidirectional (360 degree) cameras.

Primary LanguageC++MIT LicenseMIT

cpp build and test build CD-PyPi PyPI version

A computer vision library for omnidirectional(360°) 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° videos, like cubemap, spherical projections, perspective projection and equirectangular projection.
  • Software applications like 360° 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 to know more about omni directional cameras

Highlights

Output Gallery

Some interesting 360° video effects

Arround the world effect Hollow world effect

Creating custom fisheye images

Equirect2Fisheye Custom image using GUI

GUI to determine fisheye camera parameters

GUI to get radius GUI to get fisheye params

Horizontal and vertical orientation viewing mode support

360° viewer mode 1 360° viewer mode 2

Index to theory, examples and application notes

  • Types of omni directional cameras
  • Examples
    • Equirectangular image to fisheye or pinhole camera image.
    • Fisheye image to equirectangular image.
    • Equirectangular image to cube map image (horizontal or dice format)
    • Convert cube map image (horizontal or dice format) to equirectangular image.
    • Convert equirectangular image to perspective image with desired field of view and viewing angles.
    • Convert cubemap image to perspective image with desired field of view and viewing angles.
  • Application notes
    • GUI to control focus, distortion and view orientation to generate different kinds of distortion effects and get images with different properties.
    • GUI to determine fisheye camera parameters like aperture and fisheye radius for further conversions.
    • GUI to view an equirectangular image in 360° format with control trackbars to change FOV(Field Of View) and viewing angles. (You can download any 360° video from youtube and view it using the GUI and enjoy the 360° viewing experience).

Installation guide

A custom make file has been written which provides quick and easy options for installing and testing the library.

    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.

    pipenv install
    pipenv shell

Running Tests

    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-all
ROS Nodes

To build the ROS nodes follow these steps:

  • Create a folder named omnicv in your ros workspace where you have your other ros packages
roscd src/
mkdir omnicv
  • Add the contents present inside ros_files folder to the omnicv folder created in the previous step.
  • Build the workspace.
cp OmniCV/ros_files/ [PATH TO ROS WORKSPACE]/src/omnicv/
roscd
catkin_make