Features

KWIVER is a collection of software tools designed to tackle challenging image and video analysis problems and other related challenges. Significant features of KWIVER are:

• Written in C++ and runs on Windows, Linux, and Mac OSX
• Supports integrating modules from other open-source vision projects such as OpenCV and VxL
• Pipeline architecture enables modular algorithmic implementation, including support for alternate development languages such as Python
  and MATLAB
• Application scaling from a single research desktop using file-based I/O up to multi-node cluster with database backends, via
  synchonization and data abstraction frameworks
• Metrics framework enabling experimental reproducibility by integrating evaluation into the workflow
• State-of-the-art visualization tools for video exploitation, allowing geopsatial compositing of algorithmic results with imagery
  and map data