  Action recognition is an important task for video understanding with broad
applications. However, developing an effective action recognition solution
often requires extensive engineering efforts in building and testing different
combinations of the modules and their hyperparameters. In this demo, we present
AutoVideo, a Python system for automated video action recognition. AutoVideo is
featured for 1) highly modular and extendable infrastructure following the
standard pipeline language, 2) an exhaustive list of primitives for pipeline
construction, 3) data-driven tuners to save the efforts of pipeline tuning, and
4) easy-to-use Graphical User Interface (GUI). AutoVideo is released under MIT
license at https://github.com/datamllab/autovideo
