Summary

VIAME is a computer vision application designed for do-it-yourself artificial intelligence including object detection, object tracking, image mosaicing, stereo measurement, image/video search, image/video annotation, rapid model generation, and tools for the evaluation of different algorithms. Originally targetting marine species analytics, it now contains many common algorithms and libraries, and is also useful as a generic computer vision library. 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 tools for accomplishing the above. Both a desktop and web version exists for deployments in different types of environments.

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:

• Installing from Pre-Built Binaries
• Building VIAME From Source
• Examples Folder Overview
• Key Toolkit Capabilities
• Image Enhancement and Filtering
• Object Detection Examples
• Object Tracking Examples
• Detection File Formats and Conversions
• Length Measurement Examples
• Detector Training Examples
• Video and Image Search Examples
• Rapid Model Generation
• GUIs for Visualization and Annotation
• Scoring Detectors and Trackers
• Video Archive Summarization
• Core C++/Python Object Types
• Core Pipelining Architecture
• Basic Pipeline Nodes
• New Module Creation Examples
• External Plugin Creation
• KWIVER Full Manual