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Summary

VIAME is a computer vision library designed to integrate several image and video processing algorithms together in a common distributed processing framework, majorly targeting marine species analytics. As it contains many common algorithms and compiles several other popular repositories together as a part of its build process, VIAME is also useful as a general computer vision toolkit. The core infrastructure connecting different system components is currently the KWIVER library, which can connect C/C++, python, and matlab nodes together in a graph-like pipeline architecture. Alongside the pipelined image processing system are a number of standalone utilties for model training, output detection visualization, groundtruth annotation, detector/tracker evaluation (a.k.a. scoring), image/video search, and rapid model generation.

This manual is synced to the VIAME 'master' branch and is updated frequently, you may have to press ctrl-F5 to see the latest updates to avoid using your browser cache of this webpage.

Contents:

.. toctree::
   :maxdepth: 1

   section_links/building_and_installing_viame
   section_links/example_capabilities
   section_links/image_enhancement
   section_links/object_detection
   section_links/object_tracking
   section_links/detection_file_conversions
   section_links/measurement_using_stereo
   section_links/object_detector_training
   section_links/search_and_rapid_model_generation
   section_links/annotation_and_visualization
   section_links/scoring_and_roc_generation
   section_links/archive_summarization
   Core C++/Python Object Types <http://kwiver.readthedocs.io/en/latest/vital/architecture.html>
   Core Pipelining Architecture <http://kwiver.readthedocs.io/en/latest/sprokit/architecture.html>
   Basic Pipeline Nodes <http://kwiver.readthedocs.io/en/latest/arrows/architecture.html>
   section_links/hello_world_pipeline
   section_links/external_plugin_creation
   section_links/using_detectors_in_cxx_code
   KWIVER Full Manual <http://kwiver.readthedocs.io/en/latest/>